基于生物量的土壤水分动力学模型研究进展

摘要/Abstract

摘要： 土壤水分是农作物生长发育的基本条件和农作物产量预报的基本参数,土壤含水量的多少和空间分布,能有效反映作物当前的生长状况,以及研究区域的干旱情况。利用遥感技术监测土壤水分,具有实时、动态、大面积的优势。随着土壤水分动力学的发展,如何将两者结合起来,建立较少依赖于非遥感数据的模型,实现土壤水分的大面积监测,是监测土壤水分的一个研究方向。首先综述了土壤含水量对作物生物量分配的影响,其次重点介绍了几个主要动力学模型,并对其优缺点进行了评述。最后在土壤含水量和作物生物量关系的基础上,通过引入遥感数据提出了动力学模型改进的建议,探讨土壤水分动力学的发展趋势,以期推动基于生物量反演土壤水分方法的研究。

关键词: 土壤水分, 生物量, 遥感监测, 动力学模型

Abstract: Soil moisture is the requirement for crop growth, its content is a basic parameter for predicting crop yield, and its content and spatial distribution can be used to effectively reflect the growing status of crops. Remote sensing means are usually used to monitor soil moisture content in the real time, dynamic and large-area ways. With the development of soil moisture dynamics, one direction of monitoring soil moisture content is to develop a model without relying on the observed data so as to monitor soil moisture content at large scale. First of all, this paper summarizes the effect of soil moisture content on the distribution of crop biomass. Secondly, some main soil moisture dynamics models are reviewed based on emphasizing their advantages and disadvantages. Finally, a suggestion of improving the dynamics model is proposed by using RS data based on the relationship between soil moisture content and crop biomass. The developing trend of soil moisture dynamics is discussed so as to promote the study of retrieving soil moisture content using biomass.

Key words: soil moisture content, biomass, remote sensing monitoring, dynamics model

中图分类号:

S152.7

张丹, 苏涛, 王鹏新. 基于生物量的土壤水分动力学模型研究进展[J]. 干旱区研究, 2011, 28(2): 235-241.

ZHANG Dan, SU Tao, WANG Peng-xin. Research Progress of Soil Moisture Dynamics Models Based on Biomass[J]. , 2011, 28(2): 235-241.

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