Soil moisture spatial variability in experimental areas of central Italy

Brocca, Luca; Morbidelli, Renato; Melone, F.; Moramarco, Tommaso

doi:10.1016/j.jhydrol.2006.09.004

Cited by 368 publications

(350 citation statements)

References 58 publications

Supporting

Mentioning

297

Contrasting

Unclassified

Order By: Relevance

“…Soil moisture is highly and nonlinearly variable in both time and space due to heterogeneity of climate and soil across different scales (Heathman et al, 2012). Studies have identified important spatiotemporal variability characteristics of SWC from different aspects, such as the spatio-temporal patterns of SWC (Cantón et al, 2004;Brocca et al, 2007), the relationship between the heterogeneity and its mean values (Hupet and Vanclooster, 2002;Choi and Jacobs, 2007), the spatial scaling of SWC (Western and Blöschl, 1999;Gao and Shao, 2012a), and the controlling factors of spatio-temporal patterns (Gómez-Plaza et al, 2001;Zhao et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

Gao

Shao

Peng

et al. 2015

CATENA

View full text Add to dashboard Cite

a b s t r a c t a r t i c l e i n f oInformation about soil water content (SWC) within soil profiles in terms of its spatio-temporal variability and temporal stability is crucial when selecting appropriate soil water management practices. However, detailed profile distribution features for related indices are not clear on the Chinese Loess Plateau. This study aimed to investigate the depth dependency of spatio-temporal variability and temporal stability of SWC at the hillslope scale using an intensive sampling strategy for both horizontal and vertical directions as well as over time. The SWCs at 20 depths within 0-300 cm soil profiles were measured on 20 occasions between July 2008 and October 2010 at 91 locations on a hillslope on the Loess Plateau, China. Results showed that although the profile distributions of investigated statistical parameters differed greatly, they were all depth dependent. Based on both the spatio-temporal variability and the temporal stability characteristics using eight indices, the studied soil profile (0-300 cm) could be divided into three soil layers, i.e., 0-60, 60-160 and 160-300 cm, with a characteristic feature of "irregularly changing", "regularly changing", and "relatively constant", respectively. The deepest rainwater replenishment depth was approximately 160 cm. Therefore, choosing 200 cm as the sampling depth would be sufficient in similar areas. Such findings are useful for designing an optimal strategy for sampling and management of profile soil moisture.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

Gao

Shao

Peng

et al. 2015

CATENA

View full text Add to dashboard Cite

show abstract

“…Effect of land cover type on soil moisture Many of the factors that influence the spatial and temporal variances of soil moisture have been studied previously (Qiu et al 2001aFu et al 2003;Lin et al 2006;Brocca et al 2007Brocca et al , 2008Chen et al 2007). In this revegetated area, the different land cover types were the main control on moisture distributions.…”

Section: Discussionmentioning

confidence: 98%

“…However, there is no consensus to the results (Vereecken et al 2007). Some studies have found increases in the standard deviation (SD) of soil moisture with reductions in the mean moisture content (Brocca et al 2007;Hupet and Vanclooster 2002), while others have found the opposite (Famiglietti et al 1998;Martinez-Fernandez and Ceballos 2003). Recent studies have found that the SD and mean moisture content display a convex upward relationship (Brocca et al 2010;Gao et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Linking the soil moisture distribution pattern to dynamic processes along slope transects in the Loess Plateau, China

Wang

Gao

et al. 2015

Environ Monit Assess

View full text Add to dashboard Cite

Soil moisture pulses are a prerequisite for other land surface pulses at various spatiotemporal scales in arid and semi-arid areas. The temporal dynamics and profile variability of soil moisture in relation to land cover combinations were studied along five slopes transect on the Loess Plateau during the rainy season of 2011. Within the 3 months of the growing season coupled with the rainy season, all of the soil moisture was replenished in the area, proving that a type stability exists between different land cover soil moisture levels. Land cover combinations disturbed the trend determined by topography and increased soil moisture variability in space and time. The stability of soil moisture resulting from the dynamic processes could produce stable patterns on the slopes. The relationships between the mean soil moisture and vertical standard deviation (SD) and coefficient of variation (CV) were more complex, largely due to the fact that different land cover types had distinctive vertical patterns of soil moisture. The spatial SD of each layer had a positive correlation and the spatial CV exhibited a negative correlation with the increase in mean soil moisture. The soil moisture stability implies that sampling comparisons in this area can be conducted at different times to accurately compare different land use types.

