SlideShare a Scribd company logo
1 of 3
Download to read offline
IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 11, 2014 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 2346
Abstract--- Water is one of the most important essentials for
the existence of life. Agricultural industries are fully
dependent on supply of water. Irrigation is the key element
for development of agricultural sector. Canal irrigation is a
very popular and reliable approach of irrigation. Its
evaluation is very much necessary for assessment of any
irrigation system. Many researchers have tried to evaluate
irrigation systems by different approaches worldwide; here
an attempt is made to review some such researches done,
with particular reference to canal irrigation, in India and
abroad.
Keywords - Performance Evaluation, Irrigation system,
performance indicators, efficiency, uniformity.
I. INTRODUCTION
Land and water are natural finite resources but due to
indiscriminate and unscrupulous utilization, these resources
are diminishing at an alarming rate. To feed the ever-
increasing population of India, it is emphasized that
agricultural production should be improved on sustainable
basis by efficiently and judiciously utilizing the available
resources. Review of prevailing constraints and existing
status of land and water resources gives an idea about
availability and utilization pattern of these resources,
difference between actual and potential output, and scope
for improvement in the performance of system, which is
represented by its measured levels of achievement in terms
of one or several parameters that are chosen as indicators of
the system’s goals.
Irrigation systems are hard to come to reality in today’s
complex socio-economic situations as more emphasis is
placed on environment and other related aspects. At the
same time population and food grain requirements are
increasing at an alarming rate. These constraints leads to
alternatives in the form of reallocations and efficiency
improvements, reuse of water, conservation of water, etc
within sustainability framework. These solutions are
comparatively cost effective and less disruptive to
ecosystems.
Therefore, Performance Evaluation of an existing irrigation
system is gaining attention of researchers, planners and
managers in recent years. It is always wiser to know the
performance of existing system on various aspects and take
a corrective step for possible improvement to it.
Performance indicators can be used as the basis for
improving irrigation systems for better management. Several
efforts have been made to identify universal comparative
performance indicators to analyze and evaluate irrigation
system.
II. REVIEW
The study of various literatures suggests that evaluation of
canal irrigation systems has been done by various
researchers by following different approaches,
a) Using various performance indices or indicators.
b) Using advance techniques of remote sensing and GIS.
c) Using hydrological models.
d) Using Decision support system like Fuzzy logic.
Amongst various researchers work of Burt, Molden, Singh,
Droogers, Style and Marino used performance indicator or
indices to evaluate irrigation system, however Bastiaanssen
and Bos and Ray used advance techniques of GIS and
Remote sensing combine with performance indicators.
Similarly Mishra, Droogers and Bastiaanssen used GIS and
Remote sensing combine with hydrological model.
A. Reddye (1986) expressed performance of an irrigation
project can be measured in terms of technical
efficiencies with which the water was provided to the
crop root zone, total agricultural production from the
project and the equity.
B. Das et al (1992) suggested performance evaluation
parameters of irrigation canal systems should involve
factors such as command area, canal network, control
structures, cropping patterns, and weather conditions as
well as human factors.
C. Mohamed (1992) reported a field multi- objective
evaluation of performance of irrigation systems is
limited. Due to this inadequate understanding of field
conditions, causes and magnitudes of priority problems
were not fully identified especially in less developed
countries. Most studies and reports are either based on
rapid appraisals or concentrating on one part of the
system.
D. Burt et al (1997) emphasized to standardize the
definitions and approaches to quantify various irrigation
performance measures. The ASCE Task committee on
defining irrigation efficiency and uniformity provides a
comprehensive examination of various performance
indices such as irrigation efficiency, irrigation
consumptive use coefficient, application efficiency,
irrigation sagacity, distribution uniformity, adequacy
and potential application efficiency. They proposed
methods to assess the accuracy of numerical values of
the performance indicators.[1]
E. Clemmens and Burt (1997) suggested that evaluation of
actual irrigation system performance should rely on an
accurate hydrologic water balance over the area
considered. They provided equations, procedures and
examples for making these calculations and
