Matang Mangrove Forest Reserve (MMFR) is one of the most productive and managed forests in the world. On the other hand, it has become a concern whether MMFR is being degraded as a result of exposure to industrial pollution. Industries located around MMFR dispose effluents contaminated by heavy metals. This study was conducted to analyze heavy metal contamination and risk assessment status in MMFR sediments. Sediment samples from six compartments were collected based on age and location of the mangrove plantation. Total metal digestion and modified sequential extraction were performed to estimate the concentration of heavy metals. Based on the estimation, risk assessment code, geo-accumulation index, pollution load index, and contamination factor were computed to classify the compartments according to their contamination and pollution levels. Organic matter and sediment texture (silt, clay, and sand content) were also analyzed to find its correlation with heavy metals. According to the results, high concentrations for Copper, Nickel, and Cadmium were observed in Compartment 42, while Compartment 18 and Compartment 74 showed higher concentrations for Zinc and Lead. Heavy metals showed weak positive correlation with clay and silt, but weak negative correlation with sand. For organic matter, only Zinc showed statistically significant but weak negative correlation. Risk assessment code, geo-accumulation index, pollution load index, and contamination factor categorized the compartments into unpolluted to moderately polluted. Based on the study outcomes, it can be concluded that MMFR, although acquiring industrial discharge, is not with a high risk of heavy metal contamination.

中文翻译：

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马塘红树林保护区沉积物重金属浓度风险评估

马当红树林保护区 (MMFR) 是世界上生产力和管理最丰富的森林之一。另一方面，MMFR 是否因暴露于工业污染而降解已成为一个问题。位于 MMFR 周围的工业处理受重金属污染的污水。本研究旨在分析 MMFR 沉积物中的重金属污染和风险评估状况。根据红树林种植园的年龄和位置收集了来自六个隔间的沉积物样品。进行总金属消化和改进的顺序提取以估计重金属的浓度。根据估计，计算风险评估代码、地累积指数、污染负荷指数和污染因子，根据其污染和污染水平对隔间进行分类。还分析了有机物和沉积物质地（淤泥、粘土和沙子含量）以发现其与重金属的相关性。根据结果​​，在第 42 号隔间观察到高浓度的铜、镍和镉，而第 18 和第 74 间隔间中锌和铅的浓度更高。重金属与粘土和粉砂呈弱正相关，与砂呈弱负相关。对于有机质，只有锌表现出统计学上显着但弱的负相关。风险评估代码、地理累积指数、污染负荷指数和污染因子将隔间划分为未污染到中度污染。根据研究结果，可以得出结论，MMFR虽然获得了工业排放，但重金属污染的风险并不高。