Statistical analysis of the best GIS interpolation method for bearing capacity estimation in An-Najaf City, Iraq

SK Al-Mamoori, LA Al-Maliki, AH Al-Sulttani… - Environmental Earth …, 2021 - Springer
The presence of an economical solution to predict soil behaviour is essential for new
construction areas. This paper aims to investigate the ultimate interpolation method for …

A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam

HD Nguyen, B Quang-Thanh, QH Nguyen… - Hydrological …, 2022 - Taylor & Francis
This study aims to develop a comprehensive approach including an analysis of the
relationships between flood susceptibility and land-use change, based on the relevance …

The development of a road network flood risk detection model using optimised ensemble learning

B Abu-Salih, P Wongthongtham, K Coutinho… - … Applications of Artificial …, 2023 - Elsevier
Floods are natural phenomena that invade different parts of the globe annually, leaving
severe adverse effects on the natural landscape, particularly in areas where humans …

Machine learning and remote sensing application for extreme climate evaluation: example of flood susceptibility in the Hue Province, Central Vietnam Region

MC Ha, PL Vu, HD Nguyen, TP Hoang, DD Dang… - Water, 2022 - mdpi.com
Floods are the most frequent natural hazard globally and incidences have been increasing
in recent years as a result of human activity and global warming, making significant impacts …

Proposing artificial intelligence based livelihood vulnerability index in river islands

S Talukdar, S Pal, P Singha - Journal of Cleaner Production, 2021 - Elsevier
River island (locally charland) of Ganges river from Rajmahal hill to Farakka barrage in India
is the human occupancy of the river bank erosion evicted people, but these areas are under …

Landslide susceptibility assessment using statistical and machine learning techniques: A case study in the upper reaches of the Minjiang River, southwestern China

S Ling, S Zhao, J Huang, X Zhang - Frontiers in Earth Science, 2022 - frontiersin.org
Landslides have frequently occurred in deeply incised valleys in the upper reaches of the
Minjiang River. Long-term interactions between rock uplift and river undercutting developed …

Damming effects on trophic and habitat state of riparian wetlands and their spatial relationship

S Talukdar, S Pal, A Chakraborty, S Mahato - Ecological Indicators, 2020 - Elsevier
Damming over the river remarkably alters the downstream hydrological and ecological state
of the river and riparian wetlands. Considering this, the present work intended to explore the …

[HTML][HTML] Flash flood susceptibility modelling using soft computing-based approaches: from bibliometric to meta-data analysis and future research directions

G Hinge, MA Hamouda, MM Mohamed - Water, 2024 - mdpi.com
In recent years, there has been a growing interest in flood susceptibility modeling. In this
study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the …

[HTML][HTML] Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model

R Al-Ruzouq, A Shanableh, R Jena, MBA Gibril… - Geoscience …, 2024 - Elsevier
Flash floods (FFs) are amongst the most devastating hazards in arid regions in response to
climate change and can cause the loss of agricultural land, human lives and infrastructure …

Uncertainty reduction in Flood susceptibility mapping using Random Forest and eXtreme Gradient Boosting algorithms in two Tropical Desert cities, Shibam and Marib …

AR Al-Aizari, H Alzahrani, OF AlThuwaynee… - Remote Sensing, 2024 - mdpi.com
Flooding is a natural disaster that coexists with human beings and causes severe loss of life
and property worldwide. Although numerous studies for flood susceptibility modelling have …