نتایج جستجو برای: semivariogram
تعداد نتایج: 276 فیلتر نتایج به سال:
Soil texture is a vital variable that reflects number of soil properties such as Bulk Density, Particle Infiltration Rate, Hydraulic conductivity, Water holding capacity, nutrient storage and availability well transport binding stability aggregates. For better tuber development in cassava plays role. The main objective this study to produce kriged maps (Ordinary kriging map semivariogram) inter...
Proses pengolahan emas secara tradisional yang diterapkan di daerah Tatelu Minahasa utara menggunakan teknologi sederhana dengan merkuri sebagai bahan penangkap melalui proses amalgamasi. Merkuri hasil akan menyebar pada lingkungan sekitarnya, jika terpapar tanah dalam jangka waktu lama maka racun ini menumpuk dan suatu saat menimbulkan gangguan kesehatan manusia. Penelitian bertujuan untuk men...
Prediction of Soil Erodibility by Diffuse Reflectance Spectroscopy in a Neotropical Dry Forest Biome
The USLE and the RUSLE are two common erosion prediction models that used worldwide, soil erodibility (K-factor) is one parameter to calculate them. objectives of this study were investigate variability soil-erodibility factors under different soil-texture classes evaluate efficiency diffuse reflectance spectroscopy (DRS) in near-infrared range at predicting K-factors using a partial least squa...
The exploitation and sustainable use of groundwater has received much attention with the sudden decline in quantity quality surface water. Knowledge on current status physico-chemical parameters becomes important ensuring resource. This study used Geographic Information System (GIS) to assess Ahafo-Kenyasi particular focus determining spatial distribution also produce map area. Physico-chemical...
Abstract Heterogeneity is a vital spatial feature for subsurface resource recovery predictions, such as mining grade tonnage functions, hydrocarbon factor, and water aquifer draw-down predictions. Feature engineering presents the opportunity to integrate heterogeneity information, but traditional engineered features like Dykstra-Parsons Lorenz coefficients ignore context; therefore, are not suf...
To properly characterize a spatio-temporal random process, it is necessary to understand the process’ dependence structure. It common describe this using single error having complicated covariance. Instead of approach, we processes linear mixed models several errors; each describes specific quality This model formulation general, intuitive, and contains many commonly used covariance functions a...
[This corrects the article DOI: 10.1186/s40064-016-2142-4.].
Improving green total factor productivity (GTFP) is the key for China’s mineral resources industry to get out of dilemma resource depletion and environmental degradation. The Super Slacks-Based Measure (Super-SBM) model with undesirable output used calculate GTFP between 2004 2019, space–time correlation threshold quantitatively determined by semivariogram. On this basis, spatial weight matrix ...
Abstract Managing soils for improved agricultural production requires information on soil fertility status. Our objective was to map better management in Ethiopia and determine their spatial correlation at a separation distance of 29 m. We collected 82 samples (0–20 cm depth) 560 ha land determined pH, Olsen extractable phosphorus (Olsen‐P), organic carbon (OC). then interpolated between sample...
This work is a novel trial to integrate geostatistics with fuzzy logic under the geographic information system (GIS) environment model soil pollution. Soil samples from seventy-one profiles in northern Nile Delta, Egypt, and were analyzed for total concentrations of Cd, Co, Cu, Pb, Ni, Zn. Metal distribution maps generated using ordinary kriging methods. They normalized by linear non-linear mem...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید