中国农业气象 ›› 2012, Vol. 33 ›› Issue (01): 93-97.doi: 10.3969/j.issn.1000-6362.2012.01.014

• 论文 • 上一篇    下一篇

基于GIS的贵州西部春薯种植气候适宜性精细化区划

池再香,莫建国,康学良,谷晓平,肖钧   

  1. 1 贵州省六盘水市气象局,六盘水 553001;2 贵州省山地气候与资源重点实验室,贵阳 550002;3 贵州省山地环境气候研究所,贵阳 550002;4贵州省六盘水市农业委员会,六盘水 553001
  • 收稿日期:2011-07-11 出版日期:2012-02-20 发布日期:2012-02-09
  • 作者简介:池再香(1964-),女,侗族,贵州天柱人,学士,高级工程师,主要研究方向为中短期天气预报服务和相关科研工作。〖JP〗 Email:qxxf_850@163.com
  • 基金资助:

    中国气象局气象科技扶贫项目(CMATG2009FP08);贵州省气象局开放型基金项目(黔气科合KF\[2008\]01号);省地科技合作协议马铃薯专项(52020-2009-01-01)

Regionalization of the Climate Suitability on Spring Potato Planting in Western Guizhou Based on GIS

 CHI  Zai-Xiang, MO  Jian-Guo, KANG  Xue-Liang, GU  Xiao-Ping, XIAO  Jun   

  1. 1Liupanshui Meteorological Bureau, Liupanshui 553001, China; 2Guizhou Key Lab of Mountainous Climateand Resources, Guiyang 550002; 3Guizhou Institute of Mountainous Area Environment & Climate,Guiyang 550002; 4Liupanshui Agricultural Committee, Liupanshui 553001
  • Received:2011-07-11 Online:2012-02-20 Published:2012-02-09

摘要: 以贵州西部地区15个气象观测站1978-2010年的气候资料为基础,采用地理信息系统(GIS)技术,对春薯进行气候适宜性区划,为贵州春薯生产安全布局、品种调整提供科学依据。通过分析马铃薯平均气象产量与同期气候因子的关系,得出春薯的气候适宜性区划指标有8个:海拔高度、生育期平均气温、>10℃活动积温、降水量、日照时数以及7月平均气温、7-8月昼夜平均温差、5-7月降水量,每个指标分3级,对应最适宜、适宜和次适宜。通过对各站点的气候资料及其对应的经度、纬度、海拔高度、坡度和坡向等基础信息数据,应用多元线性回归方法,建立区划指标的空间分析模式。依托GIS技术空间分析功能,运用模式进行网格距为100m×100m以及精确到贵州西部地区乡(镇)的精细化气候区划,得到春薯最适宜区占贵州西部面积的52%,适宜区占45%,次适宜区占3%。

关键词: GIS, 气候适宜性, 区划, 春薯, 贵州西部

Abstract: Based on observed meteorological data of 15 stations in west of Guizhou province from 1978 to 2010, by using of GIS technology, the climatic division for spring potato was developed. The results showed that 8 indices to climatic division for spring potato existed. They were altitude, average temperature and  active accumulated temperature above 10℃and precipitation and sunshine hours in growth stage, average temperature in July, the average temperature difference between day and night from July to August and precipitation from May to July. Division was under grid interval of 100m×100m, and got 52% most suitable area, 45% suitable area and 3% subsuitable area in west Guizhou province.

Key words: GIS, Climate suitability, Regionalization, Spring potato, Western Guizhou