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View article: Boosting Efficiency: Optimizing Pumped-Storage Power Station Operation by a Mixed Integer Linear Programming Approach
Boosting Efficiency: Optimizing Pumped-Storage Power Station Operation by a Mixed Integer Linear Programming Approach Open
The inherent variability and unpredictability of renewable energy output pose significant challenges to power grid stability. Pumped Storage Power Stations (PSPS) play a pivotal role in mitigating these challenges, enhancing the grid’s rel…
View article: Intelligent Urban Flood Management Using Real-Time Forecasting, Multi-Objective Optimization, and Adaptive Pump Operation
Intelligent Urban Flood Management Using Real-Time Forecasting, Multi-Objective Optimization, and Adaptive Pump Operation Open
Climate-induced extreme rainfall events are increasing the intensity and frequency of flash floods, highlighting the urgent need for advanced flood management systems in climate-resilient cities. This study introduces an Intelligent Flood …
View article: Detection of anti-AD active ingredients from Huai yam using surface plasmon resonance technology and mechanistic exploration based on ERβ-harmonized inflammation and autophagy
Detection of anti-AD active ingredients from Huai yam using surface plasmon resonance technology and mechanistic exploration based on ERβ-harmonized inflammation and autophagy Open
Huai yam is a model of “medicinal and edible homology” plants in China that have been used to treat Alzheimer's disease (AD) for a long time. This study prepared the AD model using 5 × FAD transgenic mice, explore the active ingredients an…
View article: Reducing Carbon Emissions: A Multi-Objective Approach to the Hydropower Operation of Mega Reservoirs
Reducing Carbon Emissions: A Multi-Objective Approach to the Hydropower Operation of Mega Reservoirs Open
Optimizing the joint drawdown operation of mega reservoirs presents a significant opportunity to enhance the comprehensive benefits among hydropower output, water release, and carbon emission reduction. However, achieving the complementary…
View article: Enhancing multi-step-ahead algal bloom forecasts in river ecosystems by a hybrid recursive deep learning model
Enhancing multi-step-ahead algal bloom forecasts in river ecosystems by a hybrid recursive deep learning model Open
River algal blooms pose a significant environmental threat, necessitating accurate forecasts and timely warnings for effective prevention. This study proposes a novel hybrid model, combining an external recursive long short-term memory neu…
View article: An Artificial Intelligence-Powered Environmental Control System for Resilient and Efficient Greenhouse Farming
An Artificial Intelligence-Powered Environmental Control System for Resilient and Efficient Greenhouse Farming Open
The rise in extreme weather events due to climate change challenges the balance of supply and demand for high-quality agricultural products. In Taiwan, greenhouse cultivation, a key agricultural method, faces increasing summer temperatures…
View article: Integration strategies involving 16S rDNA sequencing combined with untargeted metabolomics revealed the mechanism of Selaginella tamariscina (Beauv.) Spring in db/db diabetic mice
Integration strategies involving 16S rDNA sequencing combined with untargeted metabolomics revealed the mechanism of Selaginella tamariscina (Beauv.) Spring in db/db diabetic mice Open
Selaginella tamariscina extracts (STS), total flavonoids of Selaginella tamariscina (TFST) and the main active component amentoflavone (AMT) have hypoglycaemic-mitigating effects, but their efficacy and mechanism of action in db/db mice ar…
View article: Enhancing Climate-Resilient Aquaculture in Yunlin County, Taiwan: A Comparative Analysis of Aquavoltaic Systems and Conventional Methods
Enhancing Climate-Resilient Aquaculture in Yunlin County, Taiwan: A Comparative Analysis of Aquavoltaic Systems and Conventional Methods Open
The escalating frequency of climate-related disasters underscores the imperative need for robust adaptive strategies to mitigate the impacts of extreme weather events. Crafting effective adaptive solutions, however, presents a formidable c…
View article: AI-Driven Hydro-Insights: Proactive Water Resource Management for Sustainable Agriculture in the Face of Climate Change
AI-Driven Hydro-Insights: Proactive Water Resource Management for Sustainable Agriculture in the Face of Climate Change Open
Climate change profoundly affects natural water resources by increasing extreme rainfall and persistent drought events. This impact has led to a rising likelihood of over-extraction of groundwater by Taiwanese farmers due to insufficient w…
View article: Optimizing impoundment operation of Three Georges Reservoir for enhancing hydropower output and reducing carbon emission
Optimizing impoundment operation of Three Georges Reservoir for enhancing hydropower output and reducing carbon emission Open
Reservoir impoundment operation has far-reaching effects on the synergies between hydropower output, floodwater utilization, and carbon fluxes. However, there's a notable rise in flood risks, especially when advancing impoundment timings a…
View article: Revolutionizing Groundwater Level Prediction in Taiwan: Unleashing the Power of Transformer Neural Networks
Revolutionizing Groundwater Level Prediction in Taiwan: Unleashing the Power of Transformer Neural Networks Open
In the face of evolving global weather patterns attributed to climate change, precise prediction of groundwater levels is increasingly essential for effective water resource management. This significance is particularly prono…
View article: Empowering Greenhouse Cultivation: Dynamic Factors and Machine Learning Unite for Advanced Microclimate Prediction
Empowering Greenhouse Cultivation: Dynamic Factors and Machine Learning Unite for Advanced Microclimate Prediction Open
Climate change has led to more frequent extreme weather events such as heatwaves, droughts, and storms, which significantly impact agriculture, causing crop damage. Greenhouse cultivation not only provides a manageable environment that pro…
View article: Artificial Intelligence Techniques in Hydrology and Water Resources Management
Artificial Intelligence Techniques in Hydrology and Water Resources Management Open
The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles—as well as urban, agricultural, and industrial water cycles—to conserv…
