Water Quality Monitoring, Early Warning and Identification of Risk Sources of South Lake Central Ecological Park in Tangshan City

2013 ◽  
Vol 746 ◽  
pp. 147-151 ◽  
Author(s):  
Jun Li ◽  
Jun Wang Tong ◽  
Shou Fang Jiang ◽  
Liu Nan ◽  
Shao Jia Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Nitrate Nitrogen ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
National Standards ◽  
Polluted Water ◽  
Clean Water ◽  
Sample Points

Objectives To assess the current eutrophication and heavy metal pollution condition of South Lake by monitoring the water quality of South Lake Central Ecological Park in Tangshan city and to provide basic information and science basis for the continuity environmental monitoring and further treatment. Methods The water samples in South Lake were collected during 10th-12st May, 2011. Samples of surface water in Xixingchi, Yanglongshui, and Qingtianjing were determined temperature, pH, turbidity, dissolved oxygen (DO), biochemical oxygen demand (COD), biological oxygen demand (BOD520), total phosphorus (TP), ammonia nitrogen, nitrite nitrogen, nitrate nitrogen, Hg, As, Cr, Cu, Zn, Ni, Pb, Cd and so on. Single water quality index and the integrated pollution index were calculated to assess water quality of sampling point. Results The sense character of all sample points did not accord with national standards.The BOD520 of Xixingchi, West Yanglongshui, North Yanglongshui and the four sampling points of Qingtianjing were more than national standards. The TP, ammonia nitrogen and nitrate nitrogen of Qingtianjings sample points exceeded national standards. Indicatorss of other sample were accord with national standards. Xixingchi, whichs comprehensive pollution index was 0.27, belonged to clean water. Yanglongshui, which`s comprehensive pollution index was 0.22, belonged to clean water too. Qingtianjing, whichs comprehensive pollution index was 1.99, belonged to polluted waters. Conclusions Xixingchi and Yanglongshui belongs to clean water. Qingtianjing belongs polluted water. The TP, ammonia nitrogen and nitrate nitrogen of Qingtianjings four sample points exceeded national standards. The severity of the pollution is: Qingtianjing>Yanglongshui>Xixingchi.

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Parameter ◽  
Water Quality Parameter ◽  
National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

scholarly journals Impact of seasonal variation on water quality of Hindon River: physicochemical and biological analysis

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ruchi Sharma ◽  
Ajay Kumar ◽  
Neetu Singh ◽  
Kritika Sharma
Keyword(s):  
Water Quality ◽  
River Water ◽  
Nitrate Nitrogen ◽  
Monsoon Season ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Metal Pollution Index ◽  
Post Monsoon ◽  
Post Monsoon Season

AbstractWater is the basic necessity for a living being and detritions in the quality of water led to many harmful impacts. It is important to regulate the water quality to maintain the balance in all the variation of lives. In the present study, the water samples were collected during the pre-monsoon and post-monsoon periods of February 2015–January 2017 from Mohan Nagar barrage, Ghaziabad (Uttar Pradesh, India). The assessment of the seasonal variation of water quality and its impact on the Hindon River water was evaluated by physicochemical and biological analysis. Samples were analyzed for twelve physicochemical parameters such as Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Hardness (TH), Nitrate Nitrogen, Phosphates, Sulphates, and Heavy metals (Cadmium (Cd), Lead (Pb) Iron (Fe), Zinc (Zn) and biological parameters such as Total Coliform count (TCC), Fecal Coliform count (FCC) and Standard Plate count (SPC). Besides this, River Metal Pollution Index and Integrated River Metal Pollution Index were also calculated and found above permissible limits (RMPI > 1 and IMPI > 2). The trend of heavy metal load in the Hindon River water was observed to be Fe > Zn > Pb > Cd. Lower recorded values of DO and higher levels of EC, TDS, BOD, COD, TH, Nitrate Nitrogen, and Sulphates indicate high pollution levels in Hindon River water. TCC (MPN/100 ml) in water samples was found 7.4 × 104 in pre-monsoon season and 5.8 × 104 in a post-monsoon season, FCC (MPN/100 ml) were 4.5 × 104 in pre-monsoon and 3.6 × 104 in a post-monsoon season whereas SPC (CFU/ml) were 75 × 104 in pre-monsoon and 62 × 104 in post-monsoon. Analysis of water quality parameters was performed as per Standard Methods (APHA, 1998). The Correlation coefficient matrix has been obtained to validate the interrelationship between different physicochemical parameters. The results of our study show the necessity of regular monitoring of Hindon River water for the integrity of aquatic flora, fauna, and human health.

