引用本文:谭孟祥, 何燕, 王莹, 黄荣成, 欧钊荣.基于MeteoGIS的广西早稻高温热害精细化区划[J].西南大学学报(自然科学版),2019,41(8):27~32
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基于MeteoGIS的广西早稻高温热害精细化区划
谭孟祥, 何燕, 王莹, 黄荣成, 欧钊荣1,2
1. 广西气象科学研究所, 南宁 530022;2. 广西区气象台, 南宁 530022
摘要:
利用广西89个气象站1961-2016年气象观测资料和广西1:5万基础地理信息数据,采用MeteoGIS技术和气候资源细网格模拟分析方法,结合广西早稻实际生产情况,建立了广西早稻高温热害的空间模拟分析模型,运用反距离权重插值法对高温热害区划指标因子进行100 m×100 m细网格模拟推算和残差订正,并综合考虑高温热害区划指标等级,对广西早稻高温热害发生分布进行了精细化区划.将广西早稻区分为基本无高温热害区、轻度高温热害区、中度高温热害区、较重高温热害区和严重高温热害区5个区域,分区结果符合广西早稻高温热害实际情况,为水稻生产的趋利避害、优化布局和科学防灾减灾提供科学依据.
关键词:  早稻  高温热害  灾害区划  MeteoGIS技术
DOI:10.13718/j.cnki.xdzk.2019.08.005
分类号:S16
基金项目:广西科技重点研发计划项目(桂科AB17195037);科技部国家农业科技成果转化项目(2014GB2E100281).
Fine Regionalization of the Heat Injury of Early Rice in Guangxi Based on MeteoGIS
TAN Meng-xiang, HE Yan, WANG Ying, HUANG Rong-cheng, OU Zhao-rong1,2
1. Guangxi Meteorological Science Institute, Nanning 530022, China;2. Guangxi Meteorological Station, Nanning 530022, China
Abstract:
In order to provide scientific evidences for optimizing rice cultivation structure and preventing and mitigating disaster-caused losses, a spatial analyzing model of high temperature heat injury of early rice in Guangxi was established, using the technology of MeteoGIS and fine-grid simulation of climate resources, based on the meteorological data of 89 meteorological observatories in Guangxi during 1961-2016 and the Guangxi fundamental geographic data on the scale of 1:50 000. The method of inverse distance weighting was used to calculate the index factors of heat injury and revise their residual differences by 100 m×100 m fine grids. Taking into consideration the results and the indicator system of high temperature heat injury, a fine regionalization of the distribution of the heat injury of early rice in Guangxi was made, in which five zones were identified:none-disaster zone, light disaster zone, moderate disaster zone, heavy disaster zone and serious heavy disaster zone. The above results were well consistent with the actual situations in early rice-growing regions in Guangxi.
Key words:  early rice  high temperature heat injury  disaster regionalization  technology of MeteoGIS
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