Multivariate Geostatistical Modeling and Risk Analysis of Beach Litter: A Case Study of Playa Blanca Beach, Chile.
Int J Environ Res Public Health
; 17(22)2020 11 12.
Article
em En
| MEDLINE
| ID: mdl-33198385
ABSTRACT
Beach litter is a worldwide problem that has several negative effects. A first step in preventing an environmental hazard is to determine and model the level of contamination. In this paper, geostatistical simulation is used to model two main forms of beach litter (cigarette butts and sharp items) in one of the most contaminated beaches in Antofagasta, Chile. A hundred realizations of cigarette butts and broken glass are generated to emulate their joint spatial distribution. The simulation results are used to classify the beach into different areas with respect to the risk of injury by broken glass and the level of contamination by cigarette butts. The models obtained can be used by local authorities in beach clean-up programs and by visitors to beaches in choosing the safest and cleanest areas. The results demonstrate the capability of geostatistical simulation algorithms to model different types of beach litter.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
2_ODS3
Base de dados:
MEDLINE
Assunto principal:
Praias
/
Monitoramento Ambiental
/
Modelos Estatísticos
/
Medição de Risco
/
Poluição Ambiental
Tipo de estudo:
Etiology_studies
/
Risk_factors_studies
Aspecto:
Determinantes_sociais_saude
País/Região como assunto:
America do sul
/
Chile
Idioma:
En
Revista:
Int J Environ Res Public Health
Ano de publicação:
2020
Tipo de documento:
Article