CLEAN COAST INDEX (CCI)

    Panel 1
    Update date
    Authors

    Tomaso Fortibuoni, Francesca Ronchi, Cecilia Silvestri

    Abstract
    Graph
    Abstract

    Any solid material, manufactured or transformed by man, abandoned or lost in the marine and coastal environment, or which reaches the sea in any way, is defined as marine waste. Italy, with Legislative Decree no. 190/2010 transposing the Framework Directive on the Strategy for the Marine Environment, has been carrying out an intense monitoring program of marine waste since 2015, including beached waste. Twice a year, in spring and autumn, the coastal Regional Environmental Protection Agencies (ARPA) carry out solid waste monitoring in the sample areas of 69 reference beaches along the national coast. To evaluate the degree of beach cleanliness based on the density of waste in the monitored sample areas, the Clean Coast Index (CCI), an indicator developed and applied internationally, was calculated.

    In 2024, the CCI was calculated for 66 beaches in spring and 69 in autumn. In spring, 80% of the beaches monitored were clean or very clean, compared to 8% dirty or very dirty. In autumn, 81% of beaches were clean or very clean, while 9% were dirty or very dirty. The rest of the beaches were quite clean. Compared to the previous year, the percentage of clean or very clean beaches increased in autumn (77% in 2023), while in spring it remained almost unchanged. In both spring and autumn there was a decrease in dirty and very dirty beaches, from 12% to 8% and from 12% to 9%, respectively.

    Description

    The Clean Coast Index (CCI) allows beaches to be classified into 5 categories based on the density of waste present in the monitored beach stretches:

    • very clean beach;
    • clean beach;
    • fairly clean beach;
    • dirty beach;
    • very dirty beach.

    The index was calculated starting from the data collected during monitoring activities conducted according to a methodology defined at European level as part of the Marine Strategy (MSFD Technical Group on Marine Litter, 2023). The monitoring of waste on beaches is carried out by the National System for Environmental Protection (SNPA), with the technical and scientific coordination of the Higher Institute for Environmental Protection and Research (ISPRA). The Ministry of the Environment and Energy Security (MASE) is the competent authority that guarantees the coordination of the activities envisaged as part of the implementation of the Marine Strategy.

    The index is displayed through symbols of different colours, from green to red, positioned on a map corresponding to the monitored coastlines (Figure 1). A representation of the percentage of beaches monitored by sub-region (Adriatic, Ionian and central Mediterranean, western Mediterranean) that present the different values ​​of the index is also provided.

    Purpose

    The index reflects the perception that users have of the cleanliness of the beaches (Alkalay et al., 2007; Cruz et al., 2020). It therefore represents an effective communication tool on the state of Italian beaches in terms of waste density. It also allows you to easily verify any reduction in waste on the beaches, identifiable by an increase in the percentage of clean and very clean beaches compared to previous years.

    Policy relevance and utility for users
    It is of national scope or applicable to environmental issues at the regional level but of national significance.
    It is able to describe the trend without necessarily providing an evaluation of it.
    It is simple and easy to interpret.
    It is sensitive to changes occurring in the environment and/or human activities
    It provides a representative overview of environmental conditions, environmental pressures, and societal responses.
    It provides a basis for international comparisons
    Analytical soundness
    Be based on international standards and international consensus about its validity;
    Be theoretically well founded in technical and scientific terms
    Presents reliability and validity of measurement and data collection methods
    Temporal comparability
    Spatial comparability
    Measurability (data)
    Adequately documented and of known quality
    Updated at regular intervals in accordance with reliable procedures
    Readily available or made available at a reasonable cost/benefit ratio
    An “adequate” spatial coverage
    An “appropriate” temporal coverage
    Main regulatory references and objectives

    Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for Community action in the field of marine environmental policy (Marine Strategy Framework Directive).

    Legislative Decree 13 October 2010, n. 190. Implementation of Directive 2008/56/EC establishing a framework for community action in the field of marine environmental policy.

    Decree 11 February 2015. Determination of the indicators associated with the environmental objectives and monitoring programmes, prepared pursuant to articles 10, paragraph 1 and 11, paragraph 1, of Legislative Decree no. 190/2010.

    DPSIR
    State
    Indicator type
    Descriptive (A)
    References

    Alkalay R., Pasternak G., Zask A. (2007). Clean-coast index-A new approach for beach cleanliness assessment. Ocean and Coastal Management. 50, 352–362.

    Cruz C. J., Muñoz-Perez J. J., Carrasco-Braganza M., Poullet P., Lopez-Garcia P., Contreras A., and Silva R. (2020). Beach cleaning costs. Ocean & Coastal Management, 188: 105118.  https://linkinghub. elsevier. com/retrieve/pii/S0964569120300284.

    MSFD Technical Group on Marine Litter, Guidance on the Monitoring of Marine Litter in European Seas An update to improve the harmonized monitoring of marine litter under the Marine Strategy Framework Directive, EUR 31539 EN, Publications Office of the European Union, Luxembourg, 2023, ISBN 978-92-68-04093-5, doi:10.2760/59137, JRC133594.

