Knowledge gaps and future research needs for assessing the non-market benefits of Nature-Based Solutions and Nature-Based Solution-like strategies

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 841, P. 156636 - 156636

Published: June 11, 2022

Nature-Based Solutions (NBS) can be defined as solutions based on natural processes that meet societal challenges and simultaneously provide human well-being biodiversity benefits. These are envisioned to contribute operationalizing sustainable development strategies, especially in the context of adaptation climate change (e.g. flood risk reduction). In order quantify NBS performance, ease their uptake advocate for them alternatives "business-as-usual" infrastructures, a comprehensive, holistic valuation multiple benefits (multiple advantages disadvantages) is needed. This entails quantifying non-market people nature addition determining (direct) cost-benefit risk-reduction measure. Despite importance given assessment non-tangible literature, systematic data collection these dimensions seems missing. study reviews publications used stated preference methods assess NBS-like strategies. Its aim highlight any biases or knowledge gaps this kind evaluation. Our results show increased recreation well-being, enhanced biodiversity) still suffers from lack common framing. some steps being taken enabling interconnected benefit assessments, unexploited opportunities concerning integrated predominate. Moreover, research to-date appears case-to-case approach, thus shared method does not emerge present potentially delaying NBS. We argue future could minimize missed by focusing systematically applying assessments. Methods surveys may help ensure approaches taken, well contributing replicability application when upscaling • Review studies using Current literature relates "non-NBS-specific" methods. Replicability up-scaling prioritized. Integration often considered Future should focus replicable quantification.

Language: Английский

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Next generation application of DPSIR for sustainable policy implementation

Current Research in Environmental Sustainability, Journal Year: 2022, Volume and Issue: 5, P. 100201 - 100201

Published: Dec. 14, 2022

As our societies and natural systems are becoming ever more interconnected, it is critical that sustainable management can adapt to new knowledge from both the ecological social domains, act on in a timely effective manner. This need amplifying Anthropocene as we approaching limit for humanity's safe operating space, leading irreversible change ecosystem function. urgently requires increased attention concern regarding information feedbacks between silos of science, policy society. A web policies place protect health people planet, but ensure they frameworks make sense real-world complexities interlinkages multiple factors. The Drivers-Pressures-State-Impacts-Response (DPSIR) framework was created this purpose, however, its' implicit focus 1) analytical 2) procedural aspects must be made explicit, enable coordination across studies. Continued creation DPSIR derivatives may its impact, while explicit these two improve effectiveness retaining flexibility. We thus propose five elements support development implementation using DPSIR: iteration; risk, uncertainty bias; 3) flexible integration; 4) use quantitative methods, and; 5) clear standard definitions DPSIR. illustrate four cases: Three highlight missing when not fourth case – per-and-polyfluorinated alkyl substances (PFAS) showing potential roadmap successful

Language: Английский

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Surface Water Monitoring Systems—The Importance of Integrating Information Sources for Sustainable Watershed Management

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 36421 - 36451

Published: Jan. 1, 2023

The complex interactions from anthropogenic activities, climate change, sedimentation and the input of wastewater has significantly affected aquatic environment entire ecosystem. Over years, researchers have investigated water monitoring approaches in terms traditional or even integrated systems to handle such an environmental assessment predictions based on warning systems. However, research into selection optimisation by combination parallel approach sampling techniques, process analysis results is limited. objectives present study are evaluate existing latest then provide insights factors affecting sensor implementation at locations. Here we summarize advancement trends various as well suitability placement area reviewing more than 300 papers published between 2011 2022. highlights urgency integrative with regard including quality model quantity model. A framework proposed incorporate all approaches, predictive models comprehensive information about assessment. It was observed that model-based verification fusion data assemble ability improve performances Furthermore, inclusion a separate modeling through - semi-mechanistic models, science artificial intelligence recommended future. Overall, this provides guidelines for achieving standardized management implementing

Language: Английский

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DynSus: Dynamic sustainability assessment in groundwater remediation practice

