A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India

D Ruidas, R Chakrabortty, ARMT Islam, A Saha… - Environmental earth …, 2022 - Springer
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 …

Urban stormwater characterization, control, and treatment

CM Rodak, AD Jayakaran, TL Moore… - Water environment …, 2020 - Wiley Online Library
This review summarizes over 280 studies published in 2019 related to the characterization,
control, and management of urban stormwater runoff. A summary of quantity and quality …

[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 …

Combined use of the hydraulic and hydrological methods to calculate the environmental flow: Wisloka river, Poland: case study

L Książek, A Woś, J Florek, M Wyrębek… - Environmental …, 2019 - Springer
The scarcity of water can result in a direct conflict between the protection of aquatic
resources and water use. For many agencies, environmental flow (EF) methods are …

Long-short term memory technique for monthly rainfall prediction in Thale Sap Songkhla River Basin, Thailand

N Salaeh, P Ditthakit, S Pinthong, MA Hasan, S Islam… - Symmetry, 2022 - mdpi.com
Rainfall is a primary factor for agricultural production, especially in a rainfed agricultural
region. Its accurate prediction is therefore vital for planning and managing farmers' …

[HTML][HTML] Machine learning approaches for reconstructing gridded precipitation based on multiple source products

GV Nguyen, XH Le, LN Van, S Jung, G Lee - Journal of Hydrology …, 2023 - Elsevier
Abstract Study region South Korea is situated in the northeastern region of Asia Study focus:
Recent technological developments have enabled multi-source precipitation products …

Sensitivity analysis of the rainfall–runoff modeling parameters in data-scarce urban catchment

HA Ballinas-González, VH Alcocer-Yamanaka… - Hydrology, 2020 - mdpi.com
Rainfall–runoff phenomena are among the main processes within the hydrological cycle. In
urban zones, the increases in imperviousness cause increased runoff, originating floods. It is …

An empirical-based rainfall-runoff modelling using optimization technique

B Roy, MP Singh - International journal of river basin management, 2020 - Taylor & Francis
This study proposes a new hybrid biogeography-based optimization (BBO) technique to
achieve a better balance between exploitation and exploration sides of BBO. The proposed …

An urban acoustic rainfall estimation technique using a CNN inversion approach for potential smart city applications

MII Alkhatib, A Talei, TK Chang, VRN Pauwels… - Smart Cities, 2023 - mdpi.com
The need for robust rainfall estimation has increased with more frequent and intense floods
due to human-induced land use and climate change, especially in urban areas. Besides the …

Hydrological early warning system based on a deep learning runoff model coupled with a meteorological forecast

A de la Fuente, V Meruane, C Meruane - Water, 2019 - mdpi.com
The intensification of the hydrological cycle because of global warming raises concerns
about future floods and their impact on large cities where exposure to these events has also …