基于隐性—韧性—显性的武汉城市资源环境承载力空间特征

doi:10.11821/dlxb202110008

Abstract

Abstract:

The resources and environment carrying capacity (RECC) is a barometer of the development of urban territory space, so exploring the spatial characteristics of RECC is greatly significant for optimizing the territory spatial pattern. In this context, this paper uses new urban geographic information data, such as night-time lights and atmospheric remote sensing, points of interest, historical traffic situation and social media, on the basis of relevant procedures and guidelines. Furthermore, a theoretical framework based on the covert-resilient-overt analysis of the spatial characteristics of urban RECC is proposed, and a method combining spatial autocorrelation and fractal geometry is developed for spatial characteristics mining of RECC. Taking Wuhan as an example to carry out research, the results show that: (1) The distribution of RECC in Wuhan has significant spatial heterogeneity. Areas with higher covert carrying capacity are concentrated in the Huangpi District and Xinzhou District with superior ecological environment in the northern periphery of the city, areas with high resilient carrying capacity are concentrated in the central urban area with strong comprehensive risk response capabilities, and areas with high overt carrying capacity are located in the sub-center of the city with sound basic functions. (2) The RECC in Wuhan has positive spatial aggregation, and it shows significant radius-centripetal fractal and circle characteristics. The areas of high covert carrying capacity spread radially around, and the areas with high resilient carrying capacity are concentrated in the core of the city in a centripetal shape, the areas with high overt carrying capacity are between the areas with high values of covert and resilient carrying capacity. In conclusion, the spatial characteristics analysis and mining method system of urban RECC constructed in this paper make up for the shortcomings of the low dynamics of traditional data by introducing multi-source spatial temporal data, and improves the theoretical and technical paradigm of urban RECC research. The research provides a new way of thinking for the carrying capacity of urban resources and environment.

Key words: urban resource and environmental carrying capacity, spatial feature, urban resilience, spatial autocorrelation, fractal geometry, Wuhan city

WU Hao, JIANG Zhimeng, LIN Anqi, ZHU Wenchao, WANG Wei. Analyzing spatial characteristics of urban resource and environment carrying capacity based on Covert-Resilient-Overt:A case study of Wuhan city[J].Acta Geographica Sinica, 2021, 76(10): 2439-2458.

