地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (12): 1820-1829.doi: 10.12082/dqxxkx.2018.180295.

• 遥感科学与应用技术 • 上一篇    下一篇

福建省高温热浪风险评估与空间分异研究

金星星1(), 祁新华2,*(), 陆玉麒1, 叶士琳2, 王毅3   

  1. 1. 南京师范大学地理科学学院,南京 210023
    2. 福建师范大学地理科学学院,福州 350007
    3. 南京理工大学经济管理学院,南京 210094
  • 收稿日期:2018-06-22 出版日期:2018-12-25 发布日期:2018-12-20
  • 通讯作者: 祁新华 E-mail:xxjin91@126.com;fjqxh74@163.com
  • 作者简介:

    作者简介:金星星(1991-),女,福建霞浦人,博士生,研究方向为经济地理与空间规划。E-mail: xxjin91@126.com

  • 基金资助:
    国家重点研发计划项目(2016YFC0502900);国家自然科学基金重点项目(41430635);教育部人文社会科学项目(14YJCZH112);福建省科技厅公益类项目(K3-360)

Evaluation and Spatial Differentiation of Heat Waves Risk of Fujian Province

JIN Xingxing1(), QI Xinhua2,*(), LU Yuqi1, YE Shilin2, WANG Yi3   

  1. 1. College of Geography Science, Nanjing Normal University, Nanjing 210023, China
    2. School of Geographical Science, Fujian Normal University, Fuzhou 350007, China
    3. School of Ecnomics and Management,Nanjng University of Science and Technology, Nanjing 210094, China
  • Received:2018-06-22 Online:2018-12-25 Published:2018-12-20
  • Contact: QI Xinhua E-mail:xxjin91@126.com;fjqxh74@163.com
  • Supported by:
    National Key Research and Development Program of China, No.2016YFC0502900;National Natural Science Key Foundation of China, No.41430635;Humanities and Social Sciences Program from Ministry of Education of China, No.14YJCZH112;Science and Technology Department Public Welfare Program of Fujian, No.K3-360.

摘要:

作为气候变化风险问题之一,高温热浪已引起各国政府与学术界的普遍关注。基于VSD (The Vulnerability Scoping Diagram)模型,文章构建了高温热浪风险评价指标体系,同时引入空间关联指数,探讨了福建省高温热浪风险时空分异特征、热点区演化以及类型划分。结果表明:① 2000-2015年,福建省高温热浪风险水平整体呈下降趋势,且不同城市间风险等级转化明显;② 高温热浪风险空间为跳跃变化的“圈层”结构,风险指数呈由中心向外围 “低-高-低”变化;③ 高温热浪风险的空间集聚程度整体趋于减小,热点区呈收缩态势并由“多核心”演变为“双核心”结构,冷点区则稳定分布于闽东北的宁德地区;④ 福建省高温热浪风险划分为5大类型,即省会-副省级高风险区、市辖区次高风险区、河谷中风险区、沿海平原次低风险区以及闽东-内陆山区低风险区。研究结果能够为未来福建省高温热浪风险格局演变提供预判依据,并为风险管理和合理布局公共服务设施提供决策参考。

关键词: 高温热浪风险, 评估, 空间分异, 类型划分, 福建省

Abstract:

As one of the climate change risk which profoundly affected the natural environment and human society, heat waves has aroused increasing attentions all around the world. Based on VSD (The Vulnerability Scoping Diagram), the evaluation index system of t heat waves risk is constructed. With the method of exploratory spatial data analysis, the spatial-temporal characteristic, hot spots evolution and spatial differentiation of heat waves risk in Fujian Province from 2000 to 2015 are carefully examined. The results show that: ① The index of heat waves risk is decreasing in Fujian Province, at the same time, the internal transitions among different risk levels are obvious . ② The spatial distribution of heat waves risk in Fujian Province has the “layer structure”, and the risk index varies from central to peripheral areas as characteristic of “low-high-low”. ③ The spatial agglomeration degree of heat waves risk decreases. The hot spots presents a tendency of shrinking, from “multi-core” to “dual core”, while the cold spots presents a tendency of stabilizing in the northeast. ④ The heat waves risk in Fujian Province can be divided into 5 types, including high risk area of capital-deputy provincial area, sub-high risk area of prefecture-level city district, medium risk area of river valley, sub-low risk area of coastal plain, and low risk area of eastern-inland mountainous area. This result is the prejudgment of spatial evolvement of heat waves risk of Fujian Province in the future. It also can provide references for risk management and public service facilities .

Key words: heat waves risk, evaluation, spatial differentiation, type classification, Fujian Province