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 832, P. 154992 - 154992

Published: April 2, 2022

Decision-making processes for clean-up of contaminated sites are often highly complex and inherently uncertain. It depends not only on hydrological biogeochemical site variability, but also the associated health, environmental, economic, social impacts taking, or action. These variabilities suggest that a dynamic framework is required promoting sustainable remediation. For this, decision support system DynSus presented here integrating predeveloped contaminant fate transport model with sustainability assessment tool. Implemented within dynamics framework, new tool uses simulations to provide remediation scenario analysis handling uncertainty in various data. was applied south Sweden, pentachlorophenol (PCP). Simulation scenarios were developed enable comparison between alternative strategies combinations these. Such comparisons provided selected indicators performance (in terms concentration at recipient). This leads identifying most critical variables ensure solutions chosen. results indicated although passive practices, e.g., monitored natural attenuation, more first (5-7 years after beginning measures), they failed compete active bioremediation, over entire life cycle project (from remedial action achieving target In addition, statistical tools (clustering genetic algorithms) used further assess available hydrogeochemical Taken together, reaffirmed suitability simple analytical implemented model. outcomes could therefore managers evaluate different quickly effectively such multidimensional problem.

Language: Английский

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Network science and explainable AI-based life cycle management of sustainability models

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(6), P. e0300531 - e0300531

Published: June 13, 2024

Model-based assessment of the potential impacts variables on Sustainable Development Goals (SDGs) can bring great additional information about possible policy intervention points. In context sustainability planning, machine learning techniques provide data-driven solutions throughout modeling life cycle. a changing environment, existing models must be continuously reviewed and developed for effective decision support. Thus, we propose to use Machine Learning Operations (MLOps) cycle framework. A novel approach model identification development is introduced, which involves utilizing Shapley value determine individual direct indirect contributions each variable towards output, as well network analysis identify key drivers support validation The applicability methods demonstrated through case study Hungarian water by Global Green Growth Institute. Based exploration efficiency stress (in examined period SDG 6.4.1 & 6.4.2) indicators, reuse circularity offer more option than pricing internal or external renewable resources.

Language: Английский

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Integrated modeling of quality and quantity for water resources management: case study in the Upper Paranapanema Basin

RBRH, Journal Year: 2024, Volume and Issue: 29

Published: Jan. 1, 2024

ABSTRACT This study introduces an integrated model for water resources planning and management that accounts both the quantity quality of in watersheds reservoirs. Therefore, it provides a comprehensive approach better understanding assessing systems. The facilitates analyses spatial temporal dynamics hydrological processes, pollutant transport, behavior rivers evaluated load transport Upper Paranapanema Basin by applying Soil Moisture Accounting Procedure (SMAP) model, Muskingum method, Streeter-Phelps buildup/washoff zero-dimensional (0D) models to estimate inflows Jurumirim reservoir. A Python-based public library was developed all processes. calibration yielded NSE, KGE, PBIAS RMSE result 0.746, 0.778, 6.5% 73.3 m 3 s − 1, respectively. Indicating robust simulation attests versatility reliability proposed approach. methodology outlined this research enables at basin scale, thereby serving as tool support decision-making regarding resource management.

Language: Английский

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Modeling Nitrogen behavior in Tigris River Using System Dynamics Approach

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102880 - 102880

Published: Sept. 1, 2024

Language: Английский

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"Digitalization of Msmes: Encouraging Entrepreneurial Excellence and Competence in the Modern Era"

Published: Jan. 1, 2024

Language: Английский

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Investigation of Organic Carbon Contamination in Himalayan Rivers of Uttarakhand

Lecture notes in civil engineering, Journal Year: 2023, Volume and Issue: unknown, P. 105 - 116

Published: Jan. 1, 2023

Language: Английский

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Water Quality Modeling and Monitoring

Water, Journal Year: 2023, Volume and Issue: 15(18), P. 3216 - 3216

Published: Sept. 9, 2023

This Special Issue, “Water Quality Modeling and Monitoring”, comprises 19 papers [...]

Language: Английский

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