East African Rift Valley basin. Water availability in the rift valley relies heavily on discharge from highlands to rivers that run floor. This research explores effect of Land use/Land cover (LULC) and climate change water yield groundwater recharge (WYGR) using coupled SWAT-MODFLOW, which integrates Soil Assessment Tool (SWAT) Newton Modular Finite Difference Groundwater Flow (MODFLOW-NWT). The LULC was analyzed artificial neural network-based cellular automata. dominant is cultivated land...

Assessing the spatiotemporal dynamics of land use cover (LULC) change on water resources is vital for watershed sustainability and developing proper management strategies. Evaluating LULC scenarios synergistically with hydrologic modeling affords substantial evidence factors that govern processes. Hence, this study assessed effects implications groundwater recharge surface runoff in Gilgel Gibe, an East African watershed, using Soil Water Assessment Tool (SWAT) model. Three different maps...

The precise forecasting of daily solar radiation (DSR) is receiving prominent attention among thriving energy studies. In this study, three standalone models, including gene expression programing (GEP), multivariate adaptive regression splines (MARS), and self-adaptive MARS (SaMARS), were evaluated to forecast DSR. A SaMARS model was classified as when using the crow search algorithm (CSA). addition, overcome limitations complete ensemble empirical mode decomposition with noise (CEEMDAN)...

Groundwater is one of the most important freshwater resources, especially in arid and semi-arid regions where annual amounts precipitation are small with frequent drought durations. Information on qualitative parameters these valuable resources very crucial as it might affect its applicability from agricultural, drinking, industrial aspects. Although geo-statistics methods can provide insight about spatial distribution quality factors, applications advanced artificial intelligence (AI)...

Owing to the reduction of surface-water resources and frequent droughts, exploitation groundwater has faced critical challenges. For optimal management these valuable resources, careful studies potential status are essential. The main goal this study was determine network structure a Bayesian (BayesNet) machine-learning model using three metaheuristic optimization algorithms—a genetic algorithm (GA), simulated annealing (SA) algorithm, Tabu search (TS) algorithm—to prepare...

The lack of valuable baseline information about groundwater availability hinders the robust decision-making process water management in humid, arid, and semi-arid climate regions world. In sustainable management, identifying spatiotemporal extrapolative monitoring potential zone is crucial. Thus, present study focused on determining aquifer recharge zones using geospatial techniques for proxy data Gilgel Gibe catchment, Ethiopia. Proxy are site derived from satellite imageries or...

Abstract Suspended sediment concentration prediction is critical for the design of reservoirs, dams, rivers ecosystems, various operations aquatic resource structure, environmental safety, and water management. In this study, two different machine models, namely cascade correlation neural network (CCNN) feedforward (FFNN) were applied to predict daily-suspended (SSC) at Simga Jondhara stations in Sheonath basin, India. Daily-suspended discharge data from 2010 2015 collected used develop...

Recognizing how human activities affect hydrological systems is vital for the sustainable preservation and effective management of water resources in watershed. Hence, this paper focuses on response to land use cover (LULC) change scenarios Anyang watershed, South Korea. We obtained LULC data maps years 2000, 2013, 2022 from local government, revealing significant changes over years. Agricultural lands experienced a 6.2% increase 2000 2022, pastureland expanded by 8.67% two decades. The SWAT...

Global warming induces spatially heterogeneous changes in precipitation patterns, highlighting the need to assess these at regional scales. This assessment is particularly critical for Afghanistan, where agriculture serves as primary livelihood population. New global climate model (GCM) simulations have recently been released established shared socioeconomic pathways (SSPs). requires evaluating projected under new scenarios and subsequent policy updates. research employed six GCMs from CMIP6...

Seawater intrusion (SWI) is a major environmental threat to groundwater resources in coastal regions. GALDIT an index-based SWI vulnerability model that increasingly being used many parts of the world identify regions are vulnerable various types based on six parameters. In this study, we conducted assessment Jeju Island several years collected level data and hydrogeological values where objectives study were visualize distribution recent SWI, increase reliability method by improving current...

