Parallelization of a distributed ecohydrological model

Liu, Ning; Shaikh, Mohsin Ahmed; Kala, Jatin; Harper, R.J.; Dell, B.; Liu, Shirong; Sun, Ge

doi:10.1016/j.envsoft.2017.11.033

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…We used a process‐based Water Supply Stress Index (WaSSI) model to project the effects of urbanization on watershed water balances for four time periods: 2000 (baseline), 2010, 2050, 2100. The WaSSI model has been well‐validated and applied in the United States (Caldwell et al, 2012, 2015; Sun, Caldwell, et al, 2011; S. Sun, Sun, et al, 2016), Rwanda (Bagstad et al, 2018), China (Liu et al, 2013), and Australia (Liu et al, 2018). The model proved to be effective for understanding regional ecohydrological effects of forest thinning (Sun, Caldwell, et al, 2015), wildland fires (Hallema et al, 2018), drought (Sun, Sun, et al, 2015b, 2015c), air pollution and climate change (Duan et al, 2016), and water withdrawals (Caldwell et al, 2012), and also ecosystem service trade‐off quantifications (Bagstad et al, 2018; Duan et al, 2016) in various physiographic settings.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Urbanization on Watershed Water Balances Across the Conterminous United States

Cheng

Sun

Caldwell

et al. 2020

Water Resources Research

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Urbanization impacts ecosystem functions and services by fundamentally altering the balances between precipitation, water yield (Q), and evapotranspiration (ET) in watersheds. Accurate quantification of future hydrologic impacts is essential for national urban planning and watershed management decision making. We hypothesize that “hydrologic impacts of urbanization are not created equal” as a result of the large spatial variability in climate and land use/land cover change (LULCC). A monthly water balance model was validated and applied to quantify the hydrologic responses of 81,900 12‐digit Hydrologic Unit Code (HUC) watersheds to historical and projected LULC in 2000, 2010, 2050, and 2100 in the conterminous United States (CONUS). Stepwise regression and Geographically Weighted Regression models were used to identify key factors controlling the spatially varied hydrologic impacts across CONUS. Although the simulated impact of future urbanization on mean change in water yield (ΔQ) was small at the national level, significant changes (ΔQ > 50 mm/year) were found in 1,046 and 3,747 watersheds by 2050 and 2100, respectively. Hydrologic responses varied spatially and were more pronounced in the eastern United States. Overall, the impacts of urbanization on water yield were influenced by local climate, previous LULC characteristics, and the magnitude of changes in land use and impervious surfaces. The continued increase in impervious surface, especially in previously urbanized watersheds, and background precipitation contributed most to future ΔQ through both increase in direct runoff and reduction in ET. Effective national‐scale integrated watershed management strategies must consider local climatic and LULC conditions to minimize negative hydrologic impacts of urbanization.

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