Exploring relationships among landfill leachate parameters through multivariate analysis for monitoring purposes.

IF 3.7 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Thi Ngoc Nguyen, Masaki Takaoka, Taketoshi Kusakabe
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Abstract

Elucidating the properties of landfill leachate and the relationships among leachate parameters is crucial for efforts to determine appropriate landfill leachate monitoring activity and management strategies. This study investigated the physical, chemical and optical parameters of leachate in an old Japanese landfill over a 13-month period. The parameters were explored based on their relationships with the maximum fluorescence (Fmax) of three components (microbial humic-like C1, terrestrial humic-like C2 and protein-like C3) deconvoluted from excitation-emission matrix fluorescence spectroscopy coupled with parallel factor analysis. Dissolved organic carbon (DOC), chemical oxygen demand (COD), Cl- and SO42- concentrations and pH ranged from 2.6 to 38.2 mg C L-1, 9 to 324 mg L-1, 14 to 972 mg L-1, 26 to 1554 mg L-1 and 6.9 to 11.6, respectively. Linear regression analysis suggested that the Fmax values of C2 and C3 represented DOC, whereas the Fmax value of C2 alone could serve as a COD indicator. Hierarchical cluster analysis and principal component analysis were employed to successfully categorise leachate samples based on their locations. Higher dissolved organic matter levels were observed in leachate within the old disposal area, whereas elevated levels of inorganic components such as SO42- and Cl- were found in leachate collected from the extended disposal area and at a treatment facility. Statistical analysis provides crucial tools for assessing and managing various areas of a landfill, supporting targeted and effective waste management strategies.

通过多变量分析探索垃圾填埋场沥滤液参数之间的关系,以达到监测目的。
阐明垃圾填埋场渗滤液的特性以及渗滤液参数之间的关系,对于确定适当的垃圾填埋场渗滤液监测活动和管理策略至关重要。本研究调查了日本一个旧垃圾填埋场 13 个月内渗滤液的物理、化学和光学参数。这些参数是根据它们与三种成分(微生物类腐殖质 C1、陆生类腐殖质 C2 和蛋白质类 C3)的最大荧光(Fmax)之间的关系进行探讨的。溶解有机碳 (DOC)、化学需氧量 (COD)、Cl- 和 SO42- 浓度以及 pH 值分别为 2.6 至 38.2 毫克 C L-1、9 至 324 毫克 L-1、14 至 972 毫克 L-1、26 至 1554 毫克 L-1 和 6.9 至 11.6。线性回归分析表明,C2 和 C3 的 Fmax 值代表 DOC,而仅 C2 的 Fmax 值可作为 COD 指标。通过层次聚类分析和主成分分析,成功地根据沥滤液样本的位置对其进行了分类。在旧垃圾处理区内的沥滤液中观察到较高的溶解有机物含量,而在扩展垃圾处理区和处理设施收集的沥滤液中则发现较高的无机成分,如 SO42- 和 Cl-。统计分析为评估和管理垃圾填埋场的各个区域提供了重要工具,有助于制定有针对性的有效废物管理策略。
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来源期刊
Waste Management & Research
Waste Management & Research 环境科学-工程:环境
CiteScore
8.50
自引率
7.70%
发文量
232
审稿时长
4.1 months
期刊介绍: Waste Management & Research (WM&R) publishes peer-reviewed articles relating to both the theory and practice of waste management and research. Published on behalf of the International Solid Waste Association (ISWA) topics include: wastes (focus on solids), processes and technologies, management systems and tools, and policy and regulatory frameworks, sustainable waste management designs, operations, policies or practices.
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