Including tracer data into geostatistically based methods of inverse modeling is computationally very costly when all concentration measurements are used and the sensitivities of many observations are calculated by the direct di€erentiation approach. Harvey and Gorelick (Water Resour Res 1995;31(7):1615±26) have suggested the use of the ®rst temporal moment instead of the complete concentration...

The accurate assessment of spatiotemporal rainfall variability is a crucial and challenging task in many hydrological applications, mainly due to the lack of a sufficient number of rain gauges. The purpose of the present study is to investigate the spatiotemporal variations of annual and monthly rainfall over Fujian province in China by combining the Bayesian maximum entropy (BME) method and sa...

The benefits of an integrated geographical information system (GIS) and a geostatistics approach to accurately model the spatial distribution pattern of precipitation are known. However, the determination of the most appropriate geostatistical algorithm for each case is usually neglected, i.e. it is important to select the best interpolation technique for each study area to obtain accurate resu...

This study shows how a cost-effective hydraulic tomography survey (HTS) and the associated data estimator can be used to characterize flow and transport in heterogeneous aquifers. The HTS is an improved field hydraulic test that accounts for responses of hydraulic stresses caused by pumping or injection events at different locations of an aquifer. A sequential data assimilation method based on ...

The aim of this study is to adapt and evaluate the effectiveness of a multi-temporal downscaled images technique for classifying the typical vegetation types of a reclaimed area. The areas reclaimed from estuarine tidal flats show high spatial heterogeneity in soil salinity conditions. There are three typical vegetation types for which the distribution is restricted by the soil conditions. A ha...

Abstract An ideal spatial interpolation approach is indispensable for obtaining high-quality gridded climatic data in mountainous regions with scarce observations, particularly the Hengduan Mountains Region (HMR) dense longitudinal ranges and gorges. However, there much controversy about applicability of thin plate smooth spline (TPSS), cokriging, inverse distance weighting (IDW) regions. Here,...

Many national and international initiatives rely on spatially explicit information soil organic carbon (SOC) stock change at multiple scales to support policies aiming land degradation neutrality climate mitigation. In this study, we used regression cokriging with random forest spatial stochastic cosimulation predict the SOC between two years (i.e. 1992 2010) in Hungary aggregation levels point...

spatial and temporal distribution of qualitative factors of groundwaters is important to preserve their quality. so, one of the advanced techniques for distribution of groundwater’s qualitative is geostatistic methods. in this study, 33 active wells were randomly sampled to determine the spatial distribution of nitrate pollution in groundwater of the siakh darengoun region (west of shiraz in fa...

Functional data are being used increasingly in recent years and many environmental sciences, such as hydrology applied to agriculture. This means that the output, instead of a scalar variable represented by spatial map, is given function. Furthermore, site-specific management, there need delineate field into management areas depending on agricultural procedure scale application. In this paper, ...