Review of Performance Evaluation of Canal Irrigation System
Mr. Ronak .B. Patel1
Dr. N.J. Shrimali2
Prof. M.A. Modi3
1
Student, M.E. Hydraulic Structures - CIVIL, 2
Asso. Professor, 3
Asst. Professor Civil Engineering. Dept.
Faculty of Technology & Engg. M.S.U., Baroda, Gujarat, India
Review of Performance Evaluation of Canal Irrigation System
(IJSRD/Vol. 1/Issue 11/2014/0024)
All rights reserved by www.ijsrd.com 2347
recommended that confidence intervals be included in
all reporting of irrigation performance parameters.[2]
F. Molden et al (1998) compared performance of eighteen
irrigation systems located in eleven different countries
through various indicators. They presented nine
indicators namely output per unit cropped area, output
per unit command, output per unit irrigation supply,
output per unit water consumed, relative water supply,
relative irrigation supply, water delivery capacity, gross
return on investment, and financial self-sufficiency.
Results showed large differences in performance among
the systems.[3]
G. Singh (1998) highlighted the need for improvement in
hydraulic performance of conveyance system, equity,
adequacy and efficacy of water supply suitable to crop
production system. He also presented some
performance evaluation parameters in order to assess
the functioning of (i) conveyance, distribution and
application systems; (ii) command system; (iii) crop
production system; and (iv) farmers organizational
network and its linkage with the state departments.[4]
H. Bastiaanssen and Bos (1999) after reviewing significant
works suggested to use remote sensing determinants to
evaluate irrigation performance indicators and
suggested that it refines the spatial scale as compared to
the classically collected flow measurements.
Bastiaanssen et al.(1999) and Sakthivadivel et al.(1999)
assessed performance of the Bhakra Irrigation System
in Haryana using remote sensing data and presented
spatial variation of productivity in terms of land (kg/ha)
and water (kg/m3). They found that differences in
agricultural performance could be ascribed more to the
hydrological setting rather than to the water delivery
performance.[5]
I. Droogers et al (1999) used four performance indicators:
yield over transpiration, yield over evapotranspiration,
yield over flow volume, and yield over depleted water
and they concluded that if irrigation performance
indicators are used only at a local scale, a misleading
picture can be given on the regional scale. This paves a
way for evaluating the management of all water
resources in a river basin context.[6]
J. Mishra et al (2001) applied the MIKE 11 hydraulic
model to the Right Bank Main Canal system of the
Kangsabati project, West Bengal, India and computed a
performance ratio (a ratio of the observed flow rate to
the scheduled flow rate), which was used as an indicator
for assessing the degree of uniformity in flow deliveries
along the length of the canal. A sharp decline was seen
in the performance ratio along the length of the canal
because most of the distributaries of the head and
middle reaches have drawn more than their desired
shares.[7]
K. Droogers and Bastiaanssen (2002) reported that
irrigation performance and water accounting are useful
tools to assess water use and related productivity.
Remote sensing and a hydrological model were applied
to an irrigation project in Western Turkey to estimate
the water balance to support water use and productivity
analyses. Some common irrigation performance
indicators such as the relative water supply, relative
irrigation supply, depleted fraction and process fraction
were quantified.[8]
L. Ray et al (2002) computed multi- temporal remote
sensing data based performance indices namely
adequacy, equity and water use efficiency for the
distributaries of the Mahi Right Bank Canal command
in Gujarat, India. The analysis showed that performance
indicators could identify the problem distributaries, an
intensively managed and studied irrigation system. The
integration of remote sensing data and GIS tools to
regularly compute performance indices could provide
irrigation managers with the means for efficiently
managing the irrigation system.[9]
M. Styles and Marino (2002) utilized and refined a set of
evaluation indicators to describe the irrigation
performance for sixteen international irrigation projects
in less developed countries and found that performance
of many projects was poor. The causes behind the poor
performance of these projects were due to technical,
financial, managerial, social, and /or institutional
causes. They concluded that modernized irrigation
delivery service index can be used as a determinant of
an economic irrigation project performance
indicator.[10]
N. Bandara (2003) used NOAA satellite data to assess the
performance of three large irrigation systems in Sri
Lanka during the 1999 yala (dry season from April to
July): Polo nnaruwa, Kirindi Oya and Gal Oya. In
Kirindi Oya, the relative water supply was higher than
in the other two systems and irrigation efficiency was
considerably lower. He evaluated evapotranspiration
