气候变化领域集成服务门户(CCPortal): A novel regional irrigation water productivity model coupling irrigation- And drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China

CCPortal

DOI	10.5194/hess-24-2399-2020
	A novel regional irrigation water productivity model coupling irrigation- And drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China
	Xue J.; Huo Z.; Wang S.; Wang C.; White I.; Kisekka I.; Sheng Z.; Huang G.; Xu X.
发表日期	2020
ISSN	1027-5606
起始页码	2399
结束页码	2418
卷号	24 期号:5
英文摘要	The temporal and spatial distributions of regional irrigation water productivity (RIWP) are crucial for making decisions related to agriculture, especially in arid irrigated areas with complex cropping patterns. Thus, in this study, we developed a new RIWP model for an irrigated agricultural area with complex cropping patterns. The model couples the irrigation- and drainage-driven soil water and salinity dynamics and shallow groundwater movement in order to quantify the temporal and spatial distributions of the target hydrological and biophysical variables. We divided the study area into 1 km × 1 km hydrological response units (HRUs). In each HRU, we considered four land use types: sunflower fields, wheat fields, maize fields, and uncultivated lands (bare soil). We coupled the regional soil hydrological processes and groundwater flow by taking a weighted average of the water exchange between unsaturated soil and groundwater under different land use types. The RIWP model was calibrated and validated using 8 years of hydrological variables obtained from regional observation sites in a typical arid irrigation area in North China, the Hetao Irrigation District. The model simulated soil moisture and salinity reasonably well as well as groundwater table depths and salinity. However, overestimations of groundwater discharge were detected in both the calibration and validation due to the assumption of well-operated drainage ditch conditions; regional evapotranspiration (ET) was reasonably estimated, whereas ET in the uncultivated area was slightly underestimated in the RIWP model. A sensitivity analysis indicated that the soil evaporation coefficient and the specific yield were the key parameters for the RIWP simulation. The results showed that the RIWP decreased from maize to sunflower to wheat from 2006 to 2013. It was also found that the maximum RIWP was reached when the groundwater table depth was between 2 and 4 m, regardless of the irrigation water depth applied. This implies the importance of groundwater table control on the RIWP. Overall, our distributed RIWP model can effectively simulate the temporal and spatial distribution of the RIWP and provide critical water allocation suggestions for decision-makers. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	Agricultural robots; Decision making; Evapotranspiration; Groundwater; Groundwater flow; Land use; Productivity; Sensitivity analysis; Soil moisture; Spatial distribution; Water management; Water supply; Calibration and validations; Different land use types; Groundwater table depth; Hetao irrigation districts; Hydrological response unit; Regional evapotranspiration; Soil evaporation coefficients; Temporal and spatial distribution; Irrigation; agricultural land; calibration; crop yield; evapotranspiration; irrigation system; model validation; soil water; spatial distribution; spatiotemporal analysis; water depth; water exchange; wheat; China; Hetao; Nei Monggol; Helianthus; Triticum aestivum; Zea mays
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159410
作者单位	Xue, J., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Huo, Z., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Wang, S., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Wang, C., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; White, I., Fenner School of Environment and Society, Australian National University, Fenner Building 141, Canberra, ACT 0200, Australia; Kisekka, I., University of California Davis, Department of Land Air and Water Resources, Department of Biological and Agricultural Engineering, Davis, CA 95616-5270, United States; Sheng, Z., Texas A and M AgriLife Research Center, El Paso, TX 79927-5020, United States; Huang, G., Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China; Xu, X., Center for Agricultural Water Re...
推荐引用方式 GB/T 7714	Xue J.,Huo Z.,Wang S.,et al. A novel regional irrigation water productivity model coupling irrigation- And drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China[J],2020,24(5).
APA	Xue J..,Huo Z..,Wang S..,Wang C..,White I..,...&Xu X..(2020).A novel regional irrigation water productivity model coupling irrigation- And drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China.Hydrology and Earth System Sciences,24(5).
MLA	Xue J.,et al."A novel regional irrigation water productivity model coupling irrigation- And drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China".Hydrology and Earth System Sciences 24.5(2020).