Keyword search (4,163 papers available)

"Sensitivity" Keyword-tagged Publications:

Title Authors PubMed ID
1 A longitudinal person-centered analysis of anxiety sensitivity risk for young adult alcohol misuse: Examining the role of injunctive norms Corran C; Morin AJS; Hendershot CS; O' Connor RM; 40667852
PSYCHOLOGY
2 Large scale laboratory evolution uncovers clinically relevant collateral antibiotic sensitivity Chowdhury FR; Banari V; Lesnic V; Zhanel GG; Findlay BL; 40615056
BIOLOGY
3 Toward cognitive models of misophonia Savard MA; Coffey EBJ; 39874936
PSYCHOLOGY
4 Young adult drinking during the COVID-19 pandemic: Examining the role of anxiety sensitivity, perceived stress, and drinking motives Corran C; Norman P; O' Connor RM; 39761074
PSYCHOLOGY
5 Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada Shadnoush Pashaei 38638449
ENCS
6 A DiffeRential Evolution Adaptive Metropolis (DREAM)-based inverse model for continuous release source identification in river pollution incidents: Quantitative evaluation and sensitivity analysis Zhu Y; Cao H; Gao Z; Chen Z; 38309421
ENCS
7 Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose-Physical Properties Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38258201
ENCS
8 Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration Hou D; Zhan D; Wang L; Hassan IG; Sezer N; 37936825
ENCS
9 Numerical-Experimental Analysis toward the Strain Rate Sensitivity of 3D-Printed Nylon Reinforced by Short Carbon Fiber Vanaei HR; Magri AE; Rastak MA; Vanaei S; Vaudreuil S; Tcharkhtchi A; 36556527
ENCS
10 We're building it up to burn it down: fire occurrence and fire-related climatic patterns in Brazilian biomes Diele Viegas LM; Sales L; Hipólito J; Amorim C; Johnson de Pereira E; Ferreira P; Folta C; Ferrante L; Fearnside P; Mendes Malhado AC; Frederico Duarte Rocha C; M Vale M; 36312759
BIOLOGY
11 Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis Zhu Y; Chen Z; 36191500
ENCS
12 Specificity of Affective Responses in Misophonia Depends on Trigger Identification Savard MA; Sares AG; Coffey EBJ; Deroche MLD; 35692416
PSYCHOLOGY
13 Natural history and determinants of dysglycemia in Canadian children with parental obesity from ages 8-10 to 15-17 years: The QUALITY cohort Soren Harnois-Leblanc 35023257
PERFORM
14 External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4 Harel D; Levis B; Sun Y; Fischer F; Ioannidis JPA; Cuijpers P; Patten SB; Ziegelstein RC; Markham S; Benedetti A; Thombs BD; 34780986
CONCORDIA
15 Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis Zhu Y; Chen Z; Asif Z; 34380214
ENCS
16 Body Mass Index Z Score vs Weight-for-Length Z Score in Infancy and Cardiometabolic Outcomes at Age 8-10 Years Roberge JB; Harnois-Leblanc S; McNealis V; van Hulst A; Barnett TA; Kakinami L; Paradis G; Henderson M; 34302856
PERFORM
17 Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast Feng Q; An C; Chen Z; Owens E; Niu H; Wang Z; 34271360
ENCS
18 Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study Cai M; An C; Guy C; Lu C; Mafakheri F; 34182392
ENCS
19 Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada. Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S 32217321
ENCS
20 Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction. Vorwerk J, Aydin Ü, Wolters CH, Butson CR 31231178
PERFORM
21 Neurotensin in the nucleus accumbens reverses dopamine supersensitivity evoked by antipsychotic treatment. Servonnet A, Minogianis EA, Bouchard C, Bédard AM, Lévesque D, Rompré PP, Samaha AN 28522313
CSBN

 

Title:Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast
Authors:Feng QAn CChen ZOwens ENiu HWang Z
Link:https://pubmed.ncbi.nlm.nih.gov/34271360/
DOI:10.1016/j.jenvman.2021.113240
Publication:Journal of environmental management
Keywords:Coastal sensitivityEcosystem servicesGISMultidimensional planningOil spill
PMID:34271360 Category: Date Added:2021-07-17
Dept Affiliation: ENCS
1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada.
2 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada. Electronic address: chunjiang.an@concordia.ca.
3 Owens Coastal Consultants, Bainbridge Island, WA, 98110, United States.
4 Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro, NS, B2N 5E3, Canada.

Description:

Coastal environment is one of the most important ecological and socioeconomic areas. However, increasing energy demand and economic development lead to a continuous gas and oil exploration, production, and traffics, which notably raise the risk of oil spill accidents in coastal areas. Sensitivity assessment aiming to determine the coastal features that would be severely impaired by spill incidents is a crucial part of the response planning. In this study, an innovative framework for coastal sensitivity mapping that incorporated ecosystem service (ES) valuation and multidimensional assessment was proposed. Sensitivity was computed by valuing physical, biological, and social-economical indicators from ES perspective and separating each indicator into specific coastal domains. For different ES typologies, provisioning services contributed most to the overall ES value followed by culture services, supporting services, and regulating services. For ES value in different coastal domains, the highest value was recorded in the water column followed by water surface, shoreline, and seabed. However, the shoreline ranked highest regarding the ES value per ha. Sensitivity assessment revealed that sensitive areas differed in different domains, both in distribution and extent. Compared with the scoring method, the ES valuation method showed more coincidence with Ecologically and Biologically Significant Areas (EBSA), representing a more precise and practical approach for sensitivity assessment. A three-dimensional (3D) oil spill model was also applied to generate maps of oil contamination probability in shoreline, water surface, and water column. The obtained results highlighted the significance of incorporating different coastal domains into oil spill responses, and the urgent demand to broaden and deepen our understanding of ecological processes across the vertical coastal zones.





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