deficit (ETp- ETa), productivity of land, productivity of
water inflow, and productivity per unit ET.[11]
O. Wichelns (2004) expressed the need for innovations in
technology and policy dimensions of water resource
management to achieve gain in productivity required to
feed the world’s growing population.[12]
P. Bhatta et al. (2006) compared performance of agency-
managed and farmer managed irrigation systems for a
case study of Chitwan, Nepal and discussed various
relevant aspects.[12]
Q. McKay & Keremane (2006) examined the institutional
arrangements in Mula irrigation scheme, Maharashtra
state, India. It is observed that Water Users Association
(WUA) is successful in devising and enforcing the rules
for water distribution, fee collection and conflict
resolution.[12]
R. Wegerich (2007) explored aspects of equity of water
allocation amongst riparian states in the Amu Darya
basin and districts within the Khorezm Province of
Uzbekistan. He also discussed various issues related to
equity.[12]
S. Burt (2007) discussed various perspectives of
volumetric water pricing such as physical
modernization, fee structure, enforcement procedures,
and the level of water delivery service.[12]
T. Akkuzu et al. (2007) evaluated general irrigation
planning performance of thirteen Water User
Associations of the Gediz Basin in Turkey. The
objective was to verify the extent to which the targets
have been met for six performance indicators i.e.,
Review of Performance Evaluation of Canal Irrigation System
(IJSRD/Vol. 1/Issue 11/2014/0024)
All rights reserved by www.ijsrd.com 2348
irrigation ratio realization level, crop pattern realization
level, adequacy of water supplied, dependability,
efficiency and equity for the year 1999-2002.[12]
U. Molle (2009) discussed about pricing of irrigation water
and irrigation schemes that combine conditions of water
scarcity and volumetric pricing, either at the bulk or
individual level. It is also concluded that scarcity is
almost invariably dealt with through the definition of
quotas. He also discussed advantages and drawbacks of
quotas. Various aspects considered in above studies
helped in identifying the performance indicators to be
evaluated.[12]
III. CONCLUSIONS & OBSERVATIONS
It is observed that evaluation by performance indices is
more popular approach, however in present era of modern
technology software based study using techniques of
Remote sensing and GIS is gaining popularity. Most of the
researchers have used same indices and some have to try to
develop some different indices. It has also been observed
that some researchers have jointly used either Remote
sensing and GIS with performance indices or Remote
sensing and GIS with hydrological model for this study &
obtained very good results.
REFERENCES
[1] Burt, C.M., Clemmens, A.J., StrelKoff, T.S., Solomon,
K.H., Bliesner, R.D., Hardy, L.A., Howell, T.A., and
Eisenhauer, D.E. (1997). Irrigation performance
measures: efficiency and uniformity. Journal of
Irrigation and Drainage engineering 123(6): 423-442.
[2] Clemmens, A. J., and Burt, C.M. (1997). Accuracy of
irrigation efficiency estimates. Journal of Irrigation and
Drainage engineering 123(6): 443-453.
[3] Molden, D. J., Sakthivadivel, R., Perry, C. J., Fraiture, C.
de and Kloezen, W.H. (1998). Indicators for comparing
performance of irrigated agricultural systems. Research
Report 20. Colombo, Sri Lanka: International Water
Management Institute. pp.1-26.
[4] Singh.S.R. (1998). “Peoples managed irrigation systems
in partnership mode-status and method for performance
evaluation”. Proceedings of the National Seminar on
Water management for sustnable agriculture-problems
and perspectives for the 21st Century, IARI, New Delhi,
pp.427-439.
[5] Droogers, P., Kite, G.W. and Bastiaanssen, W.G.M.
(1999). Integrated basin modeling to evaluate water
productivity, Proc. 17th Congress ICID, Question 48,
R1.01, vol.1A, 11-19 September,Granada, Spain:1-13.
[6] Mishra, A., Anand, A., Singh, R., and Raghubanshi, N.S.
(2001). Hydraulic modeling of Kangsabati main canal
for performance assessement. Journal of Irrigation and
Drainage engineering 127(1): 27-34.
[7] Droogers, P. and Bastiaanssen, W. (2002).Irrigation
performance using hydrological and remote sensing
modeling. Journal of Irrigation and Drainage engineering
128 (1): 11-18.
[8] Ray, S.S., Dadhwal, V.K., Navalgund, R.R.
(2002).Performance evaluation of an irrigation command
area using remote sensing: a case study of Mahi
command, Gujrat, India. Agricultural water management
56(2):81-91.
[9] Styles, S.W. and Marino, M.A. (2002). Water delivery
service as a determinant of irrigation project
performance. Presented at the July 21-28, 2002 18th
ICID Congress. Montreal, Canada.
[10] Bandara, K.M.P.S. (2003). Monitoring irrigation
performance in Sri Lanka with highfrequency satellite
measurements during the dry season. Agricultural water
management 58(2):159-170.
[11] Fuzzy Based Performance Evaluation of Irrigation
Subsystems, International Journal of Earth Sciences and
Engineering (ISSN 0974-5904, Volume 04, No 06 SPL,
October 2011, pp 294-297)