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References 43

[1]	Fan Jie, Wang Yafei, Liang Bo. The evolution process and regulation of China's regional development pattern. Acta Geographica Sinica, 2019, 74(12):2437-2454.
	[ 樊杰, 王亚飞, 梁博. 中国区域发展格局演变过程与调控. 地理学报, 2019, 74(12):2437-2454.]
[2]	Jiao Limin, Lei Weiqian, Xu Gang, et al. Urban scaling and the spatio-temporal characteristics of scaling exponents in China. Acta Geographica Sinica, 2020, 75(12):2744-2758. doi: 10.11821/dlxb202012014
	[ 焦利民, 雷玮倩, 许刚, 等. 中国城市标度律及标度因子时空特征. 地理学报, 2020, 75(12):2744-2758.]
[3]	Ren Yufei, Fang Chuanglin, Sun Si'ao, et al. Progress in local and tele-coupling relationship between urbanization and eco-environment. Acta Geographica Sinica, 2020, 75(3):589-606. doi: 10.11821/dlxb202003011
	[ 任宇飞, 方创琳, 孙思奥, 等. 城镇化与生态环境近远程耦合关系研究进展. 地理学报, 2020, 75(3):589-606.]
[4]	Hao Qing, Deng Ling, Feng Zhiming. Carrying capacity reconsidered in spatial planning: Concepts, methods and applications. Journal of Natural Resources, 2019, 34(10):2073-2086. doi: 10.31497/zrzyxb.20191005
	[ 郝庆, 邓玲, 封志明. 国土空间规划中的承载力反思: 概念、理论与实践. 自然资源学报, 2019, 34(10):2073-2086.]
[5]	Duan Peili, Liu Shuguang, Yin Peng, et al. Spatial-temporal coupling coordination relationship between development strength and resource environmental bearing capacity of coastal cities in China. Economic Geography, 2018, 38(5):60-67.
	[ 段佩利, 刘曙光, 尹鹏, 等. 中国沿海城市开发强度与资源环境承载力时空耦合协调关系. 经济地理, 2018, 38(5):60-67.]
[6]	Cheng J Y, Zhou K, Chen D, et al. Evaluation and analysis of provincial differences in resources and environment carrying capacity in China. Chinese Geographical Science, 2016, 26(4):539-549. doi: 10.1007/s11769-015-0794-6
[7]	Zhang M, Liu Y M, Wu J, et al. Index system of urban resource and environment carrying capacity based on ecological civilization. Environmental Impact Assessment Review, 2018, 68:90-97. doi: 10.1016/j.eiar.2017.11.002
[8]	Liao S J, Wu Y, Wong S W, et al. Provincial perspective analysis on the coordination between urbanization growth and resource environment carrying capacity (RECC) in China. Science of the Total Environment, 2020, 730:138694. DOI: 10.1016/j.scitotenv.2020.138964.
[9]	Shao Q L, Liu X C, Zhao W J. An alternative method for analyzing dimensional interactions of urban carrying capacity: Case study of Guangdong-Hong Kong-Macao Greater Bay Area. Journal of Environmental Management, 2020, 273:111064. DOI: 10.1016/j.jenvman.2020.111064. doi: 10.1016/j.jenvman.2020.111064
[10]	Niu Fangqu, Feng Zhiming, Liu Hui. Evaluation of resources environmental carrying capacity and its application in industrial restructuring in Tibet, China. Acta Geographica Sinica, 2019, 74(8):1563-1575. doi: 10.11821/dlxb201908006
	[ 牛方曲, 封志明, 刘慧. 资源环境承载力综合评价方法在西藏产业结构调整中的应用. 地理学报, 2019, 74(8):1563-1575.]
[11]	Zhen Feng, Qin Xiao. The Application of big data in smart city research and planning. Urban Planning International, 2014, 29(6):44-50.
	[ 甄峰, 秦萧. 大数据在智慧城市研究与规划中的应用. 国际城市规划, 2014, 29(6):44-50.]
[12]	Qian Zhenming. Chinese urban governance system based on sustainable development: Theoretical explanation and action analysis. Urban Studies, 2008, 15(3):150-155.
	[ 钱振明. 基于可持续发展的中国城市治理体系: 理论阐释与行动分析. 城市发展研究, 2008, 15(3):150-155.]
[13]	Chen Mingxing, Liang Longwu, Wang Zhenbo, et al. Geographical thinking on the relationship between beautiful China and land spatial planning. Acta Geographica Sinica, 2019, 74(12):2467-2481. doi: 10.11821/dlxb201912004
	[ 陈明星, 梁龙武, 王振波, 等. 美丽中国与国土空间规划关系的地理学思考. 地理学报, 2019, 74(12):2467-2481.]
[14]	Malthus T. An essay on the principle of population. Back to styles forum of modern language studies, 2005, 41(1):114-115.
[15]	Niu Fangqu, Feng Zhiming, Liu Hui. A review on evaluating methods of regional resources and environment carrying capacity. Resources Science, 2018, 40(4):655-663.
