地理科学

地理科学 ›› 2015, Vol. 35 ›› Issue (3): 334-339.doi: 10.13249/j.cnki.sgs.2015.03.334

• 论文 • 上一篇    下一篇

利用微波遥感土壤水分产品监测东北地区春涝范围和程度

郑兴明1,2, 赵凯1,2, 李晓峰1,2, 丁艳玲1   

  1. 1. 中国科学院东北地理与农业生态研究所, 吉林长春131012;
    2. 中国科学院净月潭遥感实验站, 吉林长春131012
  • 收稿日期:2014-02-20 修回日期:2014-07-11 出版日期:2015-03-20 发布日期:2015-03-20
  • 通讯作者: 赵凯,研究员。E-mail:zhaokai@iga.ac.cn E-mail:zhaokai@iga.ac.cn
  • 作者简介:郑兴明(1984-),男,四川中江人,博士,助理研究员,主要研究方向为微波遥感土壤水分反演和区域土壤水分变化研究。E-mail:zxm984913@163.com
  • 基金资助:

    国家自然科学青年基金(42001201,41301369)、863 专题(2012AA120905)项目资助。

Moisture Derived from Microwave Remote Sensing in Northeast China

ZHENG Xing-ming1,2, ZHAO Kai1,2, LI Xiao-feng1,2, DING Yan-ling1   

  1. 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China;
    2. Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, Changchun, Jilin 130102, China
  • Received:2014-02-20 Revised:2014-07-11 Online:2015-03-20 Published:2015-03-20

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被引次数

11 | 2

摘要：

地表土壤水分是判断农田涝害的直接数据源,以欧洲太空局1978~2010 年微波遥感土壤水分产品、2013 年SMOS MIRAS L3 级土壤水分产品和气象站点的月降水数据为基础,结合土壤水分距平指数和土壤水分异常指数,分析2013 年东北地区春涝影响范围和严重程度。结果表明:① 东北地区以黑龙江省受涝面积最大,约11 万km2,约占黑龙江省总面积的1/4;② 比较多年的月降水数据与涝灾程度,发现冬春季节强降水是引发春涝的主要原因之一;③ 春涝的严重程度与高程呈现负相关关系,涝灾区域多集中在高程500 m以下。

关键词: 西部地区, 生态环境, 生态环境建设, 科学问题, 生态安全体系, 可持续发展, 对策建议, 春涝, 微波遥感, 土壤水分, 土壤水分异常

Abstract:

Waterlogging is a common natural disaster which may delay sowing time of crops. The identification of the waterlogging before sowing crop is conducive for constructing prevention facilities and reducing losses. Land surface soil moisture is the most direct data for monitoring farmland waterlogging. Soil moisture product from satellite remote sensing data with near real-time and large coverage characteristics is very suitable for detecting soil moisture variation regionally. In this article, the 1978-2010 microwave remote sensing merged soil moisture product developed by Europe Space Agency, the SMOS MIRAS 2013 L3 10-day soil moisture product and monthly precipitation data from meteorological stations are used to discriminate the extent and severity of spring waterlogging in Northeast China based on Soil Moisture Departure Index (SMDI) and Soil Moisture Anomaly Index (SMA). Take the mean soil moisture of 30-year as the reference value, the soil moisture in late April, early May and mid May of 2013 is compared with the reference value of soil moisture, and the waterlogging event can be inferred by the fixed domain value. After the extent and severity of waterlogging are identified, we analyze the relationship between the waterlogging event and monthly precipitation, also the relationship of the severity of waterlogging of one place with its elevation. Through these analysis, some results are summarized as below: 1) Heilongjiang Province in Northeast China has the largest area affected by the 2013 waterlogging event and the waterlogging affected area is about approximately 110 000 km2, accounting for about a quarter of its total area; 2) Comparing monthly precipitation data with the degree of waterlogging, it is found that heavy rainfall (including snow) in winter and spring is the main reason for spring-waterlogging; 3) The severity of the spring waterlogging negatively correlates with elevation, and the waterlogging area are distributed below the 500 m elevation.

Key words: Eco-environment, Ecological construction, Sustainable development, Scientific issues, Policy proposals, West China, spring waterlogging, soil moisture anomaly, soil moisture, microwave remote sensing

中图分类号: 

  • P407