Dynamics of Water Quality in the Middle and Lower Reaches of the Weihe River

2014 ◽  
Vol 955-959 ◽  
pp. 3245-3258
Author(s):  
Juan Deng ◽  
Dong Feng Hu ◽  
Zhou Ping Shangguan

The Weihe River is an upstream tributary of the Yellow River that is heavily influenced by excessive pollutant discharge. In this study, the water quality of the Weihe River was studied based on five water quality indices: CODMn (chemical oxygen demand), BOD5 (biochemical oxygen demand), NH3-N (ammonia nitrogen), DO (dissolved oxygen), and PPI (potassium permanganate index), using monitoring data collected from 13 river sections in the middle and lower reaches of the river from 2001 to 2010. Our results showed that the water quality tended to deteriorate from the upper to the lower reaches of the river. Additionally, CODMn, NH3-N and PPI were found to be the major factors resulting in water pollution over time in all river sections, but the pollutant concentrations with the interannual variability differed in every section. Therefore, many efficient and reasonable measures should be carried out to control water pollution and improve water quality in the Weihe River.

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  

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.


Author(s):  
Gilbert K. Gaboutloeloe ◽  
Gugu Molokwe ◽  
Benedict Kayombo

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.


2012 ◽  
Vol 65 (11) ◽  
pp. 2071-2078 ◽  
Author(s):  
Haiyang Chen ◽  
Yanguo Teng ◽  
Jinsheng Wang

A framework for characteristics identification and source apportionment of water pollution in the Jinjiang River of China was proposed in this study for evaluation. A total of 114 water samples which were generated between May 2009 and September 2010 at 13 sites were collected and analysed. First, support vector machine (SVM) and water quality pollutant index (WQPI) were used for water quality comprehensive evaluation and identifying characteristic contaminants. Later, factor analysis with nonnegative constraints (FA-NNC) was employed for source apportionment. Finally, multi-linear regression of the absolute principal component score (APCS/MLR) was applied to further estimate source contributions for each characteristic contaminant. The results indicated that the water quality of the Jinjiang River was mainly at the third level (65.79%) based on national surface water quality permissible standards in China. Ammonia nitrogen, total phosphorus, mercury, iron and manganese were identified as characteristic contaminants. Source apportionment results showed that industrial activities (63.16%), agricultural non-point source (16.50%) and domestic sewage (12.85%) were the main anthropogenic pollution sources which were influencing the water quality of Jinjiang River. This proposed method provided a helpful framework for conducting water pollution management in aquatic environment.


2013 ◽  
Vol 746 ◽  
pp. 147-151 ◽  
Author(s):  
Jun Li ◽  
Jun Wang Tong ◽  
Shou Fang Jiang ◽  
Liu Nan ◽  
Shao Jia Wang ◽  
...  

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.


Author(s):  
Gandhimathi A ◽  
Naresh K

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.


2021 ◽  
Vol 13 (2) ◽  
pp. 792
Author(s):  
Zheng Zeng ◽  
Wei-Ge Luo ◽  
Zhe Wang ◽  
Fa-Cheng Yi

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.


2019 ◽  
Vol 11 (18) ◽  
pp. 4860 ◽  
Author(s):  
Lilian Ding ◽  
Qiyao Li ◽  
Jianjun Tang ◽  
Jiangfei Wang ◽  
Xin Chen

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.


2015 ◽  
Vol 8 (1) ◽  
pp. 081
Author(s):  
Julio Caetano Tomazoni ◽  
Marilucia Cyrino Rodrigues ◽  
Elisete Guimarães

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.   


2019 ◽  
Vol 15 (1) ◽  
pp. 84-88
Author(s):  
Qiong Sun ◽  
Xiaofang Wang ◽  
Li Wang

Abstract In recent years, the rapid development of coastal areas has polluted the watershed water, affecting the ecological environment of wetland scenic spots. This paper briefly introduced the constructed wetland, a means of watershed water pollution control, and briefly explained its mechanism of water pollution control. Then, an example of Yancheng Coastal Wetland Natural Reserve in Jiangsu Province was analyzed to analyze water quality ecological changes in the basin before and after the construction of constructed wetland. The results showed that the basin of the natural reserve changed from acidic to alkaline, and ammonia nitrogen, total nitrogen, total phosphorus and chemical oxygen demand decreased significantly and maintained at a relatively low level after the constructed wetland controlled the water pollution in the basin; subsurface constructed wetland had a better effect on reducing ammonia nitrogen, total nitrogen and total phosphorus; surface constructed wetland had a better effect on reducing chemical oxygen demand. In conclusion, constructed wetlands as a means of water pollution control in the watershed can effectively improve the water quality ecology of coastal wetland natural reserves.


2012 ◽  
Vol 600 ◽  
pp. 71-74
Author(s):  
Ya Juan Zhang ◽  
Jing Qiu ◽  
Shan Shan Niu ◽  
Yin Fang Zhou

Economic development of guanzhong area has produced a series of impact on Weihe River’s water quality, that deteriorated seriously. Environmental pollution indicators conclude ammonia nitrogen, permanganate index, COD. Weihe River water quality was improved significantly through the adjustment of industrial structure, increased investment in environmental protection and policy made to protect the Waihe River. Environmental materials is very beneficial to environment.In recent years, the new environmental material technology what can be promoted in Guanzhong region, which is carrying out the zero-emission technology in heavily-polluted paper industry, it can solve the pollution problems from the source, and it play a significant role in improving the water quality of Weihe River.


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