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亚马孙河流域(巴西)东部垃圾渗滤液产生的水文气象特征及估算。

Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil.

机构信息

Postgraduate Program in Tropical Biodiversity, Federal University of Amapá, Macapá, Amapá, Brazil.

Postgraduate Program in Environmental Sciences, Federal University of Amapá, Macapá, Amapá, Brazil.

出版信息

PeerJ. 2023 Jan 23;11:e14686. doi: 10.7717/peerj.14686. eCollection 2023.

DOI:10.7717/peerj.14686
PMID:36710870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9879154/
Abstract

The complex physical-chemical and microbiological composition of leachate in sanitary landfills sets the adequate treatment for different waste types. However, before the final disposal of wastes in receptor waterbodies, it is essential to use specific methods to quantitatively prevent internal flows to find proper treatments. The aim of the present research is to use hydrological models to estimate monthly leachate flow generation in Macapá's Municipal Sanitary Landfill (ASMM), Amapá State, Brazil. Disregarding the temporal trend bias, the average (0.45 ms), minimum (0.07 ms) and maximum (0.72 ms) flows were estimated based on hydrological models in the literature (R = 99%,  < 0.05). The results estimated from different hydrological gauges pointed towards significant spatial variations in final discharge. Thus, estimated flows worked as reference to calculate the loads of coproducts and nutrients concerning different operational stages in ASMM. Therefore, rain intensity estimates have pointed out precipitation variability, and it has significantly affected leachate flow. In conclusion, there would be a proportional increase in leachate flow during extreme maximum precipitation events; overflow would be the effect of such flows and it would assumingly have impact on its surrounding areas. It is also possible estimating some degree of rainfall impact over ASMM's infrastructure in the long term (>10 years), since it could influence its lifespan.

摘要

垃圾填埋场渗滤液的复杂物理化学和微生物组成决定了不同类型废物需要进行适当的处理。然而,在废物最终被排放到受纳水体之前,必须使用特定的方法来定量防止内部流动,以找到合适的处理方法。本研究的目的是使用水文模型来估计巴西阿马帕州马卡帕市市政垃圾填埋场(ASMM)每月的渗滤液产生量。在忽略时间趋势偏差的情况下,根据文献中的水文模型估计了平均(0.45 ms)、最小(0.07 ms)和最大(0.72 ms)流量(R = 99%,<0.05)。不同水文测量仪器的结果表明最终排放存在显著的空间变化。因此,估计的流量可作为参考,以计算 ASMM 不同操作阶段的副产物和养分的负荷。因此,降雨量的估计指出了降水的可变性,这对渗滤液的流量有显著影响。总之,在极端最大降水事件中,渗滤液的流量会呈比例增加;这种流量会导致溢流,对其周围地区产生影响。从长期来看(>10 年),还可以估计某些程度的降雨对 ASMM 基础设施的影响,因为这可能会影响其使用寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/09bdaceb14db/peerj-11-14686-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/98ae725753ec/peerj-11-14686-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/ab7bbf7ef967/peerj-11-14686-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/e7ef7fb5efc8/peerj-11-14686-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/3d4cf0e2737a/peerj-11-14686-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/df2ef31545fa/peerj-11-14686-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/09bdaceb14db/peerj-11-14686-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/98ae725753ec/peerj-11-14686-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/ab7bbf7ef967/peerj-11-14686-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/e7ef7fb5efc8/peerj-11-14686-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/3d4cf0e2737a/peerj-11-14686-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/df2ef31545fa/peerj-11-14686-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce5b/9879154/09bdaceb14db/peerj-11-14686-g006.jpg

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Landscape composition and inorganic contaminants in water and muscle tissue of Plagioscion squamosissimus in the Araguari River (Amazon, Brazil).亚拉瓜里河(巴西亚马孙地区)圆颌针鱼肌肉组织和水域中的景观构成及无机污染物。
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Modeling pollutant dispersion scenarios in high vessel-traffic areas of the Lower Amazon River.
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