Estimation of Chemical Oxygen Demand by Ultraviolet Spectroscopic Profiling and Physical Parameters Using IPW-PLS Algorithm

2013 ◽  
Vol 316-317 ◽  
pp. 606-609 ◽  
Author(s):  
Jia Chen Li ◽  
Ping Jie Huang ◽  
Di Bo Hou ◽  
Guang Xin Zhang
Keyword(s):  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Organic Pollutant ◽  
Oxygen Demand ◽  
Organic Pollution ◽  
Quality Analysis ◽  
Ultraviolet Absorption Spectrum ◽  
Physical Parameters ◽  
Wave Band ◽  
Full Spectrum

In recent years, water pollution is increasing, especially organic pollution. The chemical oxygen demand (COD) is one of the most important evaluation index. Compared with the traditional chemical analysis method of COD, the method of spectrum analysis of organic pollutant concentration in water quality detection is fast, no chemical reagent and simple operation etc, and it is a kind of green testing technology. The current spectrum method of water quality analysis is usually based on single wavelength or the feature band extracted. It is lack of methods with the full spectrum scan. Based on water quality research,we choose the spectral analysis of COD as the objective. Combining the ultraviolet absorption spectrum with the conventional five physical parameters as the absorbance in the last wave band, we use the iterative predictor partial least squares algorithm to realize the rapid detection of water quality COD.

scholarly journals The Estimation of Chemical Oxygen Demand of Erhai Lake Basin and Its Links with DOM Fluorescent Components Using Machine Learning

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3629
Author(s):  
Yuquan Zhao ◽  
Jian Shen ◽  
Jimeng Feng ◽  
Zhitong Sun ◽  
Tianyang Sun ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Real Time ◽  
Oxygen Demand ◽  
Organic Pollution ◽  
Lake Basin ◽  
Erhai Lake ◽  
Real Time Monitoring ◽  
The Relationship

Water quality estimation tools based on real-time monitoring are essential for the effective management of organic pollution in watersheds. This study aims to monitor changes in the levels of chemical oxygen demand (COD, CODMn) and dissolved organic matter (DOM) in Erhai Lake Basin, exploring their relationships and the ability of DOM to estimate COD and CODMn. Excitation emission matrix–parallel factor analysis (EEM–PARAFAC) of DOM identified protein-like component (C1) and humic-like components (C2, C3, C4). Combined with random forest (RF), maximum fluorescence intensity (Fmax) values of components were selected as estimation parameters to establish models. Results proved that the COD of rivers was more sensitive to the reduction in C1 and C2, while CODMn was more sensitive to C4. The DOM of Erhai Lake thrived by internal sources, and the relationship between COD, CODMn, and DOM of Erhai Lake was more complicated than rivers (inflow rivers of Erhai Lake). Models for rivers achieved good estimations, and by adding dissolved oxygen and water temperature, the estimation ability of COD models for Erhai Lake was significantly improved. This study demonstrates that DOM-based machine learning can be used as an alternative tool for real-time monitoring of organic pollution and deepening the understanding of the relationship between COD, CODMn, and DOM, and provide a scientific basis for water quality management.

Spatio-temporal Variations in Water Quality Parameter Trends in River Waters

2018 ◽  
Vol 69 (10) ◽  
pp. 2940-2952 ◽  
Author(s):  
Martina Zelenakova ◽  
Pavol Purcz ◽  
Radu Daniel Pintilii ◽  
Peter Blistan ◽  
Petr Hlustik ◽  
...  
Keyword(s):  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Quality Indicators ◽  
Water Resource Management ◽  
Oxygen Demand ◽  
Temporal Variations ◽  
Water Quality Parameter ◽  
Agricultural Activity ◽  
Water Quality Indicators ◽  
Nitrite Nitrogen

Evaluating trends in water quality indicators is a crucial issue in integrated water resource management in any country. In this study eight chemical and physical water quality indicators were analysed in seven river profiles in the River Laborec in eastern Slovakia. The analysed water quality parameters were biochemical oxygen demand (BOD5), chemical oxygen demand (CODCr), pH, temperature (t), ammonium nitrogen (NH4+-N), nitrite nitrogen (NO2--N), nitrate nitrogen (NO3--N), and total phosphorus (TP). Data from the monitored indicators were provided by the Ko�ice branch of the Slovakian Water Management Company, over a period of 15 years from 1999 to 2013. Mann�Kendall non-parametric statistical test was used for the trend analysis. Biochemical and chemical oxygen demand, ammonium and nitrite nitrogen content exhibit decreasing trends in the River Laborec. Decreasing agricultural activity in the area has had a significant impact on the trends in these parameters. However, NO2--N was the significant parameter of water quality because it mostly exceeds the limit value set in Slovak legislation, Regulation No. 269/2010 Coll. In addition, water temperature revealed an increasing trend which could be caused by global increase in air temperature. These results indicate that human activity significantly impacts the water quality.

