Presentation cum talk delivered by Dr Anjana Vyas, Dean CEPT University, Ahmedabad during 31st National Convention of Civil Engineering organized by The Institution of Engineers (India) Gujarat State Center, Ahmedabad
identification of ground water potential zones using gis and remote sensingtp jayamohan
the identification of ground water potential zones using gis and remote sensing.The study is conducted in the Muvattupuzha block.The various parameters used are geology,geomorphology,rainfall,soil type,etc.
The Global Positioning System is a satellite-based radio navigation system for determination of precise position and time, using radio signals from the satellites, in real-time or in post-processing mode.
identification of ground water potential zones using gis and remote sensingtp jayamohan
the identification of ground water potential zones using gis and remote sensing.The study is conducted in the Muvattupuzha block.The various parameters used are geology,geomorphology,rainfall,soil type,etc.
The Global Positioning System is a satellite-based radio navigation system for determination of precise position and time, using radio signals from the satellites, in real-time or in post-processing mode.
Iirs overview -Remote sensing and GIS application in Water Resources ManagementTushar Dholakia
Remote sensing and GIS application in Water Resources Management- By S.P. Aggarval spa@iirs.gov.in Indian Institute of Remote sensing ISRO, Department of space, Dehradun
IMAGE INTERPRETATION TECHNIQUES of surveyKaran Patel
Image interpretation is the process of examining an aerial photo or digital remote sensing image and manually identifying the features in that image. This method can be highly reliable and a wide variety of features can be identified, such as riparian vegetation type and condition, and anthropogenic features
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTORRaster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
The subsurface occurrence of groundwater may be divided into zones of aeration and saturation. The vertical distribution of groundwater is explained in this module.
Iirs overview -Remote sensing and GIS application in Water Resources ManagementTushar Dholakia
Remote sensing and GIS application in Water Resources Management- By S.P. Aggarval spa@iirs.gov.in Indian Institute of Remote sensing ISRO, Department of space, Dehradun
IMAGE INTERPRETATION TECHNIQUES of surveyKaran Patel
Image interpretation is the process of examining an aerial photo or digital remote sensing image and manually identifying the features in that image. This method can be highly reliable and a wide variety of features can be identified, such as riparian vegetation type and condition, and anthropogenic features
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTORRaster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
The subsurface occurrence of groundwater may be divided into zones of aeration and saturation. The vertical distribution of groundwater is explained in this module.
A GEO satellite’s distance from earth gives it a large coverage area, almost a fourth of the earth’s surface and also have 24 hour view of a particular area.This will be very helpful to army,navy etc.,These factors make it ideal for satellite broadcast and other multipoint applications.Continuous monitoring is done and also cost effective in long term, risk-less.
Watershed management: Role of Geospatial Technologyamritpaldigra30
Watershed management is the study of the relevant characteristics of a watershed which is done to enhance watershed functions that affect the plant, animal and human or other living communities within the watershed boundary.
This PPT dscribes the Role of Geospatial Technology in Watershed Management
Monitoring water pollution in the River Ganga with innovations in airborne remote sensing and drone technology.
Rajiv Sinha (Indian Institute of Technology Kanpur)
Case studies of surveys involved in Railway Tunnel constructed under sea.Prudhvi Thota
Case Studies of detailed explanation of Hydro graphic survey, R.T.K. GPS, Seismic designing, profile survey etc involved in the construction and Designing aspects of Mammary Railway Tunnel under the sea.
