Atmospheric pollution has recently drawn significant attention due to its proven adverse effects on public health and the environment. This concern been aggravated specifically in Southeast Asia increasing vehicular use, industrial activity, agricultural burning practices. Consequently, elevated PM2.5 concentrations have become a matter of intervention for national authorities who addressed nee...

The contamination of farmlands with hazardous metals from mining puts the safety agricultural commodities at risk. For remediation, it is crucial to map spatial distribution contaminated soil. Typical sampling-based procedures are time-consuming and labor-intensive. use visible, near-infrared, short-wave infrared reflectance (VNIR-SWIR) spectroscopy detect soil heavy metal pollution an alternat...

The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in sustainable land-use management and ecosystem functioning. No such study has been attempted complex topography land use Himalayas, which is associated with great heterogeneity uncertainties. Therefore, this digital mapping (DSM) was used to predict evaluate SOCS using advanced geostatistical methods a mach...

Spatial interpolation methods are widely used in various fields and have been studied by several scholars with one or a few specific sampling datasets that do not reflect the complexity of the spatial characteristics and lead to conclusions that cannot be widely applied. In this paper, three factors that affect the accuracy of interpolation have been considered, i.e., sampling density, sampling...

A new simulation-optimization methodology is developed for cost-effective sampling network design associated with long-term monitoring of large-scale contaminant plumes. The new methodology is similar in concept to the one presented by Reed et al. (Reed, P.M., Minsker, B.S., Valocchi, A.J., 2000a. Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass i...

In this prospectus, we investigate the impact of various data quality factors on the problem of determining data quality for observations from a given weather sensor data stream. Our problem is an offshoot of various research and development projects conducted at the Western Transportation Institute for the California Department of Transportation (Caltrans) in relation to their Road-Weather Inf...

Spatial interpolation (SI) is currently one of the most common ways to estimate wind speed (Ws). However, classic SI models either ignore the complex geography [e.g. inverse distance weighting (IDW)], or demand high computational resources (e.g. cokriging). This study aimed to develop a simple yet effective SI model for estimating Ws in Eastern Thrace of Turkey. This new method, named MIDW(Ws),...

The estimation of pollution fields, especially in densely populated areas, is an important application in the field of environmental science due to the significant effects of air pollution on public health. In this paper, we investigate the spatial distribution of three air pollutants in Tehran’s atmosphere: carbon monoxide (CO), nitrogen dioxide (NO2), and atmospheric particulate matters less ...

Soil organic matter (SOM), total nitrogen (TN), available phosphorus (AP), and potassium (AK) are important indicators of soil fertility when undertaking a quality evaluation. Obtaining high-precision spatial distribution map nutrients is great significance for the differentiated management nutrient resources reducing non-point source pollution. However, heterogeneity lead to uncertainty in mod...