Analysis for Soil Moisture in Jiangsu Province, China, Using GLDAS Data

Coastal Environment, Disaster, and Infrastructure - A Case Study of China's Coastline Pub Date : 2018-11-05 DOI:10.5772/INTECHOPEN.80736

J. Cai, Yuanzhi Zhang, Yu Li, Ting-chen Jiang, X. Liang, XiaLu, J. Tsou

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Abstract

In this chapter, we present the analysis for the evolution characteristics of temperature, precipitation, and soil moisture. We choose a newly developed method that is based on the information flow (IF) concept to research the causality between annual mean temper- ature, precipitation, and soil moisture in Jiangsu province, China, from 1961 to 2011 by using the Global Land Data Assimilation System (GLDAS). The correlation and the cau- sality of air temperature and precipitation on soil moisture were compared and discussed. The causality value of 0 – 10 cm layer is significantly different from zero, while the deeper, in comparison to the surface layer, is negligible. This result unambiguously shows the causality in the sense that the precipitation increase and the temperature decrease are causing the shallow soil moisture to increase. Temperature and all layers of soil moisture have a negative correlation, but precipitation inverses. Precipitation strongly has the greatest effects on soil moisture in the surface layer, though the rest layers are not obvious.

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基于GLDAS数据的江苏省土壤水分分析

在本章中，我们分析了温度、降水和土壤湿度的演变特征。本文采用基于信息流(IF)概念的新方法，利用全球土地数据同化系统(GLDAS)研究了1961 - 2011年江苏省年平均气温、降水和土壤湿度之间的因果关系。比较和讨论了气温和降水对土壤水分的相关性和因果关系。0 ~ 10 cm层的因果关系值与零有显著差异，而深层与表层相比，因果关系值可以忽略不计。这一结果明确显示了降水增加和气温下降导致浅层土壤水分增加的因果关系。温度与各层土壤水分呈负相关，降水呈负相关。降水对表层土壤湿度的影响最大，其余各层影响不明显。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Coastal Environment, Disaster, and Infrastructure - A Case Study of China's Coastline

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