The main objective of the present study is to assess level contamination, source identification, and health risk assessment heavy metals in industrial soils Aurangabad. A total 15 Soil samples were collected with a sampling density 3–5 composite soil from 0–10 cm surface soil, analyzed (Ni, Pb, Cd, Zn, Cr, Mn, Fe, Cu) using atomic absorption spectroscopy. geographical information system (GIS) t...

To determine which interpolation technique is the most suitable for each case study an essential task a correct soil mapping, particularly in studies performed at regional scale. So, our main goal was to identify accurate method mapping 12 variables three different depth intervals: 0–5, 5–10 and >10 cm. For doing that, we have compared nine methods (deterministic geostatistical), drawing map...

Kelkit Basin contains 17 districts within the boundaries of Tokat, Amasya, Gümü?hane, Giresun, and Sivas provinces. The is located in Middle Black Sea Region Anatolia, at 40.9968 North, 30.8491 East, 36.0482 South, 36.6943 West coordinates. total area basin 16.244,45 hectares. altitude surrounded by high mountains ranged from 200 m (base valley) to 1200 (high plain). height gradually increased ...

Precipitation has a strong and constant impact on different economic sectors, environment social activities all over the world. An increasing interest for monitoring estimating precipitation characteristics can be claimed in last decades. However, some areas, ground-based network is still sparse spatial data coverage insufficiently addresses needs. In decades, interpolation methods provide an e...

Forest fire is considered as the most persistent terrestrial disturbance affecting ecosystems, natural resources and threats to human life. Nepal predominantly faces forest fires during dry seasons (November-June) with increasing trend in recent years that need proper management interventions. In line this, our paper aims at assessing risk zones four districts of central representing different ...

iron is an essential nutrients in rice. accurate assessment of this element in paddy soils is very important. improving fertility management, accurate interpolation, being aware of spatial variability and patterns of distribution of micronutrients are the most important factors in soil management and accurate consumption of fertilizers. this study was done for investigating of available iron, d...

The combination of model predictive control (MPC) and learning methods has been gaining increasing attention as a tool to systems that may be difficult model. Using MPC function approximator in reinforcement (RL) is one approach reduce the reliance on accurate models. RL dependent exploration learn, currently, simple heuristics based random perturbations are most common. This paper considers va...

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...