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Journal of Hydroinformatics
Scopus
ISSN 1464-7141 · IWA Publishing · 374 artikel di indeks
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Artikel Jurnal
Using statistical and machine learning approaches to describe estuarine tidal dynamics
Estuaries are ecologically valuable regions where tidal forces move large volumes of water. To understand the ongoing physical processes in such dynamic systems, a series of estuarine monitoring stations is required. Based on the measurements, estuarine dynamics can be described by key values…
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Artikel Jurnal
Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management
Trash screens are used to prevent debris from entering critical parts of rivers. However, debris can accumulate on the screen and generate floods. This makes their monitoring critical both for maintenance and flood modeling purposes (e.g., local forecasts may change because the trash screen is…
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Artikel Jurnal
Estimating critical depth and discharge over sloping rough end depth using machine learning
This study uses machine learning (ML) to predict the end-depth structure's discharge and critical depth (yc). Linear regression, M5P, random forest, random tree, reduced error pruning tree, and Gaussian process (GP) are the ML methods used in this investigation. The findings indicate that the…
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Artikel Jurnal
Water quality emergency monitoring networks: A method for identifying non-critical variables based on Shannon's entropy
In the occurrence of environmental disasters involving water resources, deploying an emergency monitoring network for assessing water quality is within the first measures to be taken. Emergency networks usually cover a large set of water quality variables and monitoring stations along the…
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Artikel Jurnal
Multivariate adaptive regression splines-assisted approximate Bayesian computation for calibration of complex hydrological models
Approximate Bayesian computation (ABC) relaxes the need to derive explicit likelihood functions required by formal Bayesian analysis. However, the high computational cost of evaluating models limits the application of Bayesian inference in hydrological modeling. In this paper, multivariate adaptive…
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Artikel Jurnal
Evaluation of satellite rainfall estimates using PERSIANN-CDR and TRMM over three critical cells in Jordan
Effective management of water resources is heavily dependent on accurate knowledge of rainfall patterns. Satellite rainfall estimates (SREs) have become increasingly popular due to their ability to provide spatial rainfall data. However, the accuracy of SREs is limited by a variety of factors…
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Artikel Jurnal
Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting
The significance of improving rainfall prediction methods has escalated due to climate change-induced flash floods and severe flooding. In this study, rainfall nowcasting has been studied utilizing NASA Giovanni satellite-derived precipitation products and the convolutional long short-term memory…
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Artikel Jurnal
Smart River Information Services in managing Nile River navigation system
In terms of the significance of incorporating smart techniques into large river navigation systems to increase inland navigation competitiveness, this article introduces the development of smart River Information Services (RIS) in Egypt based on smart information and communication technologies as…
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Artikel Jurnal
Development and application of a mathematical model for calculating the discharge of non-standard thin-plate weirs in urban combined sewer overflow systems: a case study
The aim of this study is to address the issue of difficulty in evaluating the combined sewer overflow (CSO) pollution effectively, especially for the monitoring of overflow from non-standard thin-plate weirs (NTPWs). In order to construct a discharge calculation mathematical model (DCMM) of NTPWs…
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Artikel Jurnal
An enhanced method for automated end-use classification of household water data
An accurate estimation of residential end uses of water is helpful in developing efficient water systems. If not obtainable through direct metering, this information can be gathered by disaggregating and classifying household-level water-use data. However, most automated techniques require…
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Artikel Jurnal
Quality control of hourly rain gauge data based on radar and satellite multi-source data
Rain gauge networks provide direct precipitation measurements and have been widely used in hydrology, synoptic-scale meteorology, and climatology. However, rain gauge observations are subject to a variety of error sources, and quality control (QC) is required to ensure the reasonable use. In order…
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Artikel Jurnal
Daily reservoir inflow prediction using stacking ensemble of machine learning algorithms
The present study aims to evaluate the potentiality of Bidirectional Long Short-Term Memory (Bi-LSTM), Convolutional Neural Networks (CNNs), eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and Random Forest (RF) for predicting daily inflows to the Sri Ram Sagar Project…
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Artikel Jurnal
Construction of hydrological and hydrodynamic models based on ARM architecture processor – A case study of inner Harbor area of Macao Peninsula
Green computing is the current research hotspot; adapting the professional computing model to the low-power ARM architecture processor is a research trend. This article constructs a hydrological–hydrodynamic model by choosing SWMM and TELEMAC-2D as submodules, taking stormwater grates and…
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Artikel Jurnal
Sewer sediment deposition prediction using a two-stage machine learning solution
Sediment accumulation in the sewer is a source of cascading problems if left unattended and untreated, causing pipe failures, blockages, flooding, or odour problems. Good maintenance scheduling reduces dangerous incidents, but it also has financial and human costs. In this paper, we propose a…
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Artikel Jurnal
Detecting and locating chemical intrusion in water distribution systems using 911 calls
Intentional or unintentional chemical contamination of water distribution systems (WDSs) could have severe health and socio-economic consequences. High potency chemicals constituting, in essence, “super poisons” have the potential to be used in such intrusion scenarios. Some of these contaminants…
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Artikel Jurnal
Machine learning approaches for anomalous storm pattern identification
Anomaly detection is used to explore the link between data-driven anomalous storms and their socio-economic impact on countries within the North-West Pacific. Three anomaly detection models are trialled using three distinct algorithms on the storm tracks and temperature profiles of storms. A…
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Artikel Jurnal
Improving incomplete mixing modeling for junctions of water distribution networks
Most of the existing water quality models for water distribution networks assume complete mixing at junctions. Albeit few models offer the possibility to consider incomplete mixing (IM) at junctions, most of them were developed under laboratory conditions and for equal pipe size junctions. In…
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Artikel Jurnal
Discharge modeling and characteristic analysis of semi-circular side weir based on the soft computing method
In this study, a support vector machine (SVM) and three optimization algorithms are used to develop a discharge coefficient (Cd) prediction model for the semi-circular side weir (SCSW). After that, we derived the input and output parameters of the model by dimensionless analysis as the ratio of the…
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Artikel Jurnal
EWT_Informer: a novel satellite-derived rainfall–runoff model based on informer
An accurate rainfall–runoff observation is critical for giving a warning of a potential damage early enough to allow appropriate response to the disaster. The long short-term memory (LSTM)-based rainfall–runoff model has been proven to be effective in runoff prediction. Previous research has…
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Artikel Jurnal
A two-dimensional hydrodynamic urban flood model based on equivalent drainage of manholes
Numerical simulations of urban flood events are of great significance in flood control and disaster reduction. An important part of these numerical investigations concerns drainage, which is crucial to the accuracy of the simulation results. To overcome the difficulty of obtaining underground pipe…