AIMC Topic: Water Resources
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Enhancing the performance of data-driven models for monthly reservoir evaporation prediction.
Environmental science and pollution research international
Oct 14, 2020
The accuracy level for reservoir evaporation prediction is an important issue for decision making in the water resources field. The traditional methods for evaporation prediction could encounter numerous obstacles owing to the effect of several param...
Multi-period evaluation and selection of rural wastewater treatment technologies: a case study.
Environmental science and pollution research international
Aug 17, 2020
Rapid population growth and agricultural development are generating a considerable amount of effluents, which poses threats to the quality of rural water resources as well as sanitary conditions. However, with a range of rural wastewater treatment (W...
Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method.
International journal of environmental research and public health
Jul 10, 2020
Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China's future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applic...
Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India.
PloS one
May 21, 2020
A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales of drought information at six meteorological stations located in ...
Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery.
PloS one
May 7, 2020
To analyze types and patterns of greening trends across a city, this study seeks to identify a method of creating very high-resolution urban vegetation maps that scales over space and time. Vegetation poses unique challenges for image segmentation be...
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam.
International journal of environmental research and public health
Apr 4, 2020
The main aim of this study is to assess groundwater potential of the DakNong province, Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates Artificial Neural Networks (ANN) with RealAdaBoost (RAB) ensemble technique. F...
A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method.
Computational intelligence and neuroscience
Nov 9, 2017
Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collec...
Assessment of the water quality monitoring network of the Piabanha River experimental watersheds in Rio de Janeiro, Brazil, using autoassociative neural networks.
Environmental monitoring and assessment
Aug 7, 2017
Water quality monitoring is a complex issue that requires support tools in order to provide information for water resource management. Budget constraints as well as an inadequate water quality network design call for the development of evaluation too...
Comparison of models for predicting the changes in phytoplankton community composition in the receiving water system of an inter-basin water transfer project.
Environmental pollution (Barking, Essex : 1987)
Feb 10, 2017
Inter-basin water transfer projects might cause complex hydro-chemical and biological variation in the receiving aquatic ecosystems. Whether machine learning models can be used to predict changes in phytoplankton community composition caused by water...
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.
Environmental monitoring and assessment
Dec 19, 2015
Groundwater is considered one of the most valuable fresh water resources. The main objective of this study was to produce groundwater spring potential maps in the Koohrang Watershed, Chaharmahal-e-Bakhtiari Province, Iran, using three machine learnin...
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