长株潭城市群土地资源承载力评价
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摘要
长株潭城市群沿湘江下游两岸分布,工业化城镇化步伐快,人口集中,随着经济活动的快速发展,城市对土地资源的需求量也不断增加,造成土地资源相对紧张、人地矛盾愈发突出。以格网为基本评价单元,基于DPSIR模型构建长株潭城市群土地资源承载力的评价体系,借助GIS技术实现指标格网化,运用主成分分析法确定各指标权重,计算出土地资源相对承载力,依据土地资源承载力空间结构对其进行分等定级。结果表明:(1)长株潭城市群土地资源承载空间布局围绕城市群中心城区呈放射状向外围扩散,且呈现出北高南低的变化趋势,湘江两岸土地承载力等级相对偏高;(2)研究区相对中等承载力等级分布较广,面积比重最大;(3)指标体系中社会经济和农业发展类指标对该区土地资源承载力具有重要影响;(4)评价模型中状态因子对研究区内土地资源承载力最为敏感。本研究对促进长株潭城市群土地资源合理开发及区域可持续发展具有一定的参考意义。
The Chang-Zhu-Tan agglomeration is distributed along the lower reaches of the Xiangjiang River. The pace of industrialization and urbanization is fast, and the population is concentrated. With the rapid development of economic activities, the demand for land resources from cities is also increasing. As a result, land resources are relatively strained, and conflicts between people and land have become increasingly acute and prominent. Takes grid as the basic evaluation unit, builds an evaluation system of land bearing capacity of Chang-Zhu-Tan agglomeration based on DPSIR model, uses GIS technology to achieve index gridization, and uses principal component analysis to determine the weight of each index and calculates land resources. The relative bearing capacity is graded according to the spatial structure of the land resources carrying capacity. The results show that:(1) The spatial distribution of land resources of the urban agglomerations of the Chang-Zhu-Tan agglomeration spread radially to the periphery around the center of the urban agglomeration, and shows a trend of changing from north to south, and the carrying capacity of the land along the Xiangjiang River is relatively high;(2) The relative average carrying capacity of the research area is more widely distributed and the proportion of area is the largest;(3) Indicators of socio-economic and agricultural development indicators have important influence on the bearing capacity of land resources in the area;(4) State factor research in the evaluation model is mostly sensitive to the carrying capacity of land resources in the region. This study has certain reference significance for promoting the reasonable development of land resources in Chang-Zhu-Tan agglomeration and the sustainable development of the region.
The Chang-Zhu-Tan agglomeration is distributed along the lower reaches of the Xiangjiang River. The pace of industrialization and urbanization is fast, and the population is concentrated. With the rapid development of economic activities, the demand for land resources from cities is also increasing. As a result, land resources are relatively strained, and conflicts between people and land have become increasingly acute and prominent. Takes grid as the basic evaluation unit, builds an evaluation system of land bearing capacity of Chang-Zhu-Tan agglomeration based on DPSIR model, uses GIS technology to achieve index gridization, and uses principal component analysis to determine the weight of each index and calculates land resources. The relative bearing capacity is graded according to the spatial structure of the land resources carrying capacity. The results show that:(1) The spatial distribution of land resources of the urban agglomerations of the Chang-Zhu-Tan agglomeration spread radially to the periphery around the center of the urban agglomeration, and shows a trend of changing from north to south, and the carrying capacity of the land along the Xiangjiang River is relatively high;(2) The relative average carrying capacity of the research area is more widely distributed and the proportion of area is the largest;(3) Indicators of socio-economic and agricultural development indicators have important influence on the bearing capacity of land resources in the area;(4) State factor research in the evaluation model is mostly sensitive to the carrying capacity of land resources in the region. This study has certain reference significance for promoting the reasonable development of land resources in Chang-Zhu-Tan agglomeration and the sustainable development of the region.
引文
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[10]易敏,李毅,邓瑜兵.基于RS与GIS的长沙市建设用地动态变化及其生态环境质量评价研究[J].中南林业科技大学学报(社会科学版),2015,9(2):14-19.
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[15]罗其友,马力阳,高明杰,等.县域农业资源承载力评价预警系统构建初探[J].中国农业资源与区划,2018,39(2):1-7.
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[18]张凤太,王腊春,苏维词.基于物元分析-DPSIR概念模型的重庆土地生态安全评价[J].中国环境科学,2016,36(10):3126-3134.
[19]黄云,施生旭.基于DPSIR模型的湖南省生态治理评价[J].中南林业科技大学学报(社会科学版),2018,12(1):13-18,25.
[20]刘娜.基于格网的黄河三角洲土地综合承载力评价研究[D].济南:山东师范大学,2016.
