Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques
Yıl: 2019 Cilt: 6 Sayı: 1 Sayfa Aralığı: 115 - 130 Metin Dili: İngilizce DOI: 10.30897/ijegeo.487885 İndeks Tarihi: 29-04-2020
Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques
Öz: Reservoirs have been found to provide a convenient source of water for different purposes to rural communities and this makes themindispensable, and they are quite important in improvement of livelihoods of rural community. The study applied Geospatialtechniques in assessing the Dadin Kowa Dam Water level in Gombe State, Nigeria. To achieve the objectives of this study, twomajor data were acquired. The water reservoir level recorded from 1987 till 2013 was collected from Upper Benue River BasinDevelopment Authority also LANDSAT satellite imagery from 1987, 2000 and 2015 were acquired. Supervised image basedclassification was applied to assess the class of land use land cover in the area of study. The extents (surface areas) of the DadinKowa Dam were delineated from LANDSAT satellite images using the Normalized Difference Water Index (NDWI). the water levelrecord was arranged in Microsoft Excel and the mean of the water level for 1987, 2000, and 2015 were used to assess the changeboth in extent and volume. The result shows that from 1987 to 2000 the water level increased and decreased from 2000 to 2015 dueto the climate change condition and the high rate consummation of water due to population growth of the area from 266844 in 1991to 367500 in 2016. Dadin Kowa reservoir may completely dry up by the year 2029 if the climatic condition remains as it is.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- Abdullaev, I.,De Fraiture, C.,Giordano, M.,Yakubov, M. & Rasulov, A. (2009). Agricultural water use and trade in Uzbekistan, Situation and potential impacts of market liberalization. Water Resources Development 25(1): 47–63.
- Alsdorf, D.,Rodriguez, E. & Lettenmaier, D. (2007). Measuring surface water from space. Rev. Geophys, 45.
- Balcik, FB. & Göksel, C. (2012). Determination of magnitude and direction of land use/land cover changes in Terkos Water Basin, Istanbul, Intl Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, B7.
- Baup, F., Frappart, F., Maubant, J. (2014). Combining high-resolution satellite images and altimetry to estimate the volume of small lakes. Hydrol. Earth Syst. Sci. 18, 2007–2020.
- Birkett, C. (1995). The contribution of topex/poseidon to the global monitoring of climatically sensitive lakes. J. Geophys. Res.Oceans, 100, 25179–25204.
- Burak, SZ., Doğan, E., Yücel, ZY. & Gazioğlu, C. (2002). Havza Yönetiminde Temel İlkeler ve İstanbul Örneği (Basic Principles in Watershed Management and Istanbul Case), Türkiye Kıyı Alanları Milli Komitesi, KAY, 02, 335-345.
- Calmant, S.,Seyler, F. & Cretaux, J. (2008). Monitoring continental surface waters by satellite altimetry. Surv. Geophys. 29, 247–269.
- Calvet, J.C.,Wigneron, J.-P.,Walker, J.,Karbou, F.,Chanzy, A. & Albergel, C. (2011). Sensitivity of passive microwave observations to soil moisture and vegetation water content: L-band to w-band. IEEE Trans. Geosci. Remote Sens. 49, 1190-1199.
- Chen, Y.,Xu, Y. & Yin, Y. (2009). Impacts of landuse change scenarios on storm-runoff generation in Xitiaoxi basin, China. Quaternary Int. 208, (1–2) 121–128.
- Cihlar, J.,Beaubien, J.,Latifovic, R. & Simard, G. (2005). Land cover of Canada version CD-ROM. Natural Resources Canada, Ottawa.
- Congalton R. & Green, K. (2009) Assessing the accuracy of remotely sensed data: Principles and practices, 2nd edn. Taylor & Francis, Baco Raton Crétaux, F. & Birkett, C. (2006). Lake studies from satellite radar altimetry. C. R. Geosci. 338, 1098– 1112.
- Crétaux, F.,Jelinski, W.,Calmant, S.,Kouraev, A., Vuglinski, V.,Bergé-Nguyen, M.,Gennero, C., Nino, F.,Del Rio, A. & Cazenave, A. (2011). Sols: A lake database to monitor in the near real time water level and storage variations from remote sensing data. Adv. Space Res. 47, 1497–1507.
- Daily, G. (1997). Nature’s Services: Societal Dependence on Natural Ecosystems.,Island Press: Washington, DC, USA, 329.
