scholarly journals Exploring the Dominant Runoff Processes in Two Typical Basins of the Yellow River, China

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3055
Author(s):  
Guang Ran ◽  
Shengqi Jian ◽  
Qiang Wu ◽  
Li Zhang ◽  
Caihong Hu
Keyword(s):  
Land Use ◽  
River Basin ◽  
Management Practices ◽  
Overland Flow ◽  
Yellow River ◽  
Surface Flow ◽  
The Yellow River ◽  
Runoff Generation ◽  
Flow Components ◽  
The Impact

Storm runoff in basins is comprised of various runoff processes with widely disparate infiltration and storage capacities, such as Hortonian overland flow (HOF), saturated overland flow (SOF), sub-surface flow (SSF), and deep percolation (DP). Areas may be classified according to these various runoff processes based on the soil characteristics, geology, topography, and land-use. This study analyzes changes in runoff components in the Jialu River basin and the Fen River (Jingle sub-basin) during runoff generation from 1980 to 2013 using the runoff segmentation method. Based on the decision scheme, the dominant runoff process (DRP) in the basins was distinguished using geographic information system (GIS) tools. The impact of different runoff process distributions on the changes in the runoff for the basin was determined. The results show that the floods in the Jialu River basin and Jingle sub-basin were dominated by overland flow components. Compared with 1980–1999, the proportion of overland flow components for 2000–2013 in two basins showed a decreasing trend by 8.3% and 7.1%, respectively, while the interflow and underground runoff components increased. In addition, HOF was the DRP in the Jialu River basin and Jingle sub-basin from 2000 to 2013. The area of the rapid runoff processes (HOF, SOF1, and SSF1) in the Jialu River basin and Jingle sub-basin accounted for 89% and 78% of the entire basin, respectively. In contrast, the slow runoff processes (SOF2, SSF2, and DP) accounted for 11% and 22% of the entire basin, respectively. The runoff of the Jingle sub-basin was substantially lower than that of the Jialu River basin under the same rainfall conditions, because of the influence of the distribution of different runoff processes. Compared with the Jialu River Basin, the peak discharge and runoff of Jingle sub-basin were 190.4 m3/s and 2.85 mm lower on average, respectively. The results of this study provide useful information to understand land-use changes and formulate management practices to reduce flooding in the Yellow River.

scholarly journals Response of the parameters of excess infiltration and excess storage model to land use cover change

2020 ◽  
Vol 68 (2) ◽  
pp. 99-110 ◽  
Author(s):  
Yuexiu Wen ◽  
Caihong Hu ◽  
Guodong Zhang ◽  
Shengqi Jian
Keyword(s):  
Land Use ◽  
Overland Flow ◽  
Yellow River ◽  
The Yellow River ◽  
Model Parameters ◽  
Runoff Generation ◽  
The Loess Plateau ◽  
Infiltration Capacity ◽  
Infiltration Excess ◽  
Generation Mechanisms

AbstractThe Loess Plateau is the main source of water in Yellow River, China. After 1980s, the Yellow river water presented a significant reduction, what caused the decrease of the Yellow river discharge had been debated in academic circles. We proceeded with runoff generation mechanisms to explain this phenomenon. We built saturation excess runoff and infiltration excess runoff generation mechanisms for rainfall–runoff simulation in Jingle sub-basin of Fen River basin on the Loess Plateau, to reveal the influence of land use change on flood processes and studied the changes of model parameters under different underlying conditions. The results showed that the runoff generation mechanism was mainly infiltration-excess overland flow, but the flood events of saturation-excess overland flow had an increasing trend because of land use cover change (the increase of forestland and grassland areas and the reduction of cultivated land). Some of the model parameters had physical significances，such as water storage capacity (WM), infiltration capacity (f), evapotranspiration (CKE), soil permeability coefficient (k) and index of storage capacity distribution curve (n) showed increasing trends, and index of infiltration capacity distribution curve (m) showed a decreasing trend. The above results proved the changes of runoff generation mechanism from the perspective of model parameters in Jingle sub-basin, which can provide a new perspective for understanding the discharge reduction in the Yellow River basin.

scholarly journals The effects of rainfall characteristics and land use and cover change on runoff in the Yellow River basin, China

2021 ◽  
Vol 69 (1) ◽  
pp. 29-40
Author(s):  
CaiHong Hu ◽  
Guang Ran ◽  
Gang Li ◽  
Yun Yu ◽  
Qiang Wu ◽  
...  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Vegetation Coverage ◽  
Water Yield ◽  
The Yellow River ◽  
Rainfall Events ◽  
The Yellow River Basin ◽  
The Impact