[21]潘顺.长三角人口数据格网化及其人口空间分布特征分析[D].上海:上海师范大学,2016.
[22]李秀霞,张希.基于熵权法的城市化进程中土地生态安全研究[J].干旱区资源与环境,2011,25(9):13-17.
[23]王鹏,况福民,邓育武,等.基于主成分分析的衡阳市土地生态安全评价[J].经济地理,2015,35(1):168-172.
[24]林晓娟,房世峰,杜加强,等.基于综合承载力的北京市适度人口研究[J].地球信息科学学报,2017,19(11):1495-1503.
[25]温亮,游珍,林裕梅,等.基于层次分析法的土地资源承载力评价--以宁国市为例[J].中国农业资源与区划,2017,38(3):1-6.
[2]封志明.土地承载力研究的过去、现在与未来[J].中国土地科学,1994(3):1-9.
[3]封志明,刘玉杰.土地资源学研究的回顾与前瞻[J].资源科学,2004,26(4):2-10.
[4]Lane M.The carrying capacity imperative:assessing regional carrying capacity methodologies for sustainable land-use planning[J].Land Use Policy,2010,27(4):1038-1045.
[5]贾立斌,袁国华.基于系统动力学的土地资源承载力评价与监测预警--以安徽省凤台县为例[J].国土资源科技管理,2018,35(1):61-72.
[6]李刚,卢晓宁,边金虎,等.岷江上游土地资源承载力评价[J].水土保持研究,2015,22(1):262-268,331.
[7]张小刚,罗雅.长株潭城市群资源环境承载力评价及改善措施研究[J].中南林业科技大学学报(社会科学版),2015,9(3):34-39.
[8]李强,刘蕾.基于要素指数法的皖江城市带土地资源承载力评价[J].地理与地理信息科学,2014,30(1):56-59.
[9]贾克敬,张辉,徐小黎,等.面向空间开发利用的土地资源承载力评价技术[J].地理科学进展,2017,36(3):335-341.
[10]易敏,李毅,邓瑜兵.基于RS与GIS的长沙市建设用地动态变化及其生态环境质量评价研究[J].中南林业科技大学学报(社会科学版),2015,9(2):14-19.
[11]曹红军.浅评DPSIR模型[J].环境科学与技术,2005,28(S1):110-111,126.
[12]PULLANIKKATIL D,PALAMULENI L,RUHIIGA T.Assessment of land use change in Likangala River catchment,Malawi:A remote sensing and DPSIR approach[J].Applied Geography,2016(71):9-23.
[13]SOUSA-FELIX R C D,PEREIRA L C C,TRINDADE WN,et al.Application of the DPSIR framework to the evaluation of the recreational and environmental conditions on estuarine beaches of the Amazon coast[J].Ocean&Coastal Management,2017(149):96-106.
[14]吕昌河,贾克敬,冉圣宏,等.土地利用规划环境影响评价指标与案例[J].地理研究,2007,26(2):249-257.
[15]罗其友,马力阳,高明杰,等.县域农业资源承载力评价预警系统构建初探[J].中国农业资源与区划,2018,39(2):1-7.
[16]孙慧,刘媛媛.相对资源承载力模型的扩展与实证[J].中国人口·资源与环境,2014,24(11):126-135.
[17]李进涛,谭术魁,汪文雄.基于DPSIR模型的城市土地集约利用时空差异的实证研究--以湖北省为例[J].中国土地科学,2009,23(3):49-54,65.
[18]张凤太,王腊春,苏维词.基于物元分析-DPSIR概念模型的重庆土地生态安全评价[J].中国环境科学,2016,36(10):3126-3134.
[19]黄云,施生旭.基于DPSIR模型的湖南省生态治理评价[J].中南林业科技大学学报(社会科学版),2018,12(1):13-18,25.
[20]刘娜.基于格网的黄河三角洲土地综合承载力评价研究[D].济南:山东师范大学,2016.
[21]潘顺.长三角人口数据格网化及其人口空间分布特征分析[D].上海:上海师范大学,2016.
[22]李秀霞,张希.基于熵权法的城市化进程中土地生态安全研究[J].干旱区资源与环境,2011,25(9):13-17.
[23]王鹏,况福民,邓育武,等.基于主成分分析的衡阳市土地生态安全评价[J].经济地理,2015,35(1):168-172.
[24]林晓娟,房世峰,杜加强,等.基于综合承载力的北京市适度人口研究[J].地球信息科学学报,2017,19(11):1495-1503.
[25]温亮,游珍,林裕梅,等.基于层次分析法的土地资源承载力评价--以宁国市为例[J].中国农业资源与区划,2017,38(3):1-6.