[HTML][HTML] Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey

S Giannakidou, P Radoglou-Grammatikis, T Lagkas… - Internet of Things, 2024 - Elsevier
Forest fires are a persistent global problem, causing devastating consequences such as loss
of human lives, harm to the environment, and substantial economic losses. To mitigate these …

Trends in species distribution modelling in context of rare and endemic plants: a systematic review

AW Qazi, Z Saqib, M Zaman-ul-Haq - Ecological Processes, 2022 - Springer
Background Many research papers have utilized Species Distribution Models to estimate a
species' current and future geographic distribution and environmental niche. This study aims …

Climate change impact on major crop yield and water footprint under CMIP6 climate projections in repeated drought and flood areas in Thailand

N Arunrat, S Sereenonchai, W Chaowiwat… - Science of the Total …, 2022 - Elsevier
Understanding crop yield and water requirements in response to the future climate at the
local scale is essential to develop more precise and appropriate adaptation strategies. From …

Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia

Z Iqbal, S Shahid, K Ahmed, T Ismail, GF Ziarh… - Atmospheric …, 2021 - Elsevier
Global climate models (GCMs) of Coupled Model Intercomparison Project 6 (CMIP6) has
designed with new socioeconomic pathway scenarios to incorporate the socioeconomic …

Comparison of CMIP6 and CMIP5 model performance in simulating historical precipitation and temperature in Bangladesh: a preliminary study

M Kamruzzaman, S Shahid, ARMT Islam… - Theoretical and Applied …, 2021 - Springer
The relative performance of global climate models (GCMs) of phases 5 and 6 of the coupled
model intercomparison project (CMIP5 and CMIP6, respectively) was assessed in this study …

Projection of temperature and precipitation in the Mediterranean region through multi-model ensemble from CMIP6

M Seker, V Gumus - Atmospheric Research, 2022 - Elsevier
In this study, future projections of monthly total precipitation and monthly average
temperatures are carried out using 22 global circulation models (GCMs) from phase 6 of the …

An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical …

W Wang, Q Cheng, K Chau, H Hu, H Zang, D Xu - Journal of Hydrology, 2023 - Elsevier
Reliable runoff prediction plays a significant role in reservoir scheduling, water resources
management, and efficient utilization of water resources. To effectively enhance the …

Assessing hydrological performance for optimized integrated grey-green infrastructure in response to climate change based on shared socio-economic pathways

M Wang, M Liu, D Zhang, Y Zhang, J Su, S Zhou… - Sustainable Cities and …, 2023 - Elsevier
Integrated grey-green infrastructure (IGGI) is considered as a promising facility for mitigating
urban flooding during extreme rainfall events. However, most IGGI strategies rely heavily on …

Evaluation and projection of precipitation in Pakistan using the Coupled Model Intercomparison Project Phase 6 model simulations

A Abbas, S Ullah, W Ullah, M Waseem… - International Journal …, 2022 - Wiley Online Library
This study aimed to evaluate the performance of global climate models (GCMs) from the
family of the Coupled Model Intercomparison Project Phase 6 (CMIP6) in the historical …

[PDF][PDF] A novel selection method of CMIP6 GCMs for robust climate projection

MM Hamed, MS Nashwan… - International Journal of …, 2022 - researchgate.net
The selection of Global climate models (GCMs) is a major challenge for reliable projection of
climate. A novel method is introduced in this study to select couple model intercomparison …