show abstract

“…Com base neste comportamento, pode-se avaliar que o modelo isotrópico é suficiente para descrever a estrutura da continuidade espacial da umidade do solo na bacia hidrográfica do Ribeirão Lavrinha. Avaliando a anisotropia da umidade do solo em bacias hidrográficas, Brocca et al (2007) e Western et al (2004, concluíram esta mesma situação, ou seja, de que não se detectou anisotropia da umidade do solo, baseando-se nos aspectos do semivariograma vinculados ao alcance e efeito pepita. Em ambas as investigações, foi proposta a modelagem do semivariograma isotrópico para aplicação, ao mapeamento, da umidade do solo.…”

Section: Análise Exploratória Dos Dados E Avaliação Da Continuidade Eunclassified

“…A metodologia geoestatística tem sido, muitas vezes, empregada para caracterizar os padrões espaciais dos atributos do solo (Zhu & Shao, 2008;Brocca et al, 2007;Cichota et al, 2006;Hébrard et al, 2006;Souza et al, 2004;2005;Western et al, 2004). O conceito central da geoestatística, segundo Vieira (2003), remete à determinação da magnitude da variabilidade espacial expressa por um semivariograma, o qual descreve a estrutura da continuidade espacial da variável.…”

Section: Introductionunclassified

Continuidade e distribuição espacial da umidade do solo em bacia hidrográfica da Serra da Mantiqueira

Ávila¹,

Mello²,

Silva³

2010

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

RESUMOO entendimento associado à continuidade espacial da umidade do solo é imprescindível para compreensão e predição de fenômenos relacionados aos processos hidrológicos. A metodologia geoestatística tem sido empregada muitas vezes, para estudos desta natureza. Neste contexto, o semivariograma é utilizado para modelar a continuidade espacial de uma variável para, seu posterior mapeamento. O objetivo no presente estudo foi modelar a continuidade espacial da umidade do solo em uma bacia hidrográfica experimental na região da Serra da Mantiqueira, Minas Gerais, e posteriormente o mapeamento da umidade do solo ao longo do tempo. Os modelos de semivariograma exponencial, esférico e gaussiano, foram ajustados por Mínimos Quadrados Ordinários, Mínimos Quadrados Ponderados e Máxima Verossimilhança, testando sua aderência pelo grau de dependência espacial e validação cruzada. O modelo exponencial apresentou melhor ajuste em 59% dos casos. O grau de dependência espacial médio foi de 88%, conferindo forte grau de dependência à estrutura de continuidade espacial. O mapeamento da umidade do solo mostrou comportamento fortemente associado ao uso do solo e condições topográficas. Palavras-chave: semivariograma, validação cruzada, mapeamento, geoestatísticaSpatial continuity and distribution of soil moisture in a watershed of the Mantiqueira Range ABSTRACT The knowledge related to the spatial continuity of the soil moisture is essential for understanding and prediction of the hydrological processes. The geostatistical methodology has often been applied in such studies. In this context, the semi-variogram is used to model the spatial continuity of a specific variable for its mapping. This work aimed to model the spatial continuity of soil moisture in an experimental watershed located in Mantiqueira Range, MG, and then to generate map of soil moisture through the year. Exponential, spherical and gaussian semi-variogram models were fitted applying the Ordinary Least Square, Weighted Minimum Square and Maximum Likelihood methodologies, testing their adherence based on the Spatial Dependence Degree and database from Cross-Validation procedure. The exponential model presented better performance in 59% of the situations. The mean Spatial Dependence Degree was 88%, showing a strong dependence degree to the spatial continuity structure. The soil moisture mapping demonstrated behavior strongly associated to the land use and topographical conditions.

show abstract

Soil moisture spatial variability in experimental areas of central Italy

Cited by 368 publications

References 58 publications

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

Linking the soil moisture distribution pattern to dynamic processes along slope transects in the Loess Plateau, China

Continuidade e distribuição espacial da umidade do solo em bacia hidrográfica da Serra da Mantiqueira

Contact Info

Product

Resources

About