Physical and chemical analysis of water samples in the Salt Creek Watershed. The project involved analysis of water samples from 31 different sites in the Salt Creek Watershed over a 3 month period to help determine the impact cover crops, stream embankment restoration, and exclusion fencing work had on overall water quality of the watershed.
Presented by IWMI's Nishadi Eriyagama at training event on the concept and application of maintaining Environmental Flows (EFlows) organized by IWMI in Kathmanu Nepal, on September 29, 2015.
Classification either on quality or type based for groundwater can offer great advantages especially in regional groundwater management. It provides a short, quick processing, interpretation for a lot of complete hydro-chemical data sets and concise presentation of the results. There is a demonstrable need for a quality assurance, with the advanced usage of world's largest fresh water storage i.e Ground water. Its getting depleted over the years and the quality of the same degrading with a rapid pace. Ground water Quality is assessed mainly by the chemical analysis of samples. The data obtained from the chemical analysis is key for the further classification, analysis, correlation etc. Graphical and Numerical interpretation of the data is the main source for Hydro-chemical studies. In this paper we test the performance of the many available graphical and statistical methodologies used to classify water samples including: Collins bar diagram, Stiff pattern diagram, Schoeller plot, Piper diagram, Durov's Double Triangular Diagram, Gibbs's Diagram, Stuyfzand Classification. This paper explains various models which classify, correlate etc., summarizing the water quality data. The basic graphs and diagrams in each category are explained by sample diagrams. In addition to the diagrams an overall characterization of hydro-chemical facies of the water can be carried out by using plots which represents a water type and hardness domain. The combination of graphical and statistical techniques provides a consistent and objective means to classify large numbers of samples while retaining the ease of classic graphical presentation.
A presentation about managing nitrogen from cranberry bogs in the Buzzards Bay watershed, Massachusetts. Presented by Rachel Jakuba, Science Director for the Buzzards Bay Coalition, during the Buzzards Bay Coalition's 2013 Decision Makers Workshop series. Learn more at www.savebuzzardsbay.org/DecisionMakers
Physical and chemical analysis of water samples in the Salt Creek Watershed. The project involved analysis of water samples from 31 different sites in the Salt Creek Watershed over a 3 month period to help determine the impact cover crops, stream embankment restoration, and exclusion fencing work had on overall water quality of the watershed.
Presented by IWMI's Nishadi Eriyagama at training event on the concept and application of maintaining Environmental Flows (EFlows) organized by IWMI in Kathmanu Nepal, on September 29, 2015.
Classification either on quality or type based for groundwater can offer great advantages especially in regional groundwater management. It provides a short, quick processing, interpretation for a lot of complete hydro-chemical data sets and concise presentation of the results. There is a demonstrable need for a quality assurance, with the advanced usage of world's largest fresh water storage i.e Ground water. Its getting depleted over the years and the quality of the same degrading with a rapid pace. Ground water Quality is assessed mainly by the chemical analysis of samples. The data obtained from the chemical analysis is key for the further classification, analysis, correlation etc. Graphical and Numerical interpretation of the data is the main source for Hydro-chemical studies. In this paper we test the performance of the many available graphical and statistical methodologies used to classify water samples including: Collins bar diagram, Stiff pattern diagram, Schoeller plot, Piper diagram, Durov's Double Triangular Diagram, Gibbs's Diagram, Stuyfzand Classification. This paper explains various models which classify, correlate etc., summarizing the water quality data. The basic graphs and diagrams in each category are explained by sample diagrams. In addition to the diagrams an overall characterization of hydro-chemical facies of the water can be carried out by using plots which represents a water type and hardness domain. The combination of graphical and statistical techniques provides a consistent and objective means to classify large numbers of samples while retaining the ease of classic graphical presentation.
A presentation about managing nitrogen from cranberry bogs in the Buzzards Bay watershed, Massachusetts. Presented by Rachel Jakuba, Science Director for the Buzzards Bay Coalition, during the Buzzards Bay Coalition's 2013 Decision Makers Workshop series. Learn more at www.savebuzzardsbay.org/DecisionMakers
Duke University Study: Connection Between Marcellus Shale Drilling and Stray ...Marcellus Drilling News
A Duke University study published in the Proceedings of the National Academy of Sciences titled, "Increased stray gas abundance in a subset of drinking water wells near Marcellus shale gas extraction". The study supposedly shows a connection between natural gas drilling and stray gas (mostly methane) in nearby water wells. This is the second time Duke has published such a study. The study from 2011 was criticized for funding by the anti-drilling Park Foundation and for its weak research methodology. This second study has also come under fire for some of the same weaknesses.
