SPATIOTEMPORAL LAND USE AND LAND COVER CHANGE IN MAJOR RIVER BASINS IN COMPREHENSIVE DEVELOPMENT AREA

Authors

  • Wan Yusryzal Wan Ibrahim Faculty of Built Environment UNIVERSITI TEKNOLOGI MALAYSIA
  • Ahmad Nazri Muhamad Ludin Faculty of Built Environment UNIVERSITI TEKNOLOGI MALAYSIA

DOI:

https://doi.org/10.21837/pm.v14i4.160

Keywords:

LULC, GIS, spatiotemporal, river basin, landscape index

Abstract

Urbanization has significantly transformed spatial configuration of landscape structure which is triggered by population growth and government’s development policy. As a consequence, the changes disturbed the quality of natural environment and ecosystem. Historical experience and prediction of future land use and land cover change is important to understand the spatial characteristics and environmental consequences of development area. Evaluating the spatiotemporal in urban development is essential as an important component improving adaptive management in landscape planning. Thus, the objective of this paper is to discuss the spatiotemporal land use and land cover change in major river basins (Sungai Tebrau, Sungai Skudai, Sungai Pulai and Coastal Zone) in the rapid development region of Iskandar Malaysia. The past experience indicates rapid growth of population and substantial urban development changed the spatial structure of the region and there is tremendous transformation of land use and land cover in the present due to high demand for development. Analytical Hierarchical Process (AHP) and CA-markov chain model were used to analyze the relationship of variables and formulate the future spatial changes. Then landscape index is used to analyze the spatial characteristics of the changes. Remote sensing data and GIS were used to conduct the analysis for the study. Temporal satellite images between 2002 and 2013 were utilized as input data for the past changes and basis for future land use and land cover change projection (2020, 2025 and 2025). The result indicates different character of urban landscape changes in different periods and river basins. Past experience shows the significant change of agricultural and natural land converted into artificial land use especially in Skudai and Tebrau river basins. In addition, there was conversion of water body for development in the past especially along the river banks and coastal area in Johor Bahru city center. This trend will constantly restructure the existing landscape as projection shows the significant impact of future development. This situation could contribute to other possible issues such as microclimate change and increase run-off water, pollution and degradation of ecological values and services. This study provides a platform for decision-makers to interpret the situation of landscape structure change in relation with environmental consequence in the study area. Future development plan should thoroughly consider the character of future spatial development and anticipate the possible effect on the environment in the region.

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References

Chu, M. L., Knouft, J.H., Ghulam, A., Guzman, J. A. and Pan, Z. (2013). Impacts of urbanization on river flow frequency: A controlled experimental modeling - based evaluation approach. Journal of Hydrology, 495, 1 – 12.

Du, J., Qian, L., Rui, H., Zuo, T., Zheng, D., Xu, Y. and Xu, C. (2012). Assessing the effects of urbanization on annual runoff and flood events using an integrated hydrological modeling system for Qin huai River basin, China. Journal of Hydrology 464 – 465, 127 – 139.

Duh, J., Shandas, V., Chang, H. and George, L. A (2008). Rates of urbanisation and the resiliency of air and water quality. Science of the Total Environment, 400, 238 - 256.

Edwin D. Ongley, E. D., Xiaolan, Z. and Tao, Y (2010). Current status of agricultural and rural non - point source pollution assessment in China. Environmental Pollution, 158, 1159 – 1168.

Fan and Myint (2014). A comparison of spatial autocorrelation indices and landscape metric s in measuring urban landscape fragmentation. Landscape and Urban Planning, 12, 117 – 128.

Frondoni, R., Mollo, B. and Capotorti, G. (2011). A landscape analysis of land cover change in the Municipality of Rome ( Italy ): Spatio - temporal characteristics and ecological implications of land cover transitions from 1954 to 2001. Landscape and Urban Planning , 100 (1 - 2), 117 – 128.

Fu, Y., Ruan,B., Ge, H. and Zhao, N. (2014). Agricultural non - point source pollution in the Yongding River Basin Wenxian Guo. Ecological I ndicators 36, 254 – 261.

