introduction the knowledge about spatial variability of precipitation is a key issue for regionalization in hydro-climatic studies. measurements of meteorological parameters by the traditional methods require a dense rain gauge network. but, due to the topography and cost problems, it is not possible to create such a network in practice. in these cases the spatial distribution pattern of precip...

The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in sustainable land-use management and ecosystem functioning. No such study has been attempted complex topography land use Himalayas, which is associated with great heterogeneity uncertainties. Therefore, this digital mapping (DSM) was used to predict evaluate SOCS using advanced geostatistical methods a mach...

An accurate estimation of soil organic matter (SOM) content for spatial non-point prediction is an important driving force for the agricultural carbon cycle and sustainable productivity. This study proposed a hybrid geostatistical method of extreme learning machine-ordinary kriging (ELMOK), to predict the spatial variability of the SOM content. To assess the feasibility of ELMOK, a case study w...

Obtaining large-scale, long-term, and spatial continuous soil moisture (SM) data is crucial for climate change, hydrology, water resource management, etc. ESA CCI SM such a large-scale long-term (longer than 40 years until now). However, there exist gaps, especially the area of China, due to limitations in remote sensing as complex topography, human-induced radio frequency interference (RFI), v...

Abstract The presence of an economical solution to predict soil behaviour is essential for new construction areas. This paper aims investigate the ultimate interpolation method predicting bearing capacity An-Najaf city-Iraq based on field investigation information. Firstly, engineering was calculated in-site N-SPT values using dynamic loading 464 boreholes with depths 0–2 m, Meyerhof formula. d...

in many urban areas, groundwater has been exploited neglecting to wet and dry periods owing to of surface water deficit. in this study, using the percent of normal rainfall index, 36 year (1971-2008) were studied and a drought event and a wet event were determined. the reason to choose two consecutive years is the effect of early wet period on groundwater quality. physicochemical characteristic...

Phosphorus enrichment has been of major concern in the Greater Everglades (GE) ecosystem since the early 1980s. Our objectives were to estimate spatio–temporal patterns of soil total phosphorus (TP) in Water Conservation Area 2A (WCA-2A) in the GE ecosystem and to compare two different geostatistical methods: ordinary kriging (OK) and conditional sequential Gaussian simulation (CSGS), addressin...

the quality of surface water within a region is mainly influenced by natural processes such as precipitation, soil erosion and weathering, geology, vegetation and anthropogenic activities. the most important factor is geological formation in watershed and water flow path. in this study, the spatial variations of physical and chemical parameters of surface water including ec, sar, cl and tds and...