Numerical models are employed widely to evaluate the hydrological components of a watershed but, traditionally, simplify either surface or subsurface flow module. In this setup, as bridge between groundwater and water regimes, aquifer recharge is most affected segment balance. Since processes increasingly changed, need for comprehensive model with detailed conceptualizing capacity both systems growing. This work focuses on spatiotemporal assessment in gauged ungauged agro-urban watersheds...

Availability of reliable meteorological data for watershed modeling is one the considerable challenges in Awash River Basin Ethiopia. To overcome this challenge, Climate Forecast System Reanalysis (CFSR) global weather was evaluated and compared with limited conventional available Upper Basin. The main objective study to search an optional source hydrological modeling, instead using data, data-scarce areas basin. Soil Water Assessment Tool model used compare performance two datasets at...

The likelihood of surface water and groundwater contamination is higher in regions close to landfills due the possibility leachate percolation, which a potential source pollution. Therefore, proposing reliable framework for monitoring parameters an essential task managers authorities quality control. For this purpose, efficient hybrid artificial intelligence model based on grey wolf metaheuristic optimization algorithm extreme learning machine (ELM-GWO) used predicting landfill (COD BOD5)...

This research focused on analyzing the hydrological characteristics of Seolma stream watershed in Paju, Gyeonggi-do, South Korea. The study employed SWAT model to evaluate various components, including precipitation, evapotranspiration, runoff, soil moisture, and groundwater recharge. stream, a small mountainous was assessed for long-term runoff trends using data spanning from 2004 2023, which were then compared with observed records. also examined whether substituting rainfall observation...

Sustainable and adaptive water management strategies require holistic approaches to understand complex systems, mitigate risks from shifting weather patterns, manage disruptions hydrological cycles. The main objective of this study was modeling the impact climate change on resources vulnerability using machine learning (ML) SWAT model, leveraging CMIP6 Global Climate Models (GCMs) under Shared Socioeconomic Pathways (SSPs) in Upper Gilgel Gibe Watershed, Ethiopia. Six ML models were tested...

Global water demand due to population growth and agricultural development, has led widespread overexploitation of groundwater, particularly in semi-arid regions. Traditional hydrochemistry monitoring system still suffers from limited laboratory accessibility high costs. This study aims predict major ions including Ca²⁺, Mg²⁺, Na⁺, SO₄²⁻, Cl⁻, K⁺, HCO₃⁻, NO₃⁻, utilizing two field measurable parameters (i.e., total dissolved solids (TDS) mineralization (MIN)) Aflou_Syncline region, Algeria. A...

Augmenting water availability using water-harvesting structures is of importance in arid and semi-arid regions (ASARs). This paper provides an overview examines challenges prospects the sand dam application dry riverbeds ASARs. The technology filters protects from contamination evaporation with low to no maintenance cost. Sand dams improve socio-economy community help cope drought climate change. However, success depends on site selection, design, construction. ideal for a at transition...

Global water demand due to population growth and agricultural development has led widespread overexploitation of groundwater, particularly in semi-arid regions. The traditional hydrochemistry monitoring system still suffers from limited laboratory accessibility high costs. This study aims predict the major ions including Ca2+, Mg2+, Na+, SO42−, Cl−, K+, HCO3−, NO3−, utilizing two field-measurable parameters (i.e., total dissolved solids (TDS) mineralization (MIN)) Aflou syncline region,...

This study develops hourly water level forecasting models with lead-times of 1 to 3 h using an artificial neural network (ANN) for Anyangcheon stream, one the major tributaries Han River, South Korea. To consider backwater effect from this river, enhanced tributary model is proposed by adding multiple data on main river as input variables into conventional ANN structure which often uses rainfall and upstream data. Four types per each lead-time are built increasing complexity vector, their...

Identifying regional-scale surface water-groundwater interactions (SGI) is vital for predicting anthropogenic effects on water bodies and underlying aquifers. However, large-scale nutrient flux studies rely or groundwater-focused models. This study aims to model the effect of urbanization, which usually accompanied by high groundwater abstraction pollution, particularly in developing world, a SGI nitrate loading. In area, urban expansion increased over 3% last decade. The integrated...