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Land assessment for flood spreading site selection using geospatial information system

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Abstract

Irregular patterns of precipitations from temporal as well as spatial perspectives not only cause destructions but also waste surface water resources. Hence, controlling surface water and leading the flood to underground stores improve the efficiency of water usage. Selecting appropriate sites for optimal use of water floods is one of the most important factors in recharging underground water tables in dry lands where the agricultural and rangelands are vulnerable. Traditional methods of site selections are, however, time consuming and error prone. This paper attempts to; analyze existing schemes of site selection; introduces an appropriate method of locating flood-spreading sites using Geospatial Information System; implements the strategy in a case study; and scientifically assesses its results. The study area of this research is Samal sub-basin covering 31571.7 ha of Ahrom basin in Boushehr province. In the present research, factors pertain to earth sciences (quaternary units, slope and landuse) and hydrology (runoff infiltration rate and aquifers’ depth) are considered. Information layers are weighted, classified and integrated through several models such as boolean logics, index overlay and fuzzy logics. The results are then checked against the existing sites to estimate their accuracy. The results of this research demonstrated that fuzzy logic operators including gamma=0.1, gamma=0.2 and products of fuzzy logics yield the best when compared to control fields and therefore, the models are introduced as the most suitable site selection strategies for flood spreading.

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References

  • Abu-Taleb, M. F., (1999). the use of infiltration field-tests for groundwater artificial recharge, Environ. Geo., 37(1–2), 64–71.

    Article  CAS  Google Scholar 

  • Alesheikh, A. A.; Ghorbanali I. A.; Nouri, N., (2007). Coastline change detection using remote sensing. Int. J. Environ. Sci. Tech., 4(1), 61–66.

    Article  Google Scholar 

  • Alesheikh, A. A.; Sadeghi Naeeni Fard, F., (2007). Design and implementation of aknowledge based system to improve maximum likelihood classification accuracy, Can. J. Remote Sens., 33(6), 459–467.

    Article  Google Scholar 

  • Alesheikh, A. A.; Oskouei, A. K.; Atabi, F.; Helali, H., (2005). providing interoperability for air quality in situs sensors observations using GML technology, Int. J. Environ. Sci. Tech., 2(2), 133–140.

    Article  CAS  Google Scholar 

  • Amiri, F.; Chaichi, M. R.; Nadi, A., (2006). RS and GIS application in site selection for artificial recharge of ground water tables in dry regions of Isfahan, Proceedings of Map India 2006 Conference, New Delhi, India.

  • ASCE Standard (2001). Environmental and water resources institute, American Society of Civil Engineers. Standard guidelines for artificial recharge of groundwater, ASCE standards, EWRI/ASCE 34–01, 106.

  • Bonham-Carter, G. F., (1994). Geographic information systems for geoscientists: Modeling with GIS. Paragon Press, Oxford, 398.

    Google Scholar 

  • Brown, F. M., (2003). Boolean reasoning: The logic of boolean equations. Dover Publications; 2nd. Ed., 304.

  • Chopra R.; Sharma, P. K., (1993). Landform analysis and ground water potential in the Bits Dab area Punjab, India. Int. J. Remote Sens. 14(17), 3221–3229.

    Article  Google Scholar 

  • Farajzadeh, M.; Karimi Ahmadabad, M.; Gaemy, H.; Mobasheri, M. R., (2007). Studying the moisture flux over Iran: A case study of January 1 to 7, 1996 rain storm, J. Appl. Sci., 7(20), 3023–3030.

    Article  Google Scholar 

  • Faucette, B.; King, W.; Germishuizen, P., (2003). Compost based erosion and sediment control demonstrations. BioCycle, 44(10), 32–40.

    Google Scholar 

  • Ghayoumian, J.; Mohseni Saravi, M.; Feiznia, S.; Nouri, B.; Malekian, A., (2007). Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. J. Asian Earth Sci., 30(2), 364–374.

    Article  Google Scholar 

  • Ghayoumian, J.; Ghermezcheshme, B.; Feiznia, S.; Noroozi, A. A., (2005). Integrating GIS and DSS for identification of suitable areas for artificial recharge, case study Meimeh Basin, Isfahan, Iran. Environ. Geo., 47(4), 493–500.

