Reservoir Sedimentation Assessment Using Geospatial Technology: A case Study of Dukan Reservoir, Sulaimani Governorate, Kurdistan Region, Iraq

Main Article Content

Haveen Muhammed Rashid

Abstract

The accumulation of sediment in reservoirs poses a major challenge that impacts the storage capacity, quality of water, and efficiency of hydroelectric power generation systems. Geospatial methods, including Geographic Information Systems (GIS) and Remote Sensing (RS), were used to assess Dukan Reservoir sediment quantities. Satellite and reservoir water level data from 2010 to 2022 were used for sedimentation assessment. The satellite data was used to analyze the water spread area, employing the Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) to enhance the water surface in the satellite imagery of Dukan Reservoir. The cone formula was employed to calculate the live storage capacity of the reservoir within two elevations. According to the study results, the live storage capacity of Dukan Reservoir at elevation 511.78 m had decreased from 8000 MCM to 7007.77MCM and 6923.53 MCM using NDWI and MNDWI respectively, due to sedimentation, resulting in a capacity loss of 14.59% and 15.83% for NDWI and MNDWI respectively.  The annual sedimentation was 13.78 MCM and 14.95 MCM for NDWI and MNDWI, respectively. Joglekar's equation and Khosla's formula have demonstrated that the sedimentation rate in the Dukan reservoir exceeds the critical rate. The findings of this study will inform the development of sediment management strategies aimed at preserving the reservoir's capacity.

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“Reservoir Sedimentation Assessment Using Geospatial Technology: A case Study of Dukan Reservoir, Sulaimani Governorate, Kurdistan Region, Iraq ” (2023) Journal of Engineering, 29(12), pp. 66–80. doi:10.31026/j.eng.2023.12.05.

References

Afshar, S., Shamasai, A., and Saghafian, B., 2016. Dam sediment tracking using spectrometry and Landsat 8 satellite image, Taleghan Basin, Iran. Environmental Monitoring and Assessment, 188(104). Doi:10.1007/s10661-015-5052-y.

Al-Ansari, N., 2013. Management of water resources in Iraq, Perspectives and prognoses. Engineering, 5(8), pp. 667-684. Doi:10.4236/eng.2013.58080.

Al-Ansari, N., 2013. Management of water resources in Iraq: perspectives and prognoses. Engineering, 5(6), pp. 667-684.

Al-Ansari, N., Ali, A., and Knutsson, S., 2014. Present conditions and future challenges of water resources problems in Iraq. Journal of Water Resources and Protection, 6, pp. 1066-98. Doi:10.4236/jwarp.2014.612102.

Al-Ansari, N., Ali, A., and Knutsson, S., 2015. Iraq water resources planning: perspectives and prognoses. Jeddah, Saudi Arabia, pp. 2097-2108.

Al-Ansari, N., and Knutsson, S., 2011. Toward prudent management of water resources in Iraq. Journal of Advanced Science and Engineering Research,1, pp. 53-67. Doi:10.4236/jss.2016.43010.

Ali A., Hassan, R., Hazim, A., Al-Ansari, Ali, S., and Knutsson, S., 2020. Sediment flux from Lesser Zab River in Dokan Reservoir: Implications for the sustainability of long-term water resources in Iraq, River Research application. River Research and Applications, 1(11), pp. 351-361. Doi:10.1002/rra.3595.

Amore, E., Modica, C., Nearing, M.A., and Santoro,V.C., 2004. Scale effect in USLE and WEPP application for soil erosion computation from three Sicilian basins. Journal of Hydrology, 293, pp. 100-114. Doi:10.1016/j.jhydrol.2004.01.018

Avinash, G., and Chandramouli, P., 2018. Assessment of reservoir sedimentation using RS and GIS techniques -A case study of Kabini Reservoir, Karnataka, India. International Research Journal of Engineering and Technology, 5(8), pp. 630-635.

Aziz, A., Essam, Y., Ahmed, A., Huang, Y., and El-Shafie, A., 2021. An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery. Ain Shams Engineering Journal, 12(4), pp. 3429-3438. Doi:10.1016/j.asej.2021.03.014

Bhattacharyya, K., and Singh, V., 2019. Reservoir sedimentation. Assessment and environmental controls. CRC Press.

Binnie and Partners, 1987. Analysis and Safety Evaluation of Dokan Dam. (Overseas) Ltd., Final Report, 1.

Dadoria, D., Tiwari, H., and Jaiswal, R., 2017. Assessment of reservoir sedimentation in Chhattisgarh state using remote sensing and GIS. International Journal of Civil Engineering and technology, 8(4), pp. 526-534.

Dewangan, C., and Ahmad, I., 2020. Assessment of reservoir sedimentation and identification of critical soil erosion zone in Kodar reservoir watershed of Chhattisgarh state, India. In: Applications in Gematics in Civil Engineering. Select Proceedings of ICGCE 2018. (pp. 203-214). Doi:10.1007/978-981-13-7067-0_16.

Ezz-Aldeen, M., Hassan, R., Ali, A., Al-Ansari, N., and Knutsson, S., 2018. Watershed sediment and its effect on storage capacity: Case study of Dokan Dam Reservoir. Water, 10(7), p.858. Doi:10.3390/w10070858

Gao, J., 2009. Bathymetric mapping by means of remote sensing: Methods, accuracy and limitations. Progress in physical geography, 33(1), pp. 103-116. Doi:10.1177/0309133309105657.

