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基于AMSR-2蒙古高原土壤水分反演及对气象因子响应分析

魏宝成 玉山 贾旭 包玉海 那日苏 银山

中国生态农业学报2016,Vol.24Issue(6):837-844,8.
中国生态农业学报2016,Vol.24Issue(6):837-844,8.DOI:10.13930/j.cnki.cjea.151289

基于AMSR-2蒙古高原土壤水分反演及对气象因子响应分析

Analysis of soil moisture retrieval and response to meteorological factors using AMSR-2

魏宝成 1玉山 2贾旭 3包玉海 1那日苏 2银山1

作者信息

  • 1. 内蒙古师范大学地理科学学院 呼和浩特 010022
  • 2. 内蒙古师范大学遥感与地理信息系统重点实验室 呼和浩特 010022
  • 3. 内蒙古农业大学生态环境学院 呼和浩特 010018
  • 折叠

摘要

Abstract

Soil moisture is an important component of the hydrologic cycle in terrestrial ecosystems and it is critical for predicting and understanding various hydrological processes, including changes in weather conditions, precipitation patterns, runoff generation and irrigation scheduling. Soil moisture is a function of the total effect of environmental factors. The Mongolia Plateau is an ideal area for studying the interaction between soil moisture and environmental factors, because of its arid and semi-arid location and its high ecological fragility and sensitivity to global climate change. Therefore, it was necessary to study the response of soil moisture to environmental factors, which was favorable to monitor and predict droughts, adjust agricultural production structures and improve regional eco-environment in the Mongolia Plateau. A soil moisture retrieval model for the Mongolia Plateau was built using microwave radiance transfer function and Qp model based on AMSR-2 brightness temperature and SPOT normalized difference vegetation index (NDVI) data. Soil moisture was retrieved, and the retrieval precision was verified during vegetation growth period from April to October 2013 in the Mongolia Plateau. Combination with TRMM 3B43 precipitation and air temperature data acquired by meteorological stations, the study explored response characteristics between soil moisture, meteorological factors and vegetation. The results showed that 1) the coefficient of determination (r) between retrieved and ground-based soil moisture was 0.6806, with a root-mean square error (RMSE) of 0.0316 cm3·cm-3. The retrieval result was much better than soil moisture product data of JAXA (RMSE = 0.0441 cm3·cm-3). 2) The developed model had a high accuracy and was applicable in surface soil moisture estimation. The regression coefficient of the linear fit of the TRMM 3B43 precipitation measure (rainfall) was 0.8598 and with a slope line of 0.9415, which suggested that TRMM 3B43 data were applicable in the Mongolia Plateau. 3) Total precipitation, mean NDVI and soil moisture during the growing season decreased gradually from north to south and from northeast to southwest. In the arid region of the study area, soil moisture was significantly and positively correlated with temperature, followed by precipitation and vegetation. In the semi-arid region of the study area, vegetation was the key factor driving soil moisture, and the effects of temperature and precipitation on soil moisture showed seasonal variations. The response of soil moisture to the three factors was in the order of vegetation > precipitation > temperature in the semi-humid region of the study area. In conclusion, the response of soil moisture to both environmental factors and vegetation could provide scientific basis for constructing healthy regional eco-environments with reducing disasters risk.

关键词

土壤水分/气象因子/植被/AMSR-2/蒙古高原

Key words

Soil moisture/Meteorological factor/Vegetation/AMSR-2/Mongolia Plateau

分类

信息技术与安全科学

引用本文复制引用

魏宝成,玉山,贾旭,包玉海,那日苏,银山..基于AMSR-2蒙古高原土壤水分反演及对气象因子响应分析[J].中国生态农业学报,2016,24(6):837-844,8.

基金项目

国家自然科学基金项目(41461102)、内蒙古自然科学基金项目(2013ZD08, 2013MS0601)和内蒙古科技重大专项(2013ZDPY04)资助 Supported by the National Natural Science Foundation of China (41461102), the Natural Science Foundation of Inner Mongolia (2013ZD08, 2013MS0601) and the Grand Science and Technology Project of Inner Mongolia (2013ZDPY04) (41461102)

中国生态农业学报

OA北大核心CSCDCSTPCD

2096-6237

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