View article: Machine Learning-Enabled Smart Greenhouse Environmental Control Service Model
Machine Learning-Enabled Smart Greenhouse Environmental Control Service Model Open
Extreme weather often causes crop losses with sharp fluctuations in agricultural prices, which imposes negative impacts on sustainable agricultural development. Greenhouse farming is regarded as an effective measure against extreme weather…
View article: Hybrid ANN and physically-based models for regional PM2.5 forecasts
Hybrid ANN and physically-based models for regional PM2.5 forecasts Open
Air pollution has affected people's health and lowered our living quality. Among all pollutants, PM2.5, which is smaller than 2.5 microns, can easily penetrate human lungs and seriously affect human health. Therefore, PM2.5 control is a ve…
View article: Develop a Smart Microclimate Control System for Greenhouses through System Dynamics and Machine Learning Techniques
Develop a Smart Microclimate Control System for Greenhouses through System Dynamics and Machine Learning Techniques Open
Agriculture is extremely vulnerable to climate change. Greenhouse farming is recognized as a promising measure against climate change. Nevertheless, greenhouse farming frequently encounters environmental adversity, especially greenhouses b…
View article: Exploring a multi-objective cluster-decomposition framework for optimizing flood control operation rules of cascade reservoirs in a river basin
Exploring a multi-objective cluster-decomposition framework for optimizing flood control operation rules of cascade reservoirs in a river basin Open
View article: Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation
Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation Open
Water, energy, and food are all essential components of human societies. Collectively, their respective resource systems are interconnected in what is called the “nexus”. There is growing consensus that a holistic understanding of the inte…
View article: Using a Self-Organizing Map to Explore Local Weather Features for Smart Urban Agriculture in Northern Taiwan
Using a Self-Organizing Map to Explore Local Weather Features for Smart Urban Agriculture in Northern Taiwan Open
Weather plays a critical role in outdoor agricultural production; therefore, climate information can help farmers to arrange planting and production schedules, especially for urban agriculture (UA), providing fresh vegetables to partially …
View article: Prospects for Rooftop Farming System Dynamics: An Action to Stimulate Water-Energy-Food Nexus Synergies toward Green Cities of Tomorrow
Prospects for Rooftop Farming System Dynamics: An Action to Stimulate Water-Energy-Food Nexus Synergies toward Green Cities of Tomorrow Open
Rooftop farming is a practical solution of smart urban agriculture to furnish diverse socio-environmental benefits and short food supply chains, especially in densely populated cities. This study aims to raise urban food security with less…
View article: Advances in Hydrologic Forecasts and Water Resources Management
Advances in Hydrologic Forecasts and Water Resources Management Open
The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient wate…
View article: Efficient Urban Inundation Model for Live Flood Forecasting with Cellular Automata and Motion Cost Fields
Efficient Urban Inundation Model for Live Flood Forecasting with Cellular Automata and Motion Cost Fields Open
The mitigation of societal damage from urban floods requires fast hydraulic models for emergency and planning purposes. The simplified mathematical model Cellular Automata is combined with Motion Cost fields, which score the difficulty to …
View article: Advances in Hydrologic Forecasts and Water Resources Management
Advances in Hydrologic Forecasts and Water Resources Management Open
The impacts of climate change on water resources management as well as the increasing severe natural disasters over the last decades have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient wat…
View article: An advanced complementary scheme of floating photovoltaic and hydropower generation flourishing water-food-energy nexus synergies
An advanced complementary scheme of floating photovoltaic and hydropower generation flourishing water-food-energy nexus synergies Open
View article: Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance
Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance Open
Typhoons are among the greatest natural hazards along East Asian coasts. Typhoon-related precipitation can produce flooding that is often only predictable a few hours in advance. Here, we present a machine-learning method comparing project…
View article: Exploring Copula-based Bayesian Model Averaging with multiple ANNs for PM2.5 ensemble forecasts
Exploring Copula-based Bayesian Model Averaging with multiple ANNs for PM2.5 ensemble forecasts Open
View article: Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting
Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting Open
View article: Intelligent management of reservoir and photoelectric ponds under water-food-energy nexus perspective
Intelligent management of reservoir and photoelectric ponds under water-food-energy nexus perspective Open
<p>The world is in a crucial era of energy transition, and green energy will serve as a new engine that drives sustainable development in the future. Renewable energy becomes the core energy to cultivate green energy industries and p…
View article: Regional flood forecasting based on the spatio-temporal variation characteristics using hybrid SOM and dynamic neural networks
Regional flood forecasting based on the spatio-temporal variation characteristics using hybrid SOM and dynamic neural networks Open
<p>The frequency of extreme hydrological events caused by climate change has increased in recent years. Besides, most of the urban areas in various countries are located on low-lying and flood-prone alluvial plains such that the seve…
View article: IoT-based Flood Depth Sensors in Artificial Intelligent Urban Flood Warning Systems
IoT-based Flood Depth Sensors in Artificial Intelligent Urban Flood Warning Systems Open
<p>In the face of increasingly flood disasters, on-line regional flood inundation forecasting in urban areas is vital for city flood management, while it remains a significant challenge because of the complex interactions and disrupt…