Article
Computer Science, Information Systems
A. J. Sanchez-Fernandez, L. F. Romero, G. Bandera, S. Tabik
Summary: Digital Elevation Models (DEMs) are important datasets for modeling line of sight, and the proposed skewed Digital Elevation Model (sDEM) substantially improves memory access locality and parallelism in rotational sweep algorithms. In experiments, sDEM outperformed current GIS software by 8.8x on average and was 827.3x faster than the state-of-the-art algorithm in the best case.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Geography, Physical
Yifan Zhang, Wenhao Yu, Di Zhu
Summary: This paper proposes a terrain feature-aware superresolution model (TfaSR) for terrain data superresolution, aiming to extract and optimize terrain features. Experimental results show that TfaSR achieves state-of-the-art performance in preserving terrain features during DEM SR.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Chemistry, Multidisciplinary
Ivan Vulic, Mirko Borisov, Radomir Prodanovic, Dejan Rancic, Vladimir M. Petrovic, Stevan Stankovski, Gordana Ostojic
Summary: The quality of DEMs is evaluated based on their spatial resolution and the type of terrain. This study analyzed LiDAR-based DEMs and compared them with radar recording method results. A model was developed to ensure the non-repudiation and protection of DEM data in security-sensitive systems, demonstrating the detection of even the smallest changes and proving data authenticity and the sender's non-repudiation.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Studies
Hao Wang, Guanghui Hu, Junfei Ma, Hong Wei, Sijin Li, Guoan Tang, Liyang Xiong
Summary: In recent years, applications and analyses based on slope units have gained popularity due to their ability to better represent terrain features and boundaries compared to grid units. Maps based on slope units also offer significant improvements for disaster prediction and slope land resource analysis. However, existing classification methods have overlooked the importance of geomorphology. Therefore, a novel slope unit classification method that combines terrain feature lines derived from the meaning of geomorphology ontology is proposed, and its effectiveness is demonstrated through testing in two study areas.
Article
Environmental Sciences
Sandra Davila-Hernandez, Julian Gonzalez-Trinidad, Hugo Enrique Junez-Ferreira, Carlos Francisco Bautista-Capetillo, Heriberto Morales de Avila, Juana Cazares Escareno, Jennifer Ortiz-Letechipia, Cruz Octavio Robles Rovelo, Enrique A. Lopez-Baltazar
Summary: This research aims to merge DEMs and evaluate GIS geoprocessing algorithms to determine drainage networks and the geomorphological parametrization of a semiarid watershed, finding that the divergences of drainage networks are mainly attributed to filling algorithms rather than flow routing algorithms.
Article
Environmental Sciences
Milad Hooshyar, Amilcare Porporato
Summary: Landscape evolution models commonly use coupled partial differential equations to model temporal dynamics of the land surface, accounting for sediment and water balance. The average sediment budget equation highlights the influence of curvature and surface divergence/convergence on erosion rate. A Reynolds-type averaging of the equations reveals a decomposition of erosion into unchannelized and channelized components, with the latter resembling Reynolds stress in fluid turbulence and indicating surface channelization statistical features.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Sebastiano Trevisani, T. N. Skrypitsyna, I. V. Florinsky
Summary: This study evaluates the quality of two top 1 arc-second global digital elevation models (DEMs), Copernicus GLO-30 DEM and ALOS AW3D30 DSM, in representing fine-scale morphology in a complex alpine landscape in Trentino Province, Italy. The analysis covers an area of 6210 km² and uses a high-resolution airborne Lidar survey as the reference DEM. The assessment goes beyond conventional approaches by considering surface roughness and the influence of local morphology and land covers. The findings show that both global DEMs have comparable overall quality but their relative performances vary based on local landscape characteristics.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Meteorology & Atmospheric Sciences
W. Scott Lincoln, Rafal Ogorek, Brett Borchardt, Siobhan Heraty
Summary: After extensive research, the staff at the National Weather Service (NWS) Chicago Forecast Office discovered that the tornado on May 22, 1855 actually occurred in Des Plaines, rather than the previously believed location of Jefferson Park. This correction dispels the long-standing misunderstanding and confusion surrounding the tornado's location.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Article
Environmental Sciences
Jiaxin Fan, Wen Dai, Bo Wang, Jingliang Li, Jiahui Yao, Kai Chen
Summary: This study proposes a method for vegetation filtering based on multiscale elevation-variation coefficients, which can accurately remove low coverage vegetation points and retain ground points in UAV photogrammetry.
Article
Remote Sensing
Ahmed M. AL-Areeq, Hatim O. Sharif, S. I. Abba, Shakhawat Chowdhury, Mohammed Al-Suwaiyan, Mohammed Benaafi, Mohamed A. Yassin, Isam H. Aljundi
Summary: This study compares the performance of five distinct Global Digital Elevation Models (GDEMs) in estimating flood inundation extent and depth in the Jeddah watershed. The results show that SRTM performs the best in the mountain area.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Rok Ciglic, Spela Conc, Mateja Breg Valjavec
Summary: This study aims to highlight the applicability of high-resolution relief laser scanning data in geomorphological studies of karst depressions. Through empirical research in three areas of the Slovene Dinaric Karst, it was found that different data preprocessing and detection methods can influence the number and geomorphometric characteristics of depressions, as well as comparisons between study areas.