scholarly journals Impact of Partially Treated Wastewater on Downstream Water Quality of Notwane River in Botswana

2018 ◽  
pp. 1-9
Author(s):  
Gilbert K. Gaboutloeloe ◽  
Gugu Molokwe ◽  
Benedict Kayombo
Keyword(s):  
Water Quality ◽  
Pearson Correlation ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Treated Wastewater ◽  
Nitrate N ◽  
River Stretch ◽  
Ph Range ◽  
The Impact

The impact of partially treated wastewater on the water quality of Notwane river stretch in the Gaborone region of Botswana was investigated. Water samples collected at effluent discharge point and three other sampling sites downstream were analyzed for pH, temperature, Biological Oxygen Demand (BOD5), Ammonia-nitrogen (Ammonia-N) and Nitrate-nitrogen (Nitrate-N). Sampling was conducted bi-weekly between February 2013 and April 2013. The ranges of measured parameters were:  pH (7.6-8.5), temperature (22-23ºC), BOD5 (11.2-27.0 mg/l), Ammonia-N (2.4-60.5 mg/l), Nitrate-N (20.6-28.6 mg/l). Analysis of variance, Games-Howel multiple comparisons and Pearson correlation were used to separate variable means. The results signal river non-point pollution due to runoff inflow of organics mainly from land use and domestic waste dumping by nearby dwellings. Temperature, BOD5, and pH range values were all within the Botswana Bureau of Standards (BOBS) limit while the maximum Ammonia-N and Nitrate-N were above BOBS limit by 50.5 mg/l and 6.6 mg/l, respectively. Regulations on indiscriminate waste dumping and discharge standards adherence should be enforced.

scholarly journals Water Quality Evaluation of Wenyu River Based on Single Factor Evaluation and Comprehensive Pollution Index Method

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Li Linjin ◽  
Men Baohui ◽  
Peng Rui
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Factor ◽  
Water Quality Evaluation ◽  
Index Method ◽  
Class V ◽  
Factor Evaluation

Wenyu River is the “mother river” in Beijing. In recent years, the research on the water quality of the Wenyu River has increased gradually. In this paper, the monitoring data at Shahe Reservoir, Lu Tuan Gate, Xin Bao Gate, and Ma Fang sections for each month in 2019 were adopted. The single-factor evaluation method and the comprehensive pollution index method were selected to analyze the current situation of the water quality of Wenyu River in the Chang Ping section and its temporal and spatial variation trend. The single factor evaluation method showed that the dissolved oxygen exceeded the standard seriously in all other months of the year except that the situation was better in May, June, and July. The ammonia nitrogen content reached the highest level in January, followed by a month-by-month decreasing trend. After June, each section basically met the requirements of Class v water quality. The comprehensive pollution index method shows that the water quality of Shahe reservoir varies greatly throughout the year, and it is in grade v for 6 months. The evaluation results of both methods show that the water quality of all sections of Wenyu River in 2019 was mostly in category v.

Analyzing of water quality at Ooty for drinking purpose

2021 ◽  
Vol 2 (2) ◽  
pp. 091-099
Author(s):  
Gandhimathi A ◽  
Naresh K
Keyword(s):  
Water Quality ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Summer Season ◽  
Total Hardness ◽  
Quality Of Water ◽  
Sample Water ◽  
Very High ◽  
Drinking Purpose

Analyzing of water quality at Ooty town and to provide clean and safe water. The water quality is analyzed and tabulated in this paper. So we are able to know the quality of water available in the sample taken. The water analyzed about the chemical, physical and biological characteristics of water. It is used to measure the appearance of sample water for the need of living. Water samples are collected from the open well (Latitude and longitude coordinates are 11.410000, 76.699997). The samples were tested for parameters like pH, turbidity, total hardness, fluoride, dissolved oxygen, ammonia nitrogen, chemical oxygen demand, acidity, and alkalinity. The values which are obtained from each parameter were compared with the Indian Standards: 10500 (Drinking water specifications). During the summer season the water demand is very high hence from the result the water was found to be safe for drinking.

