Characterization and source identification of stormwater runoff in tropical urban catchments

2013 ◽  
Vol 69 (2) ◽  
pp. 244-252 ◽  
Author(s):  
M. F. Chow ◽  
Z. Yusop

The characteristics of urban stormwater pollution in the tropics are still poorly understood. This issue is crucial to the tropical environment because its rainfall and runoff generation processes are so different from temperate regions. In this regard, a stormwater monitoring program was carried out at three urban catchments (e.g. residential, commercial and industrial) in the southern part of Peninsular Malaysia. A total of 51 storm events were collected at these three catchments. Samples were analyzed for total suspended solids, 5-day biochemical oxygen demand, chemical oxygen demand (COD), oil and grease, nitrate nitrogen, nitrite nitrogen, ammonia nitrogen (NH3-N), soluble reactive phosphorus and total phosphorus. Principal component analysis (PCA) and hierarchical cluster analysis were used to interpret the stormwater quality data for pattern recognition and identification of possible sources. The most likely sources of stormwater pollutants at the residential catchment were from surface soil and leachate of fertilizer from domestic lawns and gardens, whereas the most likely sources for the commercial catchment were from discharges of food waste and washing detergent. In the industrial catchment, the major sources of pollutants were discharges from workshops and factories. The PCA factors further revealed that COD and NH3-N were the major pollutants influencing the runoff quality in all three catchments.

2011 ◽  
Vol 63 (6) ◽  
pp. 1211-1216 ◽  
Author(s):  
M. F. Chow ◽  
Z. Yusop ◽  
M. Mohamed

This paper examines the storm runoff quality from a commercial area in south Johor, Malaysia. Six storm events with a total of 68 storm runoff samples were analyzed. Event Mean Concentration (EMC) for all constituents analysed showed large inter-event variation. Site mean concentrations (SMC) for total suspended solids (TSS), oil and grease (O&G), biochemical oxygen demand (BOD), chemical oxygen demand (COD), nitrate-nitrogen (NO3-N), nitrite-nitrogen (NO2-N), ammonia-nitrogen (NH3-N), total phosphorus (Total P) and Soluble P are 261, 4.31, 74, 192, 1.5, 0.006, 1.9, 1.12 and 0.38 mg/L, respectively. The SMCs at the studied site are higher than those reported in many urban catchments. The mean baseflow concentrations were higher than the EMCs for COD, Soluble P, NH3-N, NO3-N, Total P and NO2-N. However, the reverse was observed for TSS and O&G. All pollutants showed the occurrence of first flush phenomenon with the highest strength was observed for TSS, COD and NH3-N.


2011 ◽  
Vol 255-260 ◽  
pp. 2718-2721
Author(s):  
Ru Zhang ◽  
Anthony N. Tafuri ◽  
Richard Field ◽  
Shaw L. Yu ◽  
Wen Bin Zhou ◽  
...  

Xikeng Reservoir is one of the major water supply reservoirs in Shenzhen. The water quality of Xikeng Reservoir has been poor, with much of the pollution coming from nonpoint sources. An innovative low impact development type of BMP called the BioBox was used at the Administration Building parking lot location, as a research site and demonstration project to show how small alterations to parking lot designs can dramatically decrease pollutant loads. Manual samples were collected during storm events and analyzed for total suspended solids (TSS); five-day biochemical oxygen demand (BOD5); ammonia nitrogen (NH3-N), and total phosphorus (TP). In summary, the ranges of removal rates of the BioBox are: TSS 70% - 90%; BOD5 20% - 50%, and ammonia and phosphorus 30% - 70%. The BioBox system effectively reduced the concentrations of pollutants in the parking lot runoff.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mochamad A. Pratama ◽  
Yan D. Immanuel ◽  
Dwinanti R. Marthanty

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.


Author(s):  
Rodrigo Augusto Klamt ◽  
Eduardo Alexis Lobo ◽  
Adilson Ben da Costa ◽  
Dionei Minuzzi Delevati

This research evaluated the effectiveness of the implementation of water resource preservation areas in the Hydrographical Basin of Andreas Stream, county of Vera Cruz, RS, Brazil, established through Payment for Environmental Services (PES), using an environmental monitoring program to assess physical, chemical and microbiological variables. The PES is linked to the "Water Guardian" project, which aims to ensure the preservation of water resources by paying farmers for providing the environmental services to protect the springs and riparian areas that lie within their properties. Twenty sampling stations were selected for collecting water samples monthly during the period July 2012 to June 2014 (460 samples) to evaluate the following variables: water temperature, pH, turbidity, dissolved oxygen, biochemical oxygen demand, nitrate, ammonia nitrogen, phosphate, total dissolved solids and thermotolerant coliforms. The evaluation was made based on decree 357/2005 of the National Environmental Council (CONAMA) and by applying the Water Quality Index (WQI). The results indicated a significant improvement in the water quality when comparisons were made between the periods before and after the installation of the preservation areas. The sampling points classified as “good” (CONAMA and WQI), which indicates water of good quality that is appropriate for multiple uses, increased from 52.0% to 72.0%. In this sense, promoting the preservation of headwaters and riparian zones becomes of fundamental importance and highlights the role of PES as an operational tool for water resource preservation.