On the processing of aerial LiDAR data for supporting enhancement, interpreta...Beniamino Murgante
On the processing of aerial LiDAR data for supporting enhancement, interpretation and mapping of archaeological features
Rosa Lasaponara - Institute of Methodologies for Environmental Analysis, National Research Council, Italy
Nicola Masini- Archaeological and monumental heritage institute, National Research Council, Italy
DIAGNOSTIC ANALYSIS OF DISTRESSED HYDRAULIC STRUCTURES: CASE STUDIES OF GUJAR...IEI GSC
Presentation on DIAGNOSTIC ANALYSIS OF DISTRESSED HYDRAULIC STRUCTURES: CASE STUDIES OF GUJARAT, INDIA by Er Vivek P Kapadiya, Chief Engineer & Additional Secretary, Government of Gujarat at #33NCCE #IEIGSC
Flexure Behaviour of Ferrocement Strengthened RC beamsIEI GSC
Presentation on Flexure Behaviour of Ferrocement Strengthened RC beams
made by Axay Dhariwal under guidance of Prof Sunil Raiyani, Nirma Institute of Technology at #33NCCE #IEIGSC
MIXTURE DESIGN OF FLY ASH & SLAG BASED ALKALI ACTIVATED CONCRETE FOR PRECAST ...IEI GSC
Presentation on MIXTURE DESIGN OF FLY ASH & SLAG BASED ALKALI ACTIVATED CONCRETE FOR PRECAST CONCRETE
made by Daxesh Patel under guidance of Prof Sonal Thakkar at #33NCCE #IEIGSC
COMPARATIVE STUDY OF OUTRIGGER STRUCTURE WITH DIFFERENT CONFIGURATIONSIEI GSC
Presentation on COMPARATIVE STUDY OF OUTRIGGER STRUCTURE WITH DIFFERENT CONFIGURATIONS made by Nilesh Prajapati under guidance of Ms Pooja Mistry & prepared by Jugal Senghani at #33NCCE #IEIGSC
Laboratory Investigation on the Mechanical Behavior of Concrete Containing St...IEI GSC
Presentation on Laboratory Investigation on the Mechanical Behavior of Concrete Containing Steel Industry Waste made by Damyanti Baghada under supervision of Dr C D Modhera, SVNIT at #33NCCE #IEIGSC
ENHANCEMENT OF SEISMIC PERFORMANCE OF STRUCTURES USING HyFRCIEI GSC
Presentation on ENHANCEMENT OF SEISMIC PERFORMANCE OF STRUCTURES USING HyFRC by Needhi Kotoky Under the supervision of Dr. Anjan Dutta and Dr. Sajal K. Deb Department of Civil EngineeringIndian Institute of Technology Guwahati
Prefabricated construction systems in India- Precast Status and needed ImpetusIEI GSC
Presentation on Prefabricated construction systems in India- Precast Status and needed Impetus by Prof S. K. Singh,Sr. Principal Scientist & Professor, AcSIR, CSIR-Central Building Research Institute, Roorkee at #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC
Evaluation of durability properties of recycled aggregate concrete incorporat...IEI GSC
Presentation on Evaluation of durability properties of recycled aggregate concrete incorporating flyash and silica fume by Parth Patel, Guided by Dr Urmil Dave & Prof Tejas Joshi, Nirma University, Ahmedabad at #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC
Presentation on Precast Infrastructure by Darshit Jhaveri
Head - Technical & Commercial (India), FUJI Silvertech Concrete Pvt. Ltd. Ahmedabad at #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC
Advances in Hydraulic Structures, Rubber Dam-A way forwardIEI GSC
Presentation on Advances in Hydraulic Structures, Rubber Dam-A way forward by Dr I Satyanarayan Raju, Former Chief Engineers, CDO, GOAP at #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC
Effect of Waste Foundry Sand on Durability Properties of ConcreteIEI GSC
Presentation on Effect of Waste Foundry Sand on Durability Properties of Concrete by Tirth Doshi guided by Dr Urmil Dave & Prof Tejas Joshi at #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC
Flexure Behaviour of Ferrocement Strengthened RC beamsIEI GSC
Presentation on Flexure Behaviour of Ferrocement Strengthened RC beams by Akshay Dhariwal & Prof Sunil Raiyani, Institute of Technology, Nirma University, Ahmedabad at #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC
Dr. Jaikrishna Memorial Lecture on Evolution of BridgesIEI GSC
2nd Dr. Jaikrishna Memorial Lecture on Evolution of Bridges by Ashok Basa Past President, The Institution of Engineers (India) delivered during #33NCCE National Convention of Civil Engineers at #IEIGSC
State of the Art lecture/ presentation on Structural Safety in India by Dr Sudhir Jain, Director, IIT Gandhinagar during #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC
GEO TEXTILES FOR DEVELOPMENT OF NORTH EASTERN REGIONIEI GSC
Presentation on GEO TEXTILES FOR DEVELOPMENT OF NORTH EASTERN REGION by Shri P.S.Barbora, In-Charge, NERC, Ahmedabad Textile Industry’s Research Association (ATIRA) Guwahati done at Workshop on Geo Textiles in Civil Engineering Organized at Ahmedabad by #IEIGSC
Use of GeoTextiles in Civil Engineering : Work on NH 150, ManipurIEI GSC
Presentation done by N Noren Singh, Chief Engineer (Buildings), Manipur during One day workshop on GEO TEXTILES IN CIVIL ENGINEERING organized by #IEIGSC in association of iNDEXTb, L D College of Engineering, Ahmedabad & ATIRA
Presentation on Textiles & GeoTextile Composites done by Saurabh Vyas at ATIRA during One day workshop on GEO Presentation done by Sh Saurabh Vyas during the workshop on GEOTEXTILES IN CIVIL ENGINEERING organized by #IEIGSC in association of iNDEXTb, L D College of Engineering, Ahmedabad & ATIRA
Presentation by Er Vivek Kapadia, FIE showing the application of Geo Synthetics in canals done at Workshop on GeoTextiles in Civil engineering organized by #IEIGSC
Presentation: Comparative Evaluation Of Epoxy Treated Reinforcement And Ename...IEI GSC
Presentation on Comparative Evaluation Of Epoxy Treated Reinforcement And Enamel Treated Reinforcement made by Dr PK Parhi, Professor of Civil Engineering, College of Engineering & Technology, Bhubaneswar at #33NCCE 33rd National Convention of Civil Engineers at #IEIGSC , Ahmedabad
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Student information management system project report ii.pdf
Application of Remote Sensing in Civil Engineering
1. REMOTE SENSING
ITS APPLICATIONS IN CIVIL ENGINEERING
Dr. Anjana Vyas, CEPT University, Ahmedabad
anjanavyas@yahoo.com
Lecture delivered at 31st
National Convention of Civil Engineers, Ahmedabad on 20th
September 2015
2.
3.
4.
5. REMOTE SENSINGREMOTE SENSING
Remote Sensing refers to gathering
and processing of information about
earth’s environment and its Natural
& Cultural Resources through Aerial
photography and Satellite scanning.
6. 1903 - The Bavarian Pigeon Corps1903 - The Bavarian Pigeon Corps
15. FOOTPRINTSFOOTPRINTS
Communication Satellites are in GEOSYNCHRONOUS
ORBIT
(Geo = Earth + synchronous = moving at the same rate).
This means that the satellite always stays over one spot on
Earth. The area on earth that it can “SEE” is called the
satellite’s “FOOTPRINT”
16. A Polar Orbit is a particular type of
Low Earth Orbit. The satellite
travels a North – South Direction,
rather than more common East-West
Direction.
19. Latitude
Longitude
15
Orbit Number
1234567891011 121314
SWATH OF ADJACENT PATHSWATH OF ADJACENT PATH
cending ground traces of IRS-1A/1B for one day.
In 24hrs satellite makes 13.9545 revolutions around the earth. The orbit on
the second day (15th orbit) is shifted westward from orbit No.1 by about
130 km. The ground traces repeat after every 307 orbits in 22 days.
20. GREEN BAND WITH BLUE
FILTER
STANDARD FALSE COLOUR
COMPOSITE
GENERATION OF FALSE
COLOUR COMPOSITE
RED BAND WITH GREEN FILTER
IR BAND WITH RED FILTER
22. • Spatial Resolution – The smallest
object that can be discerned
•Spectral Resolution – No. of bands
•Temporal Resolution – Periodicity of
data collection
•Radiometric Resolution – Quantization
levels of data
Resolutions
23. India’s Earth Observation Missions
INSAT-2E
VHRR, CCD (1 km)
1999
INSAT-1D
VHRR
INSAT-2A
VHRR
1992
1990
INSAT-2B
VHRR
1993
KALPANA-1
VHRR
INSAT-3A
VHRR,CCD
2003
2002
Geo stationary
IRS-1A & 1B
LISS-1&2
(72/36m)
1988/91
IRS-1C/1D
LISS-3 (23/70m);
PAN (5.8m);
WiFS (188m)
1995/1997
IRS-P4
OCM
(360m),
MSMR
1999
2001
TES
Step& Stare
PAN (1m)
IRS-P6: Resource Sat
LISS 3 (23m)
LISS 4 (5.8m);
AWiFS (55m)
2003
Sun Synchronous
IRS-P5 PAN-2.5M,
Carto-1, 30 km
2005
Carto-2 PAN-0.8M, 11
km
2007
32. Flood due to cyclone (29th
October 1999)
off Orissa coast
IRS LISS III
Pre-cyclone (11.10.99)
IRS LISS III
Post-cyclone (05.11.99)
RADARSAT
DATA of 2nd NOV
33. • ROCK TYPES
• GEOLOGICAL STRUCTURES (LINEAMENT /FAULT/DYKE)
• VALLEY FILL WITH VEGETATION
• BLACK SOIL COVER
• SALT AFFECTED LAND
WHAT CAN BE SEEN FROM SATELLITE
IMAGES?
