基于熵权TOPSIS和耦合协调模型的四川省土地利用效益耦合协调关系及时空演变特征

谢贤健

doi:10.13870/j.cnki.stbcxb.2024.01.014

您当前的位置：

首页 >

文章列表页 >

基于熵权TOPSIS和耦合协调模型的四川省土地利用效益耦合协调关系及时空演变特征

更新时间：2025-03-12

- 基于熵权TOPSIS和耦合协调模型的四川省土地利用效益耦合协调关系及时空演变特征
- Coupling Coordination Relationship and Spatiotemporal Evolution Characteristics of Land Use Benefit in Sichuan Province Based on Entropy Weight TOPSIS and Coupling Coordination Model
- 水土保持学报 2024年38卷第1期页码：267-277
- 作者机构：
  
  内江师范学院地理与资源科学学院,四川,内江,641112
- 作者简介：
  
  [ "谢贤健(1978—),男,博士,教授,主要从事水土保持理论及技术研究。E-mail:249983710@qq.com" ]
- 基金信息：
  
  长江科学院开放研究基金项目(CKWV2017523/KY);国家自然科学基金项目(42207413);四川省社会科学重点研究基地沱江流域高质量发展研究中心项目(TJGZL-2023-07)
- DOI：10.13870/j.cnki.stbcxb.2024.01.014
  中图分类号： F293.2
- 纸质出版：2024
- 稿件说明：
移动端阅览
谢贤健. 基于熵权TOPSIS和耦合协调模型的四川省土地利用效益耦合协调关系及时空演变特征[J]. 水土保持学报, 2024,38(1):267-277.

XIE Xianjian. Coupling Coordination Relationship and Spatiotemporal Evolution Characteristics of Land Use Benefit in Sichuan Province Based on Entropy Weight TOPSIS and Coupling Coordination Model[J]. 2024, 38(1): 267-277.
谢贤健. 基于熵权TOPSIS和耦合协调模型的四川省土地利用效益耦合协调关系及时空演变特征[J]. 水土保持学报, 2024,38(1):267-277. DOI： 10.13870/j.cnki.stbcxb.2024.01.014.

XIE Xianjian. Coupling Coordination Relationship and Spatiotemporal Evolution Characteristics of Land Use Benefit in Sichuan Province Based on Entropy Weight TOPSIS and Coupling Coordination Model[J]. 2024, 38(1): 267-277. DOI： 10.13870/j.cnki.stbcxb.2024.01.014.

摘要

[目的] 从社会、经济、生态环境3个方面评价区域土地利用效益及其耦合关系有利于实现土地资源的合理配置及优化用地结构。[方法] 以四川省21个地市州为研究对象

利用熵权TOPSIS法和耦合协调度模型

构建了2010—2020年四川省土地利用效益的综合评价体系

并基于GIS技术

分析了土地利用的社会、经济、生态环境效益及其耦合协调关系的时空演变特征。[结果] (1)四川省各地市州的土地利用综合效益整体上呈上升趋势

空间上具有"西北高东南低"的空间格局;土地利用的经济、生态环境效益整体上具有上升趋势

分别表现为 "西高东低"和"中东部高西部低"的空间格局;土地利用社会效益整体上呈下降趋势

具有"中部高两翼低"的空间格局;三大效益在空间均具有较显著的聚集特征。(2)四川省各地市州的土地利用耦合协调等级为4个

总体协调水平不高

以勉强协调为主

其次是濒临失调

具有"中间高两翼低"的空间格局

且耦合等级相同的城市聚集度较高

土地利用效益耦合协调等级在空间分布上需进一步改善。(3)影响四川省地利用效益大小的因子依次为社会>经济>社会经济>社会生态>生态环境效益系统;土地利用效益耦合协调关系主要受社会、经济效益单一因子影响

