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Dingbao Wang

Researcher at University of Central Florida

Publications -  105
Citations -  4967

Dingbao Wang is an academic researcher from University of Central Florida. The author has contributed to research in topics: Climate change & Surface runoff. The author has an hindex of 33, co-authored 104 publications receiving 3914 citations. Previous affiliations of Dingbao Wang include University of Illinois at Urbana–Champaign.

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Assessing interannual variability of evapotranspiration at the catchment scale using satellite‐based evapotranspiration data sets

TL;DR: In this paper, the authors investigated the interannual evapotranspiration variability and water-energy balance at over 547 catchments across the contiguous United States in different climate zones.
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Karst catchments exhibited higher degradation stress from climate change than the non-karst catchments in southwest China: An ecohydrological perspective

TL;DR: Wang et al. as mentioned in this paper investigated the effects of karst landform on the elasticity of actual evapotranspiration (derived by the Budyko equation) and estimated the contribution of climate change and evaluated the implications, on the basis of 13 typical catchments that have different KG coverages in southwest China.
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Detecting human interferences to low flows through base flow recession analysis

TL;DR: In this paper, an empirical analysis to incorporate groundwater pumping and return flow as variables in the base flow recession process is presented, which is subsequently applied to the Salt Creek Watershed, a highly urban watershed located in the Chicago area.
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Irrigation Scheduling—Role of Weather Forecasting and Farmers’ Behavior

TL;DR: In this paper, a case study on corn production in the Havana Lowlands region, Illinois, examines the extent to which the incorporation of different types of weather forecasts into irrigation scheduling can increase the profitability of irrigated agriculture.
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Comparative study of climate and human impacts on seasonal baseflow in urban and agricultural watersheds

TL;DR: In this paper, the authors explored the long-term trends of low flow magnitude and the slopes and shapes of the recession curves during winter and summer seasons under climatic and human factors.