2021 ◽  
Vol 83 (3) ◽  
pp. 29-36
Author(s):  
Thanh Giao Nguyen ◽  
Vo Quang Minh

The study aimed to evaluate the surface water quality of the Tien River and identify water quality parameters to be monitored using the water quality monitoring data in the period of 2011 - 2019. The water samples were collected at five locations from Tan Chau to Cho Moi districts, An Giang province for three times per year (i.e., in March, June, and September). Water quality parameters included temperature (oC), pH, dissolved oxygen (DO), total suspended solids (TSS), nitrate (NO3--N), orthophosphate (PO43--P), biological oxygen demand (BOD), and coliforms. These parameter results were compared with the national technical regulation on surface water quality QCVN 08-MT: 2015/BTNMT, column A1. Principal component analysis (PCA) was used to identify the sources of pollution and the main factors affecting water quality. The results of this study showed that DO concentration was lower and TSS, BOD, PO43--P, coliforms concentrations in the Tien river exceeded QCVN 08-MT: 2015/BTNMT, column A1. pH, temperature, and NO3--N values were in accordance with the permitted regulation. The water monitoring parameters were seasonally fluctuated. DO, BOD, TSS, and coliforms concentrations were higher in the rainy season whereas NO3--N and PO43--P were higher in the dry season. The PCA results illustrated that pH, TSS, DO, BOD, PO43--P and coliforms should be included in the monitoring program. Other indicators such as temperature and NO3--N could be considered excluded from the program to save costs. 


2016 ◽  
Vol 5 (1) ◽  
pp. 187 ◽  
Author(s):  
Kok Weng Tan ◽  
Weng Chee Beh

<p class="ber"><span lang="EN-GB">This study applies the Principal Component Analysis (PCA) to evaluate and interpret the relationship between water quality and benthic macro-invertebrates fauna data obtained from <span class="longtext">Pauh River, Cameron Highlands. Samples were collected once every two months (in February, April, June, August and October 2013) with six chosen sampling stations. Six water quality parameters namely </span></span><span lang="EN-GB">dissolved oxygen (DO), pH, biological oxygen demand (BOD<sub>5</sub>), chemical oxygen demand (COD), ammonia-nitrogen (NH<sub>3</sub>-N), total suspended solid (TSS) and heavy metals contents <span class="longtext"><span>were analyzed according to American Public Health Association (APHA), </span></span>Standard Methods for Examination of Water and Wastewater<span class="longtext"><span> (1998)</span>. <span>Macro-invertebrates were also sampled using Surber sampler and were identified until their family level. Water Quality Index (WQI) values for all stations were class II except for the station 6 which was recorded as class III. Both the diversity and biotic indices showed decreasing value from the upstream (Station 1) to downstream (Station 6). </span></span>A total 28 to 31 taxa have been found in Station 1, 2, 3 and 5 (upstream to middle stream). However, only 7 taxa found at station 6 (downstream). Total 31 taxa with an average density 368.28 ind/m<sup>2</sup> were found in Station 4 which was highest number of taxa among the monitoring stations. <span class="longtext"><span>The </span></span><span>principal component analysis (PCA) was applied on the dataset, which explained 72.15 % of the total variance </span>of the variables<span>. Three components were extracted in this study. First component was classified as benthic macroinvertebrates which tolerated to low water quality condition and high loading of organic matters. The benthic macro-invertebrates families loaded in second component were sensitive to water environment such as NH<sub>3</sub>-N, dissolved oxygen (DO), organic matter and stream flow. The benthic macroinvertebrate families loaded in third component were recognized as species which might not tolerate low concentration of dissolved oxygen.  </span></span></p>


2020 ◽  
Vol 15 (4) ◽  
pp. 1213-1227
Author(s):  
Hussein I. Abdel-Shafy ◽  
Mona S. M. Mansour

Abstract This study presents an extensive evaluation of a full-scale sewage treatment system in a remote area with a population of 9,000 equivalents in Egypt. The present achievement can be implemented in several arid and semi-arid areas. Previously, this treatment system was heavily destroyed during the turmoil and became completely out of operation. Presently, the capacity of the treatment system increased from 345.5 to 648 m3/d. The present rehabilitation, upgrading, and optimizing consisted of rebuilding the main construction system, addition of chemical coagulation/sedimentation, Gravel Bed Hydroponic Wetland (GBHW) followed by waste maturation pond at a surface area of 784 m2. Results indicated that the overall removal of the pollution parameters namely: turbidity, total suspended solids (TSS), chemical oxygen demand (COD), Biological oxygen demand (BOD5), and oil and grease were excellent (ranged between 96.9 to 99%). Further improvement was achieved by employing the maturation pond. In addition, successful removal of the nutrients elements in the final treated effluent reached 83.4% for total kjeldahl nitrogen (TKN), 99.3% for ammonia-nitrogen, 63.4% for organic nitrogen, and 59.8% for total phosphorous (TP). The pathogen removal was excellent, namely: faecal coliform and E.coli, where the overall removal reached 100% each (more than ten and six orders of magnitude). Meanwhile, the number of cells or eggs of Nimatoda (count/L) in the raw wastewater was also 100% removed in the final treated effluent.


