Analysis of potential nature-based solutions for the Mun River Basin, Thailand

J Penny, PBR Alves, Y De-Silva, AS Chen… - Water Science & …, 2023 - iwaponline.com
Despite the growth in research and applications of nature-based solutions (NBS) within the
literature, there are limited applications in South East Asia, moreover studies which …

Application of new HEC-RAS version 5 for 1D hydrodynamic flood modeling with special reference through geospatial techniques: a case of River Purna at Navsari …

AI Pathan, PG Agnihotri - Modeling Earth Systems and Environment, 2021 - Springer
Floods are among the extreme natural events which result in catastrophic damage to
properties and adversely effects communities. To curb and manage the effects of such …

Flood modelling for a data-scare semi-arid region using 1-D hydrodynamic model: a case study of Navsari Region

DJ Mehta, S Eslamian, K Prajapati - Modeling Earth Systems and …, 2022 - Springer
Floods can cause widespread devastation, resulting in loss of life and damages to personal
property and critical public health infrastructure. River flooding is the most common type of …

Watershed prioritization of kaeng lawa sub-watershed, khon kaen Province using the morphometric and land-use analysis: a case study of heavy flooding caused by …

K Waiyasusri, S Chotpantarat - Water, 2020 - mdpi.com
During 29–31 September 2019, tropical storm Podul moved into the Kaeng Lawa sub-
watershed (KLs), the upstream area of the Chi watershed, causing the worst flooding in 40 …

[HTML][HTML] Using multi criteria decision analysis in a geographical information system framework to assess drought risk

J Penny, D Khadka, PBR Alves, AS Chen, S Djordjević - Water Research X, 2023 - Elsevier
In this study we use the Mun river basin to demonstrate how a Multi Criteria Decision
Analysis–Geographical Information Systems (MCDA-GIS) methodology can be used to …

GIS-based flood susceptibility map** of the lower Bagmati basin in Bihar, using Shannon's entropy model

S Islam, M Tahir, S Parveen - Modeling Earth Systems and Environment, 2022 - Springer
Floods are the most recurrent weather-related natural disaster causing widespread
devastation. In India, about 12% of the land is prone to flood and river erosion where Bihar is …

Using public participation within land use change scenarios for analysing environmental and socioeconomic drivers

J Penny, S Djordjević, AS Chen - Environmental Research Letters, 2022 - iopscience.iop.org
This paper aims to improve the understanding of environmental and socioeconomic drivers
on land use change (LUC) through public participation (PP), and provide recommendations …

[HTML][HTML] Investigating major causes of extreme floods using global datasets: A case of Nepal, USA & Thailand

NS Fernando, S Shrestha, KC Saurav… - Progress in disaster …, 2022 - Elsevier
In recent years, the damages caused by flooding has been severe globally, and several
research studies indicated extreme precipitations and changes in land-use plays a crucial …

Assessing the impact of flood inundation dynamics on an urban environment

P Gao, W Gao, N Ke - Natural Hazards, 2021 - Springer
This study attempted to examine the complex impact of dynamic inundation process of
extreme events on flood hazard assessment (FHA) for the affected urban settings around a …

[PDF][PDF] Flood Damage Assessment Geospatial Application Using Geoinformatics and Deep Learning Classification.

S Puttinaovarat, A Saeliw, S Pruitikanee… - International Journal of …, 2022 - academia.edu
The data of impacts and damage caused by floods is necessary for manipulation to assist
and relieve those impacts in each area. The main issue for data acquisition was acquisition …