其次是社会经济复合因素

最后是社会生态复合因素的影响。[结论] 四川省各地市州的土地利用综合效益整体上呈上升趋势

区域差异显著

总体的耦合协调水平处于较低等级

且耦合等级相同的城市聚集度较高

在今后的发展中应该调控城镇化的无序扩张

注重城市基础公共服务等设施的建设

增加城市环境建设投入

促进四川省土地经济效益-社会效益-生态环境效益间的协调发展

以期为提升四川省土地利用综合效益提供参考。

Abstract

[Objective] Evaluating regional land use efficiency and its coupling relationship from three aspects of society

economy

and ecological environment is beneficial for achieving rational allocation of land resources and optimizing land use structure. [Method] In this paper

taking 21 cities and prefectures in Sichuan Province as the research objects

a comprehensive evaluation system for land use benefit in Sichuan Province from 2010 to 2020 was constructed using the entropy weight TOPSIS method and coupling coordination degree model. Based on GIS technology

the coupling coordination relationship and spatiotemporal evolution characteristics of the social

economic

and ecological environmental benefits of land use were analyzed. [Result] (1) the overall comprehensive land use benefit of various cities and prefectures in Sichuan Province was on the rise

with a spatial pattern of "high in the northwest and low in the southeast". The overall economic benefits of land use and ecological environmental benefits were showing an upward trend

manifested as a spatial pattern of "high in the west and low in the east" and "high in the central and western regions and low in the west"

respectively. The overall social benefits of land use were showing a downward trend

with a spatial pattern of "high in the middle and low in the two wings". The three major benefits all had significant clustering characteristics in space. (2) There were four levels of land use coupling coordination in various cities and prefectures in Sichuan Province

with an overall coordination level that was not high

mainly being barely coordinated

followed by a near imbalance

and the spatial pattern being "high in the middle and low on the two wings". Cities with the same coupling level had higher aggregation

and the land use benefit coupling coordination level needs further improvement in spatial distribution. (3) The factors that affect the size of land use benefit in Sichuan Province were in the order of social > economic > socio-economic > social ecology > ecological environment benefit system. The coupling and coordination relationship of land use benefits was mainly influenced by a single factor of social and economic benefits

followed by social and economic composite factors

and then social and ecological composite factors. [Conclusion] The overall comprehensive benefits of land use in various cities and prefectures in Sichuan Province were on the rise

with significant regional differences. The overall level of coupling coordination was at a lower level

and cities with the same coupling level had a higher degree of agglomeration. In future development

it is necessary to regulate the disorderly expansion of urbanization

pay attention to the construction of urban basic public services and other facilities

and increase the investment in urban environmental construction

promote the coordinated development of land economic benefits

social benefits

and ecological environmental benefits in Sichuan Province. The research conclusion aims to provide a reference for improving the comprehensive benefits of land use in Sichuan Province.

关键词

Keywords

references

祁帆,李宪文,刘康.自然生态空间用途管制制度研究[J].中国土地,2016(12):21-23. QI F, LI X W, LIU K. Research on control system of natural ecological space use[J].China Land,2016(12):21-23.

郑涛,陈爽,张童,等.基于贝叶斯网络的生态用地流失机制研究[J].自然资源学报,2020,35(12):2980-2994. ZHENG T, CHEN S, ZHANG T, et al. Research on driving mechanism of ecological land loss based on Bayesian network[J].Journal of Natural Resources,2020,35(12):2980-2994.

喻锋,李晓波,张丽君,等.中国生态用地研究:内涵、分类与时空格局[J].生态学报,2015,35(14):4931-4943. YU F, LI X B, ZHANG L J, et al. Study of ecological land in China: Conception,classification,and spatial-temporal pattern[J].Acta Ecologica Sinica,2015,35(14):4931-4943.

吴健生,钟晓红,彭建,等.基于生态系统服务簇的小尺度区域生态用地功能分类:以重庆两江新区为例[J].生态学报,2015,35(11):3808-3816. WU J S, ZHONG X H, PENG J, et al. Function classification of ecological land in a small area based on ecosystem service bundles: A case study in Liangjiang New Area,China[J].Acta Ecologica Sinica,2015,35(11):3808-3816.

VLIET J V. Direct and indirect loss of natural area from urban expansion[J].Nature Sustainability,2019,2(8):755-763.

孙彦旭,周自翔,米朝娟.基于土地利用覆被变化(LUCC)的人类活动与流域生物多样性灰色关联分析[J].干旱区研究,2021,38(6):1782-1792. SUN Y X, ZHOU Z X, MI C J. Grey correlation analysis of human activities and watershed biodiversity based on land use and cover change[J].Arid Zone Research,2021,38(6):1782-1792.

