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Analysis of ILI Value Variance Based on Data from an AMI Water Meter Reading System
Ewelina Kilian-Błażejewska,
Wojciech Koral,
Bożena Gil
Posted: 07 November 2025
Outdoor Characterization and Geometry-Aware Error Modelling of an RGB-D Stereo Camera for Safety-Related Obstacle Detection
Pierluigi Rossi,
Elisa Cioccolo,
Maurizio Cutini,
Danilo Monarca,
Daniele Puri,
Davide Gattamelata,
Leonardo Vita
Posted: 07 November 2025
Sustainable Development Agenda: Historical Evolution, Goal Progression and Future Prospects
Chaofeng Shao,
Sihan Chen,
Xuesong Zhan
Posted: 07 November 2025
Analysis of Trail Networks and Routes Optimization in Mountain Areas: New Tools in GIS Environment
Paolo Zatelli,
Vito Frontuto,
Nicola Gabellieri,
Angelo Besana
This paper presents an automated GIS-based procedure for the analysis and optimization of hiking trails. A preliminary analysis of the topological and environmental features of a trail network is performed by evaluating a set of connection metrics describing both the local and global connectivity of its graph. Subsequently, the evaluation of optimal hiking trails has been implemented in an automatic procedure, which can use walking time, distance or upward slope as costs to be minimized. The evaluation of the hiking times for trail sections has been implemented in a GIS as a function of terrain slope. A Python script has been used to automate this process in GRASS GIS. The process was tested on the network of mountain trails in Trentino, an alpine region of Italy, where a digital map of the routes is accessible online. Empirical times and estimated trip times agree fairly well. The optimal paths vary based on the cost choice, i.e., whether the distance, trip time, or total height difference is minimized. It is therefore possible to integrate the determination of optimal hiking paths in a GIS, allowing the integration of this tool with all the other spatial analysis available in this environment.
This paper presents an automated GIS-based procedure for the analysis and optimization of hiking trails. A preliminary analysis of the topological and environmental features of a trail network is performed by evaluating a set of connection metrics describing both the local and global connectivity of its graph. Subsequently, the evaluation of optimal hiking trails has been implemented in an automatic procedure, which can use walking time, distance or upward slope as costs to be minimized. The evaluation of the hiking times for trail sections has been implemented in a GIS as a function of terrain slope. A Python script has been used to automate this process in GRASS GIS. The process was tested on the network of mountain trails in Trentino, an alpine region of Italy, where a digital map of the routes is accessible online. Empirical times and estimated trip times agree fairly well. The optimal paths vary based on the cost choice, i.e., whether the distance, trip time, or total height difference is minimized. It is therefore possible to integrate the determination of optimal hiking paths in a GIS, allowing the integration of this tool with all the other spatial analysis available in this environment.
Posted: 07 November 2025
Submerged Macrophytes Enhance and Differentially Regulate Greenhouse Gas Emissions in Eriocheir sinensis Aquaculture Systems
Wenwen Zeng,
Wei Wang,
Yong Hong Xie,
Yu Xiong,
Zexuan Wang
Posted: 07 November 2025
Sustainability Policy and Corporate Financial Integrity: Assessing the Impact of China's Energy-Use Rights Trading Scheme on Earnings Management
Jingjing Zhang,
Qingjun Liu,
Senping Yang
Posted: 07 November 2025
The Role of Urban Gardening in the Maintenance of Rural Landscape Heritage in a Large City: Case Study of Brno Metropolitan Area, Czech Republic
Jaromír Kolejka,
Eva Novakova,
Jana Zapletalova
Posted: 07 November 2025
Exploring the Road Towards Agricultural Carbon Neutrality: From Potential to Reality
Dina Popluga,
Kaspars Naglis-Liepa,
Arnis Lēnerts,
Ksenija Furmanova
Posted: 07 November 2025
Revisiting the Role of Floodplains in Flood Management: A Comparative Case Study of Carlisle, UK and New Orleans, USA
Xueqing Deng,
Jan Staes
Posted: 07 November 2025
Hydrothermal Synthesis, Structural, Magnetic, Optical, Photocatalytic Properties of Pharmaceuticals of Fe/CoFe2O4 Composite
Liliya A Frolova,
Vyacheslav S Protsenko,
Tetiana E Butyrina
Posted: 06 November 2025
Pioneering a R-Square AI (Regenerative & Responsible AI) Future from the Global South
Rachel Ooi,
Deny Rahardjo
Posted: 06 November 2025
Integrated Predictive Modelling of Shoreline Dynamics and Sedimentation Mechanisms to Ensure Sustainability in Damietta Port, Egypt
Hesham Mostafa El-Asmar,
May Ramadan Elkotby,
Mahmoud Shaker Felfla,
Mariam Taha Ragab
This research examines the persistent shoreline erosion along the Damietta coast and the problem of sediment buildup within the navigation channel of Damietta Port, both of which provide major obstacles to navigation efficiency and coastal balance. To address these issues, the research uses the LITPACK numerical model to forecast shoreline evolution along the Damietta coast, which is divided into two sections of 3.3 km each, during the next 20 years. Considering both planned and existing coastal constructions, two realistic alternatives were proposed. The Coastal Modeling System (CMS) was then used to perform a two-dimensional simulation in order to examine sediment transport and hydrodynamic behavior in the port region. This phase concentrated on examining the effects of sedimentation rates following the most recent port development plan, which included building a massive 5560-meter-long western jetty and a new navigation channel with a depth of 9 m to service the dirty ballast terminal. In comparison to the benchmark case, the simulation results showed a 93% decrease in sedimentation rates within the navigation channel. The study's final phase evaluated the impact of changing the crest levels of the current detached breakwaters along the Ras El-Bar coastline on reducing coastal erosion. The study's conclusions promote the creation of effective and sustainable coastal protection plans in the Damietta area by providing insightful information for future coastal zone management and planning.
