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The Learning of Multivariate Adaptive Regression Splines (MARS) Model in Rainfall-Runoff Processes at Pahang River Catchment

–141. Ghani, A.A., Chang, C.K., Leow, C.S., and Zakaria, N.A., (2012), Sungai Pahang Digital Flood Mapping: 2007 Flood, International Journal of River Basin Management , 10:2,139-148. Lall, U., and Keppenel, C., (1996), Complex singular spectrum analysis and multivariate adaptive regression splines applied to forecasting the Southern Oscillation, Retrieved Mac 05, 2011 from http://www.cpc.ncep.noaa.gov/products/predictions/experimental/bulletin/Mar96/article13.html Lewis, P.A.W., and Ray, B.K., (1993), “Nonlinear Modeling of Multivariate and Categorical Time

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Comparison of Two RUSLE Models at the Hillslope Scale in Experimental Plots in Haiyuan, Ningxia, China

RUSLE model using remotely sensed geospatial data in Korea, Hydrol. Earth Syst. Sci. Discuss. , 3 : 135-157. Li, Pengfei, Xingmin Mu, Joseph Holden, Yiping Wu, Brian Irvine, Fei Wang, Peng Gao, Guangju Zhao, Wenyi Sun (2017), Comparison of soil erosion models used to study the Chinese Loess Plateau, Earth-Science Reviews 170 (2017): 17-30. https://doi.org/10.1016/j.earscirev.2017.05.005 Li, X.R., X.P. Wang, T. Li, J.G. Zhang (2002), Microbiotic soil crust and its effect on vegetation and habitat on artificially stabilized desert dunes in Tengger

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Studying the Dynamics of Lake Sevan Water Surface Temperature Using Landsat8 Sateliite Imagery

-17, 2015, DOI: 10.5194/essd-7-1-2015 Roy, D., Wulder, M., Loveland, T., Woodcock , C., Allen, R., Anderson, M., Helder, D.,… Zhu, Z. (2014). Landsat-8: Science and product vision for terrestrial global change research, Remote Sensing of Environment, 145, 154-172 DOI: 10.1016/j.rse.2007.05.015 Tepanosayn, G., Muradyan, V., Hovsepyan, A., et al. (2017). A Landsat 8 OLI Satellite Data-Based Assessment of Spatio-Temporal Variations of Lake Sevan Phytoplankton Biomass. Annals of Valahia University of Targoviste, Geographical Series, 17(1), pp

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Estimating Trends of Mean Monthly Ozone Emission in Urbanised Areas of Malaysia

REFERENCES Agrawal, M. (2003). Agrawal, M.,. In Emberson, L.D., Ashmore, M.R., Murray, F. (pp. 165–187.) London, U.K.: Imperial College Press. Al-Alawi, S.M., Abdul-Wahab, S.A., Bakheit, C. S. (2008). Combining principal component regression and artificial neural networks for more accurate predictions of ground-level ozone. Environ. Model. Softw., 23, 396 – 403 DOI:. 10.1016/j.envsoft.2006.08.007 Arif, L.N., A. M. A. (2013). Evaluation of meteorological conditions during 2005 haze episode in Klang Valley using mesoscale model MM5. International

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Combining Digital Elevation Data, Expert Knowledge and GIS for Geomorphological Mapping; The Case Study of Mount Hymettus, Athens, Greece

., Diamantopoulos, A., Kaouras, G. (2010,). Formation of basins and mountain ranges in Attica (Greece): The role of Miocene to Recent low-angle normal detachment faults, Earth-Science Reviews, 98(1), 81-104. http://dx.doi.org/10.1016/j.earscirev.2009.10.005 Lindsay, J.B., Cockburn, J.M.H., Russell, H.A.J. (2015) An integral image approach to performing multi-scale topographic position analysis, Geomorphology, 245, 51-61. https://doi.org/10.1016/j.geomorph.2015.05.025 Loibl, D., Lehmkuhl, F. (2013). High-resolution geomorphological map of a low

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Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

://doi.org/https://doi.org/10.1016/j.rse.2015.12.040 Gaur, A., Eichenbaum, M.K., Simonovic, S.P., (2018). Analysis and modelling of surface Urban Heat Island in 20 Canadian cities under climate and land-cover change. J. Environ. Manage. 206, 145-157. https://doi.org/https://doi.org/10.1016/j.jenvman.2017.10.002 Iojă, C.I., Grădinaru, S.R., Onose, D.A., Vânău, G.O., Tudor, A.C., (2014). The potential of school green areas to improve urban green connectivity and multifunctionality. Urban For. Urban Green. 13, 704-713. https://doi.org/https://doi.org/10.1016/j

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Modeling Spatio-Temporal Shoreline Shifting of a Coastal Island in Bangladesh Using Geospatial Techniques and DSAS Extension

change and sea level rise along coast of Bhitarkanika wildlife sanctuary, Orissa: an analytical approach of remote sensing and statistical techniques. International Journal of Geomatics and Geosciences, 1(3), 436, http://www.ipublishing.co.in/jggsvol1no12010/EIJGGS2013.pdf (August 11, 2017). Chen, Ying et al. 2016. “Land Claim and Loss of Tidal Flats in the Yangtze Estuary.” Scientific Reports 6: 10, http://www.nature.com/articles/srep24018. Choudhury, A. M., Haque, M. A., & Quadir, D. A. (1997). Consequences of global warming and sea

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Use of Modelling Approach in evaluation of Fractured Shale Aquifers for irrigation purpose; a case study of Oju, Lower Benue Trough Nigeria

,” Elizabethan Publishing Company, 1976. [24] A.D.N. Bain, “The Nigerian coalfields section 1. Enugu area,” Bull. Geol. Surv. Nig, Vol. 6, pp. 106-120, 1924. [25] M.E. Offodile, “The Geology of the Middle Benue, Nigeria,” Paleontologiska inst., Uppsala universitet, 1976. [26] S.O. Nwachukwu, “The Tectonic Evolution of the southern portion of the Benue Trough, Nigeria,” Geological Magazine, Vol. 109(05), pp. 411–419, 1972. [27] L.C. Amajor, “The Cenomanian Hiatus in the Southern Benue Trough, Nigeria,” Geological Magazine, Vol. 122(01), pp. 39–50, 1985

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