Abstract
Groundwater, which is in aquifers below the surface of the Earth, is one of the most important natural resources. Due to the increased population, drought, improper irrigation practices, and pollution, depletion of groundwater takes place more rapidly. With the advent of remote sensing data and Geographical Information Systems (GIS) and integrating SWAT with MODFLOW model, estimation of groundwater recharge became much easier. The HRU’s in the SWAT model are exchanged with MODFLOW cells by using SWAT-MODFLOW interface to simulate the groundwater head distribution and groundwater recharge rates. The study is conducted in Chintalapudi village, which is located in West Godavari district, Andhra Pradesh. To estimate spatiotemporal distribution of groundwater recharge, it requires DEM, LULC map, Soil map, rainfall data, aquifer parameters such as aquifer thickness, hydraulic conductivity, and specific yield. Model results are shown by month and year to determine seasonal and decadal trends in groundwater recharge rates. The SWAT-MODFLOW was calibrated and validated using groundwater levels and streamflow data.
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References
Bailey R, Rathjens H, Bieger K, Chaubey I, Arnold J (2017) SWATMOD-Prep: graphical user interface for preparing coupled SWAT-MODFLOW simulations. J Am Water Resour Assoc 53:400–410
Bailey RT, Wible TC, Arabi M, Records RM, Ditty J (2016) Assessing regional-scale spatio temporal patterns of groundwater–surface water interactions using a coupled SWAT-MODFLOW model. Hydrol Process 30:4420–4433
Chung IM, Kim NW, Lee J, Sophocleous M (2010) Assessing distributed groundwater recharge rate using integrated surface water-groundwater modelling: application to Mihocheon watershed, South Korea. Hydrogeol J 18:1253–1264
Ehtiat M, Mousavi SJ, Srinivasan R (2018) Groundwater modeling under variable operating conditions using SWAT, MODFLOW and MT3DMS: a catchment scale approach to water resources management. Water Resour Manag 1–9
Guzman JA, Moriasi DN, Gowda PH, Steiner JL, Starks PJ, Arnold JG, Srinivasan R (2015) A model integration framework for linking SWAT and MODFLOW. Environ Model Softw 73:103–116
Harbaugh AW, Banta ER, Hill MC, McDonald MG (2000) MODFLOW-2000, the U.S. geological survey modular ground-water model-Users guide to modularization concepts and the ground-water flow process. Open-File Report 00–92. Reston, Virginia: U.S. Geological Survey, 121
Kim NW, Chung IM, Won YS, Arnold JG (2008) Development and application of the integrated SWAT-MODFLOW model. J Hydrol 356:1–16
Acknowledgements
The work presented in this paper is done for Chintalapudi in West Godavari district as a part of the project given by NRSC, Hyderabad. We would like to thank K H V Durga Rao scientist at NRSC and Aman Preet Singh for providing data used in this paper.
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Loukika, K.N., Venkata Reddy, K., Durga Rao, K.H.V., Singh, A. (2020). Estimation of Groundwater Recharge Rate Using SWAT MODFLOW Model. In: Ghosh, J., da Silva, I. (eds) Applications of Geomatics in Civil Engineering. Lecture Notes in Civil Engineering , vol 33. Springer, Singapore. https://doi.org/10.1007/978-981-13-7067-0_10
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DOI: https://doi.org/10.1007/978-981-13-7067-0_10
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