This research examines the persistent shoreline erosion along the Damietta coast and the problem of sediment buildup within the navigation channel of Damietta Port, both of which provide major obstacles to navigation efficiency and coastal balance. To address these issues, the research uses the LITPACK numerical model to forecast shoreline evolution along the Damietta coast, which is divided into two sections of 3.3 km each, during the next 20 years. Considering both planned and existing coastal constructions, two realistic alternatives were proposed. The Coastal Modeling System (CMS) was then used to perform a two-dimensional simulation in order to examine sediment transport and hydrodynamic behavior in the port region. This phase concentrated on examining the effects of sedimentation rates following the most recent port development plan, which included building a massive 5560-meter-long western jetty and a new navigation channel with a depth of 9 m to service the dirty ballast terminal. In comparison to the benchmark case, the simulation results showed a 93% decrease in sedimentation rates within the navigation channel. The study's final phase evaluated the impact of changing the crest levels of the current detached breakwaters along the Ras El-Bar coastline on reducing coastal erosion. The study's conclusions promote the creation of effective and sustainable coastal protection plans in the Damietta area by providing insightful information for future coastal zone management and planning.
Posted: 06 November 2025
Artificial Intelligence Algorithms for Detecting Hazardous Substance Discharges into Water Bodies and Modeling Their Distribution
Tetiana Ivanivna Nosenko,
Iryna Viktorivna Mashkina
Posted: 06 November 2025
Introducing a Managed Aquifer Recharge Feasibility Index (MARFI): A Tool for Discursive Decision Making
Ghulam Zakir-Hassan,
Catherine Allan,
Jehangir F. Punthakey,
Lee Baumgartner
Water is fundamental to the economy of Pakistan, and to many of the county’s 250 million people. Increasing groundwater use in Pakistan is occurring against a backdrop of climate change, dwindling surface water, and human population growth. Historically there has been little groundwater resource management in the country, and that little has mainly related to its use, that is to demand side management. There is some potential for Managed Aquifer Recharge (MAR) to contribute to groundwater supplies, that is, to supply side management. MAR is a complex process which to be effective requires consideration of social, institutional, environmental, technical, financial, and economic parameters. This paper introduces a methodology that has been developed to assess and sum the effect of multiple parameters into single numerical value, to enable the feasibility of proposed MAR projects; the “Managed Aquifer Recharge Feasibility Index (MARFI)”. MARFI was developed using a case study of an MAR project currently being implemented by the Punjab Irrigation Department in the bed of Old Mailsi Canal. MARFI is a suitable tool for examining the pre-project feasibility of any MAR scheme for contributing to wise investment decision making.
Water is fundamental to the economy of Pakistan, and to many of the county’s 250 million people. Increasing groundwater use in Pakistan is occurring against a backdrop of climate change, dwindling surface water, and human population growth. Historically there has been little groundwater resource management in the country, and that little has mainly related to its use, that is to demand side management. There is some potential for Managed Aquifer Recharge (MAR) to contribute to groundwater supplies, that is, to supply side management. MAR is a complex process which to be effective requires consideration of social, institutional, environmental, technical, financial, and economic parameters. This paper introduces a methodology that has been developed to assess and sum the effect of multiple parameters into single numerical value, to enable the feasibility of proposed MAR projects; the “Managed Aquifer Recharge Feasibility Index (MARFI)”. MARFI was developed using a case study of an MAR project currently being implemented by the Punjab Irrigation Department in the bed of Old Mailsi Canal. MARFI is a suitable tool for examining the pre-project feasibility of any MAR scheme for contributing to wise investment decision making.
Posted: 05 November 2025
Hospital Water Footprint and Wastewater Loading under a Daily Discharge Quota: A Case Study of RSJD Dr. Amino Gondohutomo, Semarang
Radite Ranggi Ananta,
Zhang Zhao You
Posted: 05 November 2025
Flood Vulnerability Assessment under Subsidence-Influenced Terrain Using Deformation-Adjusted DEM in an Oil and Gas Field
Mohammed Al Sulaimani,
Rifaat Abdalla,
Mohammed El-Diasty,
Amani Al Abri,
Mohamed A.K EL-Ghali,
Ahmed Tabook
Posted: 05 November 2025
Dialogue Between Palace and Land—Rain Garden and Hydrological Restoration Strategies for Sustainable Landscape Renewal at the Alhambra
Jing Zhang
Posted: 05 November 2025
Production of Dichostereum sordulentum Laccase and Its Entrapment in Lignocellulosic Biopolymers for Estrogen Biodegradation
Valeria Vázquez,
Emiliana Botto,
Alejandra Bertone,
Marta Turull,
Lúcia H.M.L.M. Santos,
Victoria Giorgi,
Fernando Bonfiglio,
Javier García-Alonso,
Pilar Menéndez,
Karen Ovsejevi
+1 authors
Posted: 05 November 2025
A Recurrent Neural Network for Forecasting Fuel Moisture Content with Inputs from Numerical Weather Models
Jonathon Hirschi,
Jan Mandel,
Kyle Hilburn,
Angel Farguell-Caus
Posted: 05 November 2025
Filtration Solutions for Microplastic Mitigation: Cutting-Edge Filtration Technologies and Membrane Innovations for Environmental Protection
Joaquim Silva,
Pedro Sampaio,
Hilda Pablo
Posted: 05 November 2025
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