Modeling Water Accessibility of Natural River Networks Using the Fine-Grained Physical Watershed Characteristics at the Grid Scale

Yu, Guangming; Chen, Xiaoxu; Tu, Zhenfa; Yu, Qiwu; Liu, Yuan; Yu, Hailong

doi:10.1007/s11269-017-1643-4

Cited by 8 publications

(3 citation statements)

References 34 publications

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“…Smiley [56] selected the four elements of water quality, water cost, water reliability, and water intake burden, and measured water resource accessibility through questionnaires and statistical analysis. Yu et al [28] selected four factors including the slope, relative height difference, distance, and runoff to comprehensively analyze the accessibility of river water resources in the Hanjiang River Basin. Li et al [29] constructed a grid-scale water accessibility evaluation model based on the length, runoff and viewshed value.…”

Section: Evaluation Methods Of Water Resource Accessibilitymentioning

confidence: 99%

“…The limited water resource accessibility of spatial units not only threatens the supply of drinking water and irrigation water, but also threatens the sustainable and healthy development of the ecosystem [20,59,60]. Therefore, spatially accessible water resources are essential for an adequate freshwater supply [28].…”

Section: Water Resource Accessibility and Regional Eco-socio-economicmentioning

confidence: 99%

“…The former is mainly measured by quantity or quality, reflecting the attractiveness of the destination, and the latter is mainly measured by indicators such as time, distance, or cumulative cost, reflecting the convenience of reaching the destination [17,18].The quantity, quality, and accessibility of water resources are the basic requirements for ensuring water resource security [19,20]. However, the existing water resource evaluations mostly focus on the assessment of water quality and water quantity [21][22][23][24][25], but less attention has been paid to water resource accessibility [10,[26][27][28][29]. Water resource accessibility refers to the difficulty of obtaining water resources from water sources [30], which is the fundamental factor determining the quantity, quality, and the efficiency of the water supply.…”

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confidence: 99%

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Evaluating Water Resource Accessibility in Southwest China

Qiu

Mao

et al. 2019

Water

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The accessibility, quantity, and quality of water resources are the basic requirements for guaranteeing water resource security. Research into regional water resource accessibility will contribute to improving regional water resource security and effective water resource management. In this study, we used a water resource accessibility index model considering five spatial factors to evaluate the grid-scale water resource accessibility and constructed the spatial pattern of water resource accessibility in Southwest China. Then, we analyzed the coupling coordination degree between county-level water resource accessibility and eco-socio-economic water demand elements. The water resource accessibility showed obvious regional differences, and the overall trend gradually decreased from Southeast to Northwest. The coupling coordination degree between county-level water resource accessibility and eco-socio-economic water demand elements was between 0.26 and 0.84, and was relatively low overall, whereas the counties (districts) with high coordination, moderate coordination, low coordination, reluctant coordination, and incoordination accounted for 0.92%, 5.31%, 21.06%, 59.71%, and 13.00% of total counties (districts), respectively. Therefore, the Southwest region needs to further strengthen the construction of its agricultural irrigation facilities, protect the water resources, and coordinate the relationship between water resource management and water demand elements to comprehensively guarantee regional sustainable development.

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Section: Evaluation Methods Of Water Resource Accessibilitymentioning

confidence: 99%

Section: Water Resource Accessibility and Regional Eco-socio-economicmentioning

confidence: 99%

mentioning

confidence: 99%

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Evaluating Water Resource Accessibility in Southwest China

Qiu

Mao

et al. 2019

Water

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Trivariate Copula Based Evaluation Model of Water Accessibility

Liu

Chen

et al. 2019

Water Resour Manage

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Water accessibility is an important factor in water use assessments for water users. Water accessibility is affected by climate and socio-economic changes, and notably large regional differences exist. Therefore, understanding water accessibility is essential for effective water management. Based on the length, runoff and viewshed value of each water consumption grid, this paper characterized the corresponding water accessibility using the standardized accumulative probability distribution of the three variables. The Copula function was used to connect the accumulative probability distributions of the three variables and construct a joint distribution. The joint probability distribution was applied to characterize the water accessibility of all of the water consumption grids, and a grid-scale water accessibility evaluation model-LRV (Length-Runoff-Viewshed) was constructed. This paper chose the Yongdinghe River Basin as a case study to evaluate water accessibility using the LRV model. The T Copula function was chosen as the joint distribution function to obtain the water accessibility distribution pattern of the Yongdinghe River Basin. This model obtained the water accessibility of every water consumption grid and provided technical support for refined water resources management.

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Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India

Paul

Saha

2023

Environ Sci Pollut Res

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Modeling Water Accessibility of Natural River Networks Using the Fine-Grained Physical Watershed Characteristics at the Grid Scale

Cited by 8 publications

References 34 publications

Evaluating Water Resource Accessibility in Southwest China

Evaluating Water Resource Accessibility in Southwest China

Trivariate Copula Based Evaluation Model of Water Accessibility

Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India

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