2022 - Research.com Rising Star of Science Award
His primary scientific interests are in Drainage basin, Precipitation, Water resources, Surface runoff and Irrigation. His studies deal with areas such as Atmospheric circulation and Climate model as well as Drainage basin. His Precipitation research is multidisciplinary, incorporating perspectives in Cropping and Scale.
Guoyong Leng studied Water resources and Hydrology that intersect with Farm water and Water conservation. His Surface runoff research includes elements of Drainage system, Drainage, Flood myth and Water content. His Irrigation research incorporates themes from Conditional probability, Copula and Remote sensing.
The scientist’s investigation covers issues in Drainage basin, Precipitation, Surface runoff, Water resources and Physical geography. His Drainage basin research is mostly focused on the topic Streamflow. His study in Precipitation is interdisciplinary in nature, drawing from both Global warming, Crop yield, Scale, Terrestrial ecosystem and Normalized Difference Vegetation Index.
His work deals with themes such as Predictability, Surface water, Water resource management, Flood myth and Evapotranspiration, which intersect with Surface runoff. As a part of the same scientific study, he usually deals with the Water resources, concentrating on Hydrology and frequently concerns with Water conservation. He combines subjects such as Effects of global warming and Tributary with his study of Physical geography.
Guoyong Leng mainly focuses on Drainage basin, Precipitation, Yield, Water use and Watershed. His biological study spans a wide range of topics, including Scale, Flood myth and Surface runoff. His studies in Surface runoff integrate themes in fields like Streamflow, Flood control and Water resource management.
His study in Water content extends to Precipitation with its themes. His Water content study also includes
Guoyong Leng mainly investigates Water use, Middle East, Meat packing industry, Livestock and Cropping. His Representation research extends to Water use, which is thematically connected. Other disciplines of study, such as Environmental protection and Land use, land-use change and forestry, are mixed together with his Middle East studies.
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Climate change impacts on meteorological, agricultural and hydrological droughts in China
Guoyong Leng;Qiuhong Tang;Scott Rayburg.
Global and Planetary Change (2015)
Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future.
Guoyong Leng;Jim Hall.
The propagation from meteorological to hydrological drought and its potential influence factors
Shengzhi Huang;Pei Li;Qiang Huang;Guoyong Leng.
Journal of Hydrology (2017)
Comparison of urbanization and climate change impacts on urban flood volumes: Importance of urban planning and drainage adaptation.
Qianqian Zhou;Guoyong Leng;Jiongheng Su;Yi Ren.
Science of The Total Environment (2019)
Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins
Fred Hattermann;V. Krysanova;Simon N. Gosling;Rutger Dankers.
Climatic Change (2017)
Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States
Guoyong Leng;Maoyi Huang;Qiuhong Tang;Huilin Gao.
Journal of Hydrometeorology (2014)
Linkages between hydrological drought, climate indices and human activities: a case study in the Columbia River basin
Shengzhi Huang;Qiang Huang;Jianxia Chang;Guoyong Leng.
International Journal of Climatology (2016)
The critical role of the routing scheme in simulating peak river discharge in global hydrological models
Fang Zhao;Ted I. E. Veldkamp;Katja Frieler;Jacob Schewe.
Environmental Research Letters (2017)
Modeling the Effects of Irrigation on Land Surface Fluxes and States over the Conterminous United States: Sensitivity to Input Data and Model Parameters
Guoyong Leng;Guoyong Leng;Maoyi Huang;Qiuhong Tang;William J. Sacks.
Journal of Geophysical Research (2013)
Crop yield response to climate change varies with crop spatial distribution pattern.
Guoyong Leng;Maoyi Huang.
Scientific Reports (2017)
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