林业病虫害气象服务系统的创新设计与应用  

Innovative design and its application on the meteorology serving system for pest forecast and warning

作　　者：秦江林[1] 符合[1] 杨秀好 杨忠武 罗同基 雷秀峰 Qin Jianglin Fu He Yang Xiuhao Yang Zhongwu Luo Tongji Lei Xiufeng(Guangxi Institute of Meteorological Disaster-Reducing Research, Nanning 530022 X-H. Department of Guangxi Forestry Pest Management, Bureau of Guangxi Forestry, Nanning 530029 Guangxi Guilin Forest Pest Management Station,Guilin,540000 Guangxi Nanning Forest Pest Management Station, Nanning 530022)

机构地区：[1]广西气象减灾研究所,南宁530022 [2]广西区林业有害生物防治检疫站,南宁530029 [3]桂林市森林病虫害防治站,广西桂林540000 [4]南宁市森林病虫害防治站,南宁530022

出　　处：《气象研究与应用》2017年第2期57-60,共4页Journal of Meteorological Research and Application

基　　金：广西壮族自治区科技厅"科技攻关计划"项目(桂科攻1355010-5);广西重大科研开发项目(桂科鉴字[2014]323)

摘　　要：基于广西林业有害生物335.3425万个小班数(覆盖95个县市),及其相关的174余个属性值,构建了林业病虫害气象条件分析预测模式,为林业有害生物灾害小班精细化管理和智慧林业管理模式提供了科学依据。Weather conditions, e.g. near surface air temperature, quantity of rainfall, are major controllable factors of forestry insect pest development or prevalence. It is important significance of that to strengthen the monitoring and prediction of forestry pest development or prevalence, and to enhance scientificity , accuracy, guiding of the monitoring and prediction of forestry pest development or prevalence, by using GIS spatial analysis technique to study the relation between the region of the forestry pest development and/or prevalence and near surface air temperature, quantity of rainfall. The current study had structured new techniques of analyzing forestry insect pest developing weather conditions based on 3,353,425 small piece of polygon datasets and 160 attribute values of its interrelating, covering 95counties.

关 键 词：林业虫害及其精细化管理 空间差异 时间差异 小班数据 气象 遥感 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]