Simulating the Effects of Widespread Adoption of Efficient Irrigation Technologies on Irrigation Water Use

Irrigation technologies are changing: becoming more efficient, better managed, and capable of more precise targeting. Widespread adoption of these technologies is shifting water balances and significantly altering the hydrologic cycle in some of the largest irrigated regions in the world, such as the High Plains Aquifer of the USA. There, declining groundwater resources, increased competition from alternate uses, changing surface water supplies, and increased subsidies and incentives are pushing farmers to adopt these new technologies. Their decisions about adoption, irrigation extent, and total water use are largely unrecorded, limiting critical data for what is the single largest consumptive water use globally. Here, we present a novel data fusion of an annual water use and technology database in Kansas with our recent remotely-sensed Annual Irrigation Maps (AIM) dataset to produce a spatially and temporally complete record of these decisions. We then use this fusion to drive the Landscape Hydrologic Model (LHM), which simulates the full terrestrial water cycle at hourly timesteps for large regions. The irrigation module within LHM explicitly simulates each major irrigation technology, allowing for a comprehensive evaluation of changes in irrigation water use over time and space. Here we simulate 2000 - 2016, a period which includes a major increase in the use of modern efficient irrigation technology (such as Low Energy Precision Application, LEPA) as well as both drought and relative wet periods. Impacts on water use are presented through time and space, along with implications for adopting these technologies across the USA and globally.