Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …
animals, and people. Over the last decades, gradual changes in drought indices have been …
Modeling potential evapotranspiration by improved machine learning methods using limited climatic data
Modeling potential evapotranspiration (ET0) is an important issue for water resources
planning and management projects involving droughts and flood hazards …
planning and management projects involving droughts and flood hazards …
Modeling various drought time scales via a merged artificial neural network with a firefly algorithm
B Mohammadi - Hydrology, 2023 - mdpi.com
Drought monitoring and prediction have important roles in various aspects of hydrological
studies. In the current research, the standardized precipitation index (SPI) was monitored …
studies. In the current research, the standardized precipitation index (SPI) was monitored …
Substantial increase in abrupt shifts between drought and flood events in China based on observations and model simulations
Drought-flood abrupt alternation (DFAA) refers to the rapid transformation between droughts
and floods, posing serious threats to ecological security, food production, and human safety …
and floods, posing serious threats to ecological security, food production, and human safety …
[HTML][HTML] Performance of machine learning techniques for meteorological drought forecasting in the Wadi Mina Basin, Algeria
Water resources, land and soil degradation, desertification, agricultural productivity, and
food security are all adversely influenced by drought. The prediction of meteorological …
food security are all adversely influenced by drought. The prediction of meteorological …
Modeling multistep ahead dissolved oxygen concentration using improved support vector machines by a hybrid metaheuristic algorithm
Dissolved oxygen (DO) concentration is an important water-quality parameter, and its
estimation is very important for aquatic ecosystems, drinking water resources, and agro …
estimation is very important for aquatic ecosystems, drinking water resources, and agro …
[HTML][HTML] Evaluating the BFAST method to detect and characterise changing trends in water time series: A case study on the impact of droughts on the Mediterranean …
Mediterranean climate regions are facing increased aridity conditions and water scarcity,
thus needing integrated management of water resources. Detecting and characterising …
thus needing integrated management of water resources. Detecting and characterising …
Climate transition risk and bank performance: Evidence from China
S Li, Z Pan - Journal of Environmental Management, 2022 - Elsevier
Under the “carbon peaking and carbon neutrality goals”, China's commercial banks are
facing a severe climate transition risk. This paper proposes a climate transition risk …
facing a severe climate transition risk. This paper proposes a climate transition risk …
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
The total quantity of solar energy falling on a horizontal plane surface is the global solar
exposure (GSE, ie, total solar energy). Precise forecasting of GSE is important in many fields …
exposure (GSE, ie, total solar energy). Precise forecasting of GSE is important in many fields …
Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm
Recently, researchers have prioritized the accurate forecasting of the particulate matter (PM)
air quality indicators PM 2.5 and PM 10 in urban and industrial locations due to their …
air quality indicators PM 2.5 and PM 10 in urban and industrial locations due to their …