刘剑宇,张强,陈喜,等.气候变化和人类活动对中国地表水文过程影响定量研究[J].地理学报,2016,71(11):1875-1885. LIU J Y, ZHANG Q, CHEN X, et al. Quantitative evaluations of human- and climate-induced impacts on hydrological processes of China[J].Acta Geographica Sinica,2016,71(11):1875-1885.

殷嘉迪,董金玮,匡文慧,等.20世纪90年代以来中国生态空间演化的时空格局和梯度效应[J].生态学报,2020,40(17):5904-5914. YIN J D, DONG J W, KUANG W H, et al. Pattern and gradient effects of ecological space changes in China since 1990s[J].Acta Ecologica Sinica,2020,40(17):5904-5914.

高吉喜,刘晓曼,王超,等.中国重要生态空间生态用地变化与保护成效评估[J].地理学报,2021,76(7):1708-1721. GAO J X, LIU X M, WANG C, et al. Evaluating changes in ecological land and effect of protecting important ecological spaces in China[J].Acta Geographica Sinica,2021,76(7):1708-1721.

卫新东,张健,王筛妮,等.黄河流域2000—2020年生态用地格局变化与分异趋势[J].生态学杂志,2021,40(11):3424-3435. WEI X D, ZHANG J, WANG S N, et al. The evolution and differentiation trend of ecological land pattern in the Yellow River Basin from 2000 to 2020[J].Chinese Journal of Ecology,2021,40(11):3424-3435.

党雪薇,周亮,胡凤宁,等.关中平原城市群扩张对生态用地的多尺度影响[J].生态学报,2022,42(7):3020-3032. DANG X W, ZHOU L, HU F N, et al. The multi-scale direct and indirect effects of urban expansion of Guanzhong Plain Urban on ecological land[J].Acta Ecologica Sinica,2022,42(7):3020-3032.

周锐,王新军,苏海龙,等.平顶山新区生态用地的识别与安全格局构建[J].生态学报,2015,35(6):2003-2012. ZHOU R, WANG X J, SU H L, et al. Identification and security pattern of ecological land in Pingdingshan newly developed area[J].Acta Ecologica Sinica,2015,35(6):2003-2012.

WANG H, ZHANG C, YAO X C, et al. Scenario simulation of the tradeoff between ecological land and farmland in black soil region of Northeast China[J].Land Use Policy,2022,114:e105991.

李颖,冯玉,彭飞,等.基于地理探测器的天津市生态用地格局演变[J].经济地理,2017,37(12):180-189. LI Y, FENG Y, PENG F, et al. Pattern evolvement of ecological land in Tianjin based on geodetector[J].Economic Geography,2017,37(12):180-189.

LI Y G, LIU W, ZHU M, et al. The role of land use change in affecting ecosystem services and the ecological security pattern of the Hexi Regions Northwest China[J].The Science of the Total Environment,2022,855:e158940.

刘林,雷冬梅,冉玉菊,等.基于生态系统服务功能的滇池流域关键性生态用地识别[J].农业工程学报,2021,37(11):277-284. LIU L, LEI D M, RAN Y J, et al. Identification of critical ecological land in Dianchi Watershed based on the perspective of ecosystem service function[J].Transactions of the Chinese Society of Agricultural Engineering,2021,37(11):277-284.

石小伟,冯广京,苏培添,等.大都市郊区土地利用时空演变特征与生境质量评价[J].农业工程学报,2021,37(4):275-284. SHI X W, FENG G J, SU P T, et al. Spatiotemporal evolution of land use and habitat quality assessment in the suburbs of metropolitan[J].Transactions of the Chinese Society of Agricultural Engineering,2021,37(4):275-284.

WANG A Y, LIAO X Y, TONG Z J, et al. Spatial-temporal dynamic evaluation of the ecosystem service value from the perspective of "production-living-ecological" spaces: A case study in Dongliao River Basin, China[J].Journal of Cleaner Production, 2022,333:e130218.

