Multimedia fates and ecological risk control strategies of phthalic acid esters in a lake recharged by reclaimed water using the QWASI fugacity model
Chenchen Wang,
Jing Li,
Chunsheng Qiu,
Lei Wang,
Xiao Su,
Panpan Huang,
Na He,
Liping Sun,
Yaohui Bai,
Chaocan Li and
Yufei Wang
Ecological Modelling, 2023, vol. 475, issue C
Abstract:
Reclaimed water used for lake recharge can bring a variety of pollutants, such as phthalic acid esters (PAEs), into the lake and thus pose a potential threat to aquatic ecosystems. In this study, the fates of the 4 PAEs (dimethyl phthalate (DMP), diethyl phthalate (DEP), di-n-butyl phthalate (DBP) and di-2-ethylhexyl phthalate (DEHP)) in a lake recharged by reclaimed water were simulated using the QWASI model. Results showed that atmospheric input was the main source of DMP (72.97%) and DEHP (87.64%), and reclaimed water replenishment was the main source of DEP (81.02%) and DBP (82.53%) in the lake. In the lake system, most of DMP (85.45%), DEP (68.40%) and DBP (51.58%) distributed in water, while most of DEHP (75.43%) were in sediment. The hazard quotient (HQ) calculating results showed that DBP in sediment (0.27) posed a low ecological risk, and DEHP in water (4.84) and sediment (1.03) posed medium ecological risks. Then the risk control strategies of DBP and DEHP were proposed through multi-scenario simulation of 4 schemes and mathematical fitting between controllable source factors and hazard quotients. The risk of DBP in the lake could be effectively reduced by decreasing its level in reclaimed water. For the reduction of DEHP risk, it is necessary to combine the optimization of reclaimed water recharge with air source control. This study also provides a method for quantitative management of comprehensive ecological risk of multiple contaminants in reclaimed water for lake recharge.
Keywords: Multimedia fugacity model; Reclaimed water; Phthalic acid esters; Transport and fate; Ecological risk assessment and control (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:475:y:2023:i:c:s0304380022003209
DOI: 10.1016/j.ecolmodel.2022.110222
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