Fate of effluent organic matter and DBP precursors in an effluent-dominated river: A case study of wastewater impact on downstream water quality

2009 ◽  
Vol 43 (6) ◽  
pp. 1755-1765 ◽  
Author(s):  
Baiyang Chen ◽  
Seong-Nam Nam ◽  
Paul K. Westerhoff ◽  
Stuart W. Krasner ◽  
Gary Amy
2016 ◽  
Vol 16 (6) ◽  
pp. 1659-1667 ◽  
Author(s):  
E. Giresunlu ◽  
B. Beler Baykal

A case study of the conversion to grey water to a flush water source in a student residence hall of the Turkish megacity Istanbul is presented. Grey water from bathtubs/showers and washbasins is treated and reused for flushing toilets. Raw and membrane bio-reactor (MBR) treated grey water quality was monitored throughout one academic year using parameters to characterize organic matter (COD/BOD), suspended solids (TSS/VSS), nutrients (N/P) and microbiological indicators (total/fecal coliform, Escherichia coli, Enterococcus). For raw grey water, all mean concentrations are below the characteristic concentrations for weak conventional domestic wastewater in terms of physicochemical parameters. However, total coliform concentrations were 7 logs, which is compatible with weak/intermediate conventional domestic wastewater and the mean concentration of fecal coliforms was 6 logs, corresponding to intermediate/strong conventional domestic wastewater. Results of this work revealed that organic matter and microbiological indicators were the important pollutants for this specific grey water. After treatment in an MBR system, grey water quality complied with standards given for reuse as flush water. The student residence hall was a successful example of conversion to grey water as a flush water source. As such, 25% of the wastewater could be revaluated and 25% of the regular daily water supply could be saved.


Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 159 ◽  
Author(s):  
Guoyu Xu ◽  
Xiaodong Ren ◽  
Zhenhua Yang ◽  
Haifei Long ◽  
Jie Xiao

Water quality is highly influenced by the composition and configuration of landscape structure, and regulated by various spatiotemporal factors. Using the Wujiang river watershed as a case study, this research assesses the influence of landscape metrics—including composition and spatial configuration—on river water quality. An understanding of the relationship between landscape metrics and water quality can be used to improve water contamination predictability and provide restoration and management strategies. For this study, eight water quality variables were collected from 32 sampling sites from 2014 through 2017. Water quality variables included nutrient pollutant indicators ammoniacal nitrogen (NH3-N), nitrogen (NO3−), and total phosphate (TP), as well as oxygen-consuming organic matter indicators COD (chemical oxygen demand), biochemical oxygen demand (BOD5), dissolved oxygen (DO), and potassium permanganate index (CODMn). Partial least squares (PLS) regression was used to quantitatively analyze the influence of landscape metrics on water quality at five buffer zone scales (extending 3, 6, 9, 12, and 15 km from the sample site) in the Wujiang river watershed. Results revealed that water quality is affected by landscape composition, landscape configuration, and precipitation. During the dry season, landscape metrics at both landscape and class levels predicted organic matter at the five buffer zone scales. During the wet season, only class-level landscape metrics predicted water contaminants, including organic matter and nutrients, at the middle three of five buffer scales. We identified the following important indicators of water quality degradation: percent of landscape, edge density, and aggregation index for built-up land; aggregation index for water; CONTAGION; COHESION; and landscape shape index. These results suggest that pollution can be mitigated by reducing natural landscape composition fragmentation, increasing the connectedness of region rivers, and minimizing human disturbance of landscape structures in the watershed area.


2016 ◽  
Vol 5 (6) ◽  
pp. 235-243
Author(s):  
Shampa Deb ◽  
Ajay S. Kalamdhad

The water and algal samples were collected from selected three sampling stations of IITG campus of Assam. A total of 29 numbers of algal species along with 28 numbers of macrophytes species were recorded from three sampling stations throughout the study period.The pH value of water shows alkaline in nature with optimum temperature. The results of the present study revealed that the water quality was affected by thedecomposition of organic matter, inputs of campus waste, litter deposition, etc.Bacillariophyceae was represented by highest number of species fol lowed by Chlorophyceae and Cyanophyceae. Among the algal species Spirogyra, Surirella lanceolate and Euglena were abundantly present in the study area.


2019 ◽  
Vol 14 (2) ◽  
pp. 55
Author(s):  
Afifah Nasukha ◽  
Reagan Septory ◽  
Gigih Setia Wibawa ◽  
Karl-Heinz Runte

Mariculture industry has been developed progressively in Indonesia, where its impact on the surrounding aquatic environment is inevitable. The particulate wastes produced such as excess food and feces will be discharged from a marine farm and dispersed into the surrounding areas. This process could lead to organic enrichment of the receiving seabed sediment and gradually degrade water quality and disturb local benthic community as well as the aquatic ecosystem of the area. This study focused on determining the level of organic enrichment of sediment underneath four currently-active farms in Pegametan Bay, North Bali, Indonesia. The results showed that high accumulation of organic matters was evident in all sampling farms indicated by a significantly high particulate organic matter (POM) between 75.20 ± 2.57 and 92.97 ± 0.59%, and low redox values between -217.41 ± 2.74 and -343.57 ± 1.48 mV. A visual-based assessment also determined that the sediment had a silt and muddy texture with deep grey to black colorization with noticeable strong H2S odor. In this case, further investigations and monitoring efforts are needed in the near future to ensure the best management programs for sustainable farming and ecosystem both fish farmers and environmental regulators such as local government.


2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  

2018 ◽  
Vol 2 (1) ◽  
pp. 18-20 ◽  
Author(s):  
Muhammad Usman ◽  
Mian Bilal Khalid ◽  
Hafsa Yasin ◽  
Abdul Nasir, ◽  
Ch Arslan

Author(s):  
Kamal N. M. A. N. M. ◽  
◽  
Nasir N. F. ◽  
Abdul Patar M. A. ◽  
Seis M. F. ◽  
...  
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