A watershed management program is usually based on the results of watershed modeling. Accurate modeling results are decided by the appropriate parameters and input data. Precipitation is the most important input for watershed modeling. Precipitation characteristics usually exhibit significant spatial variation, even within small watersheds. Therefore, properly describing the spatial variation o...

Previous studies have shown that the presence of nitrate in drinking water can cause several diseases especially in the infants, such as cancer and blue baby. The Environmental Protection Agency (EPA) has since adopted the 50 mg/l standard as the maximum contaminant level (MCL) for nitrate for regulated public water systems. This study aimed to evaluate the concentration of nitrate in the drink...

The lower Athabasca River watershed is one of the most important regions for Alberta and elsewhere due to fact that it counts for the third largest oil reserve in the world. In order to support the oil and gas extraction, Athabasca River provides most of the required water supply. Thus, it is critical to understand the characteristics of the river and its watershed in order to develop sustainab...

Introduction: The present study aimed to compare the performance of two widely-used models for spatial assessment of particulate matter less than 10 microns (PM10) in ambient air of Yazd city. Finally, effective factors on concentrations of pollutants and corresponding standards were investigated. Materials and Methods: A number of 13 sampling stations were employed in different areas of Yazd ...

Porsuk River Basin, located in the Central Anatolia, Turkey, has a drainage area of 10818.41 km2 and total length 460 km, which makes it significant region for variety hydrological hydropower studies. Therefore, is necessary to determine rainfall distribution over basin so that related projects processes, such as dam planning works, can be properly performed. To fulfil this aim, meteorological ...

Post-disaster flood risk assessment is extremely difficult owing to the great uncertainties involved in all parts of exercise, e.g., uncertainty hydrologic–hydraulic models and depth–damage curves. In present study, a robust fast data-driven tool for residential introduced. The proposed can be used by scientists, practitioners and/or stakeholders as first step better understanding quantifying m...

In this paper, we consider two types of inverse sorting problems. The first type is an inverse sorting problem under weighted Hamming distance with bound constraints, which can be solved in O(n) time. The second type is a family of partial inverse sorting problems which we can further divide into two kinds, with free positions and with fixed positions. We show that both types of partial inverse...