حذف فلزات سنگین از روسازی های متخلخل برای تصفیه پساب
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حذف فلزات سنگین از روسازی های متخلخل برای تصفیه پساب

عنوان فارسی مقاله: پیش بینی حذف طولانی مدت فلزات سنگین از روسازی های متخلخل برای تصفیه پساب
عنوان انگلیسی مقاله: Predicting long term removal of heavy metals from porous pavements for stormwater treatment
مجله/کنفرانس: تحقیقات آب – Water Research
رشته های تحصیلی مرتبط: محیط زیست، مهندسی عمران، شیمی
گرایش های تحصیلی مرتبط: آب و فاضلاب، شیمی تجزیه
کلمات کلیدی فارسی: مدل k-C *؛ مدل مبتنی بر فرآیند؛ گرفتگی؛ جذب؛ واجذب
کلمات کلیدی انگلیسی: k-C* model; process-based model; clogging; adsorption; desorption
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journal List - JCR - MedLine
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.watres.2018.05.038
دانشگاه: Water Research Centre – The University of New South Wales – Australia
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: 7.192 در سال 2017
شاخص H_index: 247 در سال 2019
شاخص SJR: 2.601 در سال 2017
شناسه ISSN: 0043-1354
شاخص Quartile (چارک): Q1 در سال 2017
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 27
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E9463
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Methods


3- Results and discussion


4- Conclusions


Appendix A. Supplementary data


References

نمونه متن انگلیسی مقاله

Abstract


Porous pavements are commonly used stormwater management systems. However, the understanding of their long-term capacity to retain heavy metals is limited. This study aims to investigate the longterm removal of heavy metals in three different porous pavements – Porous Asphalt (PA), Hydrapave (HP) and Permapave (PP) over accelerated laboratory experiments representing 26 years with varying hydrological conditions (drying/wetting periods and flow rates). A treatment model that simulates adsorption and desorption processes was developed for the first time to predict the long-term heavy metal removal by porous pavements. Unsurprisingly, all tested porous pavements performed better in removing metals that tend to attach to solid particles (e.g. Pb, Al, Fe) than more soluble ones (e.g. Cu, Zn, and Mn). There was a general increase of heavy metal concentrations at the outlet of the pavements over time as a result of a decrease in adsorption capacity of the systems, especially after the occurrence of clogging; the soluble heavy metals removal decreased with a reduction in flow rates which was speculated to be due to more time being available for desorption of metals and breakdown of accumulated sediments. The proposed model simulated the trend, fluctuations and peaks of heavy metal concentrations reasonably well, achieving the Nash-Sutcliffe coefficient (NSE) values of 0.53- 0.68 during model calibration. The model was most promising in predicting Al and Cu release from porous pavements (50%-91% of the observed data within the 90% uncertainty bands, NSE=0.44-0.74), followed by Fe and Pb (27-77% observations within the bands, NSE=0.20-0.69). Further improvements of the model are needed for it to be applicable for Zn and Mn.


Introduction


Due to the increase in impervious areas alongside rapid urbanisation, urban stormwater runoff and pollution have increased significantly (Goonetilleke et al., 2005;Zgheib et al., 2012). This causes adverse impacts not only on downstream water quality (Jeng et al., 2005), but also on stream health (Booth and Jackson, 1997). Meanwhile stormwater can also be an alternative resource if collected and treated properly. To manage stormwater issues in cities, a variety of techniques have been developed under the concept of Water Sensitive Urban Design (WSUD, also called Low Impact Development in USA, Sustainable Urban Drainage Systems in the UK, and Sponge City in China – Fletcher et al. (2015)). Porous pavements are one WSUD technology that can be easily retrofitted within dense urban areas, providing unique opportunities to infiltrate stormwater on site as source control measures without taking up space in urban landscape (Mullaney and Lucke, 2014).

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