Article
Forestry
Thorsten Zeppenfeld, Christopher Jung, Dirk Schindler, Holger Sennhenn-Reulen, Marie Josefin Ipsen, Matthias Schmidt
Summary: Winter storms in Central Europe pose a major threat to forest management, causing significant losses in timber. Statistical modelling is a valuable tool in assessing the vulnerability of forests to winter storms. This study used forest inventory data before and after a severe storm in Germany to develop models that relate storm damage probability to various tree and environmental factors. The models incorporating gust speed information led to a higher degree of transparency and usability.
EUROPEAN JOURNAL OF FOREST RESEARCH
(2023)
Article
Environmental Sciences
Koffi Dodji Noumonvi, Gal Oblisar, Ana Zust, Ursa Vilhar
Summary: Phenological events are sensitive indicators of climate change, and remote sensing has been used to model phenology in pure forests, but faces challenges in mixed forests. This study shows that using the seasonal midpoint method with MODIS GPP can estimate the start and end of the season in mixed forests with moderate errors.
Article
Construction & Building Technology
Sang-Guk Yum, Ji-Myong Kim, Hsi-Hsien Wei
Summary: This study utilizes insurance company's loss data and storm-wind speeds to construct vulnerability curves for predicting levels of damage, resulting in four distinct wind-damage levels.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Public, Environmental & Occupational Health
Yasir Ali, Mark P. H. Raadsen, Michiel C. J. Bliemer
Summary: Variable speed limits are used to improve traffic safety and flow, and this study investigates how drivers reduce their speed when passing such limits. The study focuses on the impact of social pressure from surrounding traffic on braking behavior. Using a driving simulator, individual driver data is collected while changing the social pressure applied. The results show that social pressure affects braking behavior and safety measures, with lower passing rates leading to larger speed differences between drivers.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2023)
Article
Forestry
Gongqiao Zhang, Gangying Hui
Summary: This study explores the importance of random trees in natural forests and suggests that they are the cornerstones of natural forests. The research shows that the features of random trees are highly consistent with those of the communities, indicating the key role they play in natural forests.
Article
Ecology
Tommaso Baggio, Natallie Brozova, Alexander Bast, Peter Bebi, Vincenzo D'Agostino
Summary: This study proposes a new methodology to assess and monitor the evolution of windthrow forests affected by large-scale windstorms and snow avalanches. The stored volume height and adapted tree parameters were found to be the best indices to evaluate forest conditions and standing trees. The study also highlights that the minimum level of protective capacity occurs ten years after a storm event.
ECOLOGICAL ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Md Abdullah Salman
Summary: This study aims to evaluate the vulnerability and capacity of Shyamnagar Upazila, the most storm-influenced region in Bangladesh, to the cyclonic storm Amphan. The results show that the region is more vulnerable in terms of physical factors, but has stronger capacity in terms of social and human factors.
Article
Engineering, Civil
Pierfranco Costabile, Carmelina Costanzo, Domenico Ferraro, Pierfrancesco Barca
Summary: Rain-on-Grid (RoG) modelling is a popular approach in storm risk management, but systematic benchmarking studies of software packages like HEC-RAS 2D (HR2D) are lacking. This paper introduces the novelty of benchmarking HR2D for RoG simulations and provides evidence of its potential and limitations to increase model accuracy.
JOURNAL OF HYDROLOGY
(2021)
Article
Biodiversity Conservation
Yuanfa Li, Liting Wei, Shaoming Ye
Summary: The study found that natural forests have clumped distributions, with regular frameworks being uncommon and random frameworks being dominant. Different frameworks play different roles in different ecosystems and tree groups.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Article
Environmental Sciences
Vai-Kei Ian, Rita Tse, Su-Kit Tang, Giovanni Pau
Summary: Accurate storm surge forecasting is crucial for saving lives and minimizing damage. This study proposes a bidirectional attention-based LSTM storm surge architecture (BALSSA) that leverages machine learning and historical data to improve prediction accuracy. Experiments using meteorological and tide level data from typhoon incidents in Hong Kong and Macao show that BALSSA effectively captures temporal dynamics and provides highly accurate storm surge forecasts.
Article
Acoustics
Tamas Benedek, Janos Vad
Summary: This study presents the application of the TBL-TE noise component of the BPM model in investigating the noise characteristics of an axial flow fan. The results confirm the applicability of the BPM model to circular-arc cambered plate blades, covering a wide range of geometrical and aerodynamic parameters.
Article
Forestry
Saeideh Karimi, Mehdi Heydari, Javad Mirzaei, Omid Karami, Brandon Heung, Amir Mosavi
Summary: Wildfire has a significant impact on plant phenology and can be monitored using time series satellite data to identify the growing season. This study investigated the use of remote sensing data and land surface phenology parameters to evaluate the impacts of fire in semi-arid oak forests of Iran. The results showed that the fire had a negative effect on land surface phenology, but there were signs of forest restoration after two years.
Article
Environmental Sciences
Pia Labenski, Michael Ewald, Sebastian Schmidtlein, Faith Ann Heinsch, Fabian Ewald Fassnacht
Summary: Surface fuel information is crucial for fire behavior and effects models, but it is difficult to obtain accurate and continuous data through field data collection and remote sensing methods are still under development. This study used airborne lidar and multispectral satellite data to predict surface fuel components in Central European forest types. The results showed that remote sensing data can provide fairly accurate predictions of fuel loads and fuelbed depth, with lower accuracy for coarse dead woody fuels.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geography
Yi (Victor) Wang, Paolo Gardoni, Colleen Murphy, Stephane Guerrier
Summary: Traditional approaches to quantifying social vulnerability have limitations, while a new predictive modeling method can better quantify social vulnerability and predict impacts of future natural hazard events. By establishing the relationship between social indicators and vulnerability, and combining historical data and hazard maps, specific risk analysis can be conducted under certain hazard impacts.
ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
(2021)
Article
Transportation
Sheikh Shahriar Ahmed, Grigorios Fountas, Panagiotis Ch. Anastasopoulos, Srinivas Peeta
Summary: This paper integrates hazard-based duration modeling method into a novel bivariate framework, accounting for cross-equation error correlation, endogeneity, unobserved heterogeneity, and unbalanced panel effects. The developed framework allows for flexibility in using appropriate distribution of hazard function for each duration. The estimation of panel specific correlated random parameters improves explanatory power by capturing the interaction between unobserved effects and durations.
TRAVEL BEHAVIOUR AND SOCIETY
(2023)
Article
Geochemistry & Geophysics
Christopher Jung, Laura Demant, Peter Meyer, Dirk Schindler
Summary: High wind speed is one of the most dangerous natural hazards in North America and Europe, and spatially explicit, statistical estimation of extreme wind speed is important for many sectors. This study developed a high spatial resolution model for monthly mapping of maximum hourly wind speed in North America and Europe. The study found that Europe exhibits a more pronounced annual cycle of wind speed compared to North America, and identified certain regions in the USA and Western Europe with the highest wind speed.
ATMOSPHERIC SCIENCE LETTERS
(2022)
Article
Green & Sustainable Science & Technology
Christopher Jung, Dirk Schindler
Summary: Previous estimations of global onshore wind energy potential have shown a wide range of values. This study compares estimates from different wind speed data resolutions and hub heights, and highlights the importance of spatial resolution for wind resource assessment at local and global scales.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Christopher Jung, Dirk Schindler
Summary: There are concerns that climate change and rapid wind development could decrease wind power efficiency. However, with appropriate technological advancements and climate adaptation measures, the future wind power capacity factor may increase.
Review
Green & Sustainable Science & Technology
Christopher Jung, Dirk Schindler
Summary: This review analyzed 75 studies published between 2017 and 2021, investigating the future evolution of wind resources. The studies showed that the availability and distribution of wind resources are likely to change in the future, with the greatest changes observed under the most pessimistic climate change scenarios. It is recommended for future studies to use more realistic climate change scenarios, multi-model ensembles, and longer investigation periods.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Christopher Jung, Dirk Schindler
Summary: Minimizing residual load is crucial in countries with high shares of variable renewable energies (VRE). A new high-spatiotemporal resolution wind speed model (WiCoMo) is developed to adjust wind turbine site selection to residual load, considering the national residual load in Germany. The model maps the suitability of wind turbine sites, showing higher suitability in southern Germany compared to other regions.
Article
Environmental Sciences
Tobias Walter Miller, Dominik Florian Stangler, Elena Larysch, Harald Honer, Heike Puhlmann, Dirk Schindler, Christopher Jung, Thomas Seifert, Andreas Rigling, Hans -Peter Kahle
Summary: This study investigates the impact of drought events on tree growth, specifically addressing the delayed growth onset and reduced growth rate in the post-drought year. The findings reveal that tree rings become smaller as a legacy effect of drought, and Douglas fir exhibits a superior recovery potential compared to other species.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Forestry
Balazs Garamszegi, Christopher Jung, Dirk Schindler
Summary: Windstorms have a significant impact on managed forests, and modeling approaches using spaceborne remote sensing can be used to assess disturbance risk. This study explores the use of spaceborne imagery and recorded damage polygons to develop proxy predictors for wind disturbance modeling. The results show the potential of derived spaceborne variables as proxy variables for critical forest attributes, and these variables outperformed other spatial data products in modeling disturbance occurrence and severity. While the model accuracies were moderate, the study highlights the further potential of spaceborne imagery applications in disturbance modeling and assessment.
Article
Thermodynamics
Christopher Jung, Dirk Schindler
Summary: Assessing the wind climate involves various wind speed models, including wind atlases, reanalysis products, regional climate, and global climate models. This study evaluated 68 wind speed models of different types for their predictive power on mean wind speed, wind speed distribution, and temporal variability. Ensembles of models were found to improve model accuracy compared to individual models, with wind atlases showing the best performance at mountainous locations. It is concluded that individual models should be validated before use, and ensembles are recommended for better predictive power.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Forestry
Thorsten Zeppenfeld, Christopher Jung, Dirk Schindler, Holger Sennhenn-Reulen, Marie Josefin Ipsen, Matthias Schmidt
Summary: Winter storms in Central Europe pose a major threat to forest management, causing significant losses in timber. Statistical modelling is a valuable tool in assessing the vulnerability of forests to winter storms. This study used forest inventory data before and after a severe storm in Germany to develop models that relate storm damage probability to various tree and environmental factors. The models incorporating gust speed information led to a higher degree of transparency and usability.
EUROPEAN JOURNAL OF FOREST RESEARCH
(2023)
Article
Multidisciplinary Sciences
Konstantin Ilgen, Dirk Schindler, Stefan Wieland, Jens Lange
Summary: This study investigates the effects of floating photovoltaic systems on the thermal characteristics of a lake in Germany. The research suggests that the presence of these systems can lead to a reduction in water temperature and changes in thermal stratification during the summer months. The study also finds that the extent of these effects is non-linear and depends on the coverage of the photovoltaic systems.
SCIENTIFIC REPORTS
(2023)
Article
Energy & Fuels
Christopher Jung, Dirk Schindler
Summary: Based on the study of Germany as a case, turbine site selection, turbine technology, hub height, and curtailed wind energy are the main drivers for wind capacity and capacity factor development. Specifically, increasing hub heights and improved turbine technology resulted in 10.4% and 7.3% higher capacity factors, respectively.