The Science of The Total Environment, Год журнала: 2024, Номер 959, С. 178245 - 178245
Опубликована: Дек. 24, 2024
Язык: Английский
Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 106816 - 106816
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2
Information, Год журнала: 2024, Номер 15(5), С. 280 - 280
Опубликована: Май 14, 2024
This research paper presents a comprehensive study on optimizing the critical artificial intelligence (AI) factors influencing cost management in civil engineering projects using multi-criteria decision-making (MCDM) approach. The problem addressed revolves around need to effectively manage costs endeavors amidst growing complexity of and increasing integration AI technologies. methodology employed involves utilization three MCDM tools, specifically Delphi, interpretive structural modeling (ISM), Cross-Impact Matrix Multiplication Applied Classification (MICMAC). A total 17 factors, categorized into eight broad groups, were identified analyzed. Through application different techniques, relative importance interrelationships among these determined. key findings reveal role certain such as risk mitigation components, processes. Moreover, hierarchical structure generated through ISM influential via MICMAC provide insights for prioritizing strategic interventions. implications this extend informing decision-makers domain about effective strategies leveraging their practices. By adopting systematic approach, stakeholders can enhance project outcomes while resource allocation mitigating financial risks.
Язык: Английский
Процитировано
12
Waste Management Bulletin, Год журнала: 2025, Номер 3(1), С. 332 - 348
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1
Civil Engineering Journal, Год журнала: 2024, Номер 10(6), С. 1698 - 1719
Опубликована: Июнь 1, 2024
Careful landfill selection with minimal environmental impact is vital for urban planners. This study aims to identify suitable sites controlled landfills using Fuzzy-AHP integrated Remote Sensing and GIS, considering a 20-year projection of population solid waste generation. Initially, twelve sub-criteria were identified, grouped into environmental, socio-economic, physical categories, then weighted paired comparison matrices involving nine experts. The rasterized classified four suitability levels. overlay maps generated territorial model. Within the Alto Utcubamba Commonwealth (Amazonas, Peru), 0.069%, 41.70%, 66.934%, 0.20%, 12.4% territory are suitable, moderately less unsuitable, restricted, respectively, establishment. Subsequently, 16 highly selected based on required area (S4 polygons ≥ 0.505 ha) in line projected generation over 20 years. Of areas, only 15 met shape index. model showed high accuracy (AUC = 0.784) during validation. Furthermore, this provides comprehensive framework making decisions about management developing countries, enhancing understanding key factors selecting sites. It also offers deeper insight global local that determine Doi: 10.28991/CEJ-2024-010-06-01 Full Text: PDF
Язык: Английский
Процитировано
7
Ecological Informatics, Год журнала: 2024, Номер 81, С. 102625 - 102625
Опубликована: Май 1, 2024
Incorporating ecosystem services (ESs) into spatial planning is crucial for effective environmental management and achieving sustainable development goals. While the Analytic Hierarchy Process (AHP) a commonly employed method multicriteria analysis of ESs, it has faced criticism its limited ability to handle inherent imprecision uncertainties. Consequently, we proposed an assessment framework ESs using Fuzzy (FAHP) implemented in Shenyang Metropolitan Area (SMA), key political economic center Northeast China. We quantified eight types (water yield, food supply, water regulation, carbon storage, waste soil retention, habitat quality, outdoor recreation) within SMA. The FAHP was utilized determine weights these ESs. Subsequently, presented normalized index identify priority conservation areas. Our results indicated that primary areas were mainly located southwest east Benxi City, southeast Fushun Anshan whereas primarily northwest City. Through comparing various ES integration methods, our study underscores effectiveness evaluation. research also highlights challenge managing uncertainties ES-based policy-making emphasizes necessity resilient comprehensive approaches.
Язык: Английский
Процитировано
6
Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(6)
Опубликована: Май 10, 2024
Язык: Английский
Процитировано
6
Machine Learning and Knowledge Extraction, Год журнала: 2024, Номер 6(2), С. 1263 - 1280
Опубликована: Июнь 5, 2024
This is a systematic literature review of the application machine learning (ML) algorithms in geosciences, with focus on environmental monitoring applications. ML algorithms, their ability to analyze vast quantities data, decipher complex relationships, and predict future events, they offer promising capabilities implement technologies based more precise reliable data processing. considers several vulnerable particularly at-risk themes as landfills, mining activities, protection coastal dunes, illegal discharges into water bodies, pollution degradation soil matrices large industrial complexes. These case studies about provide an opportunity better examine impact human activities environment, specific matrices. The recent underscores increasing importance these contexts, highlighting preference for adapted classic models: random forest (RF) (the most widely used), decision trees (DTs), support vector machines (SVMs), artificial neural networks (ANNs), convolutional (CNNs), principal component analysis (PCA), much more. In field management, following methodologies invaluable insights that can steer strategic planning decision-making accurate image classification, prediction models, object detection recognition, map variable predictions.
Язык: Английский
Процитировано
5
Sustainability, Год журнала: 2024, Номер 16(10), С. 4235 - 4235
Опубликована: Май 17, 2024
The rapid urbanization of Abha and its surrounding cities in Saudi Arabia’s mountainous regions poses challenges for sustainable secure development. This study aimed to identify suitable sites eco-friendly safe building complexes amidst complex geophysical, geoecological, socio-economic factors, integrating natural hazards assessment risk management. Employing the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP), constructed a suitability model incorporating sixteen parameters. Additionally, Deep Neural Network (DNN) based on eXplainable Artificial Intelligence (XAI) conducted sensitivity analyses assess parameters’ influence optimal location decision making. results reveal slope as most crucial parameter (22.90%), followed by altitude land use/land cover (13.24%), emphasizing topography environmental considerations. Drainage density (11.36%) rainfall patterns (9.15%) are also significant flood defense water Only 12.21% area is deemed “highly suitable”, with “no-build zones” designated safety protection. DNN-based XAI demonstrates positive impact variables like NDVI municipal solid waste generation site selection, informing management ecological preservation strategies. integrated methodology provides actionable insights residential development Abha, aiding informed making balancing urban expansion conservation hazard reduction.
Язык: Английский
Процитировано
4
Local Environment, Год журнала: 2025, Номер unknown, С. 1 - 17
Опубликована: Март 5, 2025
The power imbalance between local governments, who act in the interest of a wider territory, and communities, want to protect amenities, can lead environmental conflicts. In 2020, small coastal community Aotearoa–New Zealand gained national media attention when opposing municipal landfill siting its environment. application triggered stakeholder engagement process, leading extensive documentation before it eventually proceeded. A growing number resistance case studies use descriptive methods highlight socio-economic issues landfills rural areas. However, measures efforts, costs are missing. By applying analysis, we map out evolvement over time, provide estimates volunteer hours financial costs, devise an index visualise imbalance. We identify government agencies, semi-private sector, NGOs, regional Indigenous tribe Local as groups. invested 2,871 raised NZD48,000 cover expert legal representation, while agencies spent NZD5.7 m. calculate numerical by "paid" pages law firms consultancies percentage total submitted during statutory processes. Based on value, sketch stakeholders interest-power matrix, showing that governmental rank highest at 89-90% pages, emerges lowest-power with 38%, other falling in-between. Our study provides first step measure conflict imbalances.
Язык: Английский
Процитировано
0
Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 59, С. 102366 - 102366
Опубликована: Апрель 9, 2025
Язык: Английский
Процитировано
0