AbstractThe changes of runoff in the middle reaches of the Yellow River basin of China have received considerable attention owing to their sharply decline during recent decades. In this paper, the impacts of rainfall characteristics and land use and cover change on water yields in the Jingle sub-basin of the middle reaches of the Yellow River basin were investigated using a combination of statistical analysis and hydrological simulations. The Levenberg Marquardt and Analysis of Variance methods were used to construct multivariate, nonlinear, model equations between runoff coefficient and rainfall intensity and vegetation coverage. The land use changes from 1971 to 2017 were ascertained using transition matrix analysis. The impact of land use on water yields was estimated using the M-EIES hydrological model. The results show that the runoff during flood season (July to September) decreased significantly after 2000, whereas slightly decreasing trend was detected for precipitation. Furthermore, there were increase in short, intense, rainfall events after 2000 and this rainfall events were more conducive to flood generation. The “Grain for Green” project was carried out in 1999, and the land use in the middle reaches of the Yellow River improved significantly, which make the vegetation coverage (Vc) of the Jingle sub-basin increased by 13%. When Vc approaches 48%, the runoff coefficient decreased to the lowest, and the vegetation conditions have the greatest effect on reducing runoff. Both land use and climate can change the water yield in the basin, but for areas where land use has significantly improved, the impact of land use change on water yield plays a dominant role. The results acquired in this study provide a useful reference for water resources planning and soil and water conservation in the erodible areas of the middle reaches of the Yellow River basin.

Valuation of Flood Reductions in the Yellow River Basin under Land Use Change

2010 ◽  
Vol 136 (1) ◽  
pp. 106-115 ◽  
Author(s):  
Yaqin Qiu ◽  
Yangwen Jia ◽  
Jincheng Zhao ◽  
Xuehong Wang ◽  
Jeff Bennett ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
The Yellow River Basin

The impact of climate variability and land use/cover change on the water balance in the Middle Yellow River Basin, China

2019 ◽  
Vol 577 ◽  
pp. 123942 ◽  
Author(s):  
Zhenxin Bao ◽  
Jianyun Zhang ◽  
Guoqing Wang ◽  
Qiuwen Chen ◽  
Tiesheng Guan ◽  
...  
Keyword(s):  
Land Use ◽  
Water Balance ◽  
Climate Variability ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Impact

scholarly journals Study on the influence of vegetation change on runoff generation mechanism in the Loess Plateau, China

2020 ◽  
Author(s):  
Xueli Zhang ◽  
Yue Yu ◽  
CaiHong Hu ◽  
Jianhua Ping
Keyword(s):  
Loess Plateau ◽  
Vegetation Change ◽  
Overland Flow ◽  
Yellow River ◽  
Generation Mechanism ◽  
Underlying Surface ◽  
The Yellow River ◽  
Runoff Generation ◽  
The Loess Plateau ◽  
Related Factors

Abstract In recent years, the amount of water and sediment in the Yellow River Basin has dropped drastically. This paper selected 125 rainfall and flood data points from 1965 to 2015, combined hydrological methods and mathematical statistics to analyze the hydrological factors and runoff generation mechanism, and combined the underlying surface conditions of the Gushanchuan Basin. The characteristics of change revealed the temporal and spatial variation characteristics and related factors of the runoff generation mechanism in the basin. The results showed that the Gushanchuan Basin is still dominated by HOF runoff, but the runoff generation mechanism also has changed with changes in the underlying surface, which are reflected in increased runoff components, the reduced proportion of HOF runoff, and the increased proportion of saturation-excess overland flow (SOF) runoff and mixed runoff. We analyzed the variation law of underlying surface in the basin, which indicated that the increase in the forest grass area was the main factor affecting changes in the watershed runoff generation mechanism. This research will enable a deeper understanding of the runoff generation mechanism of the main soil erosion areas in the Loess Plateau, reveal variations in the runoff generation mechanism in the Yellow River.

scholarly journals Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

2021 ◽  
Vol 18 (19) ◽  
pp. 10231
Author(s):  
Yu Chen ◽  
Xuyang Su ◽  
Qian Zhou
Keyword(s):  
Influencing Factors ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Indicator System ◽  
Theil Index ◽  
The Yellow River ◽  
Urban Resilience ◽  
The Yellow River Basin ◽  
The Impact

The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.

Sign in / Sign up

Export Citation Format

Share Document