Remote data for mapping and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

Climate change and human health in Vietnam: a systematic review and additional analyses on current impacts, future risk, and adaptation

NQL Tran, HTCH Le, CT Pham, XH Nguyen… - The Lancet Regional …, 2023 - thelancet.com
This study aims to investigate climate change's impact on health and adaptation in Vietnam
through a systematic review and additional analyses of heat exposure, heat vulnerability …

Urban flood risk assessment in Zhengzhou, China, based on a D-number-improved analytic hierarchy process and a self-organizing map algorithm

Z Wu, W Xue, H Xu, D Yan, H Wang, W Qi - Remote Sensing, 2022 - mdpi.com
Flood risk assessment is an important tool for disaster warning and prevention. In this study,
an integrated approach based on a D-number-improved analytic hierarchy process (D-AHP) …

Living with urban flooding: A continuous learning process for local municipalities and lessons learnt from the 2021 events in Germany

B Bosseler, M Salomon, M Schlüter, M Rubinato - Water, 2021 - mdpi.com
In 2021, heavy precipitation events in Germany have confirmed once again that pluvial
flooding can cause catastrophic damage in large, medium, and small cities. However …

A novel combination of Deep Neural Network and Manta Ray Foraging Optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

HD Nguyen, QH Nguyen, QVV Du… - Geocarto …, 2022 - Taylor & Francis
Floods are the most dangerous natural disasters globally, occurring on a large scale, and
cause significant economic and environmental damage. Therefore, determining flood …

A novel flood risk management approach based on future climate and land use change scenarios

HD Nguyen, QH Nguyen, DK Dang, CP Van… - Science of the Total …, 2024 - Elsevier
Climate change and increasing urbanization are two primary factors responsible for the
increased risk of serious flooding around the world. The prediction and monitoring of the …

Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing

Y Zhang, Z Zhou, J Van Griensven Thé, SX Yang… - Water, 2023 - mdpi.com
Climate change and urbanization have increased the frequency of floods worldwide,
resulting in substantial casualties and property loss. Accurate flood forecasting can offer …

Predictive analytics: a survey, trends, applications, opportunities' and challenges for smart city planning

C Yun, M Shun, U Junta, I Browndi - International Journal of …, 2022 - papers.ssrn.com
Predictive analysis is an advanced branch of data engineering which generally predicts
some occurrence or probability based on data. Predictive analytics uses data-mining …

Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine …

HD Nguyen, DK Dang, QH Nguyen, QT Bui… - Geocarto …, 2022 - Taylor & Francis
The crucial importance of land cover and use changes and climate changes for worldwide
sustainability results from their negative effects on flood risk. In a watershed, a particularly …

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 …