Journal
WATER
Volume 14, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/w14121938
Keywords
irrigation; hydrology; groundwater recharge; crop water productivity; coupled modeling
Categories
Funding
- National Science Foundation Innovations at the Nexus of Food, Energy and Water Systems [EAR-1639327, EAR-1903249]
- National Research Traineeship Program NRT-INFEWS: UMD Global STEWARDS (STEM Training at the Nexus of Energy, Water Reuse and Food Systems) [1828910]
- U.S. Department of Agriculture, Agricultural Research Service
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Groundwater use for irrigation has a significant impact on agricultural productivity and local water resources. This study evaluated different groundwater irrigation schemes and found that auto-irrigation scheduling based on plant water stress generally outperformed prescribed irrigation based on well pumping rates in simulating irrigation volume and groundwater levels. The study also highlighted the effects of groundwater irrigation on the water cycle and crop water productivity.
Groundwater use for irrigation has a major influence on agricultural productivity and local water resources. This study evaluated the groundwater irrigation schemes, SWAT auto-irrigation scheduling based on plant water stress (Auto-Irr), and prescribed irrigation based on well pumping rates in MODFLOW (Well-Irr), in the U.S. Northern High Plains (NHP) aquifer using coupled SWAT-MODFLOW model simulations for the period 1982-2008. Auto-Irr generally performed better than Well-Irr in simulating groundwater irrigation volume (reducing the mean bias from 86 to -30%) and groundwater level (reducing the normalized root-mean-square-error from 13.55 to 12.47%) across the NHP, as well as streamflow interannual variations at two stations (increasing NSE from 0.51, 0.51 to 0.55, 0.53). We also examined the effects of groundwater irrigation on the water cycle. Based on simulation results from Auto-Irr, historical irrigation led to significant recharge along the Elkhorn and Platte rivers. On average over the entire NHP, irrigation increased surface runoff, evapotranspiration, soil moisture and groundwater recharge by 21.3%, 4.0%, 2.5% and 1.5%, respectively. Irrigation improved crop water productivity by nearly 27.2% for corn and 23.8% for soybean. Therefore, designing sustainable irrigation practices to enhance crop productivity must consider both regional landscape characteristics and downstream hydrological consequences.
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