The objective of this study is to assess the hydrography in the lentic and lotic ecosystems. According to this study, the Water Quality Index of lentic ecosystem is highest in the Kukkarahalli lake (106.32), followed by Karanji lake (97.42), Varuna lake (95.73) and lowest in the Kamana lake (94.62). The Water Quality Index of lotic ecosystem (Kavery river) is highest in the Sangama (99.33), followed by Snanghat (96.40), Chandravana (93.05) and lowest in the Paschimavahini (90.48). So, the Water Quality Index of lentic ecosystem is higher than the loticecosystem in general. This indicates that, the water quality of standing water is deteriorated more than the running water
Duke University Study: Connection Between Marcellus Shale Drilling and Stray ...Marcellus Drilling News
A Duke University study published in the Proceedings of the National Academy of Sciences titled, "Increased stray gas abundance in a subset of drinking water wells near Marcellus shale gas extraction". The study supposedly shows a connection between natural gas drilling and stray gas (mostly methane) in nearby water wells. This is the second time Duke has published such a study. The study from 2011 was criticized for funding by the anti-drilling Park Foundation and for its weak research methodology. This second study has also come under fire for some of the same weaknesses.
The objective of this study is to assess the hydrography in the lentic and lotic ecosystems. According to this study, the Water Quality Index of lentic ecosystem is highest in the Kukkarahalli lake (106.32), followed by Karanji lake (97.42), Varuna lake (95.73) and lowest in the Kamana lake (94.62). The Water Quality Index of lotic ecosystem (Kavery river) is highest in the Sangama (99.33), followed by Snanghat (96.40), Chandravana (93.05) and lowest in the Paschimavahini (90.48). So, the Water Quality Index of lentic ecosystem is higher than the loticecosystem in general. This indicates that, the water quality of standing water is deteriorated more than the running water
Assessment of Physicochemical parameters and Water Quality Index of Vishwamit...IJEAB
Development and industrialisation exert pressure on the riverine system deteriorating the serenity of the rivers. The present study was carried out in Small River flowing through Vadodara city viz., Vishwamitri River. The study revealed better water quality before its entry into the urban area. Despite of presence of STPs, there is poor water quality affecting the aquatic life and ecology. The paper throws light on pollution aspect and need to develop decentralised treatment system to tackle the river pollution problem.
Irrigation Water Quality Assessment for Water Resources used in Irrigation of...Agriculture Journal IJOEAR
This study was conducted for irrigation water quality assessment of water resources used in irrigation of agricultural fields in Mezitli town of Mersin province. Water samples were taken from 20 sampling points of surface water resources used for irrigations in irrigated farming lands of Mezitli town in 4 sampling periods (July-October). Samples were analyzed for pH, EC, water-soluble cations (Ca, Mg, Na, K) and anions (CO 3, HCO 3, Cl and SO 4), boron, %Na, SAR and RSC. Sample pH values varied between 7,05-8,26 and EC values varied between 292-1103 µmhos/cm. According to US Salinity Lab Classification System, irrigation waters were classified as C 2 S 1 and C 3 S 1 (moderately and highly saline waters). Boron concentrations of all samples were below the threshold value of 0,67 ppm. Significant differences were not observed in water quality parameters throughout the irrigation season.
Biophysical Characteristics and the Anthropogenic Activities in San Roque Riv...YogeshIJTSRD
River provides essential various ecosystem goods and services that are essential for living organisms’ survival. As such, its quality must be maintained to ensure the healthy condition of the environment as well as the safety of the community. The study aimed to assess the biophysical characteristics and the anthropogenic activities in San Roque River, Northern Samar. It employed descriptive research combined with laboratory analysis and SPSS was employed to treat and analyze the data.The study revealed that the physico chemical characteristics of the water in San Roque River in terms of temperature, pH, TSS, TDS, and turbidity were within the DENR standards. However, the water of the river was highly contaminated with total coli forms and fecal coli forms. Likewise, the salinity was beyond from the standard that made the water of the river salty. T test revealed that the characteristics of water during high and low tides showed no significant differences. On the contrary. It has shown significant difference on water parameters in terms of temperature, pH, TSS, TDS, BOD, and DO between high tide and the standards. Likewise, pH, TSS, BOD, and DO have shown significant difference on low tide with the standards. It also revealed that there were anthropogenic activities and practices of the community living along the river that directly affect the water quality and condition of the river. Moreover, this also concludes that there were no significant relationships on the characteristics of the water and the anthropogenic activities. Lastly, the San Roque River was classified as Class D river at the time of the conduct of the study. This concludes that the river needed rehabilitation so that the potential uses of the river would be maximized which would redound to better benefits of the community. Elvin L. Jarito | Gerald T. Malabarbas "Biophysical Characteristics and the Anthropogenic Activities in San Roque River, Northern Samar" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38775.pdf Paper URL: https://www.ijtsrd.com/management/other/38775/biophysical-characteristics-and-the-anthropogenic-activities-in-san-roque-river-northern-samar/elvin-l-jarito
Correlation Study For the Assessment of Water Quality and Its Parameters of G...IOSR Journals
In the present work water samples are collected from six different Ghats of Ganga river in Kanpur city from March 2010 to February 2011 on monthly basis and water quality assessment is carried out. Pearson’s correlation coefficient (r) value is determined using correlation matrix to identify the highly correlated and interrelated water quality parameters. To test the significance of the pair of parameters p-value is carried out and in order to test the joint effects of several independent variables, without frequent or repeated monitoring of water quality in a location. Higher concentration of Chromium (6.7 mg/l) at Siddhnath ghat in June, and its monthly variation showed highly adverse effect on river Ganga due to tanneries effluent. It is found that significant positive correlation holds for Temp vs BOD GH1 (r= 0.99, p<0.01),><0.01),><0.01);><0.01),><0.01),><0.01).><0.01),><0.01),><0.01). Chromium is found that non significant correlation. The mean values of all the measured physico-chemical parameters of Ganga river water are within the highest desirable limit set by WHO except BOD.