Hassan, R., Al-ansari, N., Ali, A., ali, S., and Knutsson, S., 2017. Bathymetry and siltation rate for Dokan reservoir, Iraq. Lakes and Reservoirs: Research and Management, 20(2), pp. 1-11. Doi:10.1111/lre.12173

Hassan, R., Al-Ansari, N., Ali, S., Ali, A., Abdulla, T., and Knutsson, S., 2016. Dukan dam reservoir bed sediment, Kurdistan region, Iraq. Engineering, 8, pp. 582-596. Doi:10.4236/eng.2016.89054

Husain, Y., 2016. Monitoring and calculating the surface area of lakes in northern Iraq using satellite images. Applied Research Journal, 2(2), pp. 54-62.

CIGB, I., 2023. Sedimentation and sustainable use of reservoirs and river systems (1st ed.). CRC Press. Doi:10.1201/9781003316428

Iradukunda, P., and Bwambale, E., 2021. Reservoir sedimentation and its effect on storage capacity–A case study of Murera reservoir, Kenya, P., Cogent Engineering, 8. Doi:10.1080/23311916.2021.1917329

Jameel, M., Shemal, K., Sen, S., and Perumal, M., 2022. Assessment of trap efficiency of Dokan dam with different sediment management techniques using ResCon 2.2., IOP Conf. Ser.: Earth Environ. Sci., 1120. Doi:10.1088/1755-1315/1120/1/012041

Kodimela, A., Sivaprakasam, S., and Parupally, P., 2023. Soil Loss and reservoir sedimentation assessment of Kaddam watershed using Geographical Information systems and Remote sensing Techniques. Research square, pp. 1-30. Doi:10.21203/rs.3.rs-2408470/v1

Kumar, P., Saxena, K., Tyagi, B., Nayak, A., Pandey, N., Haldar, R., and Mahanta, P., 2013. Remote sensing study on geomorphological degradation of Sarda Sagar reservoir. Journal of Environmental Biology, 34(6), pp. 1065-1068.

Li, D., Lu, X., Yang, X., Chen, L., and Lin, L., 2018. Sediment load responses to climate variation and cascade reservoirs in the Yangtze river: A case study of the Jinsha river. Geomorphology, 322, pp. 41-52. Doi:10.1016/j.geomorph.2018.08.038

Liu, S.,Li, D., Liu, D., Znag, X., and Wang, Z., 2022. Characteristics of sedimentation and sediment trapping efficiency in the three Gorges reservoir, China. Catena, 208. Doi:10.1016/j.catena.2021.105715

Merina, N., Sashikkumar, M., Rizvana, N., and Adlin, R., 2016. Sedimentation study in a reservoir using Remote sensing Technique. Applied Ecology and Environment, 14(4), pp. 296-304. Doi:10.15666/aeer/1404_296304

Nijampurkar, T., Narwade, R., and Nagarajan, K., 2020. Analysis of sedimentation deposition in Morbe reservoir by using RS and GIs. Remote Sensing & GIS, 11(1), P. 1624. Doi:10.37591/.v11i1.813

Othman, L., 2016. Simulation-optimization model for Dokan reservoir system operation. MSc.Thesis.University of Sulaimani.

Pandey, A., Chaube, U., Mishra, S., and Kumar, D., 2016. Assessment of reservoir sedimentation using remote sensing and recommendations for desilting Patratu reservoir, India. Hydrological Sciences Journal, 61(4), pp. 711-718. Doi:10.1080/02626667.2014.993988

Priyanka, M., Vijaya, K., and Kanigolla, A., 2017. Assessment of Silt Deposition in Thatipudi Reservoir, Vijayanagaram District -A Geospatial Approach. VFSTR Journal of STEM, 3(1), pp. 2455-2462.

Ren, S., Zhang, B., Wang, W., Yuan, Y., and Guo, C., 2021. Sedimentation and its response to management strategies of the three Gorges reservoir, Yangtze River, China. Catena, 199, P.105096. Doi:10.1016/j.catena.2020.105096

Shendge, R., and Chockalingam, M., 2016. Review of reservoir sedimentation, remote sensing and GIS technology. International Journal of Innovations in Engineering Research and Technology, 3(6), pp. 45-51.

Singh, S., Prasad, B., and Tiwari, H., 2023. Sedimentation analysis for a reservoir using remote sensing and GIS techniques. ISH Journal of Hydraulic Engineering, 29(1), pp. 71-79. Doi:10.1080/09715010.2021.1975318

Sreepada, S., Munir, S., and Najmadin J., S., 2018. Optimizing reservoir operation – a case study of Dokan reservoir, Kurdistan. ZANCO Journal of Pure and Applied Sciences, 30, pp. 159-167.

Subramanya, K., 2008. Engineering Hydrology. 3rd ed. New Delhi: McGraw-Hill.

Nijampurkar, T., Narwade, R., and Nagarajan, K., 2020. Analysis of sedimentation deposition in morbe reservoir by using RS and GIS. Journal of Remote Sensing, pp. 16-24. Doi:10.37591/.v11i1.813

USGS, 2005. Glovis. https://glovis.usgs.gov/app?fullscreen=1

Vishwakarma, Y., Tiwari, H., and Jaiswal, R., 2015. Assessment of reservoir sedimentation using remote sensing technique with GIS model- A review. International Journal of Engineering and Management Research, 5(3), pp. 411-417.

White, R., 2001. Evacuation of sediments from reservoirs. London, U. K.: Thomas Telfors, pp. 131-139.

Xu, H., 2005. A Study on information extraction of water body with the Modified Normalized Difference Water Index (MNDWI). Journal of remote sensing, 9, pp. 589-595.

Zhang, J., Shang, Y., Liu, J., Fu, J., Wei, S., and Tong, L., 2020. Causes of variations in sediment yield in the Jinghe river basin, China. Scientific Reports, 10(1), P. 18054. Doi:10.1038/s41598-020-74980-3

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