	[ 牛方曲, 封志明, 刘慧. 资源环境承载力评价方法回顾与展望. 资源科学, 2018, 40(4):655-663.]
[16]	Liu Wenzheng, Zhu Jin. Research progress of resources and environmental carrying capacity: From the perspective of the comprehensive study of geography. China Population, Resources and Environment, 2017, 27(6):75-86.
	[ 刘文政, 朱瑾. 资源环境承载力研究进展: 基于地理学综合研究的视角. 中国人口·资源与环境, 2017, 27(6):75-86.]
[17]	Qin Cheng, Wang Hongqi, Tian Yanan, et al. Study on evaluation indexes of resources and environmental carrying capability. China Population, Resources and Environment, 2011, 21(S2):335-338.
	[ 秦成, 王红旗, 田雅楠, 等. 资源环境承载力评价指标研究. 中国人口·资源与环境, 2011, 21(S2):335-338.]
[18]	Zhang Shuhai, Ruan Duanbin. Evaluation of resources and environment carrying capacity from the perspective of resource cross-regional mobility: A dynamic evaluation framework and practice. Journal of Natural Resources, 2020, 35(10):2358-2370. doi: 10.31497/zrzyxb.20201005
	[ 张书海, 阮端斌. 资源跨区域流动视角下的承载力评价: 一个动态评价框架及其应用. 自然资源学报, 2020, 35(10):2358-2370.]
[19]	Duan Chunqing, Liu Changming, Chen Xiaonan, et al. Preliminary research on regional water resources carrying capacity conception and method. Acta Geographica Sinica, 2010, 65(1):82-90.
	[ 段春青, 刘昌明, 陈晓楠, 等. 区域水资源承载力概念及研究方法的探讨. 地理学报, 2010, 65(1):82-90.]
[20]	Niu Fangqu, Sun Dongqi. Modelling the sustainability of China's growth based on the resource and environmental carrying capacity. Acta Geographica Sinica, 2019, 74(12):2604-2613. doi: 10.11821/dlxb201912013
	[ 牛方曲, 孙东琪. 资源环境承载力与中国经济发展可持续性模拟. 地理学报, 2019, 74(12):2604-2613.]
[21]	Zhang Yin, Yang Qingyuan, Min Jie. An analysis of coupling between the bearing capacity of the ecological environment and the quality of new urbanization in Chongqing. Acta Geographica Sinica, 2016, 71(5):817-828.
	[ 张引, 杨庆媛, 闵婕. 重庆市新型城镇化质量与生态环境承载力耦合分析. 地理学报, 2016, 71(5):817-828.]
[22]	Jin Gui, Deng Xiangzheng, Zhao Xiaodong, et al. Spatio-temporal patterns of urban land use efficiency in the Yangtze River Economic Zone during 2005-2014. Acta Geographica Sinica, 2018, 73(7):1242-1252.
	[ 金贵, 邓祥征, 赵晓东, 等. 2005—2014年长江经济带城市土地利用效率时空格局特征. 地理学报, 2018, 73(7):1242-1252.]
[23]	Wu Kejie, Wu Jidong, Ye Mengqi. A review on the application of social media data in natural disaster emergency management. Progress in Geography, 2020, 39(8):1412-1422.
	[ 邬柯杰, 吴吉东, 叶梦琪. 社交媒体数据在自然灾害应急管理中的应用研究综述. 地理科学进展, 2020, 39(8):1412-1422.]
[24]	Jiao Limin, Li Zehui, Xu Gang, et al. The characteristics and patterns of spatially aggregated elements in urban areas of Wuhan. Acta Geographica Sinica, 2017, 72(8):1432-1443. doi: 10.11821/dlxb201708008
	[ 焦利民, 李泽慧, 许刚, 等. 武汉市城市空间集聚要素的分布特征与模式. 地理学报, 2017, 72(8):1432-1443.]
[25]	Wu Hao, Wu Xia, Wang Wei, et al. Analysis and simulation of spatio-temporal evolution of land use in the Yangtze River Economic Belt since 2000. Journal of Central China Normal University(Natural Sciences), 2019, 53(5):692-702.
	[ 吴浩, 吴霞, 王伟, 等. 2000年以来长江经济带土地利用时空演化分析与模拟研究. 华中师范大学学报(自然科学版), 2019, 53(5):692-702.]
[26]	Wang Jing, Yuan Xinyi, Chen Ye, et al. Evaluation method and application for resources-environment carrying capacity towards sustainable urban ecosystem management: A case study of Yantai city. Journal of Natural Resources, 2020, 35(10):2371-2384. doi: 10.31497/zrzyxb.20201006
	[ 王静, 袁昕怡, 陈晔, 等. 面向可持续城市生态系统管理的资源环境承载力评价方法与实践应用: 以烟台市为例. 自然资源学报, 2020, 35(10):2371-2384.]
[27]	Shao Yiwen, Xu Jiang. Understanding urban resilience: A conceptual analysis based on integrated international literature review. Urban Planning International. 2015, 30(2):48-54.
	[ 邵亦文, 徐江. 城市韧性: 基于国际文献综述的概念解析. 国际城市规划, 2015, 30(2):48-54.]
[28]	Wu H, Li Z, Clarke K C, et al. Examining the sensitivity of spatial scale in cellular automata markov chain simulation of land use change. International Journal of Geographical Information Science, 2019, 33(5):1040-1061. doi: 10.1080/13658816.2019.1568441