Article
Geochemistry & Geophysics
Jiayang Zhao, Hui Li
Summary: This paper proposes a new robust approach to integrate optical images and digital elevation models (DEMs) by utilizing terrain features for registration. The multimodal registration is performed on the optical data and simulated image to maximize the accuracy of feature matching. Experimental results demonstrate that this method can achieve robust registration for optical-DEM images with high subpixel-level accuracy.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Yao Li, Huilin Gao, George H. Allen, Zhe Zhang
Summary: The study presented a framework for deriving reservoir AVE curves from TanDEM-X data, using Lake Mead as an example. Results show that this method can accurately reconstruct AVE curves for reservoirs and reliably capture elevation measurements for lake shore areas.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Muhittin Karaman, Emre Ozelkan
Summary: Monitoring and estimating water volume changes in reservoirs is crucial for water planning and management. This study proposes a GIS-based methodology that considers hydrological, meteorological, and anthropogenic factors to evaluate water volume changes. The results demonstrate that the TINS model provides more accurate estimates compared to the ANUDEM model.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Engineering, Civil
Takanori Uchida, Yves Gagnon
Summary: This study investigated the effects of continuously changing wind direction on the wake characteristics of a utility-scale wind turbine using numerical simulations. The results showed that the rapidly changing wind direction significantly impacted the recovery of mean velocity deficits in the wake region.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Water Resources
Fernando Nardi, Christophe Cudennec, Tommaso Abrate, Candice Allouch, Antonio Annis, Thaine Assumpcao, Alice H. Aubert, Dominique Berod, Alessio Maria Braccini, Wouter Buytaert, Antara Dasgupta, David M. Hannah, Maurizio Mazzoleni, Maria J. Polo, Oystein Saebo, Jan Seibert, Flavia Tauro, Florian Teichert, Rita Teutonico, Stefan Uhlenbrook, Cristina Wahrmann Vargas, Salvatore Grimaldi
Summary: This study highlights the importance of citizen science in addressing water issues, advocating for collaboration between hydrological, computer, and social sciences, and identifying shortcomings in policy and decision-making.
HYDROLOGICAL SCIENCES JOURNAL
(2022)
Article
Agronomy
J. M. Costa-Saura, V Mereu, M. Santini, A. Trabucco, D. Spano, V Bacciu
Summary: Climate change affects key meteorological variables, and seasonal forecasts can help anticipate climate risks. This study evaluates the performance of seasonal forecasts for Central Europe and the Mediterranean in predicting indicators for agriculture and forestry. The results highlight the potential usefulness of seasonal forecasts and suggest that different bias correction techniques may affect accuracy.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Water Resources
Matej Vojtek, Jana Vojtekova, Davide Luciano De Luca, Andrea Petroselli
Summary: This study focused on a combined basin-scale and decentralized approach to riverine flood risk mapping and assessment in the Gidra River Basin (Slovakia). The methodology used a spatial and probabilistic relation between the physical processes of riverine flooding and vulnerability. Design peak discharges were calculated using a rainfall generation model and rainfall-runoff model, and flood scenarios were used for hydraulic modeling. The results showed that municipalities in the northern-central part of the area had the highest flood risk index values.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Computer Science, Information Systems
Monia Santini, Sergio Noce, Marco Mancini, Luca Caporaso
Summary: This article provides a new multiscale Standardized Precipitation Evapotranspiration Index (SPEI) dataset for a reference period and two future time horizons. The dataset includes historical forcing based on climate observations and reanalysis, and future projections based on different climate models and development pathways. The SPEI is useful for drought analysis and assessing wetter-than-normal conditions.
Article
Geosciences, Multidisciplinary
R. Padulano, M. Santini, M. Mancini, M. Stojiljkovic, G. Rianna
Summary: This paper investigates the estimation of rainfall erosivity in Italy using empirical models and rainfall observations. It establishes a connection between annual and monthly scales using a 10-year series of monthly rainfall data, and generates maps of monthly and seasonal rainfall erosivity. The study also predicts future anomalies of seasonal rainfall erosivity using bias-corrected rainfall projections. The results show an increasing trend in erosion hazard, especially in autumn and summer, which cannot be captured by annual rainfall-based empirical models.
Article
Forestry
Issam Boukhris, Said Lahssini, Alessio Collalti, Said Moukrim, Monia Santini, Tommaso Chiti, Riccardo Valentini
Summary: To assess Morocco's commitments under the Paris Agreement, carbon assessments and transparent evaluations are needed. This study applied the 3-PG model to Cedrus atlantica, a forest area of Morocco, and calibrated the model using the DE-MC method. The results showed significant carbon sequestration capacity and highlighted important parameters for the model's performance.
