EFFECTS OF LANDUSE AND LANDCOVER CHANGE ON FLOODING IN KANO METROPOLIS, KANO STATE, NIGERIA

Authors

  • I. Mukhtar
  • E. O. Iguisi
  • A. U. Shehu
  • Yusuf Dabo
    None
  • M. Abubakar
  • S. M. Zubairu
  • A. Balarabe

Keywords:

Landuse and Landcover (LULC), HEC-HMS model, Chalawa basin, Jakara basin and sub- drainage basins

Abstract

ABSTRACT

This paper looked at the change in land use land cover (LULC) of Kano metropolis from 2001 to 2012; projected to 2035 and thereby assessing the response of these different land covers to rainfall event using the Hydrologic Engineering Corps- Hydrologic Modelling System (HEC-HMS) model. The outcome of the LULC revealed that the built-up areas increased from 19.7% to 34.4% and then to 54.4% in 2001, 2012 and 2035, respectively. The discharge of Jakara basin indicated a rise from 2001, 2012 to 2035 in the order of 443, 585.2 to 609.7 cm3/sec respectively. However, that of Chalawa shows increase between 2001 and 2012 and a decrease in 2035 as a result of canalization within the basin. The paper recommended adherence to the city masterplan and construction of canals within each sub-drainage basin for proper conveyance of run-off discharge.

Dimensions

Action Aid International, (2006). Climate change, urban flooding and the rights of the urban poor in Africa: Key findings from six African cities. A Report by AAI, October, 2006. Pp. 1-7

Alaghmand, S. Abdullah, R. Abustan, I. and Vosoogh, B. (2010). GIS-based River Flood Hazard Mapping in Urban Area (A Case Study in Kayu Ara River Basin, Malaysia. International Journal of Engineering and Technology. 2(6) 488-500.

Balogun, I. A., Adeyewa, D. Z. Balogun, A. A. and Morakinyo, T. E. (2011). Analysis of urban expansion and land use changes in Akure, Nigeria, using remote sensing and geographic information system (GIS) techniques. Journal of Geography and Regional Planning. 4(9), pp. 533-541. ISSN 2070-1845 ©2011 Academic Journals

Bandaragoda, C. (2008). Distributed Hydrological Modelling for Stream Flow Prediction at Unguaged basins. A P.hD dissertation submitted to the facuty of civil engineering. Utah state university. Logon, UT.

Belaid, M. A. (2003). Urban-Rural Land Use Change Detection and Analysis Using GIS & RS Technologies: Geographic Information for Planning. 2nd FIG Regional Conference Marrakech. Morocco, December 2-5.

Bhatt, G. (20012). A distribution Hydrologic Modelling System Framework for Discovery and Management of Water resources. A Ph.D dissertation submitted to the graduate school. Pennsylvania state university.

Chu, L., (2009). Population Estimation Methods in GIS and Remote Sensing: A Review. GIScience & Remote Sensing, 43(3), pp. 80-96.

Cummings, C. A., Todhunter, P. E., Rundquist, B. C., (2012) Using the Hazus-MH flood model to evaluate community relocation as a flood mitigation response to terminal lake flooding: The case of Minnewaukan, North Dakota, USA Journal of Applied Geography Vol. 32 Pp. 889-895

Ejao, S. P. and Abdullahi, U. (2013). Spatiotemporal Analyses of Land Use and Land Cover Changes in Suleja Local Government Area, Niger State, Nigeria.Journal of Environment and Earth Science. Vol. 3, No.9, 2013

García-Pintado, J., Neal, J. C. , Mason, D. C., Dance, S. L., Bates P. D. (2013) Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modeling. Journal of Hydrology Vol.495 Pp. 252–266.

Gupta, S.K. (2002). Monitoring of change in landuse/landcoever using multi-sensor satellite data. National Institute of technology Allahabad India.

HEC-HMS. (2006). HEC-HMS User's Manual - Hydrologic Engineering Center - Army.mil. United States of America. Retrieved from www.hec.usace.army.mil/software/hec-hms/.../HEC-HMS_Users_Manual.

Hemandez, S.L., (1998). GIScience: Disasters and Emergency Management. Transactions in GIS, 3(2), pp. 439-445.

Isham, Z. S. (2014) Urban Flash Flood Risk Assessment and inundation Model Utilizing GIS for Terre Haute, Indiana. An M.Sc. Thesis presented to the college of Graduate and Professional Studies, Department of Earth and Environmental Systems, Indiana State University, Terre Haute, Indiana.

