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1980—2017年四川省气候变化综合区划
引用本文:刘伟,车康利,罗斯元,刘莎,贾植杰,李逢港.1980—2017年四川省气候变化综合区划[J].气象科学,2022,42(1):108-115.
作者姓名:刘伟  车康利  罗斯元  刘莎  贾植杰  李逢港
作者单位:成都信息工程大学 资源环境学院, 成都 610225
基金项目:国家自然科学基金面上资助项目(41771535);联合国环境署—同济大学环境与可持续发展学院委托课题:气候适应型城市综合评估与发展模式研究
摘    要:基于四川省1980—2017年主要气象要素观测资料,运用ArcGIS空间分析法,分别探讨了气温、降水量和极端气候指数的年际空间变化特征;同时建立极端气候指标体系,结合熵权法、模糊综合评价法开展综合极端气候指数区划,最终完成1980—2017年四川省气候变化综合区划。研究表明:1980—2017年四川省极端气候事件的发生率呈上升趋势,从区域分布上大致表现为东高西低;根据四川省气温和降水量变化速率区划、综合极端气候指数区划,将四川省划分为6个气候变化区,其中,川东北地区综合气候变化速率最快。

关 键 词:气候变化  综合区划  极端气候  模糊综合评价  四川省
收稿时间:2020/2/25 0:00:00
修稿时间:2020/3/23 0:00:00

Comprehensive division of climate change in Sichuan Province from 1980 to 2017
LIU Wei,CHE Kangli,LUO Siyuan,LIU Sh,JIA Zhijie,LI Fenggang.Comprehensive division of climate change in Sichuan Province from 1980 to 2017[J].Scientia Meteorologica Sinica,2022,42(1):108-115.
Authors:LIU Wei  CHE Kangli  LUO Siyuan  LIU Sh  JIA Zhijie  LI Fenggang
Institution:School of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China
Abstract:Based on the observations of major meteorological elements in Sichuan Province from 1980 to 2017, the spatial analysis method of ArcGIS was used to discuss the inter-annual spatial changes of temperature, precipitation, and extreme climate index separately. At the same time, an extreme climate index system was established to carried out comprehensive extreme climate index zoning through combining Entropy weight method and fuzzy comprehensive evaluation method. Finally, the Sichuan Province''s comprehensive climate change zoning from 1980 to 2017 was completed. Results show that the incidence of extreme climate events in Sichuan Province presents increasing trend from 1980 to 2017, and the regional distribution is generally high in the east and low in the west. According to the regionalization of temperature and precipitation change rate and comprehensive extreme climate index, Sichuan Province is divided into six climate change regions. Among them, the northeast Sichuan region has the fastest comprehensive climate change rate, mainly including Nanchong, Guangyuan, Guang''an, Bazhong, Dazhou, and Suining.
Keywords:climate change  comprehensive zoning  extreme climate  fuzzy comprehensive evaluation  Sichuan Province
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