scholarly journals Surface Water Quality Assessment, Prediction & Modelling of River Daya in Odisha

Author(s):  
Pramod Jena ◽  
*Sayed Modinur Rahaman ◽  
Pradeep Kumar DasMohapatra ◽  
Durga Prasad Barik ◽  
Dikshya Surabhi Patra

Abstract A decision tree -based approach is projected to predict surface water quality and is a good tool to assess quality and guarantee property safe use of water for drinking. The most objective of this study is to assess the surface water quality of the Daya watercourse to work out the quality of drinking functions. Samples were collected from designated locations throughout totally different seasons (winter, summer, rainy) over a amount of five years (2016, 2017, 2018, 2019, and 2020). Total dissolved solids, pH, alkalinity, chloride, nitrate, total hardness, calcium, magnesium, iron, fluoride, were all tested as well as total coliform, fecal coliform, and E. coli. The main goal is to use decision tree regression to construct a model to assess and predict water quality changes in the Daya geographic region of Odisha, India, and compare it to statistical methods.

2014 ◽  
Vol 955-959 ◽  
pp. 1514-1526
Author(s):  
Lian Fang Li ◽  
Xi Bai Zeng ◽  
Guo Xue Li ◽  
Xu Rong Mei

The quality of surface water is a matter of serious concern nowadays. The surface water quality in a region is mainly determined both by the natural processes (precipitation rate, weathering processes, soil erosion) and the anthropogenic influences including urban, industrial and agricultural activities and increasing exploitation of water resources [1-. Since surface water in an area is often used for drinking, industrial, agriculture, recreation or other purposes. It is necessary to assess the water quality correctly to afford timely information to the public for satisfying peoples needs of production and daily life.


Author(s):  

The article is devoted to the analysis of the quality of surface water in Uzbekistan. Analyzed their impact on the living conditions and health of the population of the republic. The most difficult situation with drinking water supply and with the growth of diseases caused by the use of poor-quality drinking water falls on the Navoi, Khorezm, Surkhandarya regions and Karakalpakstan. The stated data makes it relevant to conduct research to determine the quality of surface waters and improve the methods of its assessment. The analysis of existing methods for assessing the quality of surface waters. The technique of assessment of the index of pollution of water applied now in Uzbekistan counted in compliance with “Methodical recommendations about the formalized complex evaluation test of the surface and ocean waters about hydro/chemical indexes” was developed in Soviet period and doesn’t meet the modern requirements. The need to improve the methods for assessing the quality of surface waters as compared with that currently used in Uzhydromet is indicated. One of the most promising at present is the “Method of integrated assessment of the degree of contamination of surface waters by hydro/chemical indicators” developed and used in operational practice in Russia. The most informative comprehensive estimat water pollution and the class of water quality. The author proposed methods for assessing the quality of surface waters, the calculation of which is based on the use of a larger amount of initial information and are more reliable than those used. In particular, the proposed methodology for assessing the quality of surface waters, taking into account the hazard class of ingredients.


2020 ◽  
Vol 12 (1) ◽  
pp. 7-16
Author(s):  
Thanh Giao NGUYEN

The study aimed to evaluate water quality at Bung Binh Thien Lake, An Giang Province, Vietnam using Shannon-Wiener species diversity index (H’) and associated average score per taxon (ASPT) calculated from composition of phytoplankton and zoobenthos. The water quality index (WQI) was used as the reference for the quality of surface water. The samples of surface water quality, phytoplankton, and zoobenthos were simultaneously collected at 11 sites in the dry season. The results showed that WQI (57-88) classified water quality from good to medium, H’ calculated using phytoplankton species (1.12-2.71) presented water quality from medium to bad whereas, (H'z) calculated (0 to 2.07) and ASPT (2-4.21) calculated from zoobenthos species divided water quality from bad to very bad. The findings revealed that assessing water quality should not totally only relied on diversity indices (H’, ASPT) but also carefully consider compositions of phytoplankton and zooplankton. In addition, interpretation of the biodiversity indices for water quality examination should involve the experts in the relevant fields. Nghiên cứu nhằm đánh giá chất lượng nước tại hồ Bung Binh Thiên, tỉnh An Giang, Việt Nam sử dụng chỉ số đa dạng loài Shannon-Wiener (H’) và chỉ số tính điểm trung bình bình theo họ (ASPT) được tính từ thành phần của phiêu sinh thực vật và động vật đáy. Chỉ số chất lượng nước (WQI) được sử dụng tham chiếu cho chất lượng nước mặt. Các mẫu chất lượng nước mặt, phiêu sinh thực vật thực vật và động vật đáy được thu đồng thời tại 11 địa điểm trong mùa khô. Kết quả cho thấy WQI (57-88) phân loại chất lượng nước từ tốt đến trung bình, H’p được tính dựa vào các loài phiêu sinh thực vật (1.12-2.71) thể hiện chất lượng nước từ trung bình đến xấu trong khi, H’z (0- 2.07 ) và ASPT (2-4,21) được tính toán từ các loài động vật đáy phân loại chất lượng nước từ xấu đến rất xấu Kết quả nghiên cứu cho thấy đánh giá chất lượng nước không chỉ hoàn toàn dựa vào các chỉ số đa dạng (H’, ASPT) mà còn xem xét cẩn thận thành phần loài của phiêu sinh thực vật và động vật đáy. Ngoài ra, việc giải thích các chỉ số đa dạng sinh học nhằm tra chất lượng nước cần có sự tham gia của các chuyên gia trong các lĩnh vực liên quan.


