中国农业气象

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基于GIS的甘肃省纹党种植的气候区划

尹东;尹虹;张旭东;   

  1. 兰州中心气象台;兰州市第一人民医院;兰州区域气候中心;
  • 出版日期:2011-04-10 发布日期:2011-04-10
  • 基金资助:
    甘肃省科技攻关计划项目(GS022-A45-149)

Climate Regionalization of Wen Radix Codonopsis Planting Based on GIS in Gansu Province

YIN Dong1,YIN Hong2,ZHANG Xu-dong3(1.Lanzhou Central Meteorological Observatory,Lanzhou 730020,China;2.First People's Hospital of Lanzhou City,Lanzhou 730050;3.Lanzhou Regional Climatic Center,Lanzhou 730020)   

  • Online:2011-04-10 Published:2011-04-10

摘要: 根据纹党生长所需的气候条件,选取≥0℃积温、最热月平均气温、干燥度、年日照时数4项气候要素作为甘肃省纹党种植的气候区划指标。按照气候分区,分别建立区划指标的空间分析模型,对区划指标按照100m×100m的细网格点进行推算。用GIS软件制作完成细网格的甘肃省纹党种植气候区划,划分出最适宜、适宜和不适宜种植区。区划结果表明,甘肃省陇南山区的文县、武都、宕昌、舟曲的大部分地区,礼县、西和的部分地区,成县、康县的少部分地区,是纹党种植的最适宜或适宜气候区,是发展纹党生产潜力最大的区域。

关键词: 甘肃省, 纹党, GIS, 气候区划

Abstract: According to the climatic condition of the Wen Radix Codonopsis growing,four climatic factors including the≥0℃accumulated temperature,the average temperature of the hottest month in a year,the aridity and the annual sunshine duration were selected as the indices to classify climate regionalization of Wen Radix Codonopsis planting in Gansu province,China.The spatial analyzing models of the these indices were constructed in different climate regionalization,respectively.And the regionalization indices in 100m×100m fine-grid were calculated.The fine-grid climate regionalization of Wen Radix Codonopsis planting in Gansu province was carried out by using ArcView9.2 with GIS technology.The optimum planting area,the suitable planting area and the unsuitable area for Wen Radix Codonopsis planting were classified.The results showed that the optimum planting areas and the suitable planting areas in Longnan mountainous areas of Gansu province were located in the most part of Wen county,Wudu county,Tanchang county and Zhouqu county,the part of Li county and Xihe county,and a small part of Cheng county and Kang county.These are also regions with the greatest potential to develop its production.

Key words: Gansu province, Gansu province, Wen Radix Codonopsis, GIS, Climate regionalization