34. • HILLY TERRAIN WITH FOREST
• AGRICULTURAL LANDS - DELTA
• RIVER COURSES
• COASTLINE
WHAT CAN BE SEEN FROM SATELLITE
IMAGES?
• MANGROVE FOREST
• WET LANDS
• WATER TURBIDITY
35. 39
Mapping and monitoring mangroves, coastal
wetlands
PP
P
KRISHNA R.
IRS-1B LISS-I
IMAGE, 1992
KRISHNA R.
P = Prawn cultivation
IRS-1C LISS-III
IMAGE, 2000
36. Gap Detection in Mango Orchards
High resolution satellite data 20 February 2000
Shadnagar, Mahbubnagar District, AP
(2.5 m)
Natural Resources Inventory
Farm level information in
Hirakud Irrigation Command Area
High resolution satellite data
(0.60 m)
37. INDIAN IMAGING CAPABILITY
• EVERY 30 MIN.
IMAGING
• 1M+ SCALES
• CLIMATE/WEATHER • EVERY 2 DAYS IMAGING
• 1:250 K SCALES
• OCEAN APPLICATIONS • EVERY 5 DAYS IMAGING
• 1:250 K SCALES
• NATIONAL SURVEYS
38. • EVERY 22 DAYS
IMAGING
• 1:50 K SCALES
• DETAILED RESOURCES
SURVEY • EVERY 5 DAYS
IMAGING
• 1:12500 SCALES
• LARGE SCALE
MAPPING
• STEREO CAPABILITY
• LOCAL AREA IMAGING
• 1:2000 / 4000 / 8000
SCALES
• STEREO CAPABILITY
INDIAN IMAGING CAPABILITY
0.8m
39.
40. Elements of Image Interpretation
•Primary
•Secondary
•Tertiary
• Higher
:
:
:
:
Tone / Colour
Size, Shape & Texture
Pattern, Height & Shadow
Site & Association
56. PANORAMIC VIEWERPANORAMIC VIEWER
Fig. (L) :- Street View on the Golden
Gate Bridge on Google Earth
Fig. (R) :- Cylindrical panoramic image
in ArcSoft Panoramic Viewer
58. An aerial view of a water
logged area in and
around Ahmedabad
Monday, July 04, 2005
59. SrSr
NoNo Name of catchmentName of catchment
Area ofArea of
catchmentcatchment
in Hain Ha
WatershedWatershed
runoffrunoff
(cum/sec)(cum/sec)
Total pipeTotal pipe
carryingcarrying
capacity (usingcapacity (using
Manning’sManning’s
hydraulichydraulic
table)table)
(cum/sec)(cum/sec)
VulnerabiliVulnerabili
tyty
11 Vasna catchment areaVasna catchment area 280280 23.4323.43 16.4716.47 HighHigh
22 Paldi catchment areaPaldi catchment area 238238 18.918.9 12.6612.66 HighHigh
33 Ellisbrige catchment areaEllisbrige catchment area 210210 20.3320.33 14.8914.89 HighHigh
44
Navrangpura catchmentNavrangpura catchment
areaarea 142142 12.1212.12 12.6012.60
LowLow
55
Gandhigram catchmentGandhigram catchment
areaarea 179179 15.1415.14 17.8517.85
MediumMedium
66 Stadium catchment areaStadium catchment area 155155 12.8512.85 11.7511.75 LowLow
77 Naranpura catchment areaNaranpura catchment area 301301 23.7523.75 22.6022.60 MediumMedium
88 New wadaj catchment areaNew wadaj catchment area 425425 21.0921.09 24.9024.90 MediumMedium
99
Near old wadaj catchmentNear old wadaj catchment
areaarea 111111 23.6423.64 22.8022.80
LowLow
1010 Sabarmati catchment areaSabarmati catchment area 286286 22.3922.39 21.8021.80 MediumMedium
FLOOD VULNERABILITY OF CATCHMENTS
60. The maximum height is 57.5
meters and the minimum
height is 42 meters from mean
sea level.