scholarly journals Status and Threats to Mugger Crocodile Crocodylus palustris Lesson, 1831 at Rani Tal, Shuklaphanta Wildlife Reserve, Nepal

2013 ◽  
Vol 13 (1) ◽  
pp. 125-131 ◽  
Author(s):  
Harish P Bhatt ◽  
Tej Bahadur Saund ◽  
Jham Bahadur Thapa
Keyword(s):  
Water Quality ◽  
Flash Flood ◽  
Oxygen Demand ◽  
Seasonal Fluctuation ◽  
Habitat Destruction ◽  
Quality Analysis ◽  
Anthropogenic Factors ◽  
Total Hardness ◽  
Chemical Contamination ◽  
Wildlife Reserve

A study was carried out for preparing baseline information on water quality, population status and threats to Mugger crocodile, Crocodylus palustris Lesson at Rani Tal, Shuklaphanta Wildlife Reserve. Water quality analysis was conducted for three seasons (summer, autumn and winter) in the year 2008 - 2009. The study has found the physico-chemical contamination in the lake. The water quality parameters (dissolved oxygen, total hardness, free carbon dioxide, biological oxygen demand and ammonia) exceeded the normal range to support the Muggers. A survey around the lake recorded four adult Mugger crocodiles (>180 cm body length) basking in sandy and muddy bank during the investigation period. The lake is under pressure from diverse anthropogenic factors. The principal threats to the Mugger crocodile include water pollution, habitat destruction, sedimentation, food shortage, egg collection and seasonal fluctuation of water level. The total area and depth of the lake is diminishing due to encroachment by Phragmites karka and flash flood during monsoon. Conservation and proper management of the lake are urgently required. Nepal Journal of Science and Technology Vol. 13, No. 1 (2012) 125-131 DOI: http://dx.doi.org/10.3126/njst.v13i1.7451

scholarly journals Impacts of Leachate Percolation on Ground Water Quality: A Case Study of Dhanbad City

2015 ◽  
Vol 17 (1) ◽  
pp. 162-174 ◽  
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Oxygen Demand ◽  
Quality Analysis ◽  
Solid Waste Disposal ◽  
Ground Water Quality ◽  
Potential Health ◽  
Groundwater Samples ◽  
High Concentrations ◽  
The Impact

<div> <p>This paper presents an assessment of the impact of uncontrolled and unscientific disposal of MSW on ground water in Dhanbad city, India. In this study, ground water quality around municipal solid waste disposal sites was investigated. Ground water quality analysis was carried out on samples collected at various distances from two disposal sites. The study has revealed that the ground water quality near dumping sites does not conform to the drinking water quality standards as per IS:10500. The impacts of indiscriminate dumping activity on ground water appeared most clearly as high concentrations of total dissolved solids, electrical conductivity, chlorides, chemical oxygen demand, and sulphates. High amount of metals like Na, K, Ca, Mg, Cd, Cu, Ni, Fe, Zn and Mn has also been detected in the groundwater samples near dumping area. Leachate characterization study also reveals high potential for groundwater contamination. Presence of feacal coliform contamination in groundwater samples indicates potential health risk for individuals exposed to this water.&nbsp;</p> </div> <p>&nbsp;</p>

scholarly journals The Impact of Floating Net Cage (FNC) on Primary Productivity in Cirata Reservoir Waters

2021 ◽  
pp. 35-42
Author(s):  
Sayyid Arrasyid ◽  
Zahidah Hasan ◽  
Izza Mahdiana Apriliani ◽  
Heti Herawati
Keyword(s):  
Water Quality ◽  
Primary Productivity ◽  
Local Community ◽  
Oxygen Demand ◽  
Quality Standard ◽  
Water Volume ◽  
Physical Parameters ◽  
Reservoir Water ◽  
Net Cages ◽  
The Impact