- Desmet, P. & Govers, G. (1996). A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. J. Soil Water Conserv. 51, 427–433.
- Duan, Z. & Bastiaanssen, W. (2013). Estimating water volume variations in lakes and reservoirs from four operational satellite altimetry databases and satellite imagery data. Remote Sens. Environ. 134, 403–416.
- Duan, Z. & Bastiaanssen, W. (2013). Estimating water volume variations in lakes and reservoirs from four operational satellite altimetry databases and satellite imagery data. Remote Sens. Environ. 134, 403–416.
- Dukhovny, A. (2003). The Aral Sea Basin – Rumors, realities, prospects. Irrigation and Drainange. 52: 109 120.
- FAO (2007). http://www.fao.org.
- Frappart, F., Calmant, S., Cauhopé, M., Seyler, F. & Cazenave, A. (2006). Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin. Remote Sens. Environ. 100, 252– 264.
- Frappart, F., Papa, F., Güntner, A., Werth, S., Da Silva, S., Tomasella, J., Seyler, F., Prigent, C., Rossow, B. & Calmant, S. (2011). Satellite-based estimates of groundwater storage variations in large drainage basins with extensive floodplains. Remote Sens. Environ. 115, 1588–1594.
- Frappart, F., Seyler, F., Martinez, M., Leon, G. & Cazenave, A. (2005). Floodplain water storage in the Negro river basin estimated from microwaveremote sensing of inundation area and water levels. Remote Sens. Environ. 99, 387–399.
- Gazioğlu, C., Yücel, ZY. & Doğan, HE. (1998). Uydu Verileriyle İstanbul Boğazı ve Yakın Çevresindeki İçme Suyu Havzalarına Genel Bir Bakış (An Overview of the Drinking Water Basins in the Bosphorus and the Surrounding Area with Satellite Data), Büyükşehirlerde Atıksu Yönetimi ve Deniz Kirlenmesi Kontrolü Sempozyumu
- Göksel, Ç. (1998). Monitoring of a water basin area in Istanbul using remote sensing data, Water Science and Technology 38 (11), 209-216.
- Göksel, Ç. Mercan, DE., Kapdaşlı, S.,Bektaş, F. & Şeker, DZ. (2004). Definition of sensitive areas in a lakeshore by using remote sensing and GIS, Fresenius Environmental Bulletin 13(9), 860-864.
- Heaven, S., Koloskov, B., Lock, C. & Tanton, W. (2002). Water resources management in the Aral Basin: a river basin management model for the Syr Darya. Irrigation and Drainange. 51(2), 109-118.
- Hu, Z., Gong, H. & Zhu, L. (2007) Fast Flooding Information Extraction in Emergency Response of Flood Disaster. Proceedings of the ISPRS Workshop on Updating Geo-Spatial Databases with Imagery and the 5th ISPRS Workshop onDMGISs, Urumchi, 28-29 August 2007, 173-177.
- Hundecha, Y. & Bardossy. A. (2004). Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model, J. Hydrol. 292, 281–295.
- Iclei, (2012). Sea Level Rise Adaptation Strategy for San Diego Bay. 133, ICLEI-Local Governments for Sustainability USA, San Diego, CA.
- Jawak, D., Kulkarni, K. & Luis, J. (2015). A review on extraction of lakes from remotely sensed optical satellite data with a special focus on cryospheric lakes. Adv. Remote Sens. 4, 196 213.
- Jensen, R. (2009). Remote Sensing of the Environment: An Earth Resource Perspective 2/e.,Pearson Education: Delhi, India, 15–17.
- Kaya, H., Yücel, ZY. & Gazioğlu, C. (2004). Terkos Gölü'nün Sürdürülebilir Kullanımında CBS ve Uzaktan Algılama Teknolojileri (GIS and Remote Sensing Technologies for the Sustainable Use of Terkos Lake) Türkiye’ nin Kıyı ve Deniz Alanları V. Ulusal Konferansı, 768-776.
- Kaya, Ş., Şeker, DZ. & Tanık, A. (2014). Temporal Impact of Urbanization on the Protection Zones of Two Drinking Water Reservoirs in Istanbul, Fresenius Environmental Bulletin 23 (12), 2984- 2989.
- Kazbekov, J., Rakhmatullaev, S., Huneau, F. & Coustumer, P. (2007). Types & Hydrogeologic Features of surface and groundwater interactions in Uzbekistan. 35th International Association of Hydrogeologists Congress, Lisbon, Portugal, 17 21 September 2007. Conference Proceedings.
