Abstract
A mismatch of water and land resources leads to various water problems and degradation of the ecological function of a basin. Existing water resource allocations and land resource allocations consist of different objects, basic units, allocation goals, and methods, and this makes it difficult to achieve joint allocations on a unified platform. In this study, we utilize the water and land resource system as the research object. An optimal allocation model of water and land resources is constructed, which utilizes multiple objectives from the aspects of water quantity, water quality, water efficiency, ecological function, and the matching degree of water and land resources. The constructed model is then used to allocate water and land resources in the Sihe River Basin, and the results of the water and land resource allocations of each configuration unit under different water supply conditions are obtained. This study provides technical support for a synthetically delicate management of water and land resources based on the land units in a river basin.
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Data Availability
Raw data were generated at Resource and Environment Science and Data Center. Derived data supporting the findings of this study are available from the corresponding author [XL] on request.
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We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.
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This work was funded by the National Science Fund Project (52130907), Natural Sciences Foundation of Henan (202300410541), National Natural Sciences Foundation of China (U2243214), and Central Nonprofit Research Institutions Basic Scientific Research Special Fund (HKF202204, HKF202112).
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Jianwei Wang is mainly responsible for article writing, Tianling Qin provides ideas and funds, Xizhi Lv provides ideas and funds, Yongxin Ni prepared data, Qiufen Zhang revised the language, and Li Ma checked data.
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Wang, J., Qin, T., Lv, X. et al. Study of Optimal and Joint Allocations of Water and land Resources for Multiple Objectives. Water Resour Manage 37, 1241–1256 (2023). https://doi.org/10.1007/s11269-023-03427-x
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DOI: https://doi.org/10.1007/s11269-023-03427-x