    Article  Google Scholar 

  • Gregory, J. H.; Dukes, M. D.; Miller, G. L.; Jones, P. H., (2005). Analysis of double-ring infiltration techniques and development of a simple automatic water delivery system. Applied Turfgrass Science. Available at: http://www.plantmanagementnetwork.org/pub/ats/guide/2005/ring/ doi:10.1094/ATS-2005-0531-01-MG.

  • Hosseinali, F.; Alesheikh, A. A., (2008). Weighting spatial information in GIS for copper mining exploration. Am. J. Appl. Sci., 5(9), 1187–1198.

    Article  Google Scholar 

  • Kheirkhah Zarkesh, M., (2005). Decision support system for floodwater spreading site selection in Iran. Ph.D. Thesis, Wakening University, the Netherlands, 259.

    Google Scholar 

  • Krishnamurthy, J.; Kkumar, N. V.; Jayaraman, V.; Manivel, M., (1996). An approach to demarcate ground water potential zones through remote sensing and geographic information system, Int. J. Remote Sens., 17(10),1867–1884.

    Article  Google Scholar 

  • Krishnamurthy J.; Srinivas, G., (1995). Role of geological and geomorphological factors in ground water exploration: A study using IRS LISS data. Int. J. Remote Sens., 16(14), 2595–2618.

    Article  Google Scholar 

  • Liu, C. W.; Chen, S. K., Joe, S. W.; Kuo, S. F., (2001). Estimation of the infiltration rate of a paddy field inYen-Lin, Taiwan. Agr. Syst., 68(1), 41–54.

    Article  Google Scholar 

  • Longley, P. A.; Godchild, M. F.; Maguire, D. J.; Rind, D. W., (2005). Geographic information systems and sciences, John Wiley Publications, 517.

  • Mehrvarz, K.; Kalantari Oskouei, A., (2007). Investigation of quaternary deposits suitable for floodwater spreading. Proceedings of the international congress of river basin management. Antalya, Turkey, 572–582.

  • Metternicht, G.; Gonzalez, S., (2005). FUERO: Foundations of a fuzzy exploratory model for soil erosion hazard prediction. Environ. Model. Softw., 20(6), 715–728.

    Article  Google Scholar 

  • Mobasheri, M. R.; Chahardoli, M.; Jokar, J.; Farajzadeh, M., (2008). Sugarcane phenological date estimation using broadband digital cameras. Am. J. Agr. Bio. Sci., 3(2), 468–475.

    Article  Google Scholar 

  • Murray, J., Ogden, A. T.; McDaniel, P. A., (2003). Development of a GIS database for ground-water recharge assessment of the Palo use. Soil Sci., 168(11), 759–768.

    Article  CAS  Google Scholar 

  • Rafee, N.; Karbassi, A. R.; Nouri, J.; Safari, E.; Mehrdadi, M., (2008). Strategic management of municipal debris aftermath of an earthquacke. Int. J. Environ. Res., 2(2), 205–204.

    Google Scholar 

  • Saraf, A. K; Choudhury, P. R., (1998). Integrated remote sensing and GIS for ground water exploration and identification recharge sites, Int. J. Remote Sens., 19(10), 1825–1841.

    Article  Google Scholar 

  • Schabenberger, O.; Gotway, C. A., (2005). Statistical methods for spatial data analysis. Chapman and Hall/CRC Press, 512.

  • Tsiporkova, E.; Boeva, V., (2006). Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment. Inform. Science, 176(18), 2673–2697.

    Article  Google Scholar 

  • Young, M. E.; Al-Tougy, N.; El Khatim, S.; Adam, O. A., (1999). Geophysical investigation of proposed sites for artificial recharge in Northern Oman. Q. J. Eng. Geo. 32(2), 139–155.

    Article  Google Scholar 

  • Zadeh, L., (1965). Fuzzy sets. Inform. Control, 8(3), 338–353.

    Article  Google Scholar 

  • Zehtabian, G. R.; Alavipanah, S. K.; Hamedpanah, R., (2001). Determination of an appropriate area for flood water spreading by remote sensing data and GIS. In: Proceedings of the International conference on new technology for a new century, Seoul, Korea, 1–6.

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Correspondence to A. A. Alesheikh.

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Alesheikh, A.A., Soltani, M.J., Nouri, N. et al. Land assessment for flood spreading site selection using geospatial information system. Int. J. Environ. Sci. Technol. 5, 455–462 (2008). https://doi.org/10.1007/BF03326041

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  • DOI: https://doi.org/10.1007/BF03326041

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