The study area is plain, dry
and sandy. It covers an area
of 3844 Ha.
CONTOUR MAP OF STUDY AREA (AMC)
61. DIGITAL ELEVATION MODEL (AMC)
DEM is a digital representation of a
continuous variable over a two
dimensional surface by a regular
array of ‘Z’ value represented to a
common datum
less than 5 percent slope
62.
63.
64.
65.
66. Rational method has been used for computing surface runs off
Q = CIA/360
Where: Q = maximum rate of runoff (cum/sec)
C = runoff coefficient representing a ratio of runoff to rainfall
I = average rainfall intensity for a duration equal to the tc (mm/hr)
A = drainage area contributing to the design location (ha)
Percentage coefficients of runoff for the Catchments characteristics:
Densely built up area of cities with metalled road—0.80
Residential areas not densely built , with metalled road—0.60
Ditto, with unmetalled roads --- 0.20 – 0.50
Lightly covered --- 0.50
largely cultivated--- 0.30
Suburbs with gardens, lawns and macadamized roads—0.30
Sandy soil, light growth—0.20
CONSTANTS
ESTIMATION OF SURFACE RUNOFF USING
RATIONAL METHOD
67. ESTIMATING STORM WATER DRAINAGE
CARRYING CAPACITY BY MANNING’S METHOD
The Manning Formula is an empirical formula for flow driven by gravity. It was
developed by the Irish engineer Robert Manning.
The available head in the storm water drain is utilized in overcoming internal
resistance.
The Manning Formula given below is commonly used for such design.
The Manning’s Formula states:
V = 1/n (3.968 * 10-3
) D2/3
* S1/2
Q = 1/n (3.118 * 10-6
) D8/3
* S ½
where:
V= velocity in mt per second
Q = Discharge
S = slope of hydraulic gradient (generally slope in SWD)
D = Internal diameter of pipeline in mm
n = Manning’s coefficient of roughness
68. Area of catchments:- 80 Ha
Total Built up Area:- 55 Ha
Runoff Coefficient:- 0.8
Main Storm water drain length in
the catchments area:- 274 mt
Average size of SWD drain:- 600
mm
Storm Water carrying capacity of
existing SWD line:- 2.65 (cum/sec)
Runoff of catchments:- 7.11
(cum/sec)
CATCHMENT NO 1
Runoff = CIA/360
= 80*0.8*40*1/360
= 7.11 cum/sec
69. SOUTH NARANPURA CATCHMENT AREA
L_Section of existing SWD in Naranpura catchment area
0
10
20
30
40
50
60
0
180
363
541
721
911
1091
1274
1454
1754
1924
2104
2664
2848
Chainage in mt.
Ground level
Invert level
North Naranpura
Catchments area
Area of catchments:- 1400Ha
Runoff of catchments:-23.22 (cum/sec)
Main Storm water drain length in the
catchments area:-3100mt
G.L at start point:-60.46mt
G.L at end point:-60.38mt
I.L at start point:-58.48.26mt
I.L at end point:-50.50mt
Average size of SWD drain:-900mm
Storm Water carrying capacity of
existing SWD line:-
22.60(cum/sec)
land use
Area in
hectares
Area
in %
road footpath 206.57 15.16
COMMERCIAL 213.99 15.70
RESIDENTIAL 886.45 65.06
open plot 55.36 4.06
Total 1,362.37
Runoff=886.45*0.8*40*1
/360+213.99*0.85*0.4*1/
360+55.36*0.4*40*1/360
+206.57*0.9*40*1/360=
23.22 cum/sec
70. PALDI CATCHMENT AREA
L_Section of existing SWD in Ellisbrige catchment area
34
36
38
40
42
44
46
48
0
1
2
0
2
4
0
3
6
0
4
9
0
6
1
0
7
4
0
8
6
0
9
9
0
1
1
1
0
1
2
3
0
1
3
8
0
1
5
2
0
1
6
7
0
1
7
9
0
1
8
5
0Chainage in mt.
