Exploring machine learning potential for climate change risk assessment

F Zennaro, E Furlan, C Simeoni, S Torresan… - Earth-Science …, 2021 - Elsevier
Global warming is exacerbating weather, and climate extremes events and is projected to
aggravate multi-sectorial risks. A multiplicity of climate hazards will be involved, triggering …

[HTML][HTML] Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin …

S Talukdar, KU Eibek, S Akhter, SK Ziaul… - Ecological …, 2021 - Elsevier
Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …

Economic and socioecological perspectives of urban wetland loss and processes: A study from literatures

S Ghosh, S Pal - Environmental Science and Pollution Research, 2023 - Springer
Existing literatures across the world highlighted the causes and rate of wetland loss;
however, so far, no researches tried to analyze how these are guided by the socioeconomic …

A strategy to assess the uncertainty of a climate change impact on extreme hydrological events in the semi-arid Dehbar catchment in Iran

A Sharafati, E Pezeshki - Theoretical and Applied Climatology, 2020 - Springer
This study presents a robust approach to assess climate change impact variability on future
extreme events (eg, rainfall depth and river discharge) over Dehbar catchment in Iran …

Vulnerability assessment and management planning for the ecological environment in urban wetlands

X Yang, S Liu, C Jia, Y Liu, C Yu - Journal of Environmental Management, 2021 - Elsevier
As a special ecosystem in cities, urban wetland parks have important environmental
regulation and social service functions. This paper proposes a new methodology of urban …

Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh

ARMT Islam, S Talukdar, S Mahato, S Ziaul… - … Science and Pollution …, 2021 - Springer
Wetland risk assessment is a global concern especially in develo** countries like
Bangladesh. The present study explored the spatiotemporal dynamics of wetlands …

Natural and anthropogenic contributions to the elemental compositions and subsequent ecological consequences of a transboundary river's sediments (Punarbhaba …

S Hossain, R Khan, AH Anik, MAB Siddique… - Environmental …, 2023 - Elsevier
An anthropogenically less affected transboundary river (Punarbhaba, Bangladesh) was
studied to detect associated risks from the combined origin (s) of geochemically and …

Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree

R Costache, A Arabameri, H Moayedi… - Geocarto …, 2022 - Taylor & Francis
Flash floods pose a major challenge in various regions of the world, causing serious
damage to life and property. Here we investigated the Izvorul Dorului river basin from …

Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata

TK Saha, S Pal, R Sarkar - Ecological Informatics, 2021 - Elsevier
Wetlands are an integral part of the socio-ecological setup of the earth, but their fast
transformation beg careful consideration. In this regard, the flood plain wetlands of the …

Ecosystem health assessment of East Kolkata Wetlands, India: Implications for environmental sustainability

PK Yadav, P Jha, MS Joy, T Bansal - Journal of Environmental …, 2024 - Elsevier
Abstract The East Kolkata Wetlands (EKW) in Kolkata, India, span 12,500 ha and are a vital
ecological zone providing several benefits, including water purification, flood control, and …