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中国农学通报 ›› 2020, Vol. 36 ›› Issue (29): 126-131.doi: 10.11924/j.issn.1000-6850.casb20190800579

所属专题: 农业气象

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

山西春季旱情时空分布特征

贺鹏(), 徐立帅(), 毕如田, 赵庆康   

  1. 山西农业大学资源环境学院,山西太谷 030801
  • 收稿日期:2019-08-28 修回日期:2019-10-22 出版日期:2020-10-15 发布日期:2020-10-16
  • 通讯作者: 徐立帅
  • 作者简介:贺鹏,男,1989年出生,山西太原人,讲师,硕士,研究方向:定量遥感。通信地址:030801山西省晋中市太谷县 山西农业大学,E-mail:hepeng7777@126.com
  • 基金资助:
    国土资源部公益性行业项目“北方村庄压煤山丘区土地综合整治技术研究”(201411007);山西省青年科技研究基金“植物叶片的分选性滞尘作用研究”(201801D221043);山西农业大学科技创新基金“土壤和冬小麦水分胁迫信息的动态模拟”(2017022);山西农业大学科技创新基金“太谷县大气降尘重金属污染及生态风险评价”(2016YJ16)

Spatial and Temporal Characteristics of Spring Droughts in Shanxi

He Peng(), Xu Lishuai(), Bi Rutian, Zhao Qingkang   

  1. College of Resources and Environment, Shanxi Agricultural University, Taigu Shanxi 030801
  • Received:2019-08-28 Revised:2019-10-22 Online:2020-10-15 Published:2020-10-16
  • Contact: Xu Lishuai

摘要:

基于2007—2018年春季TVDI干旱监测结果,利用趋势分析、偏度系数以及结构相似度分析方法,探讨山西省春季旱情时空分布特征及影响因子。结果表明:(1)受到水资源(降水、地表水、地下水)分布差异的影响,2007—2018年山西省春季西南地区TVDI呈减少趋势,春旱发生概率减小,东北地区TVDI增加趋势明显,旱情趋于严重;(2)2007—2018年TVDI偏度系数分布在-1~-1.7,与累积降水量呈负相关。同时作物在不同生育时期对水分胁迫敏感程度存在差异,非水分胁迫敏感期内的集中降水无法有效缓解作物因水分胁迫敏感时期缺水而造成的干旱;(3)在空间上,地形起伏程度越大且土壤类型(通气孔隙度和保水性)差异性越显著,TVDI结构相似度越小,空间差异性越大,反之则越小。

关键词: 春旱, 温度植被干旱指数, 趋势分析, 偏度系数, 结构相似度, 形态参数

Abstract:

Based on the drought monitoring results of TVDI in spring from 2007 to 2018, the spatial and temporal characteristics of spring droughts in Shanxi Province and the influencing factors were analyzed by trend analysis, skewness coefficient and structural similarity. The results showed that (1) affected by the spatial distribution of water resources (precipitation, surface water and ground water), the trend of TVDI decreased in southwest Shanxi from 2007 to 2018, which indicated that the probability of spring drought decreased, the trend of TVDI increased in northeast Shanxi and spring drought became serious; (2) the skewness coefficient of TVDI varied from -1 to -1.7 from 2007 to 2018 and was negatively correlated to cumulative precipitation on the time scale, moreover, precipitation at non water stress sensitive stages could not alleviate the drought caused by water shortage at the water stress sensitive stages, as the sensitivity of water stress was different at different growth stages; (3) with the increase of terrain complexity and the difference in soil types (ventilation porosity and water retention capacity), the SSIM of TVDI decreased, which indicated that the spatial difference increased, and vice versa.

Key words: spring drought, temperature vegetation dryness index, trend analysis, skewness coefficient, structural similarity, morphological parameters

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