2021 ◽  
Author(s):  
Hayley Popick ◽  
Markus Brinkmann ◽  
Kerry McPhedran

Abstract Background Stormwater is water resulting from precipitation events and snowmelt running off the urban landscape, collecting in storm sewers, and typically being released into receiving water bodies through outfalls with minimal to no treatment. Despite a growing body of evidence observing its deleterious pollution impacts, stormwater management and treatment in cold climates remains limited, partly due to a lack of quality and loading data and modelling parameters. This study examines the quality of stormwater discharging during the summer season in a cold-climate, semi-arid Canadian city (Saskatoon, Saskatchewan). Results Seven stormwater outfalls with mixed-land-use urban catchments >100 km2 were sampled for four summer (June-August 2019) storm events and analyzed for a suite of quality parameters, including total suspended solids (TSS), chemical oxygen demand (COD), dissolved organic carbon (DOC), metals, and targeted polyaromatic hydrocarbons (PAHs). In addition, assessment of stormwater toxicity was done using the two toxicity assays Raphidocelis subcapitata (algae) and Vibrio fischeri (bacteria). Notable single-event, single-outfall contaminant pulses included of arsenic (420 µg/L), cadmium (16.4 µg/L), zinc (924 µg/L), fluorene (4.95 µg/L), benzo[a]pyrene (0.949 µg/L), pyrene (0.934 µg/L), phenanthrene (1.39 µg/L), and anthracene (1.40 µg/L). The IC50 in both R. subcapitata and V. fischeri was observed, if at all, above expected toxicity thresholds for individual contaminant species. Conclusions In general, stormwater characteristics were similar to those of previous studies, with a bulk of contamination carried by the first volume of runoff, influenced by a combination of rainfall depth, antecedent dry period, land use, and activity within the catchment. Roads, highways, and industrial areas contribute the bulk of estimated contaminant loadings. More intensive sampling strategies are necessary to contextualize stormwater data in the context of contaminant and runoff volume peaks.


2012 ◽  
Vol 600 ◽  
pp. 43-46
Author(s):  
Ru Zhang ◽  
Kai Bin Feng ◽  
Jie Yang

This paper presents a study on the use of wetland as best management practices (BMPs) for controlling nonpoint source pollution located at Shenzhen and Qian Lake watershed at Nanchang in southern China. The Shenzhen experiments tested a construct wetland at the Xikeng Reservoir watershed, while the Nanchang experiments were conducted for treating stormwater on the campus of Nanchang University. Samples were collected during storm events and were analyzed for total suspended solids (TSS), biochemical oxygen demand (BOD5), ammonia nitrogen (NH3–N), and total phosphorus (TP). The removal efficiencies of both wetland systems were evaluated using the Efficiency Ratio (ER) method based on the event mean concentration (EMC) data. The wide range of performance results show that the average pollutants removal efficiencies of Qian Lake wetland are higher that Shenzhen wetland.


2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Sarfraz Hashim ◽  
Xie Yuebo ◽  
Fiaz Ahmad ◽  
Chaudhry Arslan ◽  
Muhammad Saifullah

To protect against the environmental pollution, the present research was undertaken to enumerate the Bacterial Technologies (BTs) on the restoration of polluted urban rivers, that is, Fenghu-Song Yang River (FSR) and Xuxi River (XXR). Experimental research accounted for the physiochemical parameters (pH; temperature; dissolved oxygen (DO); chemical oxygen demand (COD); total phosphorus (TP); total nitrogen (TN); and ammonia nitrogen (NH3N)) before and after the BT operation. The results declared that the BT is efficient to restore the polluted rivers up to reliable condition. These results were analyzed by using multivariate statistical techniques (principal component analysis (PCA) and cluster analysis (CA)). These techniques interpreted the complex data sets and expressed the point source information about the water quality of these rivers at SA5, SA6, and SB3 under highly polluted regions. For better understanding, water quality index (WQI) was applied to compute the single numeric value. WQI results are evidence of the above results which prove the water quality of both rivers faced under outrageous condition (below 50 WQI scores) before the BT treatment, but, after the treatment, the rivers were restored from fair to good level (above 50 WQI scores) and overall output of these scores was quite similar to detect the point source of pollution. These results described an abrupt recovery of the urban rivers up to reliable condition for aquatic organism and clear effluents from the rivers.


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