- McFeeters, K. (1996). The use of the normalized difference water index (NDWI) in the delineation of open water features. Int. J. Remote Sens.17, 1425– 1432.
- Medina, E., Gomez-Enri, J., Alonso, J. & Villares, P. (2008). Water level fluctuations derived from ENVISAT Radar Altimeter (RA-2) and in-situ measurements in a subtropical waterbody: Lake Izabal (Guatemala). Remote Sens. Environ. 112, 3604–3617.
- Micklin, H. & Kluwer. (2004). The Aral Sea crisis. In: Dying and dead Seas-Climatic versus. Anthropic causes, Academic Publishers, Netherlands.,49-76.
- NEMA (2012). http://nema.gov.ng/south-south-lost-n2- 51trn-to-floods-in-2012-says-nema/ O’Hara, L. (2000). Lessons from the past: water management in Central Asia. Water Policy 2: 365- 384.
- Osgouei, PE. & Kaya, Ş. (2017). Analysis of land cover/use changes using LANDSAT 5 TM data and indices, Environmental Monitoring & Assessment 189 (4), 136.
- Phan, H., Lindenbergh, R. & Menenti, M. (2012). ICESat derived elevation changes of Tibetan lakes between 2003 and 2009. Int. J. Appl. Earth Obs. Geoinf. 17, 12–22.
- Rakhmatullaev, S. (2006). Geoinformation systems for estimation of reservoir volume Capacities due to sedimentation. Final Proc. IV Conf. Specialis President Foundation ISTEDOD, November 24 25, 40-51.
- Ramillien, G., Frappart, F. & Seoane, L. (2014). Application of the regional water mass variations from grace satellite gravimetry to large-scale water management in Africa. Remote Sens. 6, 7379–7405.
- Rokni, K., Ahmad, A., Selamat, A. & Hazini, S. (2014). Water feature extraction and change detection using multitemporal LANDSAT imagery. Remote Sens. 6, 4173–4189.
- Sharma, O.,Mioc, D. & Anton, F. (2007) Feature Extraction and Simplification from Colour Images Based on Colour Image Segmentation and Skeletonization Using the Quad-Edge Data Structure.
- Proceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen, 29 January-1 February 2007, 225-232.
- Singh, A., Seitz, F. & Schwatke, C. (2012). Inter annual water storage changes in the Aral Sea from multimission satellite altimetry, optical remote sensing, and GRACE satellite gravimetry. Remote Sens. Environ. 123, 187–195.
- Snyder, F. (1938). Synthetic Unit Graphs. Trans. Am. Geophys. Union 19 447–454.
- Sun, F., Sun, W., Chen, J. & Gong, P. (2012). Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery. Int. J. Remote Sens. 33, 6854–6875.
- Timawus, M. (2010). Jonathan Needs More Than Good Luck. Daily Trust. 05-23.
- Tourian, M., Elmi, O., Chen, Q., Devaraju, B., Roohi, S. & Sneeuw, N. (2015). A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran. Remote Sens. Environ. 156, 349–360.
- UBRB (Upper Benue River Basin). (2015). Rain fall data report in the northeast Nigeria.
- UNDP (2007). Water, critical resource for Uzbekistan’s future. UNDP Program, Tashkent, Uzbekistan, 121p.
- USACE (2008). HEC-HMS Hydrologic Modeling System User’s Manual. Hydrologic Engineering Center, Davis, CA.
- Vivoni, R. (2007). Variation of hydro meteorological conditions along a topographic transect in north western Mexico during the North American monsoon. J. Clim. 20 1792–1809.
- Volpi, M.,Petropoulos, P. & Kanevski, M. (2013). Flooding extent cartography with LANDSAT TM imagery and regularized kernel fisher’s discriminant analysis. Comput. Geosci. 57, 24–31.
- Wang, X.W.,Gong, P, Zhao, Y, Xu, Y.,Cheng, X.,Niu, G.,Luo, C.,Huang, B.,Sun, D. & Li, W. (2013) Water-level changes in China’s Large Lakes determined from ICESat/GLASdata. Remote Sens. Environ. 132, 134–144.
- Wijesekara, N.,Gupta, A.,Valeo, C.,Hasbani Jg, Y.,Delaney, P;. & Marceau, J.,(2012) Assessing the impact of future land-use changes on hydrological processes in the Elbow River watershed in southern Alberta, Canada. J. Hydrol. 412–413 220–232.
