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Journal of Water and Climate Change
Scopus
ISSN 2040-2244 · IWA Publishing · 854 artikel di indeks
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Artikel Jurnal
AI-driven improvement of monthly average rainfall forecasting in Mecca using grid search optimization for LSTM networks
Predicting the average monthly rainfall in Mecca is crucial for sustainable development, resource management, and infrastructure protection in the region. This study aims to enhance the accuracy of long short-term memory (LSTM) deep regression models used for rainfall forecasting using an advanced…
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Artikel Jurnal
Greenhouse gas emissions from sanitation and wastewater management systems: a review
There is growing awareness of the contribution of sanitation systems to greenhouse gas (GHG) emissions globally, and hence to climate change. However, there is a lack of comprehensive insight into emission sources disaggregated across the entire sanitation chain. This study presents a detailed…
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Artikel Jurnal
Land use changes and climate parameters assessments in a tropical highland region of Cameron Highlands, Malaysia
Tropical highland regions are susceptible to climate change and natural disasters due to their geographical location and hilly terrain. The objectives of this study are to determine land use land cover (LULC) changes in the Cameron Highlands and analyse the climatic parameters of the Cameron…
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Artikel Jurnal
Comparison of machine learning models for flood forecasting in the Mahanadi River Basin, India
Developing accurate flood forecasting models is necessary for flood control, water resources and management in the Mahanadi River Basin. In this study, convolutional neural network (CNN) is integrated with random forest (RF) and support vector regression (SVR) for making a hybrid model (CNN–RF and…
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Artikel Jurnal
Modeling run-off flow hydrographs using remote sensing data: an application to the Bashar basin, Iran
Precipitation is hard to access in countries like Iran, due to inadequate number of rain gauge stations. Remote sensing provides an alternative source of rainfall estimation. In this study, the effectiveness of the HEC-HMS model was evaluated using GPM (Global Precipitation Measurement Mission)…
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Artikel Jurnal
Deep learning modeling framework for multi-resolution streamflow generation
Generating continuous streamflow information through integrated climate-hydrology modeling at fine spatial scales of the order of a few kilometers is often challenged by computational costs associated with running high-resolution (HR) climate models. To address this challenge, the present study…
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Artikel Jurnal
Experimental investigation of the efficiency of stone revetment for different temporal variations with the static water condition
The objective of this study is to determine the optimum size of stone revetment for different water standing durations and critical drawdown rates for 80% height of flood. The model bank was constructed using soil sourced from the Parlalpur ferry ghat of the Ganga River in Kaliachak, West Bengal…
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Artikel Jurnal
Assessment of microbial water treatment by direct solar radiation disinfection approach
The solar sterilization treatment innovation method can be implemented within households to address water pollution, especially those contaminants caused by microorganisms that may lead to waterborne illnesses. During review, water sources in the local area were assessed for turbidity and microbial…
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Artikel Jurnal
Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework
The present study analyzes the capability of convolutional neural network (CNN), long short-term memory (LSTM), CNN-LSTM, fuzzy CNN, fuzzy LSTM, and fuzzy CNN-LSTM to mimic streamflow for Lower Godavari Basin, India. Kling–Gupta efficiency (KGE) was used to evaluate these algorithms. Fuzzy-based…
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Artikel Jurnal
Hydrological assessment of the Gundlakamma sub-basin through SWAT modeling: integration of land use land cover (LULC) and climate changes
Gundlakamma sub-basin faces challenges with increasing water demand and climate change impacts, requiring innovative solutions for sustainable water management. The study was conducted to improve the long-term utilization of water resources in Andhra Pradesh. To accomplish this, the study attempts…
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Artikel Jurnal
Evaluation of mine water quality based on the PCA–PSO–BP model
To enhance the mining area's overall use of mine water in the arid area of Western China and mitigate the current water scarcity problem, this paper introduces an intelligent optimization algorithm and neural network for mine water quality evaluation and proposes a principal component analysis…
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Artikel Jurnal
Temporal variation in glacier surface area and glacial lakes in glaciated river basins of Arunachal Pradesh
Climate change-induced glacier recession has sparked a dynamic transformation of glaciers in high-mountain areas worldwide, resulting in genesis, expansion, and dissipation of glacial lakes that pose a potential threat to downstream communities, underscoring the need for regular monitoring. This…
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Artikel Jurnal
Accounting for climate change in water infrastructure design: evaluating approaches and recommending a hybrid framework
A traditional hydrologic water infrastructure design assumes that the climate is stationary, and that historic data reflect future conditions. The traditional approach may no longer be applicable since the earth's climate is not stationary. Thus, there is a need for a new way of designing water…
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Artikel Jurnal
Analysis of the effect of rainfall center location on the flash flood process at the small basin scale
With the increasing frequency of extreme convective weather, the spatial–temporal variability of rainfall becomes more diversified. As a result of the insufficient quality of rainfall monitoring data in mountainous areas, the flash flood simulation usually does not consider the effect of the…
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Artikel Jurnal
Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model
Accurate prediction of monthly runoff is critical for effective water resource management and flood forecasting in river basins. In this study, we developed a hybrid deep learning (DL) model, Fourier transform long short-term memory (FT-LSTM), to improve the prediction accuracy of monthly discharge…
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Artikel Jurnal
Investigating the vulnerability of the northern coasts of Iran due to changes in the water level of the Caspian Sea by considering the effects of climate change
Coastal aquifers are one of the most important sources of water supply, and it is expected that the effects of climate change will be one of their threatening factors in the short or long term. The present study was conducted in the northern coasts of Iran (Amirabad, Babolsar) and the main goal was…
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Artikel Jurnal
Deriving location-specific synthetic seasonal hyetographs using GPM records and comparing with SCS curves
The hyetograph represents the temporal spread of rainfall intensity occurring at a point or over a watershed during a storm. The importance of regionally derived/developed hyetographs and the pooled sets of categorical seasonal curves on intensity-duration, intensity-depth, and depth-duration are…
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Artikel Jurnal
Selection of representative general circulation models under climatic uncertainty for Western North America
Climate change research uses an ensemble of general circulation model runs (GCMs-runs) to predict future climate under uncertainties. To reduce computational costs, this study selects representative GCM-runs (RGCM-runs) for Western North America (WNA) based on their performance in replicating…
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Artikel Jurnal
Hydroclimatic projection: statistical learning and downscaling model for rainfall and runoff forecasting
The study is carried out to investigate the surface runoff depth with changing precipitation due to climate change in the study area where sandy loam and loamy soil are dominant. In this study, future rainfall is projected by a statistical downscaling model (SDSM) using a set of predictors derived…
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Artikel Jurnal
Modeling surface water potential using the SWAT model combined with principal component analysis in the ungauged Gelana watershed, Ethiopia
This study aims to model and assess surface water potential in an ungauged watershed using the Soil and Water Assessment Tool (SWAT), principal component analysis (PCA), and regression-based regionalization techniques in the Gelana River, Ethiopia. The SWAT model was calibrated (and validated) for…