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Spatial matching and flow in supply and demand of water provision services: A case study in Xiangjiang River Basin

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Abstract

Global climate change and increased human consumption have aggravated the uneven spatiotemporal distribution of watershed water resources, affecting the water provision supply and demand state. However, this problem has often been ignored. The present study used the Xiangjiang River basin (XRB) as the study area, and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, demand quantification model, supply–demand ratio, and water flow formula were applied to explore the spatial heterogeneity, flow, and equilibrium between water supply and demand. The results demonstrated significant spatial heterogeneity in the upstream, midstream, and downstream regions. The areas of water shortage were mainly located the downstream of the Changsha–Zhuzhou–Xiangtan urban agglomeration, and the Hengyang basin was the most scarcity area. Affected by terrain gradients and human needs, water flow varied from -16.33 × 108 m3 to 13.69 × 108 m3 from the upstream to the downstream area, which provided a possibility to reduce spatial heterogeneity. In the future, measures such as strengthening water resource system control, sponge city construction, and dynamic monitoring technology should be taken to balance the supply and demand of water in different river sections of the basin. This study can provide references for regulating water resources allocation in different reaches of the basin.

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Acknowledgment

This research was supported by National Natural Science Foundation of China (grant number 42171258, 41877084), Natural Science Foundation of Hunan Province (grant number 2021JJ30448).

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Correspondence to Zhong-wu Li.

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Deng, Cx., Zhu, Dm., Liu, Yj. et al. Spatial matching and flow in supply and demand of water provision services: A case study in Xiangjiang River Basin. J. Mt. Sci. 19, 228–240 (2022). https://doi.org/10.1007/s11629-021-6855-7

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  • DOI: https://doi.org/10.1007/s11629-021-6855-7

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