Ensemble machine learning paradigms in hydrology: A review
Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model
J Lin, P He, L Yang, X He, S Lu, D Liu - Sustainable Cities and Society, 2022 - Elsevier
Urban waterlogging is a severe hazard that can directly damage environmental quality and
human well-being. It would be desirable for hazard mitigation planning and sustainable …
human well-being. It would be desirable for hazard mitigation planning and sustainable …
Evaluating the association between morphological characteristics of urban land and pluvial floods using machine learning methods
J Lin, W Zhang, Y Wen, S Qiu - Sustainable Cities and Society, 2023 - Elsevier
Spatial pattern of urban land plays a significant role in the occurrence of pluvial floods. While
landscape metrics have been widely used to reflect land use spatial patterns, the …
landscape metrics have been widely used to reflect land use spatial patterns, the …
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility mapping can …
flood-prone area has also become a top priority. The flash flood-susceptibility mapping can …
[HTML][HTML] Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future
The predicts current and future flood risk in the Kalvan watershed of northwestern Markazi
Province, Iran. To do this, 512 flood and non-flood locations were identified and mapped …
Province, Iran. To do this, 512 flood and non-flood locations were identified and mapped …
Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms
Recurrent floods are one of the major global threats among people, particularly in
developing countries like India, as this nation has a tropical monsoon type of climate …
developing countries like India, as this nation has a tropical monsoon type of climate …
[HTML][HTML] Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Multi-hazard susceptibility prediction is an important component of disasters risk
management plan. An effective multi-hazard risk mitigation strategy includes assessing …
management plan. An effective multi-hazard risk mitigation strategy includes assessing …
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
Y Chen, W Chen, S Chandra Pal, A Saha… - Geocarto …, 2022 - Taylor & Francis
Delineation of the groundwater's potential zones is a growing phenomenon worldwide due
to the high demand for fresh groundwater. Therefore, the identification of potential …
to the high demand for fresh groundwater. Therefore, the identification of potential …
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Episodes of frequent flooding continue to increase, often causing serious damage and tools
to identify areas affected by such disasters have become indispensable in today's society …
to identify areas affected by such disasters have become indispensable in today's society …
The prediction of WWTP influent characteristics: Good practices and challenges
M Andreides, P Dolejš, J Bartáček - Journal of Water Process Engineering, 2022 - Elsevier
The prediction of influent characteristics using state-of-the-art mathematical models can help
optimize wastewater treatment plants (WWTP) processes. However, WWTP operators lack …
optimize wastewater treatment plants (WWTP) processes. However, WWTP operators lack …