饮用水源地产水量时空变化及其影响因子——以云龙水库为例

刘安友; 邹进; 刘磊; 周齐彬; 李阳; 容祎; 何潇

doi:10.13961/j.cnki.stbctb.2023.04.044

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饮用水源地产水量时空变化及其影响因子——以云龙水库为例

试验研究

- 饮用水源地产水量时空变化及其影响因子——以云龙水库为例
- Spatiotemporal Variation and Influencing Factors of Water Yield in Drinking Water Sources—A Case Study at Yunlong Reservoir Basin
- 水土保持通报 2023年43卷第4期页码：385-395
- 作者机构：
  
  1. 昆明理工大学电力工程学院,云南,昆明,650500
  2. 云南省水文水资源局曲靖分局,云南,曲靖,655000
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“质量能构架下水资源承载力演变的动态机理及其可持续性研究”(41061053)
- DOI：10.13961/j.cnki.stbctb.2023.04.044
  中图分类号： K903
- 纸质出版：2023
- 稿件说明：
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刘安友, 邹进, 刘磊, 等. 饮用水源地产水量时空变化及其影响因子——以云龙水库为例[J]. 水土保持通报, 2023,43(4):385-395.

Liu Anyou, Zou Jin, Liu Lei, et al. Spatiotemporal Variation and Influencing Factors of Water Yield in Drinking Water Sources—A Case Study at Yunlong Reservoir Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 385-395.
刘安友, 邹进, 刘磊, 等. 饮用水源地产水量时空变化及其影响因子——以云龙水库为例[J]. 水土保持通报, 2023,43(4):385-395. DOI： 10.13961/j.cnki.stbctb.2023.04.044.

Liu Anyou, Zou Jin, Liu Lei, et al. Spatiotemporal Variation and Influencing Factors of Water Yield in Drinking Water Sources—A Case Study at Yunlong Reservoir Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 385-395. DOI： 10.13961/j.cnki.stbctb.2023.04.044.

摘要

[目的] 探究昆明市饮用水源地之一的云龙水库流域2001—2020年产水量时空格局变化及其影响因子，为水源地产水量服务功能的可持续发展、生态补偿机制和生态保护政策的制定提供科学依据。[方法] 基于InVEST模型与ArcGIS空间地理分析工具分析产水量时空变化，采用多情景分析与差值比较法对影响因子进行比较分析。[结果] ①云龙水库流域产水量呈现季节性分布特点，多集中于夏季，2001—2020年产水量整体呈先下降后上升趋势，3期单位面积产水量均值分别为495，278，364 mm。②在空间格局分布上，产水量由西南向东北逐步增加，高值区位于东北部，低值区位于中部。③2001—2020年土地利用变化、降水量、潜在蒸散量对云龙水库流域产水量变化的贡献度依次为1.93%，85.66%，12.41%。[结论] 气候因子是影响云龙水库流域产水量变化的主导因子，土地利用类型变化最小，在土地利用类型中林地年产水量最高。未来在云龙水库流域应减少人类生产生活中向大气释放的废热，加强水源涵养林的建设与保护，降低人类活动改变下垫面性质对气候产生的消极影响。

Abstract

[Objective] The spatial and temporal distribution of water yield at Yunlong Reservoir basin (one of the sources of drinking water in Kunming) from 2001 to 2020 was studied in order to provide a scientific basis for the sustainable development of a water yield service function

and for constructing an ecological compensation mechanism and ecological protection policies. [Methods] We used the InVEST model and the ArcGIS spatial geographic analysis tool to determine the spatial and temporal changes of water yield. The factors influencing these changes were compared and analyzed by multi-scenario analysis and the difference comparison method. [Results] ① The water yield of Yunlong Reservoir basin showed seasonal distribution characteristics

mostly concentrated in summer. From 2001 to 2020

the water yield of Yunlong Reservoir basin initially decreased and then increased. The average water yield per unit area in the three study phases were 495 mm

278 mm

and 364 mm

respectively. ② Water production gradually increased spatially from southwest to northeast

with high values located in the northeast and low values in the middle. ③ The contribution rates of land use change

precipitation

and potential evapotranspiration to water yield change at Yunlong Reservoir basin from 2001 to 2020 were 1.93%

85.66%

and 12.41%

respectively. [Conclusion] Climate was the dominant factor affecting water yield changes at Yunlong Reservoir basin

and changes in land use type had the smallest impact on water yield. The annual water yield of forest land was the highest among the land use types. In the future

efforts should be made at Yunlong Reservoir basin to reduce the waste heat released to the atmosphere by human production activities and life

to strengthen the construction and protection of water conservation forests

and to reduce the negative impacts of human activities on climate which are the results of changing the underlying surface properties.

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