کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7478365 1485208 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A full-scale comparison of two hybrid constructed wetlands treating domestic wastewater in Pakistan
ترجمه فارسی عنوان
مقیاس کامل دو تالاب ساخته شده از هیبرید برای درمان فاضلاب خانگی در پاکستان
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Objective of the current work was to monitor the year-round response of full-scale hybrid constructed-wetlands (CWs) treating domestic wastewater under variable continuous flow. Two systems were evaluated: system-I consisted of an anaerobic baffled reactor (ABR) followed by a saturated vertical subsurface-flow (VSSF) CW and a free-water-surface (FWS) CW as a tertiary treatment; system-II consisted of an ABR followed by a horizontal subsurface-flow (HSSF) CW and FWS. Maximum reduction of 80 and 78%, 81 and 82%, 63 and 69%, 79 and 89% for chemical oxygen demand (COD), biological oxygen demand (BOD), total kjeldahl nitrogen (TKN) and total suspended solids (TSS) was achieved in Systems I and II respectively. There was also effective removal (94% and 93%) of the bacterial population in both systems while more than 94% of pathogenic microorganisms were removed. Data from both systems were further used to compute the first-order rate constants for the k-C* model commonly used in CW design. The treatment performance was confirmed to follow a first-order reaction rate, in which the k20 values of chemical oxygen demand (COD), biological oxygen demand (BOD), total kjeldahl nitrogen (TKN), total phosphorus (TP) and total suspended solids were calculated as 165, 117, 133, 7.5 and 78 m yr−1 respectively for VSSF and 226, 134, 199, 22 and 73 m yr−1 respectively for HSSF. A positive correlation with temperature was discovered for all parameters in both systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Environmental Management - Volume 210, 15 March 2018, Pages 349-358
نویسندگان
, , ,