[29]	Feng Zhiming, Yang Yanzhao, Yan Huimin, et al. A review of resources and environment carrying capacity research since the 20^th Century: From theory to practice. Resources Science, 2017, 39(3):379-395.
	[ 封志明, 杨艳昭, 闫慧敏, 等. 百年来的资源环境承载力研究: 从理论到实践. 资源科学, 2017, 39(3):379-395.]
[30]	Li Shuangcheng, Liu Jinlong, Zhang Caiyu, et al. The research trends of ecosystem services and the paradigm in geography. Acta Geographica Sinica, 2011, 66(12):1618-1630.
	[ 李双成, 刘金龙, 张才玉, 等. 生态系统服务研究动态及地理学研究范式. 地理学报, 2011, 66(12):1618-1630.]
[31]	Egoh B, Reyers B, Rouget M, et al. Spatial congruence between biodiversity and ecosystem services in South Africa. Biological Conservation, 2009, 142(3):553-562. doi: 10.1016/j.biocon.2008.11.009
[32]	Wei Shimei, Pan Jinghu. Network structure resilience of cities at the prefecture level and above in China. Acta Geographica Sinica, 2021, 76(6):1394-1407. doi: 10.11821/dlxb202106006
	[ 魏石梅, 潘竟虎. 中国地级及以上城市网络结构韧性测度. 地理学报, 2021, 76(6):1394-1407.]
[33]	Xiu Chunliang, Wei Ye, Wang Qi. Evaluation of urban resilience of Dalian city based on the perspective of "Size-Density-Morphology". Acta Geographica Sinica, 2018, 73(12):2315-2328. doi: 10.11821/dlxb201812004
	[ 修春亮, 魏冶, 王绮. 基于“规模—密度—形态”的大连市城市韧性评估. 地理学报, 2018, 73(12):2315-2328.]
[34]	Han Zenglin, Dong Mengru, Liu Tianbao, et al. Spatial accessibility evaluation and layout optimization of basic education facilities in community life circle: A case study of Shahekou in Dalian. Scientia Geographica Sinica, 2020, 40(11):1774-1783. doi: 10.13249/j.cnki.sgs.2020.11.002
	[ 韩增林, 董梦如, 刘天宝, 等. 社区生活圈基础教育设施空间可达性评价与布局优化研究: 以大连市沙河口区为例. 地理科学, 2020, 40(11):1774-1783.]
[35]	Chen Wei. Identifying the spatial scope of megaregions in China from the perspective of accessibility. Geographical Research, 2020, 39(12):2808-2820.
	[ 陈伟. 基于可达性的中国城市群空间范围识别研究. 地理研究, 2020, 39(12):2808-2820.]
[36]	Hao Feilong, Wang Shijun, Xie Dongcan, et al. Space-time accessibility of commercial centers in Changchun urban area based on internet map service. Economic Geography, 2017, 37(2):68-75.
	[ 浩飞龙, 王士君, 谢栋灿, 等. 基于互联网地图服务的长春市商业中心可达性分析. 经济地理, 2017, 37(2):68-75.]
[37]	Feng Jian, Zhong Yichun. The spatial structure of urban residents' quality of life in Changzhou based on residential environment. Acta Geographica Sinica, 2020, 75(6):1237-1255.
	[ 冯健, 钟奕纯. 基于居住环境的常州城市居民生活质量空间结构. 地理学报, 2020, 75(6):1237-1255.]
[38]	Shi Yishao, Yin Changying, Wang Hefeng, et al. Research progress and prospect on urban comprehensive carrying capacity. Geographical Research, 2013, 32(1):133-145.
	[ 石忆邵, 尹昌应, 王贺封, 等. 城市综合承载力的研究进展及展望. 地理研究, 2013, 32(1):133-145.]
[39]	Zhang Chenming, Gao Jianhua, Li Shimin, et al. Fractal dimension study of urban morphology based on network accessibility. Geographical Research, 2018, 37(12):2528-2540. doi: 10.11821/dlyj201812013
	[ 张宸铭, 高建华, 黎世民, 等. 基于路网可达性的城市空间形态集聚分形研究. 地理研究, 2018, 37(12):2528-2540.]
[40]	Liu Jisheng, Chen Yanguang. A study on fractal dimensions of spatial structure of transport networks and the methods of their determination. Acta Geographica Sinica, 1999, 54(5):471-478. doi: 10.11821/xb199905011
	[ 刘继生, 陈彦光. 交通网络空间结构的分形维数及其测算方法探讨. 地理学报, 1999, 54(5):471-478.]
[41]	Liu Quanyi, Zhan Qingming, Li Jiansong, et al. Extracting built-up areas using Luojia-1A nighttime light imageries in Wuhan, China. Geomatics and Information Science of Wuhan University, 2021, 46(1):30-39.
	[ 刘权毅, 詹庆明, 李建松, 等. 珞珈一号夜间灯光影像在建设用地提取中的应用: 以武汉市为例. 武汉大学学报(信息科学版), 2021, 46(1):30-39.]
[42]	Li Deren, Li Xi. An overview on data mining of nighttime light remote sensing. Acta Geodaetica et Cartographica Sinica, 2015, 44(6):591-601.
	[ 李德仁, 李熙. 论夜光遥感数据挖掘. 测绘学报, 2015, 44(6):591-601.]
[43]	Chen Mingli. Theoretical basis for the framework on the population, resources and environmental economics discipline. Population and Development, 2010, 16(2):58-66.
	[ 陈明立. 论人口、资源与环境经济学学科构架的理论基础. 人口与发展, 2010, 16(2):58-66.]