    Rangel-Buitrago N., Mendoza A. V., Gracia C A., Mantilla-Barbosa E., Arana V. A., Trilleras J., and Arroyo-Olarte H. (2019). Litter impacts on cleanliness and environmental status of Atlantic department beaches, Colombian Caribbean coast. Ocean & Coastal Management, 179: 104835. Elsevier.  https://linkinghub. elsevier. com/retrieve/pii/S0964569119301887.

    Data source

    SNPA

    Data collection frequency
    Six month
    Data availabilty
    Spatial coverage

    National

    Time coverage

    2018-2024

    Core SET
    SDGs Indicators
    SDG goals
    Goal 14: Life below water
    Processing methodology

    The index is calculated as the product between the density (objects/m²) of waste larger than 2.5 cm present in a portion of the beach of known surface area and a constant K, to which the value 20 is conventionally assigned (Alkalay et al., 2007). While in its original formulation the CCI was calculated only by considering plastic waste (Alkalay et al., 2007), in this context the formulation proposed by Rangel-Buitrago et al. Was adopted. (2019) which considers the sum of all waste as the numerator, not just plastic waste.

    CCI = (total waste/monitored area) * 20

    The numerical index is then coded as follows:

    • very clean beach (CCI: = 0–2);
    • clean beach (CCI = 2–5);
    • fairly clean beach (CCI = 5–10);
    • dirty beach (CCI = 10–20);
    • very dirty beach (CCI > 20).

    Waste detection is carried out twice a year, in spring and autumn.

    Update frequency
    Year
    Data quality

    The score relating to the quality of information derives from the fact that the indicator is simple to apply and interpret; the data is robust and comparable, as the sampling methodology is standardized. Furthermore, the spatial coverage is such as to guarantee information on a national scale, while the temporal coverage allows the trend to be assessed.

    Status
    Good
    Trend
    Positive
    State assessment/description

    At a national level (Figure 1), approximately half of the beaches monitored were very clean (55% in spring and 48% in autumn) or clean (26% in spring and 33% in autumn), while the percentage of dirty or very dirty beaches was low in both seasons (around 8%). In the Ionian and Central Mediterranean subregion, almost all beaches were very clean or clean in both seasons. The Adriatic, on the other hand, has the highest percentages of dirty or very dirty beaches (13% in spring and 17% in autumn), even if over half of the beaches are clean or very clean (78% in spring and 71% in autumn). In the Western Mediterranean sub-region only 2 beaches were very dirty in spring and none in autumn, while there were only 2 dirty beaches in autumn and none in spring.

    Trend assessment/description

    In 2024 the trend of decrease in the percentage of dirty and very dirty beaches is confirmed, which went from 2018 to 2024 from 19% to 8% in spring and from 16% to 9% in autumn. Conversely, the percentage of clean or very clean beaches increased from 66% to 80% in spring and from 73% to 81% in autumn (2018 vs 2024). Note how, in the spring of 2020, the percentage of very clean and clean beaches reached the maximum value of the available historical series (89%), a period in which many human activities were suspended or reduced due to the lockdown linked to the COVID-19 pandemic (Figure 2).

    Comments

    In 2024, in spring and autumn, in the Adriatic, 78% and 71% of the monitored beaches were clean or very clean, while 13% and 17% were classified as dirty or very dirty (Figure 3). In the Ionian and Central Mediterranean sub-region almost all beaches were clean or very clean in both seasons (93% in spring and 100% in autumn) (Figure 4). Finally, in the western Mediterranean, 75% of beaches were clean or very clean in spring and 80% in autumn; dirty or very dirty beaches were equal to 7% in both seasons (Figure 5). The remaining portion of beaches in each subregion were found to be fairly clean.

    The situation of Italian beaches in 2024 appears similar to what was observed in 2023, with high percentages of clean and very clean beaches and low percentages of dirty or very dirty beaches. 

    Data
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    Figure 1: Map of beaches monitored in spring and autumn classified according to the Clean Coast Index

    Data source

    ISPRA processing on ARPA data

    Data legend

    The index is displayed through different colored symbols, from green to red, positioned on a map corresponding to the monitored coastlines

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    Headline

    Figure 2: Percentage of very clean and clean (green lines) and dirty and very dirty (red lines) beaches over the years (2018-2024)

    Data source

    ISPRA processing on ARPA data

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    Figure 3: Breakdown in percentage terms of the different beach categories classified according to the Clean Coast Index in the Adriatic subregion (2024)

    Data source

    ISPRA processing on ARPA data

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    Figure 4: Breakdown in percentage terms of the different beach categories classified according to the Clean Coast Index in the Ionian and Central Mediterranean sub-region (2024)

    Data source

    ISPRA processing on ARPA data

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    Headline

    Figure 5: Breakdown in percentage terms of the different beach categories classified according to the Clean Coast Index in the Western Mediterranean sub-region (2024)

    Data source

    ISPRA processing on ARPA data

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    English