scholarly journals Improved Principal Component-Fuzzy Comprehensive Assessment Coupling Model for Urban River Water Quality: A Case Study in Chongqing, China

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1375
Author(s):  
Siyuan Zhao ◽  
Jing Chen ◽  
Qiu Jin ◽  
Huazu Liu ◽  
Wei Yang ◽  
...  

An improved principal component-fuzzy comprehensive assessment coupling model for urban river water quality is proposed, which fully considers the influence of water quality and quantity. This model can not only choose the key indexes, but also specify the spatial variation and class of water quality. This proposed model was used to assess the water quality of the Qingshui and Fenghuang streams in Chongqing, China. Data of twelve indexes used in the assessment were collected from 17 monitoring points. The assessment results show that the key indexes include TN, TP, NH3-N, CODcr, pH, DO and velocity. Water quality of 14 monitoring points is classified as class Bad V, and that of the remaining points is class V. Mainly affected by the deposition of garbage and discharge of domestic sewage, water quality of the midstream is the worst. The upstream is mainly influenced by farmland non-point source pollution and rural domestic sewage pollution. The downstream is close to the scenic area, and environmental control measures such as river dredging and artificial aeration are regularly carried out. The water quality of it is the best. The results provide valuable information that allow local environmental departments to discover the source of pollutant and formulate water resource management strategies.

1996 ◽  
Vol 34 (12) ◽  
pp. 33-40 ◽  
Author(s):  
Y. Hosoi ◽  
Y. Kido ◽  
H. Nagira ◽  
H. Yoshida ◽  
Y. Bouda

The inflow of pollutant load from urban areas and the stagnation of water due to sea water intrusion cause the deterioration of river water quality in tidal zone. In order to improve water quality, various measures such as the reduction of pollutant load by sewage systems, discharge control from sewage treatment plants considering river flow, nutrient removal by aquatic plants, and the dredging of bottom sediments have been examined. The choice of these measures depends on the situation of the river environment and finances. In this study, a field survey was carried out in a typical urban river basin, first. Secondly, on the basis of this survey, a mathematical model was formed to simulate flow and water quality. Several purification alternatives designed for the investigated river basin were comparatively evaluated from the viewpoint of the effect of water quality improvement and their cost. Finally, they were prioritized. Through this case study, a planning process of river water quality management was shown.


2020 ◽  
Vol 42 (10) ◽  
pp. 452-462
Author(s):  
Jinhyo Lee ◽  
Hyunju Ha ◽  
Manho Lee ◽  
Mokyoung Lee ◽  
Taeho Kim ◽  
...  

Objectives : 17 water quality measurement networks (WQMNs, tributaries) in Seoul were analyzed by using NSFWQI and cluster analysis to provide basic data for future river water quality management so that citizens could easily and comprehensively understand the water quality information on the rivers in Seoul.Methods : For the past 3 years (2015~2017), in order to estimate WQI, 9 items, DO (% sat), Fecal coliform, pH, BOD, Temperature change (TC), TP, NO3-, Turbidity and Total solids, were selected from among the 19 water quality data measurement items produced monthly from 17 WQMNs in Seoul. WQI was derived and graded using NSFWQI and cluster analysis was performed using Ward Linkage Method, SOM (Self Organizing Map).Results and Discussion : Water quality of most water quality monitoring networks was BOD Ⅱ grade (slightly good) or higher and TP Ⅲ grade (normal) or higher according to the standard of water quality and water ecosystem river living environment, and NSFWQI was also 64 (Medium)~89 (Good). All showed good water quality. NSFWQI does not show a significant difference by season, so it is believed that it is affected by anthropogenic sources rather than seasonal effects. As a result of examining the correlation between NSFWQI and water quality level according to environmental standards, it was confirmed that R2 has a relatively good correlation with 0.78, and there is no clear difference between the two groups, and through this, it was found that the currently implemented water quality rating system and NSFWQI are well matched. As a result of cluster analysis using ward linkage method and SOM for 17 WQMNs, it was largely divided into 6 groups according to water quality characteristics.Conclusions : It is important to manage pollution sources to systematically manage river water quality as a water resource. It is therefore expected that by converting from the complicated and various water quality information such as is found in this study into a simple water quality index and grouping, the river water quality can be easily understood and can be utilized in the future as basic data for water quality management in Seoul.