scholarly journals Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 792
Author(s):  
Zheng Zeng ◽  
Wei-Ge Luo ◽  
Zhe Wang ◽  
Fa-Cheng Yi
Keyword(s):  
Neural Network ◽  
Water Pollution ◽  
Water Quality ◽  
Artificial Neural Network ◽  
River Basin ◽  
Back Propagation ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
National Standards ◽  
Artificial Neural

This work aimed to assess the water quality of the Tuojiang River Basin in recent years to provide a better understanding of its current pollution situation, and the potential pollution risks and causes. Water quality parameters such as dissolved oxygen (DO), ammonia–nitrogen (NH3-N), total phosphorus (TP), the permanganate index (CODMn), five-day biochemical oxygen demand (BOD5), pH, and concentrations of various heavy metals were measured in the Tuojiang River, according to the national standards of the People’s Republic of China. Samples were collected between 2012 to 2018 at 11 national monitoring sites in the Tuojiang River Basin. The overall water pollution situation was evaluated with back propagation artificial neural network (BP-ANN) analysis. The pollution causes were analyzed considering both industrial wastewater discharge in the upper reaches and the current pollution situation. We found potential risks of excessive NH3-N, TP, Cd, Hg, and Pb concentrations in the Tuojiang River Basin. Moreover, corresponding water pollution control suggestions were given.

scholarly journals Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China

2019 ◽  
Vol 11 (18) ◽  
pp. 4860 ◽  
Author(s):  
Lilian Ding ◽  
Qiyao Li ◽  
Jianjun Tang ◽  
Jiangfei Wang ◽  
Xin Chen
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Eastern China ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Water Sources ◽  
Self Organizing Map ◽  
Water Safety ◽  
Construction Land

The effects of anthropogenic land use on the water quality of reservoir-based water sources are understudied. We trained a self-organizing map (SOM) to measure the spatial pattern of nutrients over the course of a year in 61 reservoirs located in eastern China. In the linear regression model and one-way analyses of variance, we found that water quality was influenced by period of the year (flood, low, and normal periods based on rainfall conditions) and reservoir altitude (plains vs. mountains). Our results indicated that land use metrics measured in aquatic–terrestrial interfaces significantly influenced the water quality of reservoirs. The land use intensity (LUI) and the proportion of construction land had a positive correlation with ammonia nitrogen (NH3-N) and chemical oxygen demand (CODMn) concentrations, and redundancy analysis indicated that the percent of landscape (PLAND) represented by construction land was positively correlated with CODMn, NH3-N, total phosphorus (TP), and total nitrogen (TN) concentrations. The proportion of cropland was not correlated with any water quality property except for CODMn concentration. The total explained variance for water quality was highest when the scale was large (the area defined by a 1500 m radius around the reservoir), indicating that management which ensures water safety should be carried out at this scale.

scholarly journals Using a three-tier model to optimize the allocation of river water resources to meet eco-environmental water requirement targets

2017 ◽  
Vol 18 (4) ◽  
pp. 1222-1233
Author(s):  
Ze-ning Wu ◽  
Qian-qian Cao ◽  
Cui-mei Lv ◽  
Hui-liang Wang ◽  
Zi-hao Jiang
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
River Water ◽  
Oxygen Demand ◽  
Environmental Water ◽  
Ammonia Nitrogen ◽  
Clean Water ◽  
Water Requirements ◽  
Current State ◽  
Water Quality And Quantity

Abstract It is difficult to simultaneously manage the dynamic demands for river water quality and quantity, and reconcile the contradiction between socio-economic and eco-environmental water consumption. As a solution, we proposed a three-tier model to optimize the distribution of river water resources. Using three constraint conditions, namely the ratio of wastewater to clean water, the eco-environmental water requirements of each node and the use of wetland projects, we determined various water quantity and quality allocation scenarios. We tested the model on the Qingyi River, and found that, for the recommended scenario that involved enhanced water-saving, a wastewater/clean water ratio and wetlands, more than 80% of the eco-environmental water requirements of each node except for the Luma section were achieved for each month. While the water quality in some individual river sections did not meet the standards for a few months of the year, the water quality of the remaining sections could be improved from class V, the current state, to class IV, and ammonia nitrogen and chemical oxygen demand (COD) standards could be achieved 82% and 96% of the time, respectively. These results show that the proposed model is effective and fit for purpose.

