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Nema, A. K.
- Prediction of Water Deficit by Probability Models for Varanasi Region in Uttar Pradesh
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Authors
Yatnesh Bisen
1,
A. K. Nema
2
Affiliations
1 AICRP for Dryland, S.G. College of Agriculture and Research Station, Kumhrawand, Jagdalpur C.G., IN
2 Department of Farm Engineering, Institute of Agriculture Sciences, (B.H.U.) Varanasi U.P., IN
1 AICRP for Dryland, S.G. College of Agriculture and Research Station, Kumhrawand, Jagdalpur C.G., IN
2 Department of Farm Engineering, Institute of Agriculture Sciences, (B.H.U.) Varanasi U.P., IN
Source
International Journal of Agricultural Engineering, Vol 6, No 1 (2013), Pagination: 282–284Abstract
The water deficit of various frequencies is required for irrigation planning in rainfed areas. The value of water deficit is needed for computing the depth of irrigation for supplementary irrigation to rainfed crops during the dry spell periods. Prediction of annual maximum water deficit value for the same return periods were computed by Gumbel, Log normal, and Log Pearson Type -III distributions and also used as normal distribution. The probability distribution with lowest value of chi-square (X2) was selected as the best probability distribution. The statistical comparison by Chi-square test for goodness of fit clearly indicated that Gumbel distribution was the best probability model for predicting weekly maximum water deficit for Varanasi region.Keywords
Water Balance, Probability Models, Water Deficit
- Developing a Management Plan for Loktak Lake Considering Keibul Lamjao National Park and Hydropower Demand using a Data Driven Modeling Approach
Abstract Views :244 |
PDF Views:63
Authors
Affiliations
1 Department of Civil Engineering, Indian Institute of Technology, Delhi 110 016, IN
1 Department of Civil Engineering, Indian Institute of Technology, Delhi 110 016, IN
Source
Current Science, Vol 115, No 9 (2018), Pagination: 1793-1798Abstract
Monthly water balance of Loktak Lake has been developed using catchment discharge obtained from a combination of hydrological models, MIKE SHE and SWAT, abbreviated as hybrid SHE-SWAT. A management plan has been proposed considering the variation of lake water level without compromising hydropower generation. The management plan aims to restore ecological balance of Keibul Lamjao National Park prioritizing Sangai deer. This will also prevent inundation of surrounding area without compromising hydropower generation.Keywords
Hybrid SHE-SWAT, Sangai Deer, Water Balance Model.Full Text
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