Jiang, J., Li , S., Hu, J., Huang, J. (2014). A modeling approach to evaluating the impacts of policy - induced land management practices on non - point source pollution: A casestudy of the Liuxi River watershed, China. Agricultural Wate r Management 131, 1 – 16.

Jiayu Wu, J. and Jan Thompson, J. (2013).Quantifying impervious surface changes using time series planimetric data from 1940 to 2011 in four central Iowa cities, U.S.A. Landscape and Urban Planning 120, 34 – 47.

Lathrop, R. G., Tull och, D. L. and Hatfield, C. (2007). Consequences of land use change in the New York - New Jersey Highlands, USA: Landscape indicators of forest and watershed integrity. Landscape and Urban Planning 79, 150 - 159.

Mark A. Carlson, M. A., Lohse, K. A., McIntosh, J. C. and McLain, J. E.T (2011). Impacts of urbanization on groundwater quality and recharge in a semi - arid alluvial basin. Journal of Hydrology 409 (2011) 196 – 211.

McGarigal, K., Cushman, S. A., Neel, M. C., E., 2002. Fragstats: spatial pattern analysis program for categorical maps. www.umass.edu/landeco/research/fragstats/fragstats/html.

Rose, S. (2007). The effects of urbanization on the hydrochemistry of base flow within the Chattahoochee River Basin (Georgia, USA). Journal of Hydrology, 341, 42 – 54.

Schaffner, M., Hans - Peter Bader, H. P. and Scheidegger, R. (2009). Modeling the contribution of point sources and non - point sources to Thachin River water pollution. Science of the Total Environment, 407, 4902 – 4915.

Shena, Z., Houa, X., Wen Li, W. and Guzh anuer Aini, G. (2014). Relating landscape characteristics to non - point source pollution in a typical urbanized watershed in the municipality of Beijing. Landscape and Urban Planning, 123, 96 – 107.

Sun, X., He, J., Shi, Y., Zhu, X. and Li, Y. (2012). Spati otemporal change in land use patterns of coupled human - environment system with an integrated monitoring approach: A case study of Lianyungang, China. Ecological Complexity 12, 23 - 33.

Tanga, Z., B.A. Engela, B. A., Pijanowskib, B.C., Lim, K.J. (2005). Forec asting land use change and its environmental impact at a watershed scale. Journal of Environmental Management 76, 35 – 45.

United Nation. Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, 2009.World Population Prospects: The 2008 Revision and World Urbanization Prospects: The 2009 Revision. Available at http://esa.un.org/unpd/wup/Maps/maps_1_2025.html.

Wang, X., Wang, Q.,Wu, C., Liang, T., Z heng, D., Wei, X. (2012). A method coupled with remote sensing data to evaluate non - point source pollution in the Xin'anjiang catchment of China. Science of the Total Environment, 430, 132 – 143.

Xiana, G., Craneb, M., Suc, J. (2007). An analysis of urban development and its environmental impact on the Tampa Bay watershed. Journal of Environmental Management 85, 965 – 976

Xu, X. and Min, X. (2013). Quantifying spatiotemporal patterns of urban expansion in China using remote sensing data. Cities, 35, 104 - 113.

Youa, Y.Y., Jina, W.B., Xionga, Q.X., Xueb, L., Aib, T.C. and Lia, B.L. (2012). Simulation and Validation of Non - point Source Nitrogen and Phosphorus Loads under Different Land Uses in Sihu Basin, Hubei Province, China. Procedia Environmental Sciences, 13, 1781 – 1797.

Zhang, H. and Huang , G. H. (2011). Assessment of non - point source pollution using a spatial multicriteria analysis approach. Ecological Modelling, 222, 313 – 321.

Zhang, P., Liu, Y., Pan, Y. and Yu, Z. (2013). Land use pattern optimization base d on CLUE - S and SWAT models for agricultural non - point source pollution control. Mathematical and Computer Modelling, 58, 588 – 595

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Published

2016-07-30

How to Cite

Wan Ibrahim, W. Y., & Muhamad Ludin, A. N. (2016). SPATIOTEMPORAL LAND USE AND LAND COVER CHANGE IN MAJOR RIVER BASINS IN COMPREHENSIVE DEVELOPMENT AREA. PLANNING MALAYSIA, 14(4). https://doi.org/10.21837/pm.v14i4.160