2021 ◽  
Author(s):  
Gurusamy Kutralam-Muniasamy ◽  
Fermín Pérez-Guevara ◽  
Ignacio Elizalde Martinez ◽  
Shruti Venkata Chari

Abstract The Santiago River is one of Mexico's most polluted waterways and evaluating its surface water quality during the COVID-19 outbreak is critical to assessing the changes and improvements, if any, from the nationwide lockdown (April-May 2020). Hence, the data for 12 water quality parameters from 13 sampling stations during April-May 2020 (lockdown) were compared with the levels for the same period of 2019 (pre-lockdown) and with the same interval of previous eleven-years (2009-2019). The values of BOD (14%), COD (29%), TSS (7%), f. coli (31%), t. coli (14%) and Pb (20%) declined, while pH, EC, turbidity, total nitrogen and As enhanced by 0.3-21% during the lockdown compared to the pre-lockdown period suggesting decrements of organic load in the river due to the temporary closure of industrial and commercial activities. An eleven-year comparison estimated the reduction of pH, TSS, COD, total nitrogen and Pb by 1-38%. The analysis of water quality index estimates showed short-term improvements of river water quality in the lockdown period, compared to pre-lockdown and eleven-year trend as well as indicated very poor quality of the river. The contamination sources identified by factor analysis were mainly related to untreated domestic sewage, industrial wastewaters and agriculture effluents influencing the river water quality. Overall, our findings demonstrated positive responses of COVID-19 imposed lockdown on water quality of the Santiago River during the study period, providing a foundation for the government policy makers to identify the sources of pollution, to better design environmental policies and plans for water quality improvements.


2021 ◽  
pp. 1117-1129
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar

2021 ◽  
pp. 947-961
Author(s):  
P. R. Shaikh ◽  
Girish Deore ◽  
A. D. Pathare ◽  
D. V. Pathare ◽  
R. S. Pawar

2013 ◽  
Vol 13 (6) ◽  
pp. 474-482 ◽  
Author(s):  
Akmal Mahazar ◽  
Mohammad Shuhaimi-O ◽  
Ahmad Abas Kutty ◽  
Mohamed Nor Mohamed De

2021 ◽  
Author(s):  
Md. Mahadi Hashan ◽  
S.M. Moniruzzaman

Abstract River water quality is one of the foremost concerns now a days as it plays a significant role in human and aquatic life. Mayur River, located on the northwestern side of the Khulna city, is important from numerous points of view like freshwater reservoir, navigation, water source for irrigation, ground for fishing and the main wastewater route of Khulna city. However along with human interruption, the unplanned and untreated crude dumping of domestic, industrial and household waste into it, the natural flow of the river is totally retarded and the river water quality has been degraded on a large scale due to water pollution. This pollution has colossal negative impact on day to day life of the inhabitants living alongside of this river as they use this water for domestic and sometimes drinking purposes. That is where the significance of assessing the water quality of Mayur River has come from. The core objectives of this study is to assess the water quality of Mayur River and to develop a model using statistical analysis between water quality parameters (WQP) and water quality index (WQI) to interpret relationship among them. Water quality was assessed on the basis of WQI calculation using National Sanitary Foundation water quality index method. The temporal WQI value showed that the water quality in Mayur River got worse in dry season than that of wet season due to dilution. Much higher values were obtained in case of biochemical oxygen demand (BOD), turbidity, total solids (TS), chloride, phosphate, nitrate and fecal coliform (FC). Pearson correlation coefficient shows negative relationship among temporal average WQI with other parameters except pH. Regression analysis indicates that 99.7% proportion of variance of dependent variable (temporal average WQI) can be predicted from the independent variables (Dissolved Oxygen (% saturation), BOD, turbidity, TS, pH, temperature change, phosphate, nitrate and FC). Total nine prediction equations were formed using regression coefficients that may be helpful to predict the WQI on the basis of WQP in future.


