Spatial distribution of surface soil water content under different vegetation types in northwest Guangxi, China

2012 ◽  
Vol 69 (8) ◽  
pp. 2699-2708 ◽  
Author(s):  
Wanxia Peng ◽  
Tongqing Song ◽  
Fuping Zeng ◽  
Kelin Wang ◽  
Hu Du ◽  
...  
2010 ◽  
Vol 53 (10) ◽  
pp. 1527-1532 ◽  
Author(s):  
YuanJun Zhu ◽  
YunQiang Wang ◽  
MingAn Shao

1975 ◽  
Vol 39 (2) ◽  
pp. 238-242 ◽  
Author(s):  
E. L. Skidmore ◽  
J. D. Dickerson ◽  
H. Schimmelpfennig

Author(s):  
Krissandi Wijaya ◽  
Purwoko Hari Kuncoro ◽  
Ardiansyah ◽  
Poppy Arsil ◽  
Hilda Ary ani

2020 ◽  
Vol 747 ◽  
pp. 141537
Author(s):  
Yanlong Guan ◽  
Hongwei Lu ◽  
Chuang Yin ◽  
Yuxuan Xue ◽  
Yelin Jiang ◽  
...  

2011 ◽  
Vol 68 (3) ◽  
pp. 285-294 ◽  
Author(s):  
Carlos Rogério de Mello ◽  
Léo Fernandes Ávila ◽  
Lloyd Darrell Norton ◽  
Antônio Marciano da Silva ◽  
José Márcio de Mello ◽  
...  

Soil water content is essential to understand the hydrological cycle. It controls the surface runoff generation, water infiltration, soil evaporation and plant transpiration. This work aims to analyze the spatial distribution of top soil water content and to characterize the spatial mean and standard deviation of top soil water content over time in an experimental catchment located in the Mantiqueira Range region, state of Minas Gerais, Brazil. Measurements of top soil water content were carried out every 15 days, between May/2007 and May/2008. Using time-domain reflectometry (TDR) equipment, 69 points were sampled in the top 0.2 m of the soil profile. Geostatistical procedures were applied in all steps of the study. First, the spatial continuity was evaluated, and the experimental semi-variogram was modeled. For the development of top soil water content maps over time a co-kriging procedure was used having the slope as a secondary variable. Rainfall regime controlled the top soil water content during the wet season. Land use was also another fundamental local factor. The spatial standard deviation had low values under dry conditions, and high values under wet conditions. Thus, more variability occurs under wet conditions.


Geosciences ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 238
Author(s):  
Kenta Iwasaki ◽  
Makoto Tamura ◽  
Hirokazu Sato ◽  
Kazuhiko Masaka ◽  
Daisuke Oka ◽  
...  

The development of a method to easily investigate the spatial distribution of soil moisture and soil hardness in tree windbreaks is necessary because these windbreaks often decline due to inappropriate soil moisture condition and soil compaction. This research examined the applicability of ground-penetrating radar (GPR) and a combined penetrometer–moisture probe (CPMP) for evaluating the spatial distribution of soil moisture and soil hardness in four windbreaks with different soil characteristics. A GPR-reflecting interface was observed at a less permeable layer in a coastal windbreak and at a depth affected by soil compaction in an inland windbreak with andosol. The spatial distribution of the groundwater table could also be evaluated by examining the attenuation of GPR reflection in a coastal windbreak. In contrast, GPR was not applicable in an inland windbreak with peat because of high soil water content near the soil surface. The CPMP could detect vertical distributions of soil hardness and soil water content regardless of soil type. The CPMP was useful for interpreting GPR profiles, and GPR was useful for interpolating the information about the horizontal distribution of soil moisture and soil hardness between survey points made with the CPMP. Thus, the combination of GPR and a CPMP is ideal for examining the two-dimensional spatial distribution of soil moisture and soil hardness at windbreaks with soils for which both methods are applicable.


Sign in / Sign up

Export Citation Format

Share Document