14th wasd international conference, london,€¦ · md. maruf mortula1*,kazi parvez fattah2, and...

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Page 1 Study the Variability of Water Quality in a Large Distribution Network Md. Maruf Mortula 1* , Kazi Parvez Fattah 2 , and Tarig A Ali 1 1. Associate Professor, American University of Sharjah, Sharjah, United Arab Emirates, PO Box 26666; 2. Assistant Professor, American University of Sharjah, Sharjah, United Arab Emirates, PO Box 26666; 14 th WASD International Conference, London, United Kingdom, 20-22 July, 2016

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Page 1: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 1

Study the Variability of Water Quality in a Large Distribution Network

Md. Maruf Mortula1*, Kazi Parvez Fattah2, and Tarig A Ali11. Associate Professor, American University of Sharjah, Sharjah, United

Arab Emirates, PO Box 26666;2. Assistant Professor, American University of Sharjah, Sharjah, United

Arab Emirates, PO Box 26666;

14th WASD International Conference, London, United Kingdom, 20-22 July, 2016

Page 2: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 2

Outline

• Introduction• Objectives of the Study• Study Area and Network• Methodologies• Results and Discussions• Conclusions

Page 3: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 3

Introduction

• A properly maintained water distribution system is critical in delivering safe water to the consumers

• Understanding the relationship between the distribution infrastructure and water quality is critical to ensuring good quality water

• Water quality in the distribution system can be affected by many different factors

Page 4: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 4

Introduction

• Water quality varies throughout the distribution network spatially and temporally

• Even though previous studies investigated the variability of water quality, the relationship with the distribution system is often ignored

• Geographic Information System (GIS) can be a useful tool in understanding the variability of the water quality

Page 5: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 5

Objectives of the Study

• The objective of the study was to assess the variations of water quality throughout the water distribution system in Sharjah, United Arab Emirates

Page 6: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 6

Study Area, City of Sharjah

Page 7: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 7

Sharjah Water Distribution Network

Page 8: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 8

Methodologies

• Water quality analysis was conducted based on spatial and temporal variability

• Temporal variability was studied on a single monitoring location, American University of Sharjah

• Monthly average data were used for 34 available months from January, 2012 to October, 2014

• Spatial variability was studied using GIS• pH, electrical conductivity and chlorine were used in

this study

Page 9: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 9

Results and Discussions, Temporal Variability

6.4

6.6

6.8

7

7.2

7.4

7.6

7.8

8

8.2

8.4

1 5 9 13 17 21 25 29 33

PH

MONTHS

800

900

1000

1100

1200

1300

1400

1500

1600

1700

1800

1 5 9 13 17 21 25 29 33

ELECTRICALCON

DUCTIVITY(MICRO

S/CM

)

MONTHS

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

1 5 9 13 17 21 25 29 33

CHLORINE(PPM

)

MONTHS

Page 10: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 10

Results and Discussions, Spatial Variability of pH

Page 11: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 11

Results and Discussions, Spatial Variability of Electrical Conductivity

Page 12: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 12

Results and Discussions, Spatial Variability of Residual Chlorine

Page 13: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 13

Conclusions

• The study analysed variations of water quality parameters throughout the distribution network in the City of Sharjah, UAE

• The study revealed that pH, EC and residual chlorine were consistently maintained throughout three year period for most of the locations

• Spatial distribution indicated that water quality close to the Arabian Gulf and old part of the city had slightly different characteristics than the new part of the distribution network

Page 14: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 14

Acknowledgements

• Sharjah Electricity and Water Authority (SEWA)

Page 15: 14th WASD International Conference, London,€¦ · Md. Maruf Mortula1*,Kazi Parvez Fattah2, and Tarig A Ali1 1. Associate Professor, American University of Sharjah, Sharjah, United

Page 15

References• Bhatt, G., M. Kumar, and C. Duffy 2014. A tightly coupled GIS and distributed hydrologic

modeling framework. Environmental Modelling & Software, 62, pages 70-84.• Chang, K.T., 2006. Introduction to Geographic Information Systems. Third Edition. Tata McGraw

Hill, New Delhi, pp. 325–327.• Charisiadis, P., Andra, S.S., Makris, K.C., Christophi, C.A., Skarlatos, D., Vamvakousis, V.,

Kargaki, S., Stephanou, E.G. 2015. Spatial and seasonal variability of tap water disinfection by-products within distribution pipe networks. Science of the Total Environment, 506-507, 26-35.

• Cordoba, G.A.C., Tuhovcak, L., and Taus, M., 2014. Using artificial neural network models to assess water quality in water distribution networks. Procedia Engineering, 70, 399-408.

• Dion-Fortier, A., Rodriguez, M.J., Serodes, J., and Proulx, F., 2009. Impact of water stagnation in residential cold and hot water plumbing on concentrations of trihalomethanes and haloaceticacids. Water Research, 43(12): 3057-66.

• Furnass, W.R., Mounce, S.R., and Boxall, J.B., 2013. Linking distribution system water quality issues to possible causes via hydraulic pathways. Environmental Modelling and Software, 40, 78-87.

• Gebbert, S. and E. Pebesma 2014. A temporal GIS for field based environmental modeling. Environmental Modelling & Software 53, pages 1-12.

• Kelsey, H., D. Porter, G. Scott, M. Neet, and D. White 2004. Using geographic information systems and regression analysis to evaluate relationships between land use and fecal coliform bacterial pollution. Journal of Experimental Marine Biology and Ecology, 298, 197–209.

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References

• Mesnard, L. 2013. Pollution models and inverse distance weighting: Some critical remarks. Computers & Geosciences, 52, pages 459-469.

• Nagatani, T., Yasuhara, K., Nakamura, T., Fuchigami, T., and Terashima, K., 2006. Residual Chlorine Decay Simulation in Water Distribution System. The 7th International Symposium on Water Supply Technology, Yokohama, November 22-24

• Rodriguez, M.J., Vinette, Y., Serodes, J.B., and Bouchard, C. Trihalomethanes in drinking water of greater Quebec region (Canada): occurrence, variations and modelling. Environmental Monitoring and Assessment, 89(1):69-93.

• Shanks, C.M., Serodes, J., and Rodriguez, M.J., 2013. Spatio-temporal variability of non-regulated disinfection by-products within a drinking water distribution network. Water Research, 47, 3231-3243.

• Wei, J., Ye, B., Wang, W., Yang, L., Tao, J., and Hang, Z. 2010. Spatial and temporal evaluations of disinfection by-products in drinking water distribution systems in Beijing, China. Science of the Total Environment, 408, 4600-4606.

• Xie, H., G. Yao, and L. Guiying 2015. Spatial evaluation of the ecological importance based on GIS for environmental management: A case study in Xingguo county of China. Ecological Indicators, 51, pages 3-12.

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Page 17

Questions?