2020 ◽  
Vol 1 (36) ◽  
pp. 39-50
Author(s):  
Giao Thanh Nguyen

The study aimed to evaluate water quality at Bung Binh Thien Reservoir, in An Giang Province, Viet Nam using Shannon-Wiener species diversity index (H’) and associated average score per taxon (ASPT) calculated from composition of phytoplankton and zoobenthos. The water quality index (WQI) was used as the reference forthe quality of surface water. The samples of surface water quality, phytoplankton, and zoobenthos were simultaneously collected at 11 sites during the dry season. The results showed that WQI (57-88) classified waterquality from good to medium, H’ calculated using phytoplankton species (1.12-2.71) presented water quality from medium to bad where as, H’z calculated (0 to 2.07) and ASPT (2-4.21) calculated from zoobenthos species divided water quality from bad to very bad. The findings revealed that assessing water quality should not totally rely on diversity indices (H’, ASPT), but compositions of phytoplankton and zooplankton should also be taken into consideration.


2020 ◽  
pp. 228-235
Author(s):  
Santhosh Kumar T. M1 ◽  
K. L Prakash

A need of water quality assessment of the rivers before enters into the human induced habitations play a vital role in maintenance of ecological balance. The surface water samples were randomly collected from the Tunga and Bhadra reservoirs situated in the downstream catchments of Western Ghats with semi-evergreen and mixed deciduous forests during January 2018 to December 2019. The samples were analyzed as per the Standard Methods prescribed for drinking water analysis. Increased trend of pH in Pre-monsoon and decreased trend in post monsoon season was observed and the mean concentrations of pH was ranged between 7.30 and 8.02. Electrical Conductivity values were found to be <143µS/cm and indicated that the water is suitable for irrigation and drinking purposes. The Total Dissolved Solids and Total Hardness values were indicated as soft water as values are <75 mg/L. A significant relation was noticed between Dissolved Oxygen (DO) and Biochemical Oxygen Demand during Post monsoon season. Whereas, no relationship was existing with water quality parameters in Tunga River and Bhadra reservoirs during monsoon (2019) wherein highest floods were received in this season. An insignificant pollution load was observed as the water flows through forest areas and no relationship exists between past mining activities in the Bhadra river catchment, sedimentation of reservoir and water quality. However, it is suggested to control of alterations in land use / land cover, use of fertilizer and pesticides, mono culture plantations and developmental activities to maintain the water quality in the study area to meet the domestic demands in the downstream.


2013 ◽  
Vol 2 (1) ◽  
pp. 202-223 ◽  
Author(s):  
Hiren B Soni ◽  
Sheju Thomas

The present paper highlights the preliminary investigation of physico-chemical characteristics of tropical pilgrimage wetland viz. Dakor Sacred Wetland (DSW), Anand District, Central Gujarat, India. As the existing water body is contaminated with domestic sewage influenced by anthropogenic interventions, an urgent need was felt to evaluate physico-chemical parameters such as Temperature, pH, Dissolved Oxygen (DO), Total Solids (TS), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Free CO2, Phenolphthalein Alkalinity (PA), Total Alkalinity (TA), Carbonates, Bicarbonates, Total Hardness, Calcium Hardness, Magnesium Hardness, Chloride, Salinity, Sulphate, Phosphate, Nitrate, Sodium, and Potassium. The obtained data were correlated statistically to draw a conclusion about the surface water quality of tropical pilgrimage wetland. Moreover, the results manifested the need and prime necessity to restore the physical, chemical and biological integrity with viable and rigorous restoration and management strategies in order to maintain, preserve, conserve and to avert the ecological imbalance and disturbance in hydro-geo-chemical and hydro-biological cycles, which adversely affect the food chain and food web of the significant pond ecosystem. International Journal of Environment, Volume-2, Issue-1, Sep-Nov 2013, Pages 202-223 DOI: http://dx.doi.org/10.3126/ije.v2i1.9222


2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  

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