Spatiotemporal Variability of Soil Water Content and Its Influencing Factors on a Microscale Slope

被引:0
|
作者
Hu, You [1 ,2 ]
Tang, Chongjun [1 ,2 ]
Chen, Xiaoan [1 ,2 ]
Zhao, Ying [3 ]
He, Hailong [4 ]
Li, Min [4 ]
Zhang, Jie [1 ,2 ]
机构
[1] Jiangxi Acad Water Sci & Engn, Nanchang 330029, Peoples R China
[2] Jiangxi Prov Technol Innovat Ctr Ecol Water Engn P, Nanchang 330099, Peoples R China
[3] Ludong Univ, Key Lab Coastal Ecohydrol Proc & Environm Secur, Yantai 264025, Peoples R China
[4] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Area, Minist Educ, Yangling 712100, Peoples R China
来源
AGRONOMY-BASEL | 2023年 / 13卷 / 08期
关键词
soil water content (& theta; spatiotemporal variability; temporal stability; slope; SPATIAL-TEMPORAL VARIABILITY; LOESS PLATEAU; STABILITY; MOISTURE; SURFACE; PATTERNS; TIME; HILLSLOPES; SIMILARITY; PROFILES;
D O I
10.3390/agronomy13082035
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In order to enhance food security and promote sustainable agricultural development, there is extensive utilization of sloping land in China. However, soil and water loss are severe in sloping lands. Understanding the spatiotemporal variability of soil water content (?) is therefore important for determining suitable soil and water conservation strategies. Nevertheless, there exists a dearth of current research that focuses on the spatiotemporal variability of ? in microscale sloping lands. This study used statistical and temporal stability (TS) analyses to explore the characteristics of the spatiotemporal variability of ? on slopes. Furthermore, this study aimed to quantify the impacts of soil depth, slope position, air temperature, and hydrological conditions on the TS of ?. The average ? increases with depth, and it follows a logarithmic increase above 1.3 m and a linear increase below 1.3 m. The spatial variability of ? is higher in shallow soils and wet seasons compared with deep soils and dry seasons. The temporal stability of ? is higher on the upper and lower slopes compared with the middle slope. Day-MRD is more effective at capturing the temporal stability of ? than all-MRD. The diurnal variation of the TS of ? on slopes is primarily influenced by soil depth, slope position, air temperature, and hydrological conditions. We found that soil depth had a greater impact on the TS of ? than the slope position and that air temperature has a greater influence than the hydrological conditions. This study accurately describes the spatiotemporal variability of ? at the microscale slope, which helps solve the problems of soil and water conservation and water resource management on slopes.
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页数:18
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