BARDGETT R D, BULLOCK J M, LAVOREL S, et al. Combatting global grassland degradation[J].Nature Reviews Earth and Environment,2021,2(10):720-735.

BART S, NANDIN-ERDENE T, ANDRESS V, et al. Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa[J].International Journal of Applied Earth Observation and Geoinformation, 2020,86:e102009.

PENG J, ZHAO M Y, GUO X N, et al. Spatial-temporal dynamics and associated driving forces of urban ecological land: A case study in Shenzhen City, China[J].Habitat International,2017,60:81-90.

刘彦文,刘成武,何宗宜,等.基于地理加权回归模型的武汉城市圈生态用地时空演变及驱动机制[J].应用生态学报,2020,31(3):987-998. LIU Y W, LIU C W, HE Z Y, et al. Spatial-temporal evolution of ecological land and influence factors in Wuhan urban agglomeration based on geographically weighted regression model[J].Chinese Journal of Applied Ecology,2020,31(3):987-998.

陈宽,杨晨晨,白力嘎,等.基于地理探测器的内蒙古自然和人为因素对植被NDVI变化的影响[J].生态学报,2021,41(12):4963-4975. CHEN K, YANG C C, BAI L G, et al. Effects of natural and human factors on vegetation normalized difference vegetation index based on geographical detectors in Inner Mongolia[J].Acta Ecologica Sinica,2021,41(12):4963-4975.

刘金雅,汪东川,孙然好,等.基于变化轨迹分析方法的生态用地流失空间关联研究[J].地理研究,2020,39(1):103-114. LIU J Y, WANG D C, SUN R H, et al. Study on spatial relevance of ecological-land loss based on change trajectory analysis method[J].Geographical Research,2020,39(1):103-114.

陈忠媛,高永年.长江水系湖泊型流域生态用地长时间序列时空变化分析[J].中国科学院大学学报,2022,39(2):172-184. CHEN Z Y, GAO Y N. Spatio-temporal change of ecological land in lake-basin of Yangtze River system[J].Journal of University of Chinese Academy of Sciences,2022,39(2):172-184.

宁晓刚,常文涛,王浩,等.联合GEE与多源遥感数据的黑龙江流域沼泽湿地信息提取[J].遥感学报,2022,26(2):386-396. NING X G, CHANG W T, WANG H, et al. Extraction of marsh wetland in Heilongjiang Basin based on GEE and multi-source remote sensing data[J].Journal of Remote Sensing,2022,26(2):386-396.

杨丽萍,张静,贡恩军,等.GEE联合多源数据的西安市土地利用时空格局及驱动力分析[J].农业工程学报,2022,38(2):279-288. YANG L P, ZHANG J, GONG E J, et al. Analysis of spatio-temporal land-use patterns and the driving forces in Xi'an City using GEE and multi-source data[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(2):279-288.

于元赫,李子君,林锦阔,等.沂河流域土地利用时空变化图谱特征分析[J].自然资源学报,2019,34(5):975-988. YU Y H, LI Z J, LIN J K, et al. TUPU characteristics of spatiotemporal variation for land use in the Yihe River Basin[J].Journal of Natural Resources,2019,34(5):975-988.

李彤,贾宝全,刘文瑞,等.京津冀地区生态用地稳定性格局及其驱动机制[J].生态学报,2022,42(24):9927-9944. LI T, JIA B Q, LIU W R, et al. Spatial pattern of ecological land stability analysis and influencing factor in Beijing-Tianjin-Hebei Region[J].Acta Ecologica Sinica,2022,42(24):9927-9944.

王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134. WANG J F, XU C D. Geodetector: Principle and prospective[J].Acta Geographica Sinica,2017,72(1):116-134.

张秋梦,贾宝全,李彤,等.中国生态用地稳定性空间分异及其影响因素[J].生态学报,2023,43(14):5764-5775. ZHANG Q M, JIA B Q, LI T, et al. The spatial distribution and influencing factors of ecological land stability in China[J].Acta Ecologica Sinica,2023,43(14):5764-5775.

浏览量

715

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于RS和GIS的四川省耕地的动态变化特征分析

辽宁省侵蚀沟发育特性及地形分异特征