2020 ◽  
Vol 32 (1) ◽  
pp. 60-72
Author(s):  
SAMINA AHATUN ◽  
MD. SIRAJUL ISLAM ◽  
MD. HUMAYUN KABIR ◽  
MAUSUMI REHNUMA ◽  
MD. ENAMUL HOQ

The study was conducted to explore the physicochemical parameters of water, fish diversity andfisheries resources of Korotoa River at Bogura city of Bangladesh during July 2015 to February 2016. Thewater samples were collected from five sampling stations in the Korotoa River during wet and dry seasons.The results of the study showed that temperature, EC, TDS, DO, BOD, alkalinity, acidity and total hardnessof the Karotoa River water were 25.86ºC, 297.41 ?S/cm, 98.86 mg/L, 2.17 mg/L, 2.64 mg/L, 122.05mg/L, 3.28 mg/L and 75.59 mg/L, respectively. The DO and BOD contents of the river water were foundunsuitable for fisheries when compared with the standard of DoE. A total of ten fish species under six ordersand seven families were identified during the study period. The study also revealed that the most remarkablecause of water quality degradation of the river was waste dumping (58%) followed by urbanization and riverbank erosion. The water quality degradation (46%) negatively influenced the abundance of fish species. Theresults concluded that the water quality of the river is not favorable for production of fishes and other aquaticorganisms. The study suggested that the source of water quality degradation should be closely monitoredtogether with the industrial effluent and/or domestic sewage discharge should be reduced or stopped throughthe initiatives of the local government concerned to maintain sound and healthy ecosystem of the river.


2019 ◽  
Vol 25 (10) ◽  
pp. 71-87
Author(s):  
Fatima Muqdad Al-Rubaie ◽  
Nawar Omran Al-Musawi

The assessment of a river water’ quality is an essential procedure of monitor programs and is used to collect basic environmental data. The management of integrated water resources in a sustainable method is also necessary to allow future generations to meet their water needs. The main objective of this research is to assess the effect of the Diyala River on Tigris River water quality using Geographic Information System (GIS) technique. Water samples have been collected monthly from November 2017 to April 2018 from four selected locations in Tigris and Diyala Rivers using the grab sampling method. Fourteen parameters were studied which are Turbidity, pH, Dissolved Oxygen, Biological Oxygen Demand, Electrical Conductivity, Total Dissolved Solids, Total Hardness, Calcium, Magnesium, Chloride, Sulphate, Phosphate, Sodium, and Total Alkalinity. The results of GIS maps showed that the water quality of the Tigris River nearly affected by the water quality of the Diyala River within the locations selected. The maps also reveal that in March and April 2018 the quality of surface water got a sudden peak compared with the other months. This is due to the increase in both the parameter of Turbidity and Total Dissolved Solids.  


2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Ratna Siahaan

AbstrakSungai Cisadane memiliki multifungsi untuk kebutuhan pertanian, rumah tangga dan industri. Namun, kegiatan manusia di Daerah Aliran Sungai/DAS Cisadane dan di Sungai Cisadane dapat mengancam fungsi dan nilai ekosistem S.Cisadane. Penelitian ini bertujuan untuk menganalisis keanakeragaman makrozoobentos sebagai indikator kualitas air S.Cisadane. Penelitian dilakukan di sembilan (9) titik di sepanjang Sungai Cisadane dari hulu hingga hilir. Sampel makrozoobentos dikoleksi dengan jala surber dan Eckman Grabb. Pada musim kemarau, kekayaan taksa makrozoobentos terendah di bagian tengah dan hilir hilir (8 taksa) dan tertinggi di hulu (20 taksa). Kualitas air sungai ditentukan berdasarkan Indeks keanekaragaman Shannon-Wiener (H’). Kualitas air S.Cisadane yaitu baik/tercemar sangat ringan di hulu (Stasiun 1), cukup baik/tercemar ringan di hulu - tengah (Stasiun 2-5), sedang/tercemar sedang tengah mendekati hilir (Stasiun 6), dan buruk/tercemar berat di hilir (Stasiun 7-9).Kata kunci: kualitas air, makrozoobentos, Sungai CisadaneAbstractCisadane River has multifunction i.e. agriculture, domestic and industry. All human activities in Cisadane Watershed and in Cisadane River could threat function and value of Cisadane River. The aim of this research was to analysis macrozoobenthos diversity as bioindicator of Cisadane River. Nine (9) stations were designed along Cisadane River from up to downstream. Samples were collected with Surber net and Eckman Grabb. The taxa richness decreased from upstream (20 taxa) to downstream (8 taxa).Based on Shannon-Wiener (H’), the water quality of Cisadane River were classified i.e. good (Station 1), quite good/slightly polluted (Station 2-5), moderate/moderately polluted (Station 6), and not good/ heavily polluted (Station 7-9).Keywords: Cisadane River, water quality, macrozoobenthos


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