2019
DOI: 10.3390/su11195295
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The Runoff Evolution and the Differences Analysis of the Causes of Runoff Change in Different Regions: A Case of the Weihe River Basin, Northern China

Abstract: The runoff levels of the major hydrological stations in the Weihe river basin (WRB) have been found to present decreasing trends. However, the conspicuous spatial differences in the hydro-meteorological conditions have led to variations in the rainfall–runoff pattern in each of the sub-basin areas. The aims of this research study were to reveal the main factors contributing to the runoff changes in the different regions—and it has significance in the water resources rational allocation and protection in the di… Show more

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Cited by 6 publications
(6 citation statements)
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References 47 publications
(78 reference statements)
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“…The two effects on total stream flow were mainly attributed to human activities at Linjiacuan and Xianyang stations, accounting for 64% and 60%, respectively, while the effect at Huaxian station was 49%. The effects of climate change and human activities on stream flow in WRB have been computed in several studies, and the results of this study are consistent with those of Zuo [32], Zhan [33], and Jiang [34]. Therefore, in the change process of total stream flow, except for the variation at Huaxian Station that was greatly affected by climate change, the other two stations were heavily influenced by human activities.…”
Section: Model Calibration and Stream Flow Reconstructionsupporting
confidence: 85%
See 1 more Smart Citation
“…The two effects on total stream flow were mainly attributed to human activities at Linjiacuan and Xianyang stations, accounting for 64% and 60%, respectively, while the effect at Huaxian station was 49%. The effects of climate change and human activities on stream flow in WRB have been computed in several studies, and the results of this study are consistent with those of Zuo [32], Zhan [33], and Jiang [34]. Therefore, in the change process of total stream flow, except for the variation at Huaxian Station that was greatly affected by climate change, the other two stations were heavily influenced by human activities.…”
Section: Model Calibration and Stream Flow Reconstructionsupporting
confidence: 85%
“…The Weihe River Basin (WRB), an important river in Shaanxi Province, known to the Shaanxi people as their mother river, is the largest tributary of the Yellow River in northern China and is a main river for Ningxia and Gansu Provinces in northwestern China that provides the surface water for irrigation and water supplies for several major cities in the arid region. The stream flow in the WRB has significantly declined in the 20th century [31,32]. Based on 13 stream flow gauges in the WRB, the monthly stream flow depth has declined 0.1-2.1 mm during the period from 1960 to 2009, and the main driving factors for the declined stream flow are believed to be related to reservoir operation, vegetation change, surface water consumption, and water and soil conservation [33].…”
Section: Introductionmentioning
confidence: 99%
“…In 2015, the southeastern section of Sanming was affected by a severe drought, and the region's WECC level was very poor. This should relate to the arrangement of water infrastructure in the Min River Basin [36]. The first terraced hydropower plant in New China was constructed at Ningde [37].…”
Section: Spatial-temporal Characteristics Of Weccmentioning
confidence: 99%
“…Various methods are currently used to evaluate the effects of climate change and LUCC on streamflow, which is at the forefront of the research on global environmental change. This includes the elastic coefficient method [7], the precipitation-runoff regression relationship method [8], the method of reconstructing runoff by using or combining hydrological models [9], etc. The SWAT (Soil and Water Assessment Tool) model was developed for basin management by the USDA (United States Department of Agriculture) and ARS (Agricultural Research Service) [10] because it is relatively simple to operate and, due to its favorable performance in simulating hydrological and water-quality processes, it is widely used to capture the hydrological response to climate change and LUCC [11][12][13].…”
Section: Introductionmentioning
confidence: 99%