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茶叶科学 ›› 2016, Vol. 36 ›› Issue (3): 330-336.doi: 10.13305/j.cnki.jts.2016.03.013

• • 上一篇    

河南省茶树适宜种植气候区划研究

赵辉1,2, 米鸿涛3, 杜子璇1,4,*, 金开美5   

  1. 1. 中国气象局·河南省农业气象保障与应用技术重点实验室,河南 郑州 450003;;
    2. 信阳市农业气象试验站,河南 信阳 464000;
    3. 信阳市气象局,河南 信阳 464000;
    4. 河南省气象科学研究所,河南 郑州 450003;
    5. 河南省茶叶工程技术研究中心,河南 信阳 464000
  • 收稿日期:2015-12-21 出版日期:2016-06-15 发布日期:2019-08-23
  • 通讯作者: *,dzxbutry@163.com
  • 作者简介:赵辉,男,高级工程师,主要从事农业气象方面的研究,E-mail:pqqxj6868@126.com。
  • 基金资助:
    中国气象局·河南省农业气象保障与应用技术重点实验室开放科研基金项目(AMF201306)

Study on the Climate Regionalization of Tea Plant in Henan Province

ZHAO Hui1,2, MI Hongtao3, DU Zixuan1,4,*, JIN Kaimei5   

  1. 1. CMA·Henan Key Laboratory of Agro-meteorological Support and Applied Technique, Zhengzhou 450003, China;
    2. Xinyang Agro-meteorological Experimental Station, Xinyang 464000, China;
    3. Xinyang city bureau of meteorology, Xinyang 464000, China;
    4. Henan Institute of Meteorological Sciences, Zhengzhou 450003, China;
    5. Henan tea Engineering Technology Research Center, Xinyang 464000, China
  • Received:2015-12-21 Online:2016-06-15 Published:2019-08-23

摘要: 利用河南省119个气象台站1971~2010年气候资料,结合茶树生物学特性,筛选出影响茶树生长发育和产量形成的关键气候因子,并进行相关性检验,把通过检验的因子作为气候区划指标。运用层次分析法构造各区划指标的判断矩阵,并对判断矩阵的一致性进行检验,确定各区划指标的权重。采用加权指数求和法计算出河南省茶树种植综合区划指数,在GIS平台的支持下实现精度为250 m细网格的气候适宜性区划,将河南省茶树种植区分为适宜、次适宜和不适宜3个等级,其中适宜种植面积占评价区域的11.8%,次适宜种植面积占28.8%,不适宜种植面积占59.4%。将区划结果与茶树实际种植情况进行对比验证,发现两者吻合度较高,说明区划结果能够较客观真实地反映河南省茶树种植状况,该研究结果有望为河南省茶树种植科学布局提供依据。

关键词: 层次分析法, 加权指数求和法, 茶树气候区划, 结果验证

Abstract: Based on the climate data of 119 meteorological stations from 1971 to 2010 in Henan Province and the biological characteristics of tea plants, the key meteorological factors affecting the growth and yield of tea plants were identified. The correlation coefficients between the meteorological factors and the yield were calculated and the significant correlation factors were selected as the climatic zoning indexes. By using of Analytic Hierarchy Process (AHP) to construct the judgment matrix of each index and test the consistency of the judgment matrix, the weight of each index was determined. Using the weighted mean method to calculate the comprehensive regionalization index of tea planting in Henan Province, the climate suitability regionalization with a fine mesh accuracy of 250 m was achieved based on the GIS platform. The area was divided into 3 grades: suitable, sub-suitable and unsuitable. The suitable, sub-suitable and unsuitable areas accounted for 11.8%, 28.8% and 59.4% of the total evaluation area, which were coincident with the actual tea planting situation in Henan province. The results provided a basis for scientific layout of tea planting in Henan province.

Key words: analytic hierarchy process, weighted index sum method, climatic suitability regionalization, result verification

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