More Related Content

What's hot

IRJET - Groundwater Quality Analysis using GIS
IRJET - Groundwater Quality Analysis using GISIRJET - Groundwater Quality Analysis using GIS
IRJET - Groundwater Quality Analysis using GISIRJET Journal
 
Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...
Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...
Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...National Institute of Food and Agriculture
 
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...National Institute of Food and Agriculture
 
Application of Swat Model for Generating Surface Runoff and Estimation of Wat...
Application of Swat Model for Generating Surface Runoff and Estimation of Wat...Application of Swat Model for Generating Surface Runoff and Estimation of Wat...
Application of Swat Model for Generating Surface Runoff and Estimation of Wat...IRJET Journal
 
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...National Institute of Food and Agriculture
 
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFERTHE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFERamsjournal
 
Paper id 41201611
Paper id 41201611Paper id 41201611
Paper id 41201611IJRAT
 
Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...
Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...
Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...National Institute of Food and Agriculture
 
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...National Institute of Food and Agriculture
 
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...iosrjce
 
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...Oyeniyi Samuel
 
Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...
Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...
Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...AI Publications
 

What's hot (15)

IRJET - Groundwater Quality Analysis using GIS
IRJET - Groundwater Quality Analysis using GISIRJET - Groundwater Quality Analysis using GIS
IRJET - Groundwater Quality Analysis using GIS
 
T0 numtq0ndy=
T0 numtq0ndy=T0 numtq0ndy=
T0 numtq0ndy=
 
Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...
Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...
Toward Sustainable Nitrogen and Carbon Cycling on Diversified Horticulture Fa...
 
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
 
Application of Swat Model for Generating Surface Runoff and Estimation of Wat...
Application of Swat Model for Generating Surface Runoff and Estimation of Wat...Application of Swat Model for Generating Surface Runoff and Estimation of Wat...
Application of Swat Model for Generating Surface Runoff and Estimation of Wat...
 
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
 
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFERTHE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
 
GHG Groundwater
GHG GroundwaterGHG Groundwater
GHG Groundwater
 
Paper id 41201611
Paper id 41201611Paper id 41201611
Paper id 41201611
 
Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...
Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...
Measuring Success of Targeted BMP Implementation, and Getting Smarter about E...
 
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
Water Quality and Productivity Enhancement in an Irrigated River Basin throug...
 
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...
 
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...
 
Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...
Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...
Assessment of the Upstream Water Quality of a Narrow River using Numerical Mo...
 
Erosion and runoff evaluation
Erosion and runoff evaluationErosion and runoff evaluation
Erosion and runoff evaluation
 

Similar to Review of performance evaluation of canal irrigation system

Page 1 of 22 Water Utility Efficiency Assessment Using a .docx
 Page 1 of 22 Water Utility Efficiency Assessment Using a .docx Page 1 of 22 Water Utility Efficiency Assessment Using a .docx
Page 1 of 22 Water Utility Efficiency Assessment Using a .docxMARRY7
 
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...IRJET Journal
 
Development of a GIS-Based System for Management of Water Distribution Networ...
Development of a GIS-Based System for Management of Water Distribution Networ...Development of a GIS-Based System for Management of Water Distribution Networ...
Development of a GIS-Based System for Management of Water Distribution Networ...IRJET Journal
 
Modernization.pptx
Modernization.pptxModernization.pptx
Modernization.pptxUpmaSharma22
 
5.benchmarking of
5.benchmarking of5.benchmarking of
5.benchmarking oflibfsb
 
Shiambuku Stellar and Mayer 2016
Shiambuku Stellar and Mayer 2016Shiambuku Stellar and Mayer 2016
Shiambuku Stellar and Mayer 2016Morgan Shimabuku
 
