Risk Assessment of Water Resources Carrying Capacity in China

Lv, Aifeng; Han, Yan; Zhu, Wenxiang; Zhang, Shifeng; Zhao, Weihua

doi:10.1111/1752-1688.12936

Cited by 22 publications

(15 citation statements)

References 24 publications

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“…Wind energy and solar energy are typical climate resources, but they are not the only renewable resources in China, which also has hydro-energy resources, geothermal-energy resources, tidal-energy resources, and so on [40][41][42][43][44]. Therefore, we hope to coordinate wind-and solar-energy resources in areas where the complementarity advantage is not obvious by using hydro-energy, which is temporally stable, widely distributed, and easily accessible to improve the profit from the actual complementary development [44][45][46]. The evaluation results of water energy resources in nine basins in China show that it is possible to coordinate and complement water energy resources.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Distribution and Complementarity of Wind and Solar Energy in China

Zhang

et al. 2022

Energies

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China is rich in wind- and solar-energy resources. In recent years, under the auspices of the “double carbon target,” the government has significantly increased funding for the development of wind and solar resources. However, because wind and solar energy are intermittent and their spatial distribution is uneven, the profits obtained by the developers of wind- and solar-energy resources are unstable and relatively low. For this reason, we analyze in this article the spatiotemporal variations in wind and solar energy resources in China and the temporal complementarity of wind and solar energy by applying a Spearman correlation coefficient based on the Daily Value Dataset of China Surface Climate Data V3.0. Finally, we also strive to harmonize regions where wind and solar resources are less complementary by introducing hydro-energy resources. The results reveal that wind energy and solar energy resources in China undergo large interannual fluctuations and show significant spatial heterogeneity. At the same time, according to the complementarity of wind and solar resources, over half of China’s regions are suitable for the complementary development of resources. Further research shows that the introduction of hydro-energy resources makes it feasible to coordinate and complement the development of wind- and solar-energy resources in areas where the complementarity advantage is not significant. This has a significant effect on increasing the profit generated by the complementary development of two or more renewable resources.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Distribution and Complementarity of Wind and Solar Energy in China

Zhang

et al. 2022

Energies

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“…The closeness degree of each year can be used to judge the level of water resource carrying capacity, thus judging whether it is good or bad. Based on the previous findings [23][24][25], the final results are divided into five grades according to the closeness degree T ij in a non-equidistant way in combination with the actual conditions of Zhengzhou. The specific grades are listed in Table 2.…”

Section: Evaluation Model Of Water Resources Carrying Capacitymentioning

confidence: 99%

Study on Water Resource Carrying Capacity of Zhengzhou City Based on DPSIR Model

Jia

Wang

2023

IJERPH

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Based on the driving force–pressure–state–impact–response (DPSIR) model, a comprehensive evaluation index system is constructed. The index weight is determined by the combination weighting method in combination with the data of 2010–2019. The TOPSIS model is used to comprehensively analyze the water resource carrying capacity of Zhengzhou as the central city in China with a developed economy and relatively short water resources. The study results are as follows. (1) During the sample period, the comprehensive evaluation value of water resources carrying capacity of Zhengzhou increases from 0.4183 in 2010 to 0.5560 in 2019, with an overall fluctuating rise. Simultaneously, the water resource carrying capacity grade improves from Grade III (normal carrying capacity) to Grade II (good carrying capacity). (2) The contribution of each subsystem to the comprehensive evaluation value increases year by year. Among them, S subsystem and I subsystem make the largest contribution to the comprehensive carrying capacity. R subsystem makes a relatively stable contribution to the overall carrying capacity. Affected by GDP growth rate and uneven temporal–spatial distribution of water resources in Zhengzhou, the D subsystem and P subsystem of water resource carrying capacities show the fluctuating change. Finally, based on the above conclusions, this paper puts forward the countermeasures and suggestions to improve the level of water resource carrying capacity of Zhengzhou.

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“…WRCC significantly impacts the prevention of environmental degradation and the spatial balance of water resources. Therefore, an in-depth study of regional WRCC and an accurate assessment can promote the full scientific utilization of regional water resources and the sustainable development of the regional social economy [3,4]. used to diagnose the main obstacle factors.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Water Resource Carrying Capacity and Obstacle Factors Based on GRA-TOPSIS Evaluation Method in Manas River Basin

Gulishengmu

Yang

Tian

et al. 2023

Water

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The investigation of water resource carrying capacity (WRCC) in oasis cities in Northwest China is useful for guiding the sustainable development of arid regions. To quantify the WRCC of Shihezi, an oasis city in the Manas River Basin (MRB), Northwest China, a total of 21 indicators from three subsystems were selected to construct an evaluation index system based on the theory of the water resource–socio-economic–ecological complex system. Our study utilized a combination of the CRITIC method and the entropy weight method to determine the synthesis weight, the GRA-TOPSIS approach to comprehensively evaluate the WRCC, and the obstacle degree model to identify its main obstacle factors. Our results showed that the WRCC of Shihezi showed an increasing trend from 2011 to 2020, with the compositive index increasing from 0.3454 to 0.5210. The carrying capacities of the ecological environment and socio-economic subsystems were generally on the rise, but the rate of change was relatively gentle from 2017 to 2020. The carrying capacity index of the water resource subsystem dropped significantly from year to year from 2016 to 2020. The irrigation coverage rate, the proportion of agricultural water, water consumption per 10,000 CNY of GDP, the modulus of water production, water resource development and its utilization ratio, the water supply modulus, and the proportion of ecological water were the seven most significant obstacles. Our findings could serve as scientific references for enhancing WRCC and promoting the sustainable development of oasis cities in arid regions.

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Risk Assessment of Water Resources Carrying Capacity in China

Cited by 22 publications

References 24 publications

Spatiotemporal Distribution and Complementarity of Wind and Solar Energy in China

Spatiotemporal Distribution and Complementarity of Wind and Solar Energy in China

Study on Water Resource Carrying Capacity of Zhengzhou City Based on DPSIR Model

Analysis of Water Resource Carrying Capacity and Obstacle Factors Based on GRA-TOPSIS Evaluation Method in Manas River Basin

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