数据类型	数据名称	来源
遥感数据	土地利用	Globeland 30
	数字高程	地理空间数据云
	归一化植被指数NDVI	Landsat 8遥感影像
	夜间灯光遥感影像	珞珈一号01卫星数据
	MODIS气溶胶光学厚度产品	NASA戈达德航天中心数据系统
土壤数据	土壤类型、土壤有机质含量	国家地球科学系统数据服务中心
气象数据	降水量、蒸发量、无霜期、太阳辐射	国家气象科学数据中心
地质数据	1∶10万县市地质调查数据库	中国地质环境监测院
统计数据	《武汉市统计年鉴2018》	武汉市统计局
	《武汉市卫生统计年鉴2018》	武汉市卫生健康委员会
	《武汉市水资源公报2018》	武汉市水务局
	人口	天地图·武汉/武汉市统计局
多源时空数据	兴趣点POI	高德地图API
	历史交通态势	OpenStreetMap/高德地图API
	社交媒体	中新网、新浪微博

目标层	准则层	指标层
生态系统服务供给(ES)	生态服务功能	水源涵养能力
		防风固沙能力
		洪水调蓄能力
	水土保持功能	土壤保水性
		土壤有机质含量
		植被指数NDVI
生态系统风险(ED)	生态敏感性	土壤侵蚀敏感性
生态系统风险(ED)	生态敏感性	酸雨敏感性
生境质量(EQ)	生物丰度	生物多样性指数