IRJET- Assessing Spatial Variability of Groundwater Quality using GIS Tec...
IRJET-  	  Assessing Spatial Variability of Groundwater Quality using GIS Tec...IRJET-  	  Assessing Spatial Variability of Groundwater Quality using GIS Tec...
IRJET- Assessing Spatial Variability of Groundwater Quality using GIS Tec...IRJET Journal
 
IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...
IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...
IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...IRJET Journal
 
Regression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna riverRegression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna riverAlexander Decker
 
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...IRJET Journal
 
Statistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters toStatistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters toeSAT Publishing House
 
Statistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters toStatistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters toeSAT Publishing House
 
Assessment of Water Pollution of Water Bodies using GIS - A Review
Assessment of Water Pollution of Water Bodies using GIS - A ReviewAssessment of Water Pollution of Water Bodies using GIS - A Review
Assessment of Water Pollution of Water Bodies using GIS - A Reviewijtsrd
 
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERHYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERIRJET Journal
 
IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...
IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...
IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...IRJET Journal
 
Evaluation of participatory irrigation management in kerala with special
Evaluation of participatory irrigation management in kerala with specialEvaluation of participatory irrigation management in kerala with special
Evaluation of participatory irrigation management in kerala with specialAnuRadha336
 
IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...
IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...
IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...India-EU Water Partnership
 
STUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEM
STUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEMSTUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEM
STUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEMIRJET Journal
 
AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...
AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...
AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...Venkataraju Badanapuri
 

Similar to Review of performance evaluation of canal irrigation system (20)

Page 1 of 22 Water Utility Efficiency Assessment Using a .docx
 Page 1 of 22 Water Utility Efficiency Assessment Using a .docx Page 1 of 22 Water Utility Efficiency Assessment Using a .docx
Page 1 of 22 Water Utility Efficiency Assessment Using a .docx
 
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...
 
call for papers, research paper publishing, where to publish research paper, ...
call for papers, research paper publishing, where to publish research paper, ...call for papers, research paper publishing, where to publish research paper, ...
call for papers, research paper publishing, where to publish research paper, ...
 
Development of a GIS-Based System for Management of Water Distribution Networ...
Development of a GIS-Based System for Management of Water Distribution Networ...Development of a GIS-Based System for Management of Water Distribution Networ...
Development of a GIS-Based System for Management of Water Distribution Networ...
 
Modernization.pptx
Modernization.pptxModernization.pptx
Modernization.pptx
 
5.benchmarking of
5.benchmarking of5.benchmarking of
5.benchmarking of
 
Shiambuku Stellar and Mayer 2016
Shiambuku Stellar and Mayer 2016Shiambuku Stellar and Mayer 2016
Shiambuku Stellar and Mayer 2016
 
IRJET- Assessing Spatial Variability of Groundwater Quality using GIS Tec...
IRJET-  	  Assessing Spatial Variability of Groundwater Quality using GIS Tec...IRJET-  	  Assessing Spatial Variability of Groundwater Quality using GIS Tec...
IRJET- Assessing Spatial Variability of Groundwater Quality using GIS Tec...
 
IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...
IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...
IRJET- GIS based Quantitative Morphometric Analysis of Warna Watershed, Mahar...
 
Regression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna riverRegression models for prediction of water quality in krishna river
Regression models for prediction of water quality in krishna river
 
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...
 
Statistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters toStatistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters to
 
Statistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters toStatistical analysis to identify the main parameters to
Statistical analysis to identify the main parameters to
 
Assessment of Water Pollution of Water Bodies using GIS - A Review
Assessment of Water Pollution of Water Bodies using GIS - A ReviewAssessment of Water Pollution of Water Bodies using GIS - A Review
Assessment of Water Pollution of Water Bodies using GIS - A Review
 
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERHYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVER
 
IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...
IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...
IRJET- A Review of Hydrochemical Assessment and GIS Mapping of Groundwater in...
 
Evaluation of participatory irrigation management in kerala with special
Evaluation of participatory irrigation management in kerala with specialEvaluation of participatory irrigation management in kerala with special
Evaluation of participatory irrigation management in kerala with special
 
IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...
IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...
IEWP @ National Workshop on " Blueprint Water Accounting in India", 15 februa...
 
STUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEM
STUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEMSTUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEM
STUDY OF WATER MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEM
 
AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...
AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...
AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...
 

