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Despite the growing interest in recreational boating and the increasing number of marinas along the world's coastlines, environmental knowledge of these ecosystems is still very scarce. Detailed data of pollutants in marinas are necessary to provide a global approach of environmental risks in the context of international management strategies. In the present study, a set of 64 variables (30 in seawater and 34 in sediments) were measured to compare marinas from the Southern Iberian Peninsula (SIP). Uni and multivariate analyses showed significant differences among marinas, evidencing the importance of management on a local scale. The most relevant variables determining these differences were turbidity and the biocide Irgarol 1051 in seawater, and granulometry, hydrocarbons and faecal coliforms in sediment. The use of normalization techniques with Al or Fe, and the suitability of different methodologies to measure Total Organic Matter in marinas were also discussed. Additionally, we perform a comprehensive literature review of worldwide marina stressors and develop a simple and straightforward method for assessing environmental quality. The method was tested using SIP marinas and was based on the comparison of 15 selected sediment stressors with background values, concentrations of worldwide sediment quality guidelines (SQGs), and reference conditions/security thresholds established by the programme of coastal waters in port areas (ROM 5.1). A global score was assigned using a new proposed index, Marinas Environmental Pollution Index (MEPI), ranging from 0 to 150 points according to the environmental quality (<90: bad, 90-120: moderate, >120: good). MEPI of marinas from SIP ranged from 60 to 110 points indicating bad or moderate levels of pollution. Environmental quality is one of the decisive factors for awarding eco-labels or eco-certifications, such as Blue Flags in marinas. Therefore, pollution baseline information and environmental tools are mandatory for correct assignation of these awards and necessary for assessing the efficiency of management actions.
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http://dx.doi.org/10.1016/j.scitotenv.2020.144169 | DOI Listing |
BMC Plant Biol
December 2024
Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat- Sen), No. 1 Qianhu Houcun Road, Xuanwu District, Nanjing, 210014, China.
Background: Saffron (Crocus sativus L.) is a perennial, bulbous flower whose stigma is one of the most valuable spices, herbal medicines, and dyes. Light is an essential environmental regulator of plant growth, development, and metabolism.
View Article and Find Full Text PDFJ Chem Inf Model
December 2024
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.
Enzymes are ubiquitous catalysts with enormous application potential in biomedicine, green chemistry, and biotechnology. However, accurately predicting whether a molecule serves as a substrate for a specific enzyme, especially for novel entities, remains a significant challenge. Compared with traditional experimental methods, computational approaches are much more resource-efficient and time-saving, but they often compromise on accuracy.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
School of Chemistry and Environmental Science, Shaanxi University of Technology, Hanzhong 723000, China.
To investigate the pollution of microplastics and heavy metals from farmland soils in the upper Han River, the pollution status and distribution characteristics of pollutants were systematically analyzed. The risk level of pollutants was evaluated using methods such as the potential ecological risk index (RI). Source apportionment was identified using correlation analysis and cluster analysis.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
School of Water Resources & Environmental Engineering, East China University of Technology, Nanchang 330013, China.
The identification of distribution characteristics, pollution sources, and potential human health risks of heavy metals in groundwater is crucial for the scientific planning and rational development of groundwater resources in arid-semiarid regions. In this study, 46 groundwater samples were collected and analyzed using hydrogeochemical modeling and multivariate statistical analysis methods to reveal the pollution characteristics and speciation distribution of 11 heavy metals (As, B, Pb, Sb, Tl, Mn, Ba, Cd, Co, Cr, and Al) in the Datong Basin. The absolute principal component-linear regression (APCS-MLR) model and health risk assessment model (HRA) were employed to determine the sources and health risk levels of heavy metals in groundwater.
View Article and Find Full Text PDFSci Total Environ
December 2024
Univ. Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, F-33600 Pessac, France.
In the context of increasing pollution pressure on aquatic ecosystems, it is essential to improve our knowledge of habitat quality and its suitability for organisms. It is particularly relevant to better integrate early life stages of fish into pollution biomonitoring programs, as they are reliable indicators of ecosystem integrity and because of their high sensitivity to pollutants. To avoid the influence of environmental parameters on their development, a lab-on-field approach, called the ex-situ exposure method, was developed.
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