Assessment on Climatic Carrying Capacity in the Process of New Urbanization:A Case Study in the Wanjiang City Belt

doi:10.12006/j.issn.1673-1719.2017.104

Abstract

Abstract:

According to the interaction between climate and human activities as well as the double attributes of climate, a comprehensive framework and indices system of climatic carrying capacity were established to support the new urbanization. In this framework, the factors concerning climatic resource supplying, climatic disaster constraining, and urban coordinated development were included and quantified by using various methods such as entropy weight, coupled coordination model, and GIS technology. The comprehensive indices were then adopted in Wanjiang city belt to analyze the spatial pattern and key factors of climatic carrying capacity. Results indicated that the spatial pattern of urbanization development was well matching the climatic carrying capacity. The areas where have relative high climatic carrying capacity are also dominated by high urbanization agglomeration. However, the climatic carrying capacity show large spatial variability, and needs to be further optimized at the whole regional scale. Based on the characteristics of urbanization agglomeration and climatic carrying capacity, Wanjiang city belt could be divided into 4 grades and 12 types of areas. For different areas dominated by different types of climatic carrying capacity, the "short board" and main limiting factors are further revealed in this paper.

Key words: climatic carrying capacity, integrated indices, double attributes, coupled coordination, agglomeration

Lu Yanyu, Tian Hong, Sun Wei, Wu Rong, Wang Sheng. Assessment on Climatic Carrying Capacity in the Process of New Urbanization:A Case Study in the Wanjiang City Belt[J]. Climate Change Research, 2017, 13(6): 534-544.

References

[1] PCC. Climate change 2013:the physical science basis[M]. Cambridge:Cambridge University Press, 2013
[2] 仇保兴. 中国的新型城镇化之路[J]. 中国发展观察, 2010(4):56-58
[3] 张占斌. 新型城镇化的战略意义和改革难题[J]. 国家行政学院学报, 2013(1):48-54
[4] 彭红碧, 杨峰. 新型城镇化道路的科学内涵[J]. 理论探索, 2010(4):75-78
[5] 方创琳. 中国城市群研究取得的重要进展与未来发展方向[J]. 地理学报, 2014, 69(8):1130-1144
[6] 潘家华, 郑艳, 王建武, 等. 气候容量:适应气候变化的测度指标[J]. 中国人口·资源与环境, 2014, 24(2):1-8
[7] 李华姣, 安海忠. 国内外资源环境承载力模型和评价方法综述:基于内容分析法[J]. 中国国土资源经济, 2013(8):65-68
[8] 於琍, 卢燕宇, 黄玮, 等. 气候承载力评估的意义及基本方法[M]//王伟光, 郑国光, 巢清尘, 等. 应对气候变化报告(2015). 北京:社会科学文献出版社, 2015:268-280
[9] 卢燕宇, 王胜, 田红, 等. 近50年安徽省气候生产潜力演变及粮食安全气候承载力评估[J]. 长江流域资源与环境, 2017, 26(3):428-435
[10] Alberti M, Advances in urban ecology:integrating humans and ecological processes in urban ecosystems[M]. New York:Springer, 2008
[11] 丁丽. 试述FDI在安徽省新型城镇化进程中的作用[D]. 安徽:安徽大学, 2013
[12] 石磊, 王胜, 盛绍学. 近50年安徽省气候年景评估方法[J]. 地理研究, 2012, 31(9):1580-1588
[13] 谷家川, 彭丰, 沈非, 等. 基于CASA模型的皖江城市带植被净初级生产力时空变化特征研究[J]. 安徽师范大学学报:自然科学版, 2014, 37(4):371-377
[14] 孙瑾, 缪旭明, 薛建军. 新型城镇化进程中需加强气象灾害防御能力建设[J]. 中国应急管理, 2014(5):44-47
[15] 张宇, 曹卫东, 梁双波, 等. 长江经济带城镇化协同演化时空格局研究[J]. 长江流域资源与环境, 2016, 25(5):715-724
[16] 封志明, 杨艳昭, 游珍, 等. 基于分县尺度的中国人口分布适宜度研究[J]. 地理学报, 2014, 69(6):723-737
[17] 陶云, 何华, 何群, 等. 1961-2006年云南可利用降水量演变特征[J]. 气候变化研究进展, 2010, 6(1):8-14
[18] 徐大海, 王郁. 确定大气环境承载力的烟云足迹法[J]. 环境科学学报, 2013, 33(6):1734-1740
[19] 安徽省气象局. 安徽省气象灾害年鉴[M]. 北京:气象出版社, 2009
[20] 张继权, 李宁. 主要气象灾害风险评价与管理的数量化方法及其应用[M]. 北京:北京师范大学出版社, 2007:264-293
[21] 杨忍, 刘彦随, 龙花楼. 中国环渤海地区人口﹣土地﹣产业非农化转型协同演化特征[J]. 地理研究, 2015, 34(3):475-486
[22] Reuter H I, Nelson A, Jarvis A. An evaluation of void filling interpolation methods for SRTM data[J]. International Journal of Geographic Information Science, 2007, 21(9):983-1008
[23] Loveland T R, Reed B C, Brown J F, et al. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data[J]. International Journal of Remote Sensing, 2000, 21(6-7):1303-1330
[24] 闫胜军, 何霄嘉, 王烜, 等. 城市气候承载力定量化评价方法初探[J]. 气候变化研究进展, 2016, 12(6):476-483
[25] 陶寅, 黄勇, 杨元建, 等. 城市化进程对安徽省风速的影响[J]. 气候变化研究进展, 2016, 12(6):519-526
[26] 程向阳, 谢五三, 王凯, 等. 雷电灾害风险区划方法研究及其在安徽省的应用[J]. 气象科学, 2012, 32(1):80-85
[27] 赵雪雁, 江进德, 张丽, 等. 皖江城市带城市经济联系与中心城市辐射范围分析[J]. 经济地理, 2011, 31(2):218-223