Recently uploaded

CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and usesDevarapalliHaritha
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacingjaychoudhary37
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ
 

Recently uploaded (20)

CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and uses
 
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacing
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
 

Review of performance evaluation of canal irrigation system

  • 1. IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 11, 2014 | ISSN (online): 2321-0613 All rights reserved by www.ijsrd.com 2346 Abstract--- Water is one of the most important essentials for the existence of life. Agricultural industries are fully dependent on supply of water. Irrigation is the key element for development of agricultural sector. Canal irrigation is a very popular and reliable approach of irrigation. Its evaluation is very much necessary for assessment of any irrigation system. Many researchers have tried to evaluate irrigation systems by different approaches worldwide; here an attempt is made to review some such researches done, with particular reference to canal irrigation, in India and abroad. Keywords - Performance Evaluation, Irrigation system, performance indicators, efficiency, uniformity. I. INTRODUCTION Land and water are natural finite resources but due to indiscriminate and unscrupulous utilization, these resources are diminishing at an alarming rate. To feed the ever- increasing population of India, it is emphasized that agricultural production should be improved on sustainable basis by efficiently and judiciously utilizing the available resources. Review of prevailing constraints and existing status of land and water resources gives an idea about availability and utilization pattern of these resources, difference between actual and potential output, and scope for improvement in the performance of system, which is represented by its measured levels of achievement in terms of one or several parameters that are chosen as indicators of the system’s goals. Irrigation systems are hard to come to reality in today’s complex socio-economic situations as more emphasis is placed on environment and other related aspects. At the same time population and food grain requirements are increasing at an alarming rate. These constraints leads to alternatives in the form of reallocations and efficiency improvements, reuse of water, conservation of water, etc within sustainability framework. These solutions are comparatively cost effective and less disruptive to ecosystems. Therefore, Performance Evaluation of an existing irrigation system is gaining attention of researchers, planners and managers in recent years. It is always wiser to know the performance of existing system on various aspects and take a corrective step for possible improvement to it. Performance indicators can be used as the basis for improving irrigation systems for better management. Several efforts have been made to identify universal comparative performance indicators to analyze and evaluate irrigation system. II. REVIEW The study of various literatures suggests that evaluation of canal irrigation systems has been done by various researchers by following different approaches, a) Using various performance indices or indicators. b) Using advance techniques of remote sensing and GIS. c) Using hydrological models. d) Using Decision support system like Fuzzy logic. Amongst various researchers work of Burt, Molden, Singh, Droogers, Style and Marino used performance indicator or indices to evaluate irrigation system, however Bastiaanssen and Bos and Ray used advance techniques of GIS and Remote sensing combine with performance indicators. Similarly Mishra, Droogers and Bastiaanssen used GIS and Remote sensing combine with hydrological model. A. Reddye (1986) expressed performance of an irrigation project can be measured in terms of technical efficiencies with which the water was provided to the crop root zone, total agricultural production from the project and the equity. B. Das et al (1992) suggested performance evaluation parameters of irrigation canal systems should involve factors such as command area, canal network, control structures, cropping patterns, and weather conditions as well as human factors. C. Mohamed (1992) reported a field multi- objective evaluation of performance of irrigation systems is limited. Due to this inadequate understanding of field conditions, causes and magnitudes of priority problems were not fully identified especially in less developed countries. Most studies and reports are either based on rapid appraisals or concentrating on one part of the system. D. Burt et al (1997) emphasized to standardize the definitions and approaches to quantify various irrigation performance measures. The ASCE Task committee on defining irrigation efficiency and uniformity provides a comprehensive examination of various performance indices such as irrigation efficiency, irrigation consumptive use coefficient, application efficiency, irrigation sagacity, distribution uniformity, adequacy and potential application efficiency. They proposed methods to assess the accuracy of numerical values of the performance indicators.[1] E. Clemmens and Burt (1997) suggested that evaluation of actual irrigation system performance should rely on an accurate hydrologic water balance over the area considered. They provided equations, procedures and examples for making these calculations and Review of Performance Evaluation of Canal Irrigation System Mr. Ronak .B. Patel1 Dr. N.J. Shrimali2 Prof. M.A. Modi3 1 Student, M.E. Hydraulic Structures - CIVIL, 2 Asso. Professor, 3 Asst. Professor Civil Engineering. Dept. Faculty of Technology & Engg. M.S.U., Baroda, Gujarat, India
