Develop To Model Assess Of River Basins In Tamilnadu

ABSTRACT A river basin is the land that water flows across or under on its way to a river. Just as a bathtub catches all of the water that falls within its sides, a river basin sends all of the water falling within it to a central river and out to an estuary or to the ocean. The management of river water quality is a major environmental challenge. Monitoring different sources of pollutant load contribution to the river basin is quite a difficult, laborious and expensive process which sometimes leads to analytical errors also. The main objective of the present study is to develop a model to assess. Large river basins are made up of many smaller watersheds. Everyone lives in a river basin. It is part of your ecological address. You can change what happens in your river basin, for good or bad, by how you treat the natural resources ? the soil, water, air, plants and animals. As water moves downstream, it carries and leaves behind gravel, sand, and silt. It was observed that the basin water had more amount of Hardness that resulted in large number of people suffering from health problems related to the kidney. Due to the correlations and interactions among water quality parameters; it is interesting to investigate whether a domain specific mechanism governing observed patterns exists to prove the predictability of the water quality variables like Hardness, TDS, and Cl. A new approach, viz. the use of ANN and GIS based analysis has been developed in this study to predict the concentrations of Hardness, TDS and Cl. It also carries bacteria and chemicals. Whatever happens to the surface water and groundwater upstream will eventually have an effect downstream. Even if you don’t live near a river, you still have an effect on your river basin. The Study area of research work is Cauvery River Basin in Tamilnadu, India. The monthly water quality parameters are collected and analyzed from five selected gauging stations of Tamilnadu during the months of January to December from 2003 to 2012. The cations such as Ca, Mg, Na, K and anions like HCO3, CO3, Cl, SO4 and NO3 were analysed in the laboratory. General statistical analyses of the bio-physico and chemical parameters of the basin’s surface water quality have been carried out to find the interrelationships among them, which constitute the first phase of the present study. By this study it is found that a strong correlation exists between SO4 and COD. This technique is particularly suitable for problems that involve the manipulation of multiple parameters, nonlinear interpolation and significance that is not easily amenable to conventional, theoretical and mathematical approaches. The physic-chemical parameters such as pH, DO, TDS, NO3, BOD, COD, Total Alkalinity, Total hardness, Ca, Mg, Cl, SO4 and F of the basin have been taken into account for deciding the quality characteristics of the basin.