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Correlation Study For the Assessment of Water Quality and Its Parameters of G...
Varduhi surmalyan phd thesis summary
1. SURMALYAN VARDUHI
RIVER WATER QUALITY FOR SOUTHWESTERN PART OF LAKE SEVAN
PHD THESIS SUMMARY
Assessment and analysis of water quality in rivers falling into the Lake Sevan, a summary
of the factors affecting the water quality, control and efficient management is an actual
problem. In RA determination of background concentrations for each of the rivers and creation
of a new classification system based on their own background concentrations is an urgent
problem.
The aim of thesis is evaluation and classification of Dzknaget, Gavaraget, Shogvak,
Tsakkar, Lichq, and Argichi rivers water quality with Canadian, Malaysian, Oregon, Combinator
indices, definition pollutants group and water quality factors affecting. For the rivers Dzknaget,
Gavaraget, Shogvak, Tsakqar, Lichq, Argichi acceptance of water quality norms considering the
norms intended for Gavaraget and the acting ones. Separation of natural and anthropogenic
changes affecting water quality in rivers with different sources.
Developed a new classification system for water quality assessment Gavaraget based on
background concentrations of water-quality Gavaraget. The quality of water is estimated by
new classification system based on the power supply and the similarity of the hydrochemical
composition: The rivers of Lichq, Tsakqar, Gavaraget-Gavaraget norms and Shogvak, Argichi
Argichi-norms. For index calculation and classification instead of the acting newly developed
rules for the studied river water quality standards was used and on the bases of that standards
groups of polluters were defined. The natural and anthropogenic pollution of water quality
changes was divided according to the hydrological season.
For the assessment and classification of water quality of the south-western part Lake Sevan
basin rivers it was proposed to group rivers into three groups, for each them fix their norms.
To obtain data of high precision and determination of background concentration the
necessary sampling frequency was estimated. For the parameters differing with seasonality for
different hydrological seasons the new water quality standards developed.
The higher contamination was observed in the river Gavaraget in 2005-2010. The livestock
and domestic sewage had the major share of pollution causing factors In terms of recreational
water uses the highest water quality was observed in the river Dzknaget, in terms of
irrigational-in the river Tsakqar. The Tsakqar, Argichi river’s water applicable for with low
requirements water quality uses. Gavaraget water quality is only suitable for with no
requirements water quality uses, such as energy production. With new classification system
based on background concentrations was given a tougher water quality classification. It was
separated groups of indicators with similar behavior: with underground origin (V, Se), with
surface and underground origin (Fe, Ti, B, Na, Cl-), polluting the environment (Cu, Sb, Cr, N, P,
BOD5). It was shown that there is a direct link between parameter’s concentration values and
Dzknaget river flows in case Al, Cu, Mn, V, Cr, Se, Sb, Ti, Argichi-Al, Gavaraget-Cu, Mn, V,
Cr, Ti, for the river Argichi there is a reverse link in case of Na, K parameters.
2. Accurate assessment of pollution with seasonality showing parameters should be conducted with
seasonal background concentrations, for which calculation monthly sampling is necessary.
It was recommended in the studed rivers increase the frequency of sampling at least once
a month. For parameters with seasonality determine seasonal background concentrations based
on it define and use seasonal norms.
For the rest of the rivers flowing into the Lake Sevan take samples at the source, for each
develope and implemente new standards and classification systems.
Reference
1.
V. Surmalyan, S. Minasyan, G. Pirumyan, “Climate Change Impact on the Gavaraget, Dzknaget, Draxtik, Argichi,
Shogvak, Tsakqar, Lichq River’s Water Quality in the Republic of Armenia”, “Advances in Mass Spectrometry For
Petrochemistry, Environmental and Food Chemistry - 2011” XIV National Scientific Conference materials, TIPS RAS,
part 1, Moscow, 14-15.11.2011. p162.
2.
http://eaa.academy.am/pdf/2012-V9-N3.pdf