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Study region: Bihar State, located in India's eastern region, displays significant spatial and temporal variation in rainfall during the Indian Summer Monsoon period with subsequent flooding problems. Study focus: Recent severe flooding problems highlight the need for improved spatial precipitation monitoring to enable effective flood management and reduce water-related disasters. To address this

We study the economic integration of immigrants from Ottoman Syria and Turkey and their offspring in the United States using full count census data from 1900 to 1940. Immigrants initially achieved occupational premiums due to their selection into high-reward industries, but 1940 earnings data reveals significant and growing disadvantages over time, partly due to lower educational attainment. In co

With a critical focus on the interpretative work of the Committee on Economic, Social and Cultural Rights, this article sets out the parameters of applying non-discrimination under article 2(2) of the International Covenant on Economic, Social and Cultural Rights in conjunction with article 11(1) on the right to adequate housing to discrimination suffered by migrants and refugees in access to exis

Achieving sustainable water resource utilization requires a holistic management approach that recognizes the knowledge and values of different stakeholders through a comprehensive participation approach. This study evaluates the indigenous knowledge and technologies employed in watershed management by analyzing qualitative and quantitative data from six villages in the Mara River Basin area. Data

The Loess Plateau is one of the most severely affected regions in China by soil erosion, where vegetation restoration is the principal strategy for soil and water conservation. Runoff and sediment reduction benefits (RRB and SRB) are key indicators used to evaluate the effectiveness of vegetation measures. While numerous observational and experimental studies have explored the effects of different

[Background] The previous studies suggest that radioactive elements like Cs+and Sr may adversely affect marine ecosystems and the fishing industry. Traditional treatment systems for radioactive wastewater like the Advanced Liquid Processing System (ALPS) and Kurion have faced challenges in limiting concentration and achieving safety criteria. Studies suggest potential long-term impacts on benthic

A new metaheuristic optimizer combined with artificial neural networks is proposed for streamflow prediction. Hence, the study aimed to forecast monthly streamflow of the main rivers in Urmia, Iran, by considering data shortage and using artificial neural network (ANN) models. By combining three variables: temperature, precipitation, and streamflow, we formulated five patterns, where 70% of the da

Pan Evaporation (Ep) plays a pivotal role in water resource management, particularly in arid and semi-arid regions. This study assesses the predictive performance of a comprehensive range of advanced machine learning (ML) and deep learning (DL) algorithms for Ep prediction using readily available environmental sensing data. The models investigated include M5 Prime (M5P), M5Rule (M5R), Kstar, as we

Businesses play a key role in transforming production and consumption for sustainability,where circular business models (CBMs) offer one solution to reduce waste and rethink resource use.Although CBMs may be able to provide environmental and economic benefits, it is unclear how they canbe implemented effectively and contribute to sustainability goals. To understand how CBMs cancontribute to broade

Aquifer classification plays a pivotal role in understanding groundwater dynamics and informing sustainable water resource management, especially in regions under significant stress from over-extraction. This study presents a novel remote sensing-based methodology for classifying aquifers represented by monitoring wells within the study area. The approach integrates stress-strain analysis, incorpo

Groundwater drought, a significant natural disaster in arid and semi-arid regions, contributes to numerous consecutive issues. Due to the inherent complexity of groundwater flow systems, accurately quantifying and describing this phenomenon remains a challenging task. As a result of excessive agricultural development, the Marand Plain in northwestern Iran is experiencing both groundwater drought a

Predictions of total dissolved solids (TDS) in water bodies including rivers and lakes are challenging but essential for the effective management of water resources in agricultural and drinking water sectors. This study developed a hybrid model combining Grey Wolf Optimization (GWO) and Kernel Extreme Learning Machine (KELM) called GWO-KELM to model TDS in water bodies. Time series data for TDS an

Microplastics (MP) have emerged as significant global pollutants, garnering considerable attention from both the scientific community and the public. The significance of microplastic research lies in its capacity to inform effective pollution control strategies and mitigate associated environmental and health risks. The review illuminated the complexities and challenges inherent in analyzing micro

Heavy metal (HM) pollution remains a pressing global concern, affecting soil regarding food safety, and negatively influencing the UN Sustainable Development Goals (SDGs). We investigated the efficacy of untreated cypress biochar (UCB) and Ca-modified cypress biochar (MCB) in mitigating HM contamination and enhancing growth across native and contaminated soils (40 mg/kg) in carrot pot experiments.

Groundwater is becoming increasingly important as surface water is decreasing and becoming more and more polluted. In particular, rural areas in the arid region of Central Asia face problems with both water quantity and quality. In view of this, we investigated the drinking water quality in the Maysky district in the Pavlodar region, Kazakhstan. The organoleptic properties, together with microbiol

Study region: The NekooAbad Irrigation District in central Iran faces challenges due to inefficient surface water distribution. 82 million m3 of groundwater is extracted annually from 15,000 tube-wells, leading to decreased groundwater levels and increased energy consumption of 234 million kWh per year. Study focus: This study explores implementing automation in surface water distribution to reduc

Atmospheric Carbon Dioxide (CO2), a significant greenhouse gas, drives climate change, influencing temperature, rainfall, and the hydrologic cycle. This alters precipitation patterns, intensifies storms, and changes drought frequency and timing of floods, impacting ecosystems, agri-culture, water resources, and societies globally. Understanding how global CO2 fluctuations impact regional atmospher

Significant groundwater (GW) head decline due to excessive withdrawal is an essential hydrological concern in several major plains of Iran. The capacity of an aquifer to retain GW can be described through the storativity parameters. Traditional methods to define these parameters are costly, time-consuming, and sometimes ineffective. The storativity of an aquifer, irrespective of its confinement ty