Cirata Reservoir is one of the three cascade reservoirs fed by the Citarum Watershed with an area of ​​62 km2 (6.200 ha) and has a water volume of 1.900 million m3. The great potential of the waters in the Cirata Reservoir is utilized by the local community as a source of livelihood, namely by conducting aquaculture activities using floating net cages (FNC) in excess. FNC is thought to be a source of waste that reduces reservoir water quality. This research aims to determine the impact of FNC cultivation on primary productivity with different FNC densities at each station. The research was conducted in Cianjur Regency by taking on three stations, namely in the areas of Jangari, Maleber, and Patok Beusi on November 6 - December 8, 2019. The method used in the research was purposive sampling then analyzed in detail and quantitatively. The results show that reservoir waters have an average of physical parameters, namely temperature 32.2-32.6oC, transparency 0.59-0.68 meters, pH 7.1-7.3, carbon dioxide 15.4-16.1 mg / l, Dissolved Oxygen 6.9-7.3 mg / l, Biochemical Oxygen Demand 6.1-7.8 mg / l, nitrate 0.208-0.222 mg / l, ammonia 0.002833-0.003056 mg / l, phosphate 0,165-0,167 mg / l and primary productivity 240,36-277,90 mgC/m3/hour. This shows that the water indicator is still classified as good because it does not exceed the water quality standard.

scholarly journals Assessment of the Water Quality Characteristics of Kaduna River Receiving Wastewater Discharges

2019 ◽  
Vol 3 (1) ◽  
pp. 56-61
Author(s):  
H. Garba ◽  
C. A. Elanu
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Chemical Oxygen Demand ◽  
Biochemical Oxygen Demand ◽  
Oxygen Demand ◽  
Domestic Wastewater ◽  
Quality Characteristics ◽  
Chemical Characteristics ◽  
Mean Concentration ◽  
Concentration Levels

An assessment of the chemical characteristics of industrial and domestic wastewater discharges on seven parameters into Kaduna River on a bimonthly basis was carried out. PH, dissolved oxygen (DO), chloride, nitrite, chemical oxygen demand (COD), biochemical oxygen demand (BOD) and iron were analyzed to determine their concentration levels. From the analysis, the highest mean concentration of the parameters were 8.24 of pH, 7.7 mg/l of DO, 233.4 mg/l of chloride, 55.68 mg/l of COD, 27.95 mg/l of nitrite, 122.22 mg/l of BOD, and 17.05 mg/l of iron. After comparing with prescribed standards, it can be concluded that there is evidence of organic and inorganic accumulation of contaminants into River Kaduna.

scholarly journals Evaluation of Shatt Al-Arab River Using Organic Pollution Index

2019 ◽  
Vol 32 ◽  
pp. 153-162
Author(s):  
Nada M. Al-Baghdadi ◽  
Abdulaziz M. Abdullah ◽  
Entisar N. Sultan
Keyword(s):  
Chemical Oxygen Demand ◽  
Water Samples ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Environmental Parameters ◽  
Organic Pollution ◽  
Biological Oxygen Demand ◽  
Annual Rate ◽  
Ammonium Ion ◽  
The Third

The current study has evaluated Shatt Al-Arab water using organic pollution index. The study included three stations, the first Al-Sharash, the second Al-Salhiya and the third area Al-Dweab. Water samples were monthly collected from December 2017 to November 2018. Five environmental parameters were used to calculate the organic pollution index (OPI) including Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Active nitrate (NO3), Ammonium ion (NH4) and Total Phosphate (TP). The highest biological oxygen demand was 9 mg.l-1 at Al-Sharash station in July and the lowest values 1mg.l-1 in the Al- Dweab station during December, January, February and April. The highest chemical oxygen demand (250 mg.l-1 was recorded at Al-Sharash station in September and the lowest value was 6.2 mg.l-1 in Al-Dweab station during December. Nitrates was recorded the highest value 41.51 mg nitrogen-nitrate.l-1 at Al-Salhiya station in May and lowest value 1.49 mg nitrogen- nitrate.l-1 at Al-Sharash station during December. The ammonium ion was recorded in highest value 7.7 mg.l-1 at Al- Salhiya station in December and the lowest value 0.5 mg. l-1 at Al-Sharash station during June, while phosphate value was 0.23 and 1.99 mg.l-1 were recorded at Al-Sharash station in August and July respectively. The highest value of organic pollution index was 2.56 at Al-Salihiya station in August and lowest value 0.69 in the Al-Dweab station in April, while the annual rate of organic pollution index for the first, second and third stations were 1.55, 1.81 and 1.47 respectively, and 1.61 for Shatt Al-Arab water.

