Analysis for spatial-temporal matching pattern between water and land resources in Central Asia

Zhang, Ying; Yan, Zhengxiao; Song, Jinxi; Wei, Anlei; Sun, Haotian; Cheng, Dandong

doi:10.2166/nh.2020.177

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…According to the average water yield coefficient during 1951-2017, the Huaihe River region is the largest (0.33), followed by the Yellow River region and the Haihe River region with the values of 0.19 and 0.20, respectively. The water yield coefficient reflects the potential of precipitation to transform into water resources and a region's water yield capacity [22]. So, these results indicated that among the three regions, the Huaihe River region has the most powerful water yield capacity with the highest average water yield coefficient.…”

Section: The Temporal Changes In Water Resources In the Huang-huai-ha...mentioning

confidence: 91%

“…The Gini coefficient was also calculated to reveal the changes in the matching degree between agricultural water and cultivated land resources [21]. The Gini coefficient model and the matching index model were used together to analyze the matching between water and land resources in Central Asia [22]. For the DEA model, the water and land resources are used as the input indicators and the agricultural output is the output index for studying the matching degree of water and land resources [23].…”

Section: Introductionmentioning

confidence: 99%

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The Spatial and Temporal Assessment of the Water–Land Nexus in a Changing Environment: The Huang-Huai-Hai River Basin (China)

Liu

Bao

Wang

et al. 2022

Water

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In addition to agriculture, the water–land nexus (WLN) also profoundly affects the sustainable development of industry and residents’ lives. However, little research has been designed to assess the water–land nexus from the perspective of industry development and people’s quality of life. In the current paper, Wi, a regional industrial water–land nexus matching index, and Wd, a matching index of the domestic water–land nexus, were proposed for evaluating the water–land nexus from the industry development and quality of life perspectives separately in the current paper. Furthermore, climate change and human activities have significant impacts on the water–land nexus. The WLNs were assessed spatially and temporally for the first time based on these two indexes in 128 municipalities in the Huang-Huai-Hai River Basin of China from 1951 to 2017 to analyze the impacts of the changing environment on them. The impact of changing environment was explored based on changes of some climate factors and land use. The value of Wi are higher in the eastern and southern cities than the western and northern cities, while Zhenjiang city in Jiangsu Province has the highest Wi. For Wd, there are two low Wd zones across the basin, while the minimum values occurred in Linxia Hui Autonomous Region (Wd = 35.34 mm). Wi and Wd in most cities in the basin showed a significant downward trend, and some cities in the southwest of the basin have the fastest-decreasing of Wd. Wt and Wa were also calculated to assess the total and agricultural water–land nexus separately based on existing research. The Wt for the Huang-Huai-Hai River Basin gradually increases from northwest to southeast, and its spatial distribution characteristics are similar to precipitation in the river basin. In addition, the government should simultaneously implement water transfer plans to reduce the agricultural water pressure in Ningxia and Gansu provinces. Dynamic driving factors of change of the four assessment indexes (Wt, Wa, Wi, Wd) are briefly analyzed in the end of the paper.

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Section: The Temporal Changes In Water Resources In the Huang-huai-ha...mentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

The Spatial and Temporal Assessment of the Water–Land Nexus in a Changing Environment: The Huang-Huai-Hai River Basin (China)

Liu

Bao

Wang

et al. 2022

Water

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“…The Gini coefficient is employed to quantify how well regional water resources correspond to economic factors [43]. The Gini coefficient measures the distribution imbalance of water resources in a region, which can indicate the fairness of that distribution [44]. A low Gini coefficient for the distribution of water resources indicates an even distribution throughout the region, with minimal differences in water availability between regions; conversely, a high Gini coefficient indicates an unequal distribution of water resources within the region [45].…”

Section: Gini Coefficient Of Water Distributionmentioning

confidence: 99%

Joint Optimization of Urban Water Quantity and Quality Allocation in the Plain River Network Area