- World Bank. (2003). Irrigation in Central Asia: Social, economic and environmental considerations.
- Yan, J. & Qi, W. (2012). Lakes in Tibetan Plateau extraction from remote sensing and their dynamic changes. Acta Geosci. Sin. 33, 65–74.
- Yang, X. (2002). Satellite monitoring of urban spatial growth in the Atlanta metropolitan area. Photogramm Eng Remote Sens 68:725–734
- Yücel, ZY., Gazioğlu, C. Doğan, E. & Kaya, H. (2002). Uzaktan Algılama ve CBS/B ile Ömerli Barajı ve Yakın Çevresinin İzlenmesi (Monitoring of Ömerli Dam and its Neighborhood with Remote Sensing and GIS) Türkiye'nin Kıyı ve Deniz Alanları IV Ulusal Konferansı. 5-8.
- Zhang, J.,Xu, K.,Yang, Y.,Qi, L.,Hayashi, S. & Watanabe, M. (2006). Measuring water storage fluctuations in Lake Dongting, China, by Topex/Poseidon satellite altimetry. Environ. Monit. Assess. 2006, 115, 23–37.
- Zhu,W.,Jia, S. & Lv, A. (2014). Monitoring the fluctuation of Lake Qinghai using multi-source remote sensing data. Remote Sens. 6, 1045.
| APA | JESSE E, IGBOKWE J, ESSIEN E, SUMİ Y (2019). Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. , 115 - 130. 10.30897/ijegeo.487885 |
| Chicago | JESSE Ezeikel Elisha,IGBOKWE J.I.,ESSIEN Etido,SUMİ Yakubu Lawi Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. (2019): 115 - 130. 10.30897/ijegeo.487885 |
| MLA | JESSE Ezeikel Elisha,IGBOKWE J.I.,ESSIEN Etido,SUMİ Yakubu Lawi Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. , 2019, ss.115 - 130. 10.30897/ijegeo.487885 |
| AMA | JESSE E,IGBOKWE J,ESSIEN E,SUMİ Y Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. . 2019; 115 - 130. 10.30897/ijegeo.487885 |
| Vancouver | JESSE E,IGBOKWE J,ESSIEN E,SUMİ Y Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. . 2019; 115 - 130. 10.30897/ijegeo.487885 |
| IEEE | JESSE E,IGBOKWE J,ESSIEN E,SUMİ Y "Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques." , ss.115 - 130, 2019. 10.30897/ijegeo.487885 |
| ISNAD | JESSE, Ezeikel Elisha vd. "Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques". (2019), 115-130. https://doi.org/10.30897/ijegeo.487885 |
| APA | JESSE E, IGBOKWE J, ESSIEN E, SUMİ Y (2019). Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. International Journal of Environment and Geoinformatics, 6(1), 115 - 130. 10.30897/ijegeo.487885 |
| Chicago | JESSE Ezeikel Elisha,IGBOKWE J.I.,ESSIEN Etido,SUMİ Yakubu Lawi Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. International Journal of Environment and Geoinformatics 6, no.1 (2019): 115 - 130. 10.30897/ijegeo.487885 |
| MLA | JESSE Ezeikel Elisha,IGBOKWE J.I.,ESSIEN Etido,SUMİ Yakubu Lawi Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. International Journal of Environment and Geoinformatics, vol.6, no.1, 2019, ss.115 - 130. 10.30897/ijegeo.487885 |
| AMA | JESSE E,IGBOKWE J,ESSIEN E,SUMİ Y Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. International Journal of Environment and Geoinformatics. 2019; 6(1): 115 - 130. 10.30897/ijegeo.487885 |
| Vancouver | JESSE E,IGBOKWE J,ESSIEN E,SUMİ Y Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques. International Journal of Environment and Geoinformatics. 2019; 6(1): 115 - 130. 10.30897/ijegeo.487885 |
| IEEE | JESSE E,IGBOKWE J,ESSIEN E,SUMİ Y "Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques." International Journal of Environment and Geoinformatics, 6, ss.115 - 130, 2019. 10.30897/ijegeo.487885 |
| ISNAD | JESSE, Ezeikel Elisha vd. "Assessment of Water Level in Dadin Kowa Dam Reservoir in Gombe State Nigeria Using Geospatial Techniques". International Journal of Environment and Geoinformatics 6/1 (2019), 115-130. https://doi.org/10.30897/ijegeo.487885 |
