Mineral exploration and the green transition: Opportunities and challenges for the mining industry
Z An, Y Zhao, Y Zhang - Resources Policy, 2023 - Elsevier
In order to fulfill the rising demand for minerals to support global economic growth and
create a sustainable future, the mining sector must simultaneously overcome hitherto …
create a sustainable future, the mining sector must simultaneously overcome hitherto …
How does the climate change effect on hydropower potential, freshwater fisheries, and hydrological response of snow on water availability?
Globally there is already a lot of pressure on water resources because of climate change,
economic development, as well as an increasing global populace. Many rivers originate in …
economic development, as well as an increasing global populace. Many rivers originate in …
Quantifying the impacts of climate and land cover changes on the hydrological regime of a complex dam catchment area
MU Masood, S Haider, M Rashid, MS Aldlemy… - Sustainability, 2023 - mdpi.com
In this study, hydrological modeling at the watershed level is used to assess the impacts of
climate and land use changes on the catchment area of the Khanpur Dam, which is an …
climate and land use changes on the catchment area of the Khanpur Dam, which is an …
GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach
The May 2nd and 3rd, 2023 landslide in Rwanda's Western Province caused a devastating
natural disaster, resulting in the tragic loss of 95 lives. Ngororero, Rubavu, Nyabihu, and …
natural disaster, resulting in the tragic loss of 95 lives. Ngororero, Rubavu, Nyabihu, and …
A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility mapping in the west of Iran
Y Shen, A Ahmadi Dehrashid, RA Bahar… - … Science and Pollution …, 2023 - Springer
Detecting and mapping landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
Development of the artificial neural network's swarm-based approaches predicting East Azerbaijan landslide susceptibility mapping
Y Sun, H Dai, L Xu, A Asaditaleshi… - Environment …, 2023 - Springer
The objective of this investigation is to produce maps identifying areas prone to landslides
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …
Land subsidence susceptibility mapping: comparative assessment of the efficacy of the five models
Land subsidence (LS) as a major geological and hydrological hazard poses a major threat
to safety and security. The various triggers of LS include intense extraction of aquifer bodies …
to safety and security. The various triggers of LS include intense extraction of aquifer bodies …
Machine-learning-based lithosphere-atmosphere-ionosphere coupling associated with Mw> 6 earthquakes in America
The identification of atmospheric and ionospheric variations through multiple remote
sensing and global navigation satellite systems (GNSSs) has contributed substantially to the …
sensing and global navigation satellite systems (GNSSs) has contributed substantially to the …
A comprehensive study on the synchronized outgoing longwave radiation and relative humidity anomalies related to global Mw≥ 6.5 earthquakes
M Shah, MU Draz, T Saleem - Natural Hazards, 2024 - Springer
Remote Sensing (RS) provides significant insights for the monitoring of natural disasters like
earthquakes for pre-and post-seismic precursors around the seismogenic regions. The …
earthquakes for pre-and post-seismic precursors around the seismogenic regions. The …
Optimal risk-driven operation of renewable-penetrated distribution network during natural-disasters: A resiliency-oriented analysis
W Mingming, L Zhaoheng, M Konstantin - Sustainable Cities and Society, 2023 - Elsevier
The increasing penetration of renewable energy sources in distribution networks has
brought new challenges in ensuring reliable and resilient operation during natural disasters …
brought new challenges in ensuring reliable and resilient operation during natural disasters …