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Topic Review
Data Quality Supporting Marine Mineral Oil Spill Assessments
Spilled mineral oils in the marine environment pose a number of challenges to sampling and analysis. Mineral oils are complex assemblages of hydrocarbons and additives, the composition of which can vary considerably depending on the source oil and product specifications. Further, the marine microbial and chemical environment can be harsh and variable over short times and distances, producing a rigorous source of hydrocarbon degradation of a mineral oil assemblage. Researchers must ensure that any measurements used to determine the nature and extent of the oil release, the fate and transport of the mineral oil constituents, and any resultant toxicological effects are derived using representative data that adhere to the study’s data quality objectives (DQOs).
  • 712
  • 11 Mar 2022
Topic Review
Data Used in Urban Flooding Management
Data-driven approaches to urban flooding management require a comprehensive understanding of how heterogenous data are leveraged in tackling this problem.
  • 959
  • 27 Jul 2022
Topic Review
DCNN in Remote Sensing Domain
The use of deep learning methods to extract buildings from remote sensing images is a key contemporary research focus, and traditional deep convolutional networks continue to exhibit limitations in this regard. 
  • 200
  • 14 Dec 2023
Topic Review
De-Carbonization of Zhejiang Province by Nature
The increasing emission of CO2 causes global warming and ocean acidification, imposing damages on the global ecosystem. With the continuous development of industry, fossil CO2 emissions have increased rapidly, and global fossil CO2 emissions have reached 36.4 Gt yr−1 in 2021. In response to the increasing global warming, climate goals, i.e., “zero carbon” and “carbon neutral”, have been proposed by more than 130 countries in the world while 66 of them have reached a consensus on the net-zero target. 
  • 458
  • 14 Oct 2022
Topic Review
Debris Flow Hazard
Global climate change has increased severe torrential hazards, particularly debris flows in mountainous regions. After floods and earthquakes, debris flows are the most devastating natural hazard in the world. The effects of debris flow on human life and built environments necessitate reconsidering current infrastructure planning, engineering, and risk management practices. Hence, the vulnerability of elements at risk is critical for effective risk reduction systems.
  • 951
  • 27 Dec 2022
Topic Review
Decarbonisation Policies in Residential Sector and Energy Poverty
 The current study investigates the impact of decarbonisation policies on the EU’s building stock, with a specific focus on Minimum Energy Performance Standards (MEPS), the new Emissions Trading System (ETS2) for buildings, and the phase-out of fossil heating systems.
  • 195
  • 27 Jul 2023
Topic Review
Decarbonization Strategies in the UAE Built Environment
The urgency of addressing climate change is increasingly evident through the rise in devastating natural disasters and significant shifts in global temperatures. With the urbanization of rural landscapes to accommodate population growth, the built environment has emerged as a major contributor to climate change, accounting for approximately 40% of natural resource consumption and carbon emissions. In pursuit of tackling climate challenges, countries have united under the United Nations Framework Convention on Climate Change (UNFCCC) to develop strategies for climate action and adaptation, through the Conference of the Parties (COP). The UAE has been an active member of the COP and has been at the forefront of implementing decarbonization strategies.
  • 274
  • 21 Aug 2023
Topic Review
Decentralized Community Composting
In recent years, there has been a huge interest from local communities in decentralized composting. Decentralized community composting refers to a community-scale network in a specific neighborhood that diverts and composts biowaste in a controlled operative environment. In fact, the lack of centralized composting facilities in small towns or rural areas can be supported by decentralized solutions. Decentralizing waste treatment facilities and thus creating local solutions to urban waste management strategies will help to achieve the resource recovery and valorization targets in line with the circular economy.
  • 2.1K
  • 29 Oct 2020
Topic Review
Decision Support Systems Based on Gaseous Emissions
To achieve national and global air quality and climate change objectives, the agricultural sector increasingly requires dependable decision support tools for gaseous emissions at the farm level. While most decision support systems (DSSs) provide information for facilitating their use, only four are suitable for inexperienced users, and stakeholder participation in DSS development is infrequent. The dominant methodology for farm-level greenhouse gas (GHG) estimation is IPCC 2006, with quantitative models primarily used for indicators’ assessment. Scenario and contribution analyses are the prevailing decision-support approaches. Soil, crop, and fertilizer types are the most implemented non-livestock-related inputs, while climate- and feed-related costs are the least required. All DSSs assess farm-level mitigation measures, but less than half offer sustainability consultation. These tools promote environmental sustainability by evaluating mitigation strategies, disseminating farm sustainability information, and guiding sustainable farm management. Yet, challenges such as disparate estimation methods, result variations, comparison difficulties, usability concerns, steep learning curves, the lack of automation, the necessity for multiple tools, the limited integration of the results, and changing regulations hinder their wider adoption.
  • 146
  • 13 Sep 2023
Topic Review
Decision Support Systems in Forestry and Tree-Planting Practices
Using deep neural networks (DNNs), a decision support system (DSS) can be trained to learn from a large dataset of tree data, including information about tree species, climate, soil conditions, and other factors that influence tree growth and survival. This is because the use of neural networks was proposed three decades ago to solve forest management problems by integrating forest knowledge with artificial intelligence (AI). AI greatly benefits sustainability and the preservation of ecosystem values, as increasing disruptions in a changing world can only be managed beyond human intelligence. Furthermore, despite the various DSSs and AI systems used, the appointment of appropriate project managers is crucial to the execution and subsequent success of a project.
  • 330
  • 04 Mar 2024
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