Ishaya, S., Ifatimehin, O. O. and Abaje I. B. (2009), Mapping Flood Vulnerable Areas In A Developing Urban Centre Of Nigeria Journal of Sustainable Development in Africa (Volume 11, No.4, 2009) 1520-5509.

Isma’il, M., Salisu, A., Yusuf, S. and Muhammed, Z. D. (2010). Spatial Analysis of Urban Growth in Kazaure Local Government Area of Jigawa State, Nigeria. International Journal of Geomatics and Geosciences. Vol. 4, No 1, pp 47-60.

Jeb, D.N. (2013). Flood Risk Analysis in Kaduna Metropolis, Kaduna State Nigeria, Using Geoinformation Science. (Unpublished Ph.D. Thesis), Geography Department, Ahmadu Bello University, Zaria.

Johnson, R. (1997). Continuous Hydrological Modelling in a large watershed in eastern Canada.A theisis submitted to the faculty of engineering, Technical University Nova-Scotia.

Masher, A., and Malthus, P., (2013). Comparing the Consistency of Expert Land Cover Knowledge. International Journal of Geographical Information Science. 18(7). 189-201.

Mishra, V., Dominguez, F., Lettenmaier, D.P., (2012). Urban precipitation extremes: How reliable are regional climate models? Geophys. Res. Lett. 39.

MunichRe, (2005). Megacities–Mega Risks: Trends and Challenges for Insurances and Risk Management. Retrieved from http://www.munichre.com/publications/302-04271.

Ogba, C, Okon, I and Idoko, M. (2009) Application of Geographic Information System (GIS) towards Flood Management in Calabar, Nigeria Surveyors Key Role in Accelerated Development FIG Working Week 2009 Eilat, Israel, 3-8 May 2009.

Ojigi, M. L. and Shaba, A. H., (2013). Integration of Synthetic Aperture Radar (SAR) Imagery and Digital Terrain Model for Determining Flood Water Threshold in Sokoto and Environs, Nigeria. Proceedings of the Geoinformation Society of Nigeria (GEOSON) & Nigerian Cartographic Association (NCA) Joint Annual Workshop/Conference held at Regional Centre for Training in Aerospace Surveys (RECTAS). Pp. 291-303

Sajid, X., (2009). Remote Sensing and GIS-based Flood Vulnerability Assessment in Jiangxi Province in China. International Workshop on Geoscience and Remote Sensing. 21-22 Dec. 2009. IEEE Computer Society Washington. DC. USA. pp. 332-335.

Salazer A. (2012). Small Area Estimation: A Review of Methods Based on the Application of Mixed Models. S3RI Methodology Working Paper M03/16. Southampton, UK: Southampton Statistical Sciences Research Institute.

Samarasinghea ,S.M.J.S., Nandalalb H.K., Weliwitiyac, D.P., Fowzed, J.S.M. , Hazarikad, M.K., Samarakoon, L. (2010) Application Of Remote Sensing And Gis For Flood Risk Analysis: A Case Study At Kalu- Ganga River, Sri Lanka International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, Part 8, Kyoto Japan

Smith, T. J. (2012). Conceptual Hydrological Modelling: Insight into Bayesian Analysis, Model Development and Predictions in Uguaged Basins. A. Ph.D. dissertation submitted to graduate school. Montana state university Bozeman. Montana.

Sreenivasulu, V. and Bhaskar, P. U. (2010). Change Detection in Landuse and landcover using Remote Sensing and GIS Techniques. International Journal of Engineering Science and Technology. Kakinada, A.P, India-533003 Vol. 2(12), 2010, 7758-7762.

Whitehead P.G., Robinson, M. (1993) Experimental Basin Studies- an international and historical perspective of forest impacts. Journal of Hydrology. 3(14). 200–214

Published

29-09-2020

How to Cite

EFFECTS OF LANDUSE AND LANDCOVER CHANGE ON FLOODING IN KANO METROPOLIS, KANO STATE, NIGERIA. (2020). FUDMA JOURNAL OF SCIENCES, 4(3), 505-512. https://doi.org/10.33003/fjs-2020-0403-368

Issue

Vol. 4 No. 3 (2020): FUDMA Journal of Sciences - Vol. 4 No. 3

Section

Research Articles
Copyright & Licensing

How to Cite

EFFECTS OF LANDUSE AND LANDCOVER CHANGE ON FLOODING IN KANO METROPOLIS, KANO STATE, NIGERIA. (2020). FUDMA JOURNAL OF SCIENCES, 4(3), 505-512. https://doi.org/10.33003/fjs-2020-0403-368

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