This paper examines the problem of unobserved heterogeneity in urban water demand. It uses a panel quantile regression (QR) approach to focus on segments of consumers with different levels of water consumption. This estimation strategy is applied …

The Progressive Optimality Algorithm (POA) is a powerful technique widely used for optimizing multi-reservoir operations; however, two crucial downsides cumber its application to complex large-scale multi-reservoir systems, which are insufficient …

Drinking water distribution systems must safely meet the expected demand for water. However, sudden pipe breaks can limit the continuous supply of drinking water. As operating pressure is among the factors affecting the probability of pipe breaks …

Jute, known as the ‘Golden Fibre,’ has been an intrinsic part of the Indian economy for centuries. India is the leading producer and exporter of jute, contributing to almost 70% of global production. However, the productivity of jute crops in …

Generalized Likelihood Uncertainty Estimation (GLUE) is a widely used methodology for propagating uncertainty through models. However, GLUE has been criticized because of the random selection of two components: i) the likelihood function, which is …

In the present research, an attempt is made to use four machine learning technique techniques such as artificial neural network combined with particle swarm optimization (ANN-PSO), adaptive neuro-fuzzy inference system (ANFIS), multivariate …

The goal of this study is to develop a social pricing model for the consumption of a good such drinking water in order to finally uphold the ideal of consumer equality. A deficit results from the first-tier monopoly's price; furthermore …

Accurately gauging the risk of water inrush from underlying aquifers is paramount for ensuring safety in coal mine production. This paper presents an Improved Vulnerability Index Model for water-inrush (IVIM), a risk evaluation system built upon …

The flood-prone city of Zaio in Morocco necessitates a precise, fast, real-time flood depth mapping model due to its recurrent flood history. Whether it’s the exclusive prediction of one flood category, relying on hard-to-measure inputs like flood …

Water scarcity and climate change led to changes in water management, especially in urban areas. RainWater Harvesting (RWH) is a promising technique that allows the collection and reuse of rainwater, as well as protecting sewage systems from …

In the last 30 years, there are many publications in the literature due to global warming and climate change impacts exhibiting non-stationary behaviors in hydro-meteorology time series records especially in the forms of increasing or decreasing …

This study conducted a comprehensive analysis of flood control and water quality simulation for the urban water system in Runan County, with the aim of evaluating the conditions of urban waterlogging and changes in water quality before and after …

Accurate estimation of reference evapotranspiration (ET0) is a crucial parameter in implementing precise irrigation strategies and managing regional water resources effectively. While various methods have been proposed to obtain accurate ET0, the …

The use of reclaimed water is expected to increase in the coming years, mainly in water-scarce areas. In the European Union (EU), an increase in the use of reclaimed water is expected to play a significant role within the European circular economy …

The Indus River, a lifeline for Pakistan, holds paramount significance for its geography, history, and economy. This research delves into a comprehensive analysis of the river's behavior by introducing a novel statistical framework. Combining the …

The study focuses on the uncertainty quantification and bias correction of hydrological projections using Bayesian applications. The climate change impact assessment on streamflow has been done using Soil and Water Assessment Tool (SWAT) model in …

With the continuous development of China’s social economy and residents’living standards, the public’s requirements for water quality continue to improve. And China’s water quality monitoring standard system is also gradually improving and …

The current situation of structural water scarcity due to the rise in demand, the reduction in supply as a consequence of climate change, increasingly frequent drought periods, and overall quantitative pressure on water resources creates a need …

Nowadays, many cities in China are facing the challenge of returning black and odorous waters during the rainy seasons. Combined sewer overflow (CSO) was one of the critical triggers. In this study, a new method for estimating frequency …

This study used the Best-Worst Method (BWM) and the Game Theory Algorithm (GTA) to prioritize and determine critical sub-watersheds based on flood generation potential in the Sehezar and Dohezar Watersheds, Iran. The necessary information was …