Selection of Water Quality Monitoring Stations - Water Quality Management: Assessment and Interpretation - page 18

Table 2.7 Score of water
quality monitoring of the
K ā r ū n River using Sanders
method

Sub-basin Location of station Order

A Gotvand 1

K ā r ū n Band Mizan 7

-

Shotait - Arab asad 15.5

Shotait - Band Gheer 15.5

Ghargar Shooshtar 7.5

-

Ghargar Band Gheer 14.5

-

B Dez - Chamgalk 1

Dez Ab-e-sheerin 44

-

Dez Mostofei 50

-

Dez - Band Gheer 65

C K ā r ū n Band Gher 88

-

Mollahsani 90.5

Zargan 91

Pol-e-Panjom 110.5

Omoltamir 111.5

D Darkhoveyn 111.5

Soap factory 113.5

Hafar 115.5

Abolhasan 118.5

Chobdeh 120.5

2.5.1 Comment on the Application

Subjective selection of water quality monitoring may elevate a number of stations
and may cause increasing errors in selection of the stations. As a result, the financial

cost of installation and operation of the monitoring network can be increased.
Therefore, mathematical methods which using experimental data such as Sanders
method and dynamic programming approach may help to determine the locations
and number of water quality monitoring stations, economically and correctly.

References

Asadollahfardi G, Asadi M, Nasrinasrabadi M, Fraji A (2014) Dynamic programming approach
(DPA) for assessment of water quality network: a case study of the Sef ı ̄ d-Ru d River. Water

148
Asadollahfardi G, Khodadai A, Azimi A, Jafarnejad M, Shahoruzi M (2011) Multiple Criteria
Assessment of Water Quality Monitoring System in Karoon River. J Int Environ Appl Sci 6
(3):434

practice and technology 9(2):135

-

442
Asgharpoor M (2004) Multi Criteria Decisions. Tehran university publication, Tehran
Bellman R (1957) Dynamic programming. Princeton University Press, Princeton
Cetinkaya CP, Harmancioglu NB (2012) Assessment of water quality sampling sites by a dynamic
programming approach. J Hydrol Eng 17(2):305 - 317

-