Department of Metallurgical and Mining Engineering, Universidad Católica del Norte, Antofagasta 1270709, Chile.
Int J Environ Res Public Health. 2020 Nov 12;17(22):8384. doi: 10.3390/ijerph17228384.
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.
海滩垃圾是一个全球性问题，具有多种负面影响。防止环境危害的第一步是确定和模拟污染水平。在本文中，地质统计学模拟用于对智利安托法加斯塔污染最严重的海滩之一的两种主要海滩垃圾（烟头和尖锐物品）进行建模。生成一百次烟头和碎玻璃的实现，以模拟它们的联合空间分布。模拟结果用于根据碎玻璃受伤的风险和烟头污染程度将海滩划分为不同区域。获得的模型可由地方当局用于海滩清理计划，并由海滩游客在选择最安全和最清洁的区域时使用。结果表明地质统计学模拟算法能够对不同类型的海滩垃圾进行建模。
