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Saravanan, S.
- A Design of Fuzzy Inference System (FIS) for Prediction of Water Quality Modeling
Abstract Views :300 |
PDF Views:161
Authors
A. Selvaraj
1,
S. Saravanan
1
Affiliations
1 Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu, IN
1 Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu, IN
Source
International Journal of Earth Sciences and Engineering, Vol 9, No 6 (2016), Pagination: 2677-2682Abstract
Ground water is one of the most important natural resources for drinking water to human being in modern world, especially in rural area the supply of treated water is not available.Water quality is important factor in modern times that affects socio-economic development inappropriately and affecting human health. Water quality index (WQI) are the method widely for modelling water quality status. How ever make use of these indexes is limited by some constraints such as crisis in data base and uncertainty of decision making. In this study, the fuzzy water quality index (FWQI) were developed based on mamdani fuzzy infernce system inorder to made suitable model for assessing the drinking water quality on basics of 6 parameter physico chemical parameters. The present study thirty ground water samples were collected from the Perambalur district focus to select the fuzzy aggregation approach for estimation of the water quality index of a sample to check the suitability for drinking purpose. In this study 6 parameter pH, total hardness, total dissolved solids, Calcium and Manganese were selected for quality assessment. the output results of proposed methodology were compared with output obtained from deterministic method for the suitability of the design methodology.Keywords
Water Quality Index (WQI), Fuzzy Aggregation, Who Standard, Fuzzy Water Quality Index (FWQI).- Modeling of Rainfall-Runoff Response of the Manimuktha Catchment Using TOPMODEL
Abstract Views :133 |
PDF Views:100
Authors
Affiliations
1 Department of Civil Engineering, National Institute of Technology, Trichy, IN
1 Department of Civil Engineering, National Institute of Technology, Trichy, IN
Source
International Journal of Earth Sciences and Engineering, Vol 9, No 6 (2016), Pagination: 2716-2723Abstract
The semi-distributed topographic based rainfall-runoff model (TOPMODEL) has been applied to the Manimuktha watershed sub-catchment of Vellar River;one of the important catchment which contributes lot of flow in the rainy seasons. Remote Sensing was applied to estimate spatially distributed catchment parameters such as landuse, soil DEM and catchment parameters. SRTM 90m DEM was used to compute the topographic index, the basement and basic input for the TOPMODEL to simulate the stream flow of the sub-catchment. TOPMODEL calculates the actual evapotranspiration from the potential evapotranspiration, the ischolar_main zone storage deficit and maximum ischolar_main zone storage deficit for its water balance calculation. The first step in applying TOPMODEL to a watershed involves GIS analysis which results in a raster grid of elevations used for the calculation of the topographic index. Analyses were also performed to determine the sensitivity of TOPMODEL hydrographs to several model parameters. A sensitivity analysis of the model indicated significant changes in the simulation result for the three parameters that are the exponential transmissivity function (m), the soil transmissivity at saturation (To) and the ischolar_main zone available water capacity (SRmax). The hydrographs generated for six storm events and the results are satisfactory with Nash efficiency as much as 78.8% in and Correlation Coefficient 0.69.Keywords
TOPMODEL, Rainfall-Runoff Modeling, Topographic Index, DEM, Manimuktha Watershed.- Effects of Treated Wastewater Irrigation on Soil Properties-A Case Study at NIT Trichy
Abstract Views :138 |
PDF Views:169
Authors
Affiliations
1 Department of Civil Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, IN
1 Department of Civil Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, IN