ANALYSIS OF SPATIOTEMPORAL EVOLUTION OF WATER RESOURCES CARRYING CAPACITY IN KUNMING BASED ON ENTROPY WEIGHT METHOD AND MARKOV MODEL

YUAN Lei; YANG Zanxian; LONG Haixiao; CHEN Guoping; LI Qiangjun; WU Xiaowei

doi:10.13205/j.hjgc.202306027

Volume 41 Issue 6

Jun. 2023

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(6): 202-209

YUAN Lei, YANG Zanxian, LONG Haixiao, CHEN Guoping, LI Qiangjun, WU Xiaowei. ANALYSIS OF SPATIOTEMPORAL EVOLUTION OF WATER RESOURCES CARRYING CAPACITY IN KUNMING BASED ON ENTROPY WEIGHT METHOD AND MARKOV MODEL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 202-209. doi: 10.13205/j.hjgc.202306027

Citation:

YUAN Lei, YANG Zanxian, LONG Haixiao, CHEN Guoping, LI Qiangjun, WU Xiaowei. ANALYSIS OF SPATIOTEMPORAL EVOLUTION OF WATER RESOURCES CARRYING CAPACITY IN KUNMING BASED ON ENTROPY WEIGHT METHOD AND MARKOV MODEL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 202-209. doi: 10.13205/j.hjgc.202306027

Citation:

YUAN Lei, YANG Zanxian, LONG Haixiao, CHEN Guoping, LI Qiangjun, WU Xiaowei. ANALYSIS OF SPATIOTEMPORAL EVOLUTION OF WATER RESOURCES CARRYING CAPACITY IN KUNMING BASED ON ENTROPY WEIGHT METHOD AND MARKOV MODEL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 202-209. doi: 10.13205/j.hjgc.202306027

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ANALYSIS OF SPATIOTEMPORAL EVOLUTION OF WATER RESOURCES CARRYING CAPACITY IN KUNMING BASED ON ENTROPY WEIGHT METHOD AND MARKOV MODEL

doi: 10.13205/j.hjgc.202306027

1. Faculty of Geography, Yunnan Normal University, Kunming 650500, China;
2. Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China;
3. Yunnan Surveying and Mapping Institute Co., Ltd., Kunming 651217, China

Received Date: 2022-08-10
Available Online: 2023-09-02

Abstract

Abstract

In order to reveal the changing law of water resources carrying capacity (WRCC) in Kunming and provide decision support for regional water resources allocation and sustainable utilization, this paper constructed a comprehensive evaluation model of WRCC based on the entropy weight method and Markov transfer model, and analyzed the results of the spatiotemporal transfer and evolution characteristics of WRCC in the study area over the past 25 years. The results showed that the overall water resource carrying capacity of the research area is relatively low, with significant spatial differences. Among them, the northern and northeastern regions are areas with low water resource carrying capacity due to resource scarcity, with an average annual water resource carrying capacity of 0.26 to 0.38 during the research period; the central and southwest regions have developed economies and the largest population density, and are low in water resources carrying capacity due to water shortage. The multi-year average value of water resources carrying capacity in the study period is 0.30 to 0.41; the southeast region is relatively rich in precipitation, low in population density, and relatively higher in water resources carrying capacity. The multi-year average value of water resources carrying capacity in the study period is 0.37 to 0.54. In addition, the overall spatial transfer and change frequency of water resource carrying capacity in the research area is relatively high. Among them, the frequency of changes in the central region reached a maximum of four times during the five research periods, indicating that the level of water resource carrying capacity in the study area has a significant periodic change, which is closely related to the extremely uneven spatiotemporal distribution of precipitation, imbalanced supply and demand of water resources, seasonal water scarcity, and population distribution in the study area.
- water resources carrying capacity,
- spatiotemporal evolution,
- entropy weight method,
- Markov model,
- Kunming

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References(28)

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