با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.
عنوان انگلیسی مقاله:
Identifying regionalized co-variate driving factors to assess spatial distributions of saturated soil hydraulic conductivity using multivariate and state-space analyses
ترجمه فارسی عنوان مقاله:
شناسایی عوامل محرک متغیر منطقه ای برای ارزیابی توزیع مکانی هدایت هیدرولیکی خاک اشباع شده با استفاده از تجزیه و تحلیل چند متغیره فضای دولت
Sciencedirect - Elsevier - Catena, 191 (2020) 104583. doi:10.1016/j.catena.2020.104583
Luana Nunes Centenoa, Luís Carlos Timmb,⁎, Klaus Reichardtc, Samuel Beskowd, Tamara Leitzke Caldeirae, Luciana Montebello de Oliveiraf, Ole Wendrothg
Saturated soil hydraulic conductivity (Ksat) is a key factor in hydrological management projects and its variability
along the landscape hinders its correct use in the formulation of such projects. Ksat varies under different
climatic and hydrological conditions at spatial scales as reported in several studies. However, co-regionalization
of Ksat remains a challenging aspect with regard to identifying supportive co-variates and suitable spatial
models. The objectives of this study were to (i) identify factors that relate Ksat with soil and topographic attributes
and land-use systems along a 15-km transect using principal component analysis, and (ii) describe the
spatial continuum of Ksat across the transect through co-regionalization with autoregressive state-space models.
The transect was established in the Fragata River Watershed (FRW), Southern Brazil. One hundred soil sampling
points were distributed along the transect at equal distances (150 m). Clay and sand fractions, soil organic
carbon content, soil bulk density, soil macroporosity, Ksat, and the soil water retention curve were determined
for the 0–20 cm layer at each point. Topographic attributes were derived from the digital elevation model and a
land-use map was derived from satellite images. The highest and lowest spatial variabilities were exhibited by
Ksat and soil organic carbon content, respectively. Applying the state-space approach, spatial relationships
among Ksat and soil and topographic attributes, and land-use systems along the transect, could be found.
Principal component analysis used jointly with state-space showed that macroporosity could be used as a proxy
to estimate the spatial variation of Ksat in the FRW watershed, assessing surface and subsurface runoff potentials
at areas of different land-use. Further studies should be carried out to investigate the use of the type of land-use
system as a soil structural predictor of the spatial variations of Ksat at the watershed scale since it is nowadays an
“easy-to-measure” variable from satellite images.
Keywords: Ksat | Soil and topographic attributes | Spatial variability | Land-use system