As basic data, the reliability of precipitation data makes a significant impact on many results of environmental applications. In order to obtain spatially distributed precipitation data, measured points are interpolated. There are many spatial interpolation schemes, but none of them can perform best in all cases. So criteria of precision evaluation are established. This study aims to find an o...

We propose to use wireless sensor networks to assess the accuracy and application of Digital Surface Models (DSM) for the study of shadowing and solar radiation over the built environment. Using the ability of sensor network data to provide information about solar radiation and predicting the exact time of the day that the Sun starts radiating a sensor, a comparative study and statistical analy...

This study presents a method to estimate land surface temperature (LST) by calibrating spatial interpolation using satellite-derived surface emissivity. Four spatial interpolation methods including Inverse Distance Weighting (IDW), Spline, Kriging, and Cokriging were tested to interpolate LST in southern New England using ground temperatures measured at national weather stations (NWS) in summer...

Fuzzy set theory has shown potential for reducing uncertainty as a result of data sparsity and also provides advantages quantifying gradational changes like those pollutant concentrations through fuzzy clustering based approaches. The ability to lower the sampling frequency perform laboratory analyses on fewer samples, yet still produce an adequate distribution map, would reduce initial cost ne...

Various studies are currently underway on PM (Particulate Matter) monitoring in view of the importance air quality public health management. Spatial interpolation has been used to estimate concentrations due that it can overcome shortcomings station-based and provide spatially continuous information. However, is affected by a combination several factors, only considers spatial relationship betw...

On-site sanitation systems (OSS), such as pit latrines, are an important source of methane (CH4), with emissions increasing when they wet, and this occurs anaerobic conditions dominate. This paper presents the development a model, which uses seasonal changes in groundwater to account for fluctuating inundation and, therefore, associated CH4 from varying degrees anerobic examined. Given that obs...

The experiment was conducted during 2019‒21 at Paroo and Saraiya blocks of Muzaffarpur district Bihar, India to identify the nutrients status for crop management. Soil fertility inventory research carried out in these two identified (Paroo Saraiyan) generation thematic soil map. For nutrient assessment altogether 40 (forty) geo-referenced composite samples were collected from various locations ...

Abstract This article was conducted to perform a temporal and spatial analysis in order identify suitable climatic regions for tourism. We investigated tourism climate conditions Fars province from 2006 2016 using index (TCI). Also, modified inverse distance weighting (IDW) interpolation is applied generate the optimal pattern of TCI distribution. The relationship between accuracy critical IDW ...

Assessing fish habitat suitability in a data-scarce tidal river is often challenging due to the absence of continuous water quantity and quality records. This study comprised an intensive field on 42 km reach which recorded bathymetry physical parameters (pH, electroconductivity, dissolved oxygen, total solids) testing corresponding levels velocity. Frequent sampling was carried out 17 90 locat...