Article
Environmental Sciences
Lorraine K. Nkonge, John M. Gathenya, Jeremiah K. Kiptala, Charles K. Cheruiyot, Andrea Petroselli
Summary: The research aimed to predict the susceptibility to gully erosion in the Kakia-Esamburmbur catchment in Narok, Kenya. GIS and ensemble techniques using Weight of Evidence (WoE) and Logistic Regression (LR) models were used to map the susceptibility. The results showed that land use/cover, distance to road, sediment transport index (STI), and topographic wetness index (TWI) were the most influential factors on gully occurrence in the catchment. Additionally, the WoE-LR ensemble model performed better with an AUC value of 0.88 compared to the WoE model (0.62) and the LR model (0.63). Therefore, the WoE-LR model is useful for mapping gully erosion susceptibility and aids decision makers in land-use planning.
Article
Environmental Sciences
Jean Marie Vianney Nsabiyumva, Ciro Apollonio, Giulio Castelli, Andrea Petroselli, Mohamed Sabir, Federico Preti
Summary: In the Rif area of Morocco, intense rainfall has caused frequent soil erosion in recent decades. To address this issue and improve farmers' lives, the MCA Project was implemented to grow fruit trees. This study aimed to evaluate the hydrological response to erosion control techniques combined with olive tree plantations in three provinces of Morocco. Various variables, including infiltration, rainwater imbibition, runoff coefficient, and soil detachment, were investigated.
Article
Multidisciplinary Sciences
Mario Raffa, Marianna Adinolfi, Alfredo Reder, Gian Franco Marras, Marco Mancini, Gabriella Scipione, Monia Santini, Paola Mercogliano
Summary: This paper introduces VHR-PRO_IT, an open access hourly climate projection with a resolution of ?2.2 km, covering the Italian peninsula and some neighbouring areas up to 2050. It is produced by downscaling the Italy8km-CM climate projection with the Regional Climate Model COSMO-CLM under the IPCC RCP4.5 and RCP8.5 scenarios. The VHR-PRO_IT data is intended for research purposes in the field of climate studies, such as investigating the added value of running climate simulation at the convection-permitting scale.
Review
Environmental Studies
Davide Bazzana, Nicola Comincioli, Cristina El Khoury, Fernando Nardi, Sergio Vergalli
Summary: This paper reviews the legislation and WEF policies in four MED countries located on two continents, analyzing the main political and institutional actors involved and the possible policy coherence. By exploring the factors influencing WEF policies on national, regional, and local scales, this study aims to improve understanding of WEF trade-offs and synergies.
Article
Water Resources
Ajla Mulaomerovic-Seta, Borislava Blagojevic, Vladislava Mihailovic, Andrea Petroselli
Summary: In this research, a method of guided clustering using silhouette width for flood studies is proposed to overcome the limitations of hierarchical clustering in regionalization. Experimental results on 53 gauging stations under a continental climate in the West Balkans demonstrate the effectiveness of the guided clustering method in flood hydrological estimation.
Article
Engineering, Multidisciplinary
Ilaria Ceccarelli, Luca Filoni, Massimiliano Poli, Ciro Apollonio, Andrea Petroselli
Summary: Among all the substances that can be found in water for human consumption, arsenic (As) is highly toxic. Various treatment technologies, such as adsorption onto iron media, are used to remove As from water. In this study, a novel and portable plant for regenerating iron media was developed and tested in four real case studies in Central Italy. The results showed that the system was highly efficient, as it successfully regenerated the iron media and restored its ability to adsorb As from water almost completely from 2019 to 2023. The As concentration in the water effluent reached the minimum level in all investigated case studies after the regeneration process, which was performed when the legal threshold value of 10 μg/L was exceeded.
Article
Meteorology & Atmospheric Sciences
Davide Luciano De Luca, Ciro Apollonio, Andrea Petroselli
Summary: Rainfall-runoff modelling in small and ungauged basins is a common practice in hydrology, but it poses challenges in climate change and drought-prone areas. This study applied a continuous modelling approach and a synthetic rainfall generation model to assess drought hazards in a small watershed in southern Italy. Results indicate a potential mild to moderate drought in the future 30 years.
Article
Geosciences, Multidisciplinary
Francisco Pena, Fernando Nardi, Assefa Melesse, Jayantha Obeysekera, Fabio Castelli, Rene M. Price, Todd Crowl, Noemi Gonzalez-Ramirez
Summary: Compound floods involve the complex interaction of various types of flooding, and groundwater flooding is often neglected in flood risk assessments. This paper presents a modeling framework that simulates surface-subsurface water interactions and assesses the relevance of groundwater flooding in a flood-prone area. The results indicate that groundwater-induced flooding is localized and influences pluvial flooding. Understanding groundwater flood risk is crucial for low-elevation coastal karst environments.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Antonio Annis, Fernando Nardi, Fabio Castelli
Summary: This paper presents a near-real-time flood modeling approach that assimilates both water level observations and satellite-derived flood extents to manage uncertainty in flood models. Testing on the Tiber River basin in central Italy shows that simultaneous assimilation of observations from different sources can improve flood simulations and reduce flood extent uncertainty.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