目标层	准则层	指标层
农业生产韧性(TA)	耕地生产条件	光合生产力
		光温生产力
		气候生产力
	农业发展潜力	农业投入
	农业发展潜力	农业产值比重
经济发展韧性(TI)	经济发展潜力	企事业单位分布密度
		第三产业比重
		高新产业比重
	城市化水平	人口城镇化率
	城市化水平	夜间灯光亮度
文化资源韧性(TC)	科技教育水平	科教资源分布密度
	旅游吸引力	旅游资源分布密度
	城市养老保障	养老服务能力
公共服务设施可达性(PA)	医疗服务	医疗保障可达性
	出行服务	交通设施可达性
	餐饮服务	餐饮酒店可达性
	住宿服务	住宿服务可达性
	文体娱乐	文体设施可达性
	休憩服务	公园绿地可达性

目标层	准则层	指标层
资源环境禀赋限制性(R)	土地资源限制性	人均耕地面积
	土地资源限制性	地形起伏度
	水资源限制性	人均水资源占有量
	地质灾害限制性	地质灾害风险
	洪涝灾害限制性	洪涝灾害风险
人类活动对环境影响的限制性(I)	大气环境限制性	大气污染物年均浓度
	水环境限制性	COD环境容量
	水环境限制性	氨氮环境容量
	交通状况限制性	道路拥堵指数
	人口规模限制性	人口密度

维度	隐性承载力	韧性承载力	显性承载力
Moran's I	0.73	0.67	0.45
P值	0.00	0.00	0.00
Z值	15.31	14.01	9.44

Analyzing spatial characteristics of urban resource and environment carrying capacity based on Covert-Resilient-Overt:A case study of Wuhan city

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[8]	Ren YANG. An analysis of rural settlement patterns and their effect mechanisms based on road traffic accessibility of Guangdong [J]. Acta Geographica Sinica, 2017, 72(10): 1859-1871.
[9]	Tian HU, Zhengshan JU, Wei ZHOU. Regional pattern of grain supply and demand in China [J]. Acta Geographica Sinica, 2016, 71(8): 1372-1383.
[10]	CHENG Yeqing, WANG Zheye, ZHANG Shouzhi, YE Xinyue, JIANG Huiming. Spatial econometric analysis of carbon emission intensity and its driving factors from energy consumption in China [J]. Acta Geographica Sinica, 2013, 68(10): 1418-1431.
[11]	CHEN Yangfen, LIU Yansui, YANG Ren. Identification of China's Suitable Regions for Rural Residential Land Consolidation Based on Livelihoods Transformation [J]. Acta Geographica Sinica, 2012, 67(3): 420-427.
[12]	FU Qiang, ZHU Yunqiang, SUN Jiulin, KONG Yunfeng. Spatial Patterns and Gravity Centers Curve of Livestock and Poultry Breeding in China [J]. Acta Geographica Sinica, 2012, 67(10): 1383-1398.
[13]	CHEN Jiangping, ZHANG Yao, YU Yuanjian. Effect of MAUP in Spatial Autocorrelation [J]. Acta Geographica Sinica, 2011, 66(12): 1597-1606.
[14]	HONG Guozhi, HU Huaying, LI Xun. Analysis of Regional Growth Convergence with Spatial Econometrics in China [J]. Acta Geographica Sinica, 2010, 65(12): 1548-1558.
[15]	WU Guiping, ZENG Yongnian, ZOU Bin, QI Qingchao, YANG Song. Simulation on Spatial Land Use Patterns Using AutoLogistic Method: A Case Study of Yongding County, Zhangjiajie [J]. Acta Geographica Sinica, 2008, 63(2): 156-164.