Urban flood numerical simulation: Research, methods and future perspectives

P Luo, M Luo, F Li, X Qi, A Huo, Z Wang, B He… - … Modelling & Software, 2022 - Elsevier
Urban flooding has become an increasingly frequent and fatal natural hazard and numerical
modeling techniques play a vital role in its prediction and management. We review urban …

[HTML][HTML] Soil moisture measuring techniques and factors affecting the moisture dynamics: A comprehensive review

MW Rasheed, J Tang, A Sarwar, S Shah, N Saddique… - Sustainability, 2022 - mdpi.com
The amount of surface soil moisture (SSM) is a crucial ecohydrological natural resource that
regulates important land surface processes. It affects critical land–atmospheric phenomena …

Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis

R Costache, TT Tin, A Arabameri, A Crăciun, RS Ajin… - Journal of …, 2022 - Elsevier
The present study was done in order to simulate the flash-flood susceptibility across the
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …

Novel evolutionary-optimized neural network for predicting landslide susceptibility

RM Adnan Ikram, I Khan, H Moayedi… - Environment …, 2024 - Springer
In order to mitigate/prevent the risks of landslides, one of the essential tools that can be used
to manage and plan the development of human settlements is landslide susceptibility. The …

A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping

H Moayedi, AA Dehrashid - Environmental Science and Pollution …, 2023 - Springer
In this research, to predict landslide susceptibility mapping (LSM), we have studied and
optimized an artificial neural network (ANN) by utilizing the backtracking search algorithm …

Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain

H Moayedi, M Salari, AA Dehrashid, BN Le - … Environmental Research and …, 2023 - Springer
In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …

Analysis of hydrochemical characteristics and genesis of water-deficient rivers in China: a case study of the Ciyao River Basin in Shanxi Province

H Xiao-Mei, Y Jin, L Chao, F Xiao-Jun… - Quality Assurance and …, 2023 - qascf.com
In order to explore the chemical water characteristics of water-scarce rivers in China, the
Ciyao River basin in Shanxi Province was taken as a case study. Water samples of the …

Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine …

S Zhang, AH Omar, AS Hashim, T Alam, HAEW Khalifa… - Urban Climate, 2023 - Elsevier
Urban groundwater influences a wide range of processes in the natural world, including
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …

A new urban hydrological model considering various land covers for flood simulation

C Hu, J Xia, D She, Z Song, Y Zhang, S Hong - Journal of Hydrology, 2021 - Elsevier
Rapid urbanization has great potential to adversely impact the local hydrological cycle, the
environment, and ecosystems, as well as trigger severe problems, such as urban flooding …

[HTML][HTML] Comparative study of machine learning methods and GR2M model for monthly runoff prediction

P Ditthakit, S Pinthong, N Salaeh, J Weekaew… - Ain Shams Engineering …, 2023 - Elsevier
Monthly runoff time-series estimation is imperative information for water resources planning
and development projects. This article aims to comparatively investigate the applicability of …