Ground level
Invert level
Area of catchments:- 168 Ha
Runoff of catchments:-15.03(cum/sec)
Main Storm water drain length in the
catchments area:-1850 mt
G.L at start point:-44.66mt
G.L at end point:-43.87mt
I.L at start point:-43.50mt
I.L at end point:-39.42mt
Average size of SWD drain:-450mm
Storm Water carrying capacity of existing SWD
line:-14.89(cum/sec)
Land Use Area in Ha
Area
in %
Roads 5.0 2.96
Commercial 8.27 4.90
Residential 154.05 91.39
open
plot/Vegetati
on/lake 1.24 0.74
Total 168.56
Total runoff =
154.05*0.80*40*1/360
+ 8.27*0.85*40*1/360 +
5*0.90*40*1/360 +
1.24*0.40*40*1/360 =
15.03 cum/sec
71. The areas of Vishwakunj char rasta, near shantivan pumping
stations, near Kochrab ashram, near jivraj hospital, near
yogeshwarnagar, which include many of the important business
FLOOD VUNERABLE ZONE AMC
79. Vulnerability Total Area (Ha) Total Area (%)
Very Low Vulnerable
Zone
149 4%
Low Vulnerable Zone 422 11%
Moderate Vulnerable
Zone
1112 29%
High Vulnerable Zone 1453 38%
Very High Vulnerable
Zone
707 18%
88. NOAA’s LIDAR Image of Ground Zero of World Trade
Center in New York City
COLOR
Value
(meters)
Value (feet)
Dark Green -9.272 to 0 -30.42 to 0
Green 0 to 30 0 to 98.43
Yellow 30 to 100
98.43 to
328.08
Magenta 100 to 150
328.08 to
492.12
Red
150 to
201.19
492.12 to
764.59
101. Planning Scenario for a Major Earthquake
in Ahmedabad City
Anup Karanth [EP 0101]
M 6
M 6.5
M 7
damage area
Location of buildings in groups where there is possibility of maximum
damage to buildings from the scenario earthquake.
EARTH QUAKE
102. Planning Scenario for a Major Earthquake
in Ahmedabad City
Anup Karanth [EP 0101]
Overlap showing the damage buildings for magnitude M7 with the
existing land use
106. JAN 1999 JAN 2009 JAN 2011
MAY 1999 MAY 2009 MAY 2011
SPATIO-TEMPORAL
ANALYSIS OF LULC
Non builtup
Built up
Vegetation Waterbody AMC Zones
* C – Central, E – East, S – South, N – North, W –
U
R
B
A
N
H
E
A
T
I
S
L
A
N
D
S
107. JAN 1999 JAN 2011
MAY 1999 MAY 2009 MAY 2011
SPATIO-TEMPORAL ANALYSIS OF NDVI
(Normalized Difference Vegetation Index)NDVI: (NIR - RED)/(NIR + RED)
0.2 – 0.4-0.5 – 0.2 0.4 – 0.6 0.6 – 0.75
JAN 2009
Grass land Dense vegetationBarren/rock sand/ScrubBuilt up
108. JAN 1999 JAN 2009 JAN 2011
MAY 1999 MAY 2009 MAY 2011
SPATIO-TEMPORAL ANALYSIS OF LAND
SURFACE TEMPERATURE
109. GRID LEVEL ANALYSIS OF LST WITH LULC DURING JANUARY 1999GRID LEVEL ANALYSIS OF LST WITH LULC DURING JANUARY 1999
AND 2011AND 2011
JAN
1999
JAN
2011
Vegetation
Non built up
Built up
Waterbody
AMC Zones
2 Km Grid
110. •For a comfortable, normally dressed adult, the weighted average
temperature of the bare skin and clothed surfaces is about 80°F
(27°C). Source: Human comfort & Health requirements, Radiation,Pg:10
< 26◦C:
Lower risk
to UHI
impact (8.6
km2
)
26◦C - 28
◦C :
Moderate
risk to UHI
impact
(208.2 km2
)
> 28◦C :
Higher risk
to UHI
impact
(233.2 km2
)
(Considering an
area of 450 km2
)
Weighted Sum Overlay Analysis For LST( 1999,2009, 2011)Weighted Sum Overlay Analysis For LST( 1999,2009, 2011)
Through out the year the amount of vegetation has decrease round the city. The major declination is observed in the from January to May, all over the year.
Also, most of the vegetated cover land gets converted into open bare land in the month of May.
The increase in the concreted area is remarkably observed around the city periphery.
Spatio-Temporal Analysis of LULC:
Overall Increase in builtup area in New west zone, south and east zones from 1999 to 2011 , along with much reduction in percentage of open land, followed by areas under waterbody and vegetation.