Water Quality Assessment on Fujiang River of China Using Projection Pursuit Model

Due to the increasingly serious water quality degradation on river, the study on river water quality status assessment has attracted more and more attention of the researchers and decision-makers. In this paper, water quality assessment of Fujiang River from January 2005 to December 2005 was studied by projection pursuit model (PPM). The water quality status of Fujiang River was assessed by the use of 10 monitoring sections, with DO, CODMn, BOD5, NH3-N, Petroleum, and Volatile phenol indicators. Based on the PPM analysis procedures, the assessed sections are described into 1 “category 1”, 4 “category 2” and 5 “category 3” states in 2005. The relative comparison results show that water quality status spatial order of Fujiang River from bad to good is: Fj09<Fj02< Fj10<Fj07< Fj03<Fj05<Fj04< Fj06<Fj08<Fj01.

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Establishment and Application of Water Quality Assessment Model for Jiaozhou Bay Basin

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.518-523.1165 ◽

2012 ◽

Vol 518-523 ◽

pp. 1165-1170 ◽

Cited By ~ 3

Author(s):

Chao Liu ◽

Hui He ◽

Xiao Hui Tan ◽

Ai Li Gao ◽

Song Xue

Keyword(s):

Water Quality ◽

Quality Assessment ◽

Bp Neural Network ◽

Jiaozhou Bay ◽

Water Quality Assessment ◽

Training Sample ◽

Assessment Method ◽

Assessment Model ◽

Water Quality Status ◽

Effectiveness Of Training

In this paper, a comprehensive water quality assessment model for the seagoing rivers of the Jiaozhou Bay basin was established based on a BP neural network. In the situation investigation, a list of main assessment indexes was selected, comprising COD, permanganate, DO, ammonia, volatile hydroxybenzene and mineral oil. Then Environmental Quality Standards for Surface Water was used as the training sample and comprehensive assessment was conducted for the rivers. In Comparison with results from the conventional single-factor assessment method, this model not only responded to the comprehensive river water quality status, but also improved the speed and effectiveness of training, saving time and increasing accuracy of the assessment model through a series of design optimizations.

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A new water quality assessment model based on projection pursuit technique

Journal of Environmental Sciences ◽

10.1016/s1001-0742(09)60062-0 ◽

2009 ◽

Vol 21 ◽

pp. S154-S157 ◽

Cited By ~ 25

Author(s):

Chi ZHANG ◽

Sihui DONG

Keyword(s):

Water Quality ◽

Quality Assessment ◽

Projection Pursuit ◽

Water Quality Assessment ◽

Assessment Model ◽

Model Based

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Water quality assessment of the river Buriganga, Bangladesh

Journal of Biodiversity Conservation and Bioresource Management ◽

10.3329/jbcbm.v4i1.37876 ◽

2018 ◽

Vol 4 (1) ◽

pp. 47-54 ◽

Cited By ~ 1

Author(s):

K Fatema ◽

M Begum ◽

M Al Zahid ◽

ME Hossain

Keyword(s):

Water Quality ◽

Water Quality Assessment ◽

Quality Parameters ◽

Dry Season ◽

River Ecosystem ◽

Wet Season ◽

Different Seasons ◽

Water Quality Status ◽

Quality Status

The present investigation was conducted to assess the water quality status of the river Buriganga. Water samples were collected from three selected stations in wet (June-August) and dry (November-January) seasons during the years 2017 and 2018. Temperature and Dissolved Oxygen (DO) of water varied from 22.80 to 31.40 °C and 0.22 to 2.74 mg/L, respectively. Electrical conductivity of water varied from 180 to 598 μS/cm while pH ranged from 7.61 to 8.97. This study showed that temperature, DO and Fe were higher in wet season than in the dry season, whereas pH, conductivity and phosphate were higher in dry season than in the wet season. But manganese did not vary in different seasons. It is found that the differences of water quality parameters were significant in seasons (p<0.05) except for Fe and insignificant for stations (p>0.05) except for DO. The results reveal that there were significant differences between sampling seasons (wet and dry) (p<0.05) except for temperature and manganese. A significant correlation (p<0.01) was also found among temperature and other parameters viz. DO, conductivity, pH, phosphate. According to the result obtained in the present study, it may be said that the water quality of the river Buriganga is not acceptable to declare the river-ecosystem as a sound one ecologically.J. Biodivers. Conserv. Bioresour. Manag. 2018, 4(1): 47-54

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Use of Diatoms in Monitoring the Sakarya River Basin, Turkey

Water ◽

10.3390/w12030703 ◽

2020 ◽

Vol 12 (3) ◽

pp. 703 ◽

Cited By ~ 1

Author(s):

Cüneyt Nadir Solak ◽

Łukasz Peszek ◽

Elif Yilmaz ◽

Halim Aytekin Ergül ◽

Melih Kayal ◽

...

Keyword(s):

Water Quality ◽

River Basin ◽

Water Quality Assessment ◽

Sensitivity Index ◽

Diatom Index ◽

Diatom Indices ◽

Sakarya River ◽

Important Correlation ◽

Water Quality Status ◽

Quality Status

The Sakarya River basin is one of the largest basins in Turkey, and encompasses the Kocaeli, Düzce, Sakarya, Bursa, Bilecik, Bolu, Kütahya, Eskişehir, Ankara, Afyon, and Konya provinces. In this study, the water quality status of the basin was investigated using 18 diatom indices, calculated in Omnidia software. For this purpose, a total of 46 stations were surveyed in the rivers and streams of the basin in May 2018. As a result, 41 of 195 diatom taxa were found to be the most frequent (>10% share in assemblage). According to Detrented Correspondence Analysis (DCA), three subgroups were described as the spring section, Ankara and Polatlı section, and lowland section. The river basin quality was evaluated as moderate or lower quality status, while only a few sites had good status. The diatom index scores showed that the Descy’s Index (DES), Pampean Diatom Index (IDP), Artois-Picardie Diatom Index (IDAP), and Specific Pollution Sensitivity Index (IPS) appear best suited to water quality assessment in this area, showing the largest number of significantly important correlation with environmental variables.

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