Application of Molecular Topology to the Prediction of Water Quality Indices of Alkylphenol Pollutants

2013 ◽  
pp. 1-10
Author(s):  
Jorge Gálvez ◽  
Miriam Parreño ◽  
Jordi Pla ◽  
Jaime Sanchez ◽  
María Gálvez-Llompart ◽  
...  
Keyword(s):  
Water Quality ◽  
Regression Analysis ◽  
Mathematical Models ◽  
Chemical Oxygen Demand ◽  
Cross Validation ◽  
Oxygen Demand ◽  
Molecular Topology ◽  
Quality Indices ◽  
Randomization Tests ◽  
Internal Validation

In this paper, topological-mathematical models based on multilineal regression analysis have been built as a model of the degradability of 26 alkylphenols through the Chemical Oxygen Demand (COD) and Biochemical Oxigen Demand (BOD5). Two models with three-variable were selected (r2= 0.8793 and q2=0.8075 for log(1/COD) and r2= 0.8928 and q2=0.8327 for log(1/BOD5). The models were validated by cross-validation, internal validation and randomization tests. The results, which stand in good accordance with the obtained results, confirm the robustness of the method.

scholarly journals Role of humic substances as refractory organic matter in sustainable water quality assessment and management

2019 ◽  
Vol 20 (2) ◽  
pp. 538-549
Author(s):  
Maoqing Duan ◽  
Xia Du ◽  
Wenqi Peng ◽  
Cuiling Jiang ◽  
Shijie Zhang
Keyword(s):  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Humic Substances ◽  
River Water ◽  
Anthropogenic Activities ◽  
Water Quality Management ◽  
National Development ◽  
Oxygen Demand ◽  
Study Results ◽  
The Impact

Abstract In northern China, river water originating from or flowing through forests often contains large amounts of oxygen-consuming organic substances, mainly humic substances. These substances are stable and not easily biodegradable, resulting in very high detection values of chemical oxygen demand. However, under natural conditions, the dissolved oxygen demand is not as high. Using experimental values to evaluate river water quality and the impact of human activities on water quality is thus unscientific and does not meet national development goals. In this study, the potential sources of high-concentration chemical oxygen demand in river water in two areas exposed to virtually no anthropogenic activities and strongly affected by humic substances, were analysed. The chemical oxygen demand contributed by humic substances (COD-HSs) was quantified using three methods. The results of water quality monitoring in 2017 and 2018 revealed that the chemical oxygen demand concentrations (5–44 mg/L) predominantly exceeded the standard (15 mg/L). The study results suggest that COD-HSs should be considered separately for objective evaluation and management of water quality, particularly in areas that are seriously affected by COD-HSs, to provide a scientific basis for formulating sustainable water quality management policies.

scholarly journals Community-based wastewater treatment systems and water quality of an Indonesian village

2013 ◽  
Vol 12 (1) ◽  
pp. 196-209 ◽  
Author(s):  
H. S. Lim ◽  
L. Y. Lee ◽  
S. E. Bramono
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Total Nitrogen ◽  
Oxygen Demand ◽  
Small Scale ◽  
Irrigation Canals ◽  
Community Based ◽  
E Coli ◽  
The Impact

This paper examines the impact of community-based water treatment systems on water quality in a peri-urban village in Yogyakarta, Indonesia. Water samples were taken from the wastewater treatment plants (WWTPs), irrigation canals, paddy fields and wells during the dry and wet seasons. The samples were tested for biological and chemical oxygen demand, nutrients (ammonia, nitrate, total nitrogen and total phosphorus) and Escherichia coli. Water quality in this village is affected by the presence of active septic tanks, WWTP effluent discharge, small-scale tempe industries and external sources. We found that the WWTPs remove oxygen-demanding wastes effectively but discharged nutrients, such as nitrate and ammonia, into irrigation canals. Irrigation canals had high levels of E. coli as well as oxygen-demanding wastes. Well samples had high E. coli, nitrate and total nitrogen levels. Rainfall tended to increase concentrations of biological and chemical oxygen demand and some nutrients. All our samples fell within the drinking water standards for nitrate but failed the international and Indonesian standards for E. coli. Water quality in this village can be improved by improving the WWTP treatment of nutrients, encouraging more villagers to be connected to WWTPs and controlling hotspot contamination areas in the village.

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