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黄河流域空间资源环境承载能力和适宜性评价及障碍因子诊断

Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin.

机构信息

School of Economics and Management, Zhengzhou University of Light Industry, Science Avenue 136, Zhengzhou 450000, China.

School of Management, Henan University of Technology, Lianhua Street 100, High-Tech Zone, Zhengzhou 450000, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 16;20(4):3496. doi: 10.3390/ijerph20043496.

DOI:10.3390/ijerph20043496
PMID:36834191
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9966991/
Abstract

The assessment of the carrying capacity and suitability of spatial resources and the environment can provide effective guidance for regional planning and make vital contributions to the high-quality advancement of society and the economy. Additionally, this scientific evaluation of the spatial carrying capacity and suitability of urban production-living-ecological space (PLES) has important scientific value as well as practical significance for territorial spatial planning. This paper takes the cities along the Yellow River Basin (YRB) as the research object; establishes the PLES resource and environment carrying capacity evaluation index system; uses the multi-indicator superposition method and entropy weight method to evaluate the ecological importance, production and life carrying capacity of 78 cities in the YRB from 2010 to 2020; obtains the final ecological importance, production and life suitability levels based on the carrying capacity combined with the location conditions; and uses exploratory spatial data analysis (ESDA), the barrier degree model and other methods to determine the cities' spatial and temporal patterns and influencing factors. The findings indicate that: (1) Ecological importance is characterized by "high upstream and low downstream"; the suitability for production is higher mainly in the eastern coastal area; the suitability of life as a whole is increasing, and the higher grade is in some provincial capitals and surrounding cities. (2) The local Moran's I all passed the test, and the relationship between PLES showed a significant positive spatial correlation. The clustering characteristics of ecological importance and production suitability are strong, while the clustering characteristics of suitability for living functions are relatively weak. (3) Biodiversity, significance of water conservation and significance of wind and grit control functions are the main barrier factors affecting the ecological importance of the YRB; industrial value-added output per unit of industrial land, number of industrial enterprises above the scale and GDP per capita are the dominant factors affecting the production suitability of the study area; total water-resource utilization per capita, total sewage treatment per capita and residential land area per capita are the main barrier factors of living suitability.

摘要

区域空间资源环境承载力适宜性评价可为区域规划提供有效指导,为社会经济高质量发展做出重要贡献。此外,对城市生产-生活-生态空间(PLES)的空间承载力和适宜性进行科学评价,对国土空间规划具有重要的科学价值和现实意义。本文以黄河流域(YRB)城市为研究对象;构建了 PLES 资源环境承载力评价指标体系;采用多指标叠加法和熵权法,对 2010-2020 年黄河流域 78 个城市的生态重要性、生产和生活承载能力进行评价;根据承载力与区位条件相结合,得出最终的生态重要性和生活适宜性水平;利用探索性空间数据分析(ESDA)、障碍度模型等方法,确定城市的时空格局及其影响因素。结果表明:(1)生态重要性呈“上游高、下游低”特征;生产适宜性主要在东部沿海地区较高;生活适宜性整体呈上升趋势,较高等级在部分省会城市及其周边地区。(2)局部 Moran's I 均通过检验,PLES 之间呈显著正空间相关关系。生态重要性和生产适宜性的聚类特征较强,而生活功能适宜性的聚类特征较弱。(3)生物多样性、水源涵养重要性和风沙控制重要性是影响黄河流域生态重要性的主要障碍因素;单位工业用地工业增加值、规模以上工业企业数和人均 GDP 是影响研究区生产适宜性的主导因素;人均水资源总量、人均污水处理总量和人均居住用地面积是生活适宜性的主要障碍因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/84903e7c7ef8/ijerph-20-03496-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/eaa73249f387/ijerph-20-03496-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/54ebe1b36835/ijerph-20-03496-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/7563eae95081/ijerph-20-03496-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/254bd6165620/ijerph-20-03496-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/1446d58ba261/ijerph-20-03496-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/db5ed8a4f015/ijerph-20-03496-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/f1d05b7cebc7/ijerph-20-03496-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/f211084f31fe/ijerph-20-03496-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/41676f01f469/ijerph-20-03496-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/95082f9a001d/ijerph-20-03496-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/6a54d24a37f7/ijerph-20-03496-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/84903e7c7ef8/ijerph-20-03496-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/eaa73249f387/ijerph-20-03496-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/54ebe1b36835/ijerph-20-03496-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/7563eae95081/ijerph-20-03496-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/254bd6165620/ijerph-20-03496-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/1446d58ba261/ijerph-20-03496-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/db5ed8a4f015/ijerph-20-03496-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/f1d05b7cebc7/ijerph-20-03496-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/f211084f31fe/ijerph-20-03496-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/41676f01f469/ijerph-20-03496-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/95082f9a001d/ijerph-20-03496-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/6a54d24a37f7/ijerph-20-03496-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ab/9966991/84903e7c7ef8/ijerph-20-03496-g012.jpg

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