Multiscale Influences of Soil Properties on Soil Water Content Distribution in a Watershed on the Chinese Loess Plateau

She, Dongli; Liu, Dongdong; Peng, Shizhang; Shao, Mingan

doi:10.1097/ss.0000000000000021

Cited by 19 publications

(18 citation statements)

References 5 publications

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“…8. Hu and Si (2013) and She et al (2013) also found strong correlations between SWS and clay content using multivariate empirical mode decomposition at larger scales. They attributed these correlations to the higher influence of particle size on SWS at larger scales.…”

Section: Discussionmentioning

confidence: 99%

Depth persistence of the spatial pattern of soil–water storage along a small transect in the Loess Plateau of China

Shao

Jia

et al. 2015

Journal of Hydrology

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Keywords:Depth persistence Soil-water storage Spatial pattern Wavelet coherency The Loess Plateau s u m m a r y Knowledge of the spatial patterns of soil-water storage (SWS) in soil profiles is important for understanding the dynamics of soil water between surface and subsurface soil layers in semiarid area. We investigated the depth persistence of the overall and scale-specific spatial patterns of SWS for different soil layers during different seasons. Soil-water contents were measured using a neutron probe on 22 occasions in 2012 and 2013 along a 1340-m transect over several sub-watersheds in the Liudaogou catchment on the Loess Plateau of China. Similarities in the spatial patterns of SWS were analyzed by Spearman's rank correlations and wavelet coherency. A spatiotemporal analysis indicated that the temporal evolution of the SWS profiles differed between the growing and non-growing seasons and that landscape position and soil texture determined the amount of SWS at each sampling location. Spearman's rank correlations were significant between any two layers within different seasons, and the correlation coefficients decreased as the distance between layers increased. Clay content controlled the spatial pattern of SWS between layers at large scales. The SWS spatial pattern had a higher depth persistence during the non-growing season than during the growing season, and the soil layer had a larger effect than season on the similarity in SWS spatial patterns. These results can improve our understanding of the hydrological processes in soil profiles and can be of considerable value in the application of hydrological models and in water management.

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Section: Discussionmentioning

confidence: 99%

Depth persistence of the spatial pattern of soil–water storage along a small transect in the Loess Plateau of China

Shao

Jia

et al. 2015

Journal of Hydrology

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“…For Transect 2, IMF2 (scale of 639 m) and IMF3 (scale of 1304 m) were the dominant scales that contributed to 60.3-76.6% of the total variance. The larger dominant scales identified for Transect 2 than for Transect 1 may be related to the higher degree of landscape fragmentation resulting from greater human activities that have occurred along Transect 1 (She et al, 2013).…”

Section: Tablementioning

confidence: 98%

“…In addition, undisturbed soil samples were collected from the 0 to 0.1 m layer at each site. These samples were used to determine the bulk density and the contents of soil organic matter, sand (>0.05 mm), silt (0.002-0.05 mm), and clay (<0.002 mm), which are given in Table 1 (She et al, 2013).…”

Section: Experimental Designmentioning

confidence: 99%

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Characterizing scale specific depth persistence of soil water content along two landscape transects

She

Tang

Shao

et al. 2014

Journal of Hydrology

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“…Soil water content (SWC) of surface soils exerts a major influence on a series of hydrological processes such as runoff and infiltration (Famiglietti et al, 1998;Vereecken et al, 2007;She et al, 2013a). Soil water content in the root zone is, in many cases, linked to vegetative growth (Wang et al, 2012;Ward et al, 2012;Jia and Shao, 2013).…”

Section: Introductionmentioning

confidence: 99%

Estimating spatially distributed soil water content at small watershed scales based on decomposition of temporal anomaly and time stability analysis

Cheng

2016

Hydrol. Earth Syst. Sci.

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Abstract. Soil water content (SWC) is crucial to rainfallrunoff response at the watershed scale. A model was used to decompose the spatiotemporal SWC into a time-stable pattern (i.e., temporal mean), a space-invariant temporal anomaly, and a space-variant temporal anomaly. The spacevariant temporal anomaly was further decomposed using the empirical orthogonal function (EOF) for estimating spatially distributed SWC. This model was compared to a previous model that decomposes the spatiotemporal SWC into a spatial mean and a spatial anomaly, with the latter being further decomposed using the EOF. These two models are termed the temporal anomaly (TA) model and spatial anomaly (SA) model, respectively. We aimed to test the hypothesis that underlying (i.e., time-invariant) spatial patterns exist in the space-variant temporal anomaly at the small watershed scale, and to examine the advantages of the TA model over the SA model in terms of the estimation of spatially distributed SWC. For this purpose, a data set of near surface (0-0.2 m) and root zone (0-1.0 m) SWC, at a small watershed scale in the Canadian Prairies, was analyzed. Results showed that underlying spatial patterns exist in the space-variant temporal anomaly because of the permanent controls of static factors such as depth to the CaCO 3 layer and organic carbon content. Combined with time stability analysis, the TA model improved the estimation of spatially distributed SWC over the SA model, especially for dry conditions. Further application of these two models demonstrated that the TA model outperformed the SA model at a hillslope in the Chinese Loess Plateau, but the performance of these two models in the GENCAI network (∼ 250 km 2 ) in Italy was equivalent. The TA model can be used to construct a high-resolution distribution of SWC at small watershed scales from coarseresolution remotely sensed SWC products.

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Multiscale Influences of Soil Properties on Soil Water Content Distribution in a Watershed on the Chinese Loess Plateau

Cited by 19 publications

References 5 publications

Depth persistence of the spatial pattern of soil–water storage along a small transect in the Loess Plateau of China

Depth persistence of the spatial pattern of soil–water storage along a small transect in the Loess Plateau of China

Characterizing scale specific depth persistence of soil water content along two landscape transects

Estimating spatially distributed soil water content at small watershed scales based on decomposition of temporal anomaly and time stability analysis

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