  • 2. Review of Performance Evaluation of Canal Irrigation System (IJSRD/Vol. 1/Issue 11/2014/0024) All rights reserved by www.ijsrd.com 2347 recommended that confidence intervals be included in all reporting of irrigation performance parameters.[2] F. Molden et al (1998) compared performance of eighteen irrigation systems located in eleven different countries through various indicators. They presented nine indicators namely output per unit cropped area, output per unit command, output per unit irrigation supply, output per unit water consumed, relative water supply, relative irrigation supply, water delivery capacity, gross return on investment, and financial self-sufficiency. Results showed large differences in performance among the systems.[3] G. Singh (1998) highlighted the need for improvement in hydraulic performance of conveyance system, equity, adequacy and efficacy of water supply suitable to crop production system. He also presented some performance evaluation parameters in order to assess the functioning of (i) conveyance, distribution and application systems; (ii) command system; (iii) crop production system; and (iv) farmers organizational network and its linkage with the state departments.[4] H. Bastiaanssen and Bos (1999) after reviewing significant works suggested to use remote sensing determinants to evaluate irrigation performance indicators and suggested that it refines the spatial scale as compared to the classically collected flow measurements. Bastiaanssen et al.(1999) and Sakthivadivel et al.(1999) assessed performance of the Bhakra Irrigation System in Haryana using remote sensing data and presented spatial variation of productivity in terms of land (kg/ha) and water (kg/m3). They found that differences in agricultural performance could be ascribed more to the hydrological setting rather than to the water delivery performance.[5] I. Droogers et al (1999) used four performance indicators: yield over transpiration, yield over evapotranspiration, yield over flow volume, and yield over depleted water and they concluded that if irrigation performance indicators are used only at a local scale, a misleading picture can be given on the regional scale. This paves a way for evaluating the management of all water resources in a river basin context.[6] J. Mishra et al (2001) applied the MIKE 11 hydraulic model to the Right Bank Main Canal system of the Kangsabati project, West Bengal, India and computed a performance ratio (a ratio of the observed flow rate to the scheduled flow rate), which was used as an indicator for assessing the degree of uniformity in flow deliveries along the length of the canal. A sharp decline was seen in the performance ratio along the length of the canal because most of the distributaries of the head and middle reaches have drawn more than their desired shares.[7] K. Droogers and Bastiaanssen (2002) reported that irrigation performance and water accounting are useful tools to assess water use and related productivity. Remote sensing and a hydrological model were applied to an irrigation project in Western Turkey to estimate the water balance to support water use and productivity analyses. Some common irrigation performance indicators such as the relative water supply, relative irrigation supply, depleted fraction and process fraction were quantified.[8] L. Ray et al (2002) computed multi- temporal remote sensing data based performance indices namely adequacy, equity and water use efficiency for the distributaries of the Mahi Right Bank Canal command in Gujarat, India. The analysis showed that performance indicators could identify the problem distributaries, an intensively managed and studied irrigation system. The integration of remote sensing data and GIS tools to regularly compute performance indices could provide irrigation managers with the means for efficiently managing the irrigation system.[9] M. Styles and Marino (2002) utilized and refined a set of evaluation indicators to describe the irrigation performance for sixteen international irrigation projects in less developed countries and found that performance of many projects was poor. The causes behind the poor performance of these projects were due to technical, financial, managerial, social, and /or institutional causes. They concluded that modernized irrigation delivery service index can be used as a determinant of an economic irrigation project performance indicator.