Development and test of SWAT for modeling hydrological processes in irrigation districts with paddy rice

Summary The water movement in irrigation districts, especially for paddy rice cultivation, is characterized by complicated factors. Soil and Water Assessment Tool (SWAT) is a popular tool for understanding the hydro-agronomic processes. However, it fails to simulate the hydrological processes and crop yields in paddy rice areas. In this study, we develop the SWAT model by incorporating new processes for irrigation and drainage. The evapotranspiration process in paddy fields is simulated on the basis of water storage conditions, and a controlling irrigation scheme is introduced to manage the irrigation and drainage operations. The irrigation function of local water storages, such as ponds and reservoirs, is extended for these storages in order to provide water in a timely manner to paddy fields. Moreover, an agronomic model is incorporated to estimate crop yields when available data sets are not satisfactory. The model is tested in Zhanghe Irrigation District, China. The simulated runoff matches well to the measurements and the results indicate the developed model is preferable to the original edition of SWAT. The estimate of the paddy rice yield is acceptable and the dynamics of water balance components approximately characterize the state of water movements in paddy fields. Therefore, the developed framework for SWAT is practical and capable of representing the hydrological processes in this irrigation district. Further work is still needed to more broadly test the model in areas with paddy rice cultivation.

[1]  J. Arnold,et al.  EVALUATION OF THE SWAT MODEL ON A COASTAL PLAIN AGRICULTURAL WATERSHED , 2004 .

[2]  Muddu Sekhar,et al.  Estimating groundwater recharge using land use and soil data: A case study in South India , 2006 .

[3]  Shahbaz Mushtaq,et al.  An assessment of collective action for pond management in Zhanghe Irrigation System (ZIS), China , 2007 .

[4]  J. A. Tolk,et al.  Field water supply:yield relationships of grain sorghum grown in three USA Southern Great Plains soils , 2008 .

[5]  W. O. Pruitt,et al.  Irrigating corn and grain sorghum with a deficient water supply , 1975 .

[6]  Marvin E. Jensen,et al.  Water consumption by agricultural plants , 1968 .

[7]  J. Cavero,et al.  Simulating the effects of extreme dry and wet years on the water use of flooding-irrigated maize in a Mediterranean landplane , 2006 .

[8]  Misgana K. Muleta,et al.  Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model , 2005 .

[9]  Gilbert T. Bernhardt,et al.  A comprehensive surface-groundwater flow model , 1993 .

[10]  J. Monteith Climate and the efficiency of crop production in Britain , 1977 .

[11]  Moon Seong Kang,et al.  Applying SWAT for TMDL programs to a small watershed containing rice paddy fields , 2006 .

[12]  A. Utset,et al.  Calibrating and validating an agrohydrological model to simulate sugarbeet water use under mediterranean conditions , 2007 .

[13]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[14]  Jeffrey G. Arnold,et al.  The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions , 2007 .

[15]  J. Arnold,et al.  Development and application of the integrated SWAT–MODFLOW model , 2008 .

[16]  Santanu Kumar Behera,et al.  Evaluation of management alternatives for an agricultural watershed in a sub-humid subtropical region using a physical process based model , 2006 .

[17]  C. Demetriou,et al.  Evaluating sustainable groundwater management options using the MIKE SHE integrated hydrogeological modelling package , 1998, Environ. Model. Softw..

[18]  Marios Sophocleous,et al.  Methodology and application of combined watershed and ground-water models in Kansas , 2000 .

[19]  Baanda A. Salim,et al.  Evaluation of selected crop water production functions for an irrigated maize crop , 2007 .

[20]  H. S. Mishra,et al.  Effect of intermittent irrigation on groundwater table contribution, irrigation requirement and yield of rice in mollisols of the Tarai Region. , 1990 .

[21]  Anju Gaur,et al.  Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment , 2008 .

[22]  Ranvir Singh,et al.  Distributed ecohydrological modelling to evaluate the performance of irrigation system in Sirsa district, India: I. Current water management and its productivity , 2006 .

[23]  M. Sophocleous Groundwater recharge and sustainability in the High Plains aquifer in Kansas, USA , 2005 .

[24]  Qian Hong,et al.  Parameter uncertainty analysis of the non-point source pollution in the Daning River watershed of the Three Gorges Reservoir Region, China. , 2008, The Science of the total environment.

[25]  Jeffrey G. Arnold,et al.  Advances in ecohydrological modelling with SWAT—a review , 2008 .

[26]  C. Jayatilaka,et al.  Simulation of water flow on irrigation bay scale with MIKE-SHE , 1998 .

[27]  J. Refsgaard,et al.  Hydrological modelling of a small watershed using MIKE SHE for irrigation planning , 1999 .

[28]  Eiji Yamaji,et al.  Rice crop growth and yield as influenced by changes in ponding water depth, water regime and fertigation level , 1998 .

[29]  R. Srinivasan,et al.  A global sensitivity analysis tool for the parameters of multi-variable catchment models , 2006 .

[30]  N. K. Tyagi,et al.  On-farm water management in saline groundwater area under scarce canal water supply condition in the Northwest India , 2008 .

[31]  Shahbaz Mushtaq,et al.  Economic evaluation of small multi-purpose ponds in the Zhanghe irrigation system, China , 2007 .

[32]  Zhifang Yin,et al.  Assessment of crop growth and soil water modules in SWAT2000 using extensive field experiment data in an irrigation district of the Yellow River Basin , 2008 .

[33]  Ronald L. Ritschard,et al.  Spatial and temporal analysis of agricultural water requirements in the gulf coast of the United States , 1999 .

[34]  Wesley W. Wallender,et al.  A comprehensive experimental study with mathematical modeling to investigate the affects of cropping practices on water balance variables , 2006 .

[35]  MA Teng-fei,et al.  Distributed hydrological model , 2009 .

[36]  Joop G Kroes,et al.  User's guide of SWAP version 2.0 : Simulation of water flow, solute transport and plant growth in the Soil-Water-Atmosphere-Plant environment , 1997 .

[37]  Peter Droogers,et al.  Calibration of a distributed hydrological model based on satellite evapotranspiration , 2008 .