Next Article in Journal
Atangana–Baleanu and Caputo Fabrizio Analysis of Fractional Derivatives for Heat and Mass Transfer of Second Grade Fluids over a Vertical Plate: A Comparative Study
Next Article in Special Issue
Modeling NDVI Using Joint Entropy Method Considering Hydro-Meteorological Driving Factors in the Middle Reaches of Hei River Basin
Previous Article in Journal
Quality Systems. A Thermodynamics-Related Interpretive Model
Previous Article in Special Issue
Modeling Multi-Event Non-Point Source Pollution in a Data-Scarce Catchment Using ANN and Entropy Analysis
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Entropy 2017, 19(8), 410;

Spatio-Temporal Variability of Soil Water Content under Different Crop Covers in Irrigation Districts of Northwest China

Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China
Department of Biological & Agricultural Engineering, and Zachry Department of Civil Engineering, Texas A & M University, College Station, TX 77843-2117, USA
Author to whom correspondence should be addressed.
Received: 25 April 2017 / Revised: 3 August 2017 / Accepted: 4 August 2017 / Published: 18 August 2017
(This article belongs to the Special Issue Entropy Applications in Environmental and Water Engineering)
Full-Text   |   PDF [6516 KB, uploaded 18 August 2017]   |  


The relationship between soil water content (SWC) and vegetation, topography, and climatic conditions is critical for developing effective agricultural water management practices and improving agricultural water use efficiency in arid areas. The purpose of this study was to determine how crop cover influenced spatial and temporal variation of soil water. During a study, SWC was measured under maize and wheat for two years in northwest China. Statistical methods and entropy analysis were applied to investigate the spatio-temporal variability of SWC and the interaction between SWC and its influencing factors. The SWC variability changed within the field plot, with the standard deviation reaching a maximum value under intermediate mean SWC in different layers under various conditions (climatic conditions, soil conditions, crop type conditions). The spatial-temporal-distribution of the SWC reflects the variability of precipitation and potential evapotranspiration (ET0) under different crop covers. The mutual entropy values between SWC and precipitation were similar in two years under wheat cover but were different under maize cover. However, the mutual entropy values at different depths were different under different crop covers. The entropy values changed with SWC following an exponential trend. The informational correlation coefficient (R0) between the SWC and the precipitation was higher than that between SWC and other factors at different soil depths. Precipitation was the dominant factor controlling the SWC variability, and the crop efficient was the second dominant factor. This study highlights the precipitation is a paramount factor for investigating the spatio-temporal variability of soil water content in Northwest China. View Full-Text
Keywords: spatio-temporal variability; soil water content; entropy; arid region spatio-temporal variability; soil water content; entropy; arid region

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Wang, S.; Singh, V.P. Spatio-Temporal Variability of Soil Water Content under Different Crop Covers in Irrigation Districts of Northwest China. Entropy 2017, 19, 410.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top