[10] N. Bandara (2003) used NOAA satellite data to assess the performance of three large irrigation systems in Sri Lanka during the 1999 yala (dry season from April to July): Polo nnaruwa, Kirindi Oya and Gal Oya. In Kirindi Oya, the relative water supply was higher than in the other two systems and irrigation efficiency was considerably lower. He evaluated evapotranspiration deficit (ETp- ETa), productivity of land, productivity of water inflow, and productivity per unit ET.[11] O. Wichelns (2004) expressed the need for innovations in technology and policy dimensions of water resource management to achieve gain in productivity required to feed the world’s growing population.[12] P. Bhatta et al. (2006) compared performance of agency- managed and farmer managed irrigation systems for a case study of Chitwan, Nepal and discussed various relevant aspects.[12] Q. McKay & Keremane (2006) examined the institutional arrangements in Mula irrigation scheme, Maharashtra state, India. It is observed that Water Users Association (WUA) is successful in devising and enforcing the rules for water distribution, fee collection and conflict resolution.[12] R. Wegerich (2007) explored aspects of equity of water allocation amongst riparian states in the Amu Darya basin and districts within the Khorezm Province of Uzbekistan. He also discussed various issues related to equity.[12] S. Burt (2007) discussed various perspectives of volumetric water pricing such as physical modernization, fee structure, enforcement procedures, and the level of water delivery service.[12] T. Akkuzu et al. (2007) evaluated general irrigation planning performance of thirteen Water User Associations of the Gediz Basin in Turkey. The objective was to verify the extent to which the targets have been met for six performance indicators i.e.,
  • 3. Review of Performance Evaluation of Canal Irrigation System (IJSRD/Vol. 1/Issue 11/2014/0024) All rights reserved by www.ijsrd.com 2348 irrigation ratio realization level, crop pattern realization level, adequacy of water supplied, dependability, efficiency and equity for the year 1999-2002.[12] U. Molle (2009) discussed about pricing of irrigation water and irrigation schemes that combine conditions of water scarcity and volumetric pricing, either at the bulk or individual level. It is also concluded that scarcity is almost invariably dealt with through the definition of quotas. He also discussed advantages and drawbacks of quotas. Various aspects considered in above studies helped in identifying the performance indicators to be evaluated.[12] III. CONCLUSIONS & OBSERVATIONS It is observed that evaluation by performance indices is more popular approach, however in present era of modern technology software based study using techniques of Remote sensing and GIS is gaining popularity. Most of the researchers have used same indices and some have to try to develop some different indices. It has also been observed that some researchers have jointly used either Remote sensing and GIS with performance indices or Remote sensing and GIS with hydrological model for this study & obtained very good results. REFERENCES [1] Burt, C.M., Clemmens, A.J., StrelKoff, T.S., Solomon, K.H., Bliesner, R.D., Hardy, L.A., Howell, T.A., and Eisenhauer, D.E. (1997). Irrigation performance measures: efficiency and uniformity. Journal of Irrigation and Drainage engineering 123(6): 423-442. [2] Clemmens, A. J., and Burt, C.M. (1997). Accuracy of irrigation efficiency estimates. Journal of Irrigation and Drainage engineering 123(6): 443-453. [3] Molden, D. J., Sakthivadivel, R., Perry, C. J., Fraiture, C. de and Kloezen, W.H. (1998). Indicators for comparing performance of irrigated agricultural systems. Research Report 20. Colombo, Sri Lanka: International Water Management Institute. pp.1-26. [4] Singh.S.R. (1998). “Peoples managed irrigation systems in partnership mode-status and method for performance evaluation”. Proceedings of the National Seminar on Water management for sustnable agriculture-problems and perspectives for the 21st Century, IARI, New Delhi, pp.427-439. [5] Droogers, P., Kite, G.W. and Bastiaanssen, W.G.M. (1999). Integrated basin modeling to evaluate water productivity, Proc. 17th Congress ICID, Question 48, R1.01, vol.1A, 11-19 September,Granada, Spain:1-13. [6] Mishra, A., Anand, A., Singh, R., and Raghubanshi, N.S. (2001). Hydraulic modeling of Kangsabati main canal for performance assessement. Journal of Irrigation and Drainage engineering 127(1): 27-34. [7] Droogers, P. and Bastiaanssen, W. (2002).Irrigation performance using hydrological and remote sensing modeling. Journal of Irrigation and Drainage engineering 128 (1): 11-18. [8] Ray, S.S., Dadhwal, V.K., Navalgund, R.R. (2002).Performance evaluation of an irrigation command area using remote sensing: a case study of Mahi command, Gujrat, India. Agricultural water management 56(2):81-91. [9] Styles, S.W. and Marino, M.A. (2002). Water delivery service as a determinant of irrigation project performance. Presented at the July 21-28, 2002 18th ICID Congress. Montreal, Canada. [10] Bandara, K.M.P.S. (2003). Monitoring irrigation performance in Sri Lanka with highfrequency satellite measurements during the dry season. Agricultural water management 58(2):159-170. [11] Fuzzy Based Performance Evaluation of Irrigation Subsystems, International Journal of Earth Sciences and Engineering (ISSN 0974-5904, Volume 04, No 06 SPL, October 2011, pp 294-297)