Soil aquifer treatment is widely applied to improve the quality of treated wastewater in its reuse as alternative source of water. To gain a deeper understanding of the fate of thereby introduced organic micropollutants, the attenuation of 28 compounds was investigated in column experiments using two large scale column systems in duplicate. The influence of increasing proportions of solid organic matter (0.04% vs. 0.17%) and decreasing redox potentials (denitrification vs. iron reduction) was studied by introducing a layer of compost. Secondary effluent from a wastewater treatment plant was used as water matrix for simulating soil aquifer treatment. For neutral and anionic compounds, sorption generally increases with the compound hydrophobicity and the solid organic matter in the column system. Organic cations showed the highest attenuation. Among them, breakthroughs were only registered for the cationic beta-blockers atenolol and metoprolol. An enhanced degradation in the columns with organic infiltration layer was observed for the majority of the compounds, suggesting an improved degradation for higher levels of biodegradable dissolved organic carbon. Solely the degradation of sulfamethoxazole could clearly be attributed to redox effects (when reaching iron reducing conditions). The study provides valuable insights into the attenuation potential for a wide spectrum of organic micropollutants under realistic soil aquifer treatment conditions. Furthermore, the introduction of the compost layer generally showed positive effects on the removal of compounds preferentially degraded under reducing conditions and also increases the residence times in the soil aquifer treatment system via sorption.
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http://dx.doi.org/10.1016/j.watres.2015.02.010 | DOI Listing |
Environ Pollut
December 2024
Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun 130021, PR China; College of New Energy and Environment, Jilin University, Changchun 130021, PR China; Key Laboratory of Regional Environment and Eco-restoration, Ministry of Education, Shenyang University, Shenyang 110044, PR China. Electronic address:
Biological soil crusts (BSCs) are the main landscape on the Qinghai-Tibetan Plateau and an ecological indicator of human disturbance. Information about antibiotic resistomes in BSCs on the Qinghai-Tibetan Plateau can provide baseline for the risk assessment and management of resistomes and yet to be explored. This work investigated the profiles and geographic patterns of antibiotic resistomes in BSCs along the Lhasa River and their response to anthropogenic activities for the first time.
View Article and Find Full Text PDFEnviron Microbiome
December 2024
GFZ German Research Centre for Geosciences, Section Geomicrobiology, Potsdam, Germany.
The Eger Rift subsurface is characterized by frequent seismic activity and consistently high CO concentrations, making it a unique deep biosphere ecosystem and a suitable site to study the interactions between volcanism, tectonics, and microbiological activity. Pulses of geogenic H during earthquakes may provide substrates for methanogenic and chemolithoautotrophic processes, but very little is currently known about the role of subsurface microorganisms and their cellular processes in this type of environment. To assess the impact of geologic activity on microbial life, we analyzed the geological, geochemical, and microbiological composition of rock and sediment samples from a 238 m deep drill core, running across six lithostratigraphic zones.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Wuhan Center, China Geological Survey (Central South China Innovation Center for Geosciences), Wuhan 430205, China.
Nitrate pollution in water bodies is a worldwide environmental problem, and identifying the sources of nitrate is of great significance to guarantee the sustainable use of water resources. A variety of water chemistry indicators and nitrate nitrogen and oxygen isotopes (N-NO and O-NO) were used to analyze the water chemistry characteristics of water bodies in Shiyan to identify the sources of nitrate in the water bodies and to calculate the contribution rate of nitrate from different pollution sources of the water bodies using the SIMMR model. The results showed that the hydrochemical types of surface water and groundwater in the study area were dominated by the HCO-Ca·Mg type, and the formation of nitrate in the water body was mainly affected by nitrification, with non-obvious denitrification.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
School of Water Resources & Environmental Engineering, East China University of Technology, Nanchang 330013, China.
The identification of distribution characteristics, pollution sources, and potential human health risks of heavy metals in groundwater is crucial for the scientific planning and rational development of groundwater resources in arid-semiarid regions. In this study, 46 groundwater samples were collected and analyzed using hydrogeochemical modeling and multivariate statistical analysis methods to reveal the pollution characteristics and speciation distribution of 11 heavy metals (As, B, Pb, Sb, Tl, Mn, Ba, Cd, Co, Cr, and Al) in the Datong Basin. The absolute principal component-linear regression (APCS-MLR) model and health risk assessment model (HRA) were employed to determine the sources and health risk levels of heavy metals in groundwater.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Basin Research Center for Water Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
The Beijing-Tianjin-Hebei (Jing-Jin-Ji) Region is home to the most acute economic, resource, and environmental conflicts in the Bohai Sea region, and the rivers entering the sea carry abundant total nitrogen (TN) input into the Bohai Bay, which is the main land-based input causing eutrophication of the bay. The Haihe River Basin in the Jing-Jin-Ji Region was divided into 112 (2018-2019) and 187 (2020-2022) control units, and the spatial and temporal variations in TN concentration in the surface water of the Haihe River Basin in the Jing-Jin-Ji Region were systematically analyzed from 2018 to 2022 by combining the Euclidean distance analysis method and the K-means clustering analysis method. The results showed that the annual average concentration of TN in the region showed a trend of decreasing (2018-2020) and then increasing (2021-2022), in which the concentration of TN increased significantly from June 2021 to June 2022.
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