نتایج جستجو برای: the existing methods including spatial interpolation
تعداد نتایج: 16214909 فیلتر نتایج به سال:
Precipitation is a significant input variable required in hydrological models such as the Soil & Water Assessment Tool (SWAT). The utilization of inaccurate precipitation data can result poor representation true hydrologic conditions catchment. SWAT utilizes conventional nearest neighbor method assigning weather parameters for each subbasin; representing spatial variations over large area, ...
groundwater aquifers are an important source of water supply for agriculture, industry and drinking. the present study investigates the changes in the quality of groundwater using geostatistical methods in the ravar plain during a 10-year period. in this study, after selecting the appropriate spatial interpolation method to draw water quality parameters such as tds, sar and ec, zoning maps of r...
Interpolation techniques for spatial data have been applied frequently in various fields of geosciences. Although most conventional interpolation methods assume that it is sufficient to use firstand second-order statistics to characterize random fields, researchers have now realized that these methods cannot always provide reliable interpolation results, since geological and environmental pheno...
Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. This paper investigates the application of statistical distance, like one minus common variance of observation time series, between data sites instead of geographical distance in interpolation. Here, as a typical representative of interpolation methods ...
among the low–dimensional allotropes of carbon, nanotubes and graphene have attracted very much attention from nano–science and nanotechnology specialists. they have been proposed as building blocks in nanometer device engineering. however, these structures are not defect–free. in this thesis, we focused on defective carbon nanotubes and graphene, and studied the effect of couple of very common...
abstract recent interest in describing the spatial distribution patterns of weeds through using interpolation methods has increased to estimate weed seedling density from spatially refferenced data and evaluation of applicable to site-specific weed management. in this research, a multi layer perceptron neural network (mlpnn) model was developed to predict the spatial distribution of h. glaucum ...
Drought is one of the environmental events and an inseparable part of climatic fluctuations. This phenomenon is one of the main characteristics of the various climates. Awareness of spatiotemporal behavior is effective in land planning. The spatial statistical methods provide the means by which they analyze the spatial patterns of random variables such as precipitation. In this study, using the...
groundwater is the main water resource for domestic and agricultural uses in iran. so real-time mapping of groundwater depth can guide to have a proper exploitation of groundwater. this study was conducted to investigate the spatial variability of depth to groundwater in barkhar plain in esfahan using geostatistical methods. in this regard, the measurements of groundwater depth between july and...
heavy metal contamination has been and continues to be a worldwide phenomenon that heavy metals in the soil have an effect on environment and food quality, and may threaten human health. no information is currently available on the distribution pattern of heavy metals concentration in soils of golestan province. the objective of this research was to determine the spatial distribution of cd, as,...
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