Spatio-temporal distribution and influencing factors of soil moisture content in Henan Province during 1948—2021

doi:10.6046/zrzyyg.2022200

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Abstract

This study constructed a monthly soil moisture content dataset of Henan Province during 1948—2021 by combining 1948—2014 GLDAS_2.0 data and 2000—2021 GLDAS_2.1 data. Through the Mann-Kendall (M-K) trend analysis, mutation test, wavelet analysis, and cross-correlation analysis, this study revealed the spatio-temporal distribution and critical influencing factors of soil moisture content in Henan Province. The results show that compared with the monthly soil moisture content data provided by GLDAS_2.1, the reconstructed monthly soil moisture content data during 2000—2014 showed an average deviation, average absolute error, and root mean square error of 2.09 mm, 13.01 mm, and 18.26 mm, respectively, indicating reliable data. According to the constructed soil moisture content data, the soil moisture content decreased at a rate of 0.301 0 mm/a during 1948—2021, with change rates of -0.236 8 mm/a in spring, -0.085 5 mm/a in summer, -0.380 5 mm/a in autumn, and -0.240 3 mm/a in winter in Henan Province. Spatially, the soil moisture content decreased from south to north, highly consistent with precipitation and evapotranspiration. The soil moisture content was 2.63 mm/cm in the vertical direction. The wavelet and cross-correlation analyses show that precipitation is a critical factor influencing soil moisture content. This study revealed the long-time-series spatio-temporal distribution of soil moisture content in Henan Province, providing a basis for the scientific management of surface water resources in Henan Province.

Keywords GLDAS soil moisture content M-K trend analysis wavelet analysis cross-correlation analysis Henan Province

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Issue Date: 19 September 2023

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	Yi GUO
	Fuping GAN
	Bokun YAN
	Juan BAI
	Naichen XING
	Qi LIU

Cite this article:

Yi GUO,Fuping GAN,Bokun YAN, et al. Spatio-temporal distribution and influencing factors of soil moisture content in Henan Province during 1948—2021[J]. Remote Sensing for Natural Resources, 2023, 35(3): 241-252.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022200 OR https://www.gtzyyg.com/EN/Y2023/V35/I3/241

Fig.1 Relationship of temperature, precipitation, evaporation and soil moisture content between GLDAS_2.0 and GLDAS_2.1

Fig.2 Temperature, precipitation, evaporation and soil moisture content of Henan Province during 1948 to 2021 based on GLDAS_2.0 and GLDAS_2.1

Fig.3 M-K test of temperature, precipitation, evaporation and soil moisture content of Henan Province from 1948 to 2021

Fig.4 Seasonal variations of soil moisture content of Henan Province in 1948—2021

Fig.5 M-K test of soil moisture content of different seasonal in Henan Province in 1948—2021

Fig.6 Spatial distribution of precipitation, evaporation and soil moisture content during 1948 to 1999 and 2000 to 2021

Fig.7 Depth distribution characteristics of soil moisture content in different seasons in Henan Province during 2000 to 2021

Fig.8 Relationship between soil moisture content with precipitation and evaporation and water consumption

Fig.9 Morlet continuous wavelet transform of annual mean temperature, precipitation, evaporation and soil moisture content in Henan Province during 1948 to 2021

Fig.10 Correlation distribution between annual and monthly precipitation and evaporation with soil moisture content in 1948—2021

Fig.11 Spatial distribution of the correlation coefficients between annual precipitation and evaporation with soil moisture content in Henan Province during 1948 to 1999 and 2000 to 2021

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