scholarly journals A Qualidade da Água da Bacia do Rio Capivara, Manancial de Abastecimento do Município de São João -PR (Water Quality in the Basin of River Capivara, Source of Supply of the Municipality of São João-PR)

2015 ◽  
Vol 8 (1) ◽  
pp. 081
Author(s):  
Julio Caetano Tomazoni ◽  
Marilucia Cyrino Rodrigues ◽  
Elisete Guimarães
Keyword(s):  
Water Quality ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Animal Waste ◽  
Raw Water ◽  
Water Abstraction ◽  
Normal Limits ◽  
Southwest Region ◽  
Nitrite Nitrate

Este estudo foi desenvolvido na bacia do Rio Capivara com área de 9.432,6300 ha e Perímetro de 50,78km, localizada geograficamente nos Municípios de São João, Chopinzinho e Saudades do Iguaçu, região Sudoeste do Estado do Paraná. Na pesquisa, foram utilizados conforme a Resolução 357/05 do CONAMA, os valores e padrões de qualidade para captação de água bruta em manancial classe 3, que é a condição do Rio Capivara. Foram considerados os seguintes parâmetros: Potencial Hidrogênio (pH), Fósforo, Nitrogênio Amoniacal, Demanda Bioquímica de Oxigênio(DBO), Nitrito, Nitrato,Coliformes Termotolerantes e análises cromatográficas para agrotóxicos. Em relação à qualidade da água da bacia, os dados utilizados neste trabalho comprovaram a incidência de resíduos de agroquímicos e dejetos de animais, porém não houve ocorrência que motivasse ação especifica, exceto quando ocorreu com o inseticida carbaril. Os resultados mostraram valores próximos ao permitido pela Resolução do Conama 357/05 e nessas condições a captação de água bruta está operando dentro da normalidade.   ABSTRACT The study was developed in the Capivara River basin with an area of 9432.63 ha and perimeter of 50.78 km, located in the municipalities of São João, Chopinzinho and Saudades do Iguaçu, Paraná State Southwest region. According to the Resolution No357/05 of CONAMA, were used values and quality standards for raw water abstraction in Class 3 source, which is the condition of Rio Capivara. The following parameters were considered: potential hydrogen (pH), phosphorus, ammonia nitrogen, biochemical oxygen demand (BOD), nitrite, Nitrate, thermos-tolerant coliforms and chromatographic to pesticide compounds. Regarding the quality of the water of the basin, the data used in this study proved the incidence of residues of pesticides and animal waste, but there were no events that motivate specific action, except when was used thecarbaryl insecticide. The results showed values close to the permitted by Resolution CONAMA No357/05 and, under these conditions, the raw water intake works within normal limits. Keywords: Water quality, Source of water supply, Watershed.   

scholarly journals The possibility of using Lake Rawa Pening as a source of drinking water

2019 ◽  
Vol 41 (1) ◽  
pp. 111-119
Author(s):  
Agatha Piranti ◽  
Gentur Waluyo ◽  
Diana R.U.S. Rahayu
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Government Regulation ◽  
Oxygen Demand ◽  
First Grade ◽  
Quality Standard ◽  
Quality Parameters ◽  
Polluted Water ◽  
Survey Method

Abstract The water of Lake Rawa Pening is used as a source of drinking water. Indonesian Government Regulation Number 82 of 2001 on Management of Water Quality and Water Pollution Control stated that the water quality of Lake Rawa Pening should meet the quality standard of first grade and be categorized as no polluted water. The purpose of this research was to assess the water quality based on Indonesian regulation and to assess water quality based on international regulations. The quality of water was assessed using a survey method in 7 sites of the Lake Rawa Pening 3 times for 3 months. Parameters measured were all the water quality parameters required in accordance with Government Regulation No. 82 of 2001. The results indicated that there were 13 values that exceeded the water quality standard of first grade. These exceeded parameters were total suspended solids (TSS), biological oxygen demand (BOD), chemical oxygen demand (COD), orthophosphate (PO4), NO3, As, Se, Cd, Mn, Cu, Pb, H2S, faecal coliform, and total coliform. Water quality status of Lake Rawa Pening was categorized as heavily polluted. The water quality of Lake Rawa Pening should be improved by reducing the pollutants entering the lake by restriction of human activities causing lake pollution.

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