Integrating new sea‐level scenarios into coastal risk and adaptation assessments: An ongoing process

RJ Nicholls, SE Hanson, JA Lowe… - Wiley …, 2021 - Wiley Online Library
The release of new and updated sea‐level rise (SLR) information, such as from the
Intergovernmental Panel on Climate Change (IPCC) Assessment Reports, needs to be …

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

AAM Ahmed, RC Deo, Q Feng, A Ghahramani, N Raj… - Journal of …, 2021 - Elsevier
Long-term forecasting of any hydrologic phenomena is essential for strategic environmental
planning, hydrologic and other forms of structural design, agriculture, and water resources …

A bibliometric review of urban energy metabolism: Evolutionary trends and the application of network analytical methods

M Tang, J Hong, S Guo, G Liu, GQ Shen - Journal of Cleaner Production, 2021 - Elsevier
Urban energy metabolism reflects the energy transmission and exchange process to
uncover the structure and functionality of urban activities. The literature on urban energy …

Economic, energy and environmental impact of coal-to-electricity policy in China: A dynamic recursive CGE study

B Lin, Z Jia - Science of The Total Environment, 2020 - Elsevier
In north China, many rural and urban residents still use coal for heating in winter. However,
such method would result in a large amount of GHG emissions. China intends to change the …

LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4. 5 and RCP8. 5 global warming scenarios

AAM Ahmed, RC Deo, A Ghahramani, N Raj… - … Research and Risk …, 2021 - Springer
Future soil moisture (SM) estimation is a practically useful task for eco-hydrologists,
agriculturists, and stakeholders in environment health monitoring to generate …

Deep learning forecasts of soil moisture: convolutional neural network and gated recurrent unit models coupled with satellite-derived MODIS, observations and …

AAM Ahmed, RC Deo, N Raj, A Ghahramani, Q Feng… - Remote Sensing, 2021 - mdpi.com
Remotely sensed soil moisture forecasting through satellite-based sensors to estimate the
future state of the underlying soils plays a critical role in planning and managing water …

[PDF][PDF] Ganges-Brahmaputra-Meghna delta, Bangladesh and India: a transnational mega-delta

MM Rahman, T Ghosh, M Salehin… - Deltas in the …, 2020 - library.oapen.org
The people of this region are mainly dependent on the agricultural sector, while people
living in the coastal belt are dependent on traditional monsoon rice cultivation as well as …

Heavy metals and Pb isotopes in a marine sediment core record environmental changes and anthropogenic activities in the Pearl River Delta over a century

C Shi, H He, Z Xia, H Gan, Q Xue, Z Cui… - Science of the Total …, 2022 - Elsevier
Heavy metal accumulation in marine sediments is associated with changes in both the
natural environment and human activities. This study used heavy metals and Pb isotopes in …

The spatial and temporal evolution of coordinated ecological and socioeconomic development in the provinces along the Silk Road Economic Belt in China

Y Yang, N Hu - Sustainable Cities and Society, 2019 - Elsevier
The ecological and socioeconomic conditions of the provinces along the Silk Road
Economic Belt (SREB) in China are quite different. Current research lacks a scientific …

A novel system for boosting land productivity and income of smallholder farmers by intercropping vegetables in waterlogged paddy fields in the coastal zone of the …

M Maniruzzaman, SK Sarangi, M Mainuddin… - Land Use Policy, 2024 - Elsevier
In the coastal zone of the Ganges Delta, in the wet season (June to November), rice is the
predominant crop due to extensive flooding, but the income is low and nutritional food …