Zhao,

Fang,

Wang

et al. 2024

Sustainability

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Cities located in the plain river network area possess abundant water resources. However, due to urbanization and industrialization, there is a severe water shortage problem caused by poor water quality. To overcome this issue, a multi-objective optimal allocation model of water quantity and quality is proposed. The model considers regional water resources, economic, social, and environmental requirements and uses the NSGA-II genetic algorithm for model solution. Furthermore, to evaluate and analyze the degree of spatial equilibrium of regional water resources and how it relates to economic factors, the study uses the spatial equilibrium theory of water resources and the Gini coefficient of water resources. Jingjiang, a city in Jiangsu Province characterized by a typical plain river network area, was selected as the study area. The results of the optimal allocation of water resources in Jingjiang City show that: (1) total water consumption and chemical oxygen demand (COD) emissions for the current planning period are within their respective limits. In addition, the implementation of the water conservation program has resulted in a 5% reduction in total water shortages and a reduction of COD emissions by 1276 tons, (2) the structure of the water supply in Jingjiang City has been optimized; more than 90% of Ⅳ~V surface water is used for agriculture, and the domestic water supply is mainly from transit water, which effectively ensures that high-quality water is used in the domestic water supply, (3) the spatial equilibrium coefficient of water resources per sub-area is between 0.33 and 0.74, indicating an unbalanced or almost unbalanced level. The application of a water conservation program has resulted in the improvement of the spatial equilibrium level of water resources in each sub-area, with an overall spatial equilibrium of 0.64, indicating a more balanced level; the degree of matching of water resources with population, GDP, and land area is at the matching level, (4) according to the Gini coefficient of the distribution of water resources, the plains river network area displays a better match between water resources and economic and social factors of each water receiving area, thanks to its unique geographical location and natural conditions. This study can serve as a decision-making reference for addressing the urban water quality water shortage problem in the plain river network area.

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“…studied the matching pattern between renewable water resources and farmland area in Central Asia by constructing a Gini Coefficient model. The authors concluded that the large spatial differences in the matching degree in water distribution and utilization among Central Asian countries, along with the overexploitation of land resources, have ultimately led to the serious water crisis [9]. As shown above, the spatial-temporal distribution and matching situation between water and land resources has been mainly calculated using the following three methods: (i) studying the equilibrium status of regional water and land resources by drawing a Lorenz curve and building Gini Coefficient model, (ii) investigating the spatial-temporal change trend of water and land resources based on the Gravity Center model, and (iii) based on the statistical yearbook's water consumption and land area data, analyzing the matching index of water and land resources using the water consumption per unit land area as the measurement indicator.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Spatial-Temporal Changes of Oasis Farmland in the Tarim River Basin from the Perspective of Agricultural Water Footprint

Long

Deng

et al. 2021

Water

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The Tarim River Basin in China has predominantly assumed the task of commodity cotton and other high water-intensive crop production in recent years. The spatial matching status of agricultural water and land resources is a prerequisite for local economic development. This paper provides an insight into the spatiotemporal variation trends of agricultural production water footprint and oasis farmland in the Tarim River Basin. The degree of spatial mismatching between oasis farmland and crop production water footprints studied in this paper found how the crop water footprint affected the change in oasis farmland area by sensitivity analysis. Time series data covering the period of 1990–2015 were used for the study. The results showed that the annual variation of crop production water footprint and oasis farmland area have experienced upward trends in Tarim River Basin. The blue water makes the largest contribution to the components of the crop production water footprint in each district (all exceeded 77%). The crop production water footprint and oasis farmland area tend to aggregate towards the eastern region. The level of spatial mismatch between the blue water footprint and farmland area fluctuated during the study period, but it was gradually remedied after 2000, while the spatial mismatch between green water footprint and farmland area gradually worsened. The number of districts with mid and high sensitivity to changes in blue water footprint continuously increased during 1990–2005, which revealed that the change in blue water footprint has an increasing influence on oasis farmland. The results can provide operable recommendations for efficient use of water resources, maintaining oasis suitable farmland scale and agricultural sustainable development in the Tarim River Basin.

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Analysis for spatial-temporal matching pattern between water and land resources in Central Asia

Cited by 14 publications

References 19 publications

The Spatial and Temporal Assessment of the Water–Land Nexus in a Changing Environment: The Huang-Huai-Hai River Basin (China)

The Spatial and Temporal Assessment of the Water–Land Nexus in a Changing Environment: The Huang-Huai-Hai River Basin (China)

Joint Optimization of Urban Water Quantity and Quality Allocation in the Plain River Network Area

Understanding the Spatial-Temporal Changes of Oasis Farmland in the Tarim River Basin from the Perspective of Agricultural Water Footprint

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