Abstract
The identification of feasible areas for the location and possible construction of dams allows to guide and optimize the conservation efforts of the natural ecosystems, as well as the social and economic means that are around the area of analysis. The objective of this article is to present the proposal of a hybrid system that, using multicriteria and georeferenced analysis, allows the selection of possible potential areas to locate/build dams in them. In addition, a definition of the proposed hybrid system is proposed and a general methodological outline is established that guides the conduct of future studies. During the development, qualitative techniques based on simple analysis and the experience of experts were analyzed; and quantitative techniques based on the use of statistical and optimization models; in addition to spatial techniques used as tools for the realization of simpler quantitative processes. Of these, the latter have advantages, since they consider the execution of more detailed analyses, both of criteria and of restrictions and threats. The minimum phases that must be carried out are the definition of the objective to be prioritized, the selection and processing of criteria; the identification of restrictions and threats; as well as the choice of areas through optimization methods. Knowledge of the different methodologies makes it easier for decision makers to choose or combine the most suitable ones for the main objective.
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References
Chezgi, J., Pourghasemi, H.R., Naghibi, S.A., Moradi, H.R., Zarkesh, M.K.: Assessment of a spatial multi-criteria evaluation to site selection underground dams in the Alborz Province, Iran. Geocarto Int. 31, 628–646 (2016). https://doi.org/10.1080/10106049.2015.1073366
Noori, A., Bonakdari, H., Morovati, K., Gharabaghi, B.: The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model. Environ. Syst. Decis. 38, 471–488 (2018). https://doi.org/10.1007/s10669-018-9673-x
Dai, X.: Dam Site Selection Using an Integrated Method of AHP and GIS for Decision Making Support in Bortala, Northwest China (2016) [Online]. Available at: https://webapps.itc.utwente.nl/librarywww/papers_2016/msc/gem/dai.pdf. Accessed 11 May 2021
Jozaghi, A., Alizadeh, B., Hatami, M., Flood, I., Khorrami, M., Khodaei, N., Ghasemi Tousi, E.: A comparative study of the AHP and TOPSIS techniques for dam site selection using GIS: a case study of Sistan and Baluchestan Province, Iran. Geosciences (2018). https://doi.org/10.3390/geosciences8120494
Muhammad, S., Muneer, J., Gul, C., Javed, A., Malik, S.: Identification of suitable site for DAM in Northern Pakistan using Geo-Spatial Techniques. researchgate.net (2017)
Minatour, Y., Khazaei, J., Ataei, M., Javadi, A.A.: An integrated decision support system for dam site selection. Sci. Iran. Trans. A Civ. Eng. 22, 319–330 (2015)
Yasser, M., Jahangir, K., Mohmmad, A.: Earth dam site selection using the analytic hierarchy process (AHP): a case study in the west of Iran. Arab. J. Geosci. 6, 3417–3426 (2013). https://doi.org/10.1007/s12517-012-0602-x
Iftikhar, S.: Site suitability analysis for small multipurpose dams using geospatial technologies. J. Remote Sens. GIS 5, 1–13 (2016). https://doi.org/10.4172/2469-4134.1000162
Peng, Z.: Location of dam using analytic hierarchy progress. In: Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017), pp. 441–444. Atlantis Press, Paris, France (2017). https://doi.org/10.2991/ammee-17.2017.82
Peng, J., Peng, F.L.: A GIS-based evaluation method of underground space resources for urban spatial planning: Part 2 application. Tunn. Undergr. Space Technol. 77, 142–165 (2018). https://doi.org/10.1016/J.TUST.2018.03.013
Şen, Z., Al-Suba’I, K.: Hydrological considerations for dam siting in arid regions: a Saudi Arabian study. Hydrol. Sci. J. 47, 173–186 (2002). https://doi.org/10.1080/02626660209492922
Barkhordari, J.: The pre-selection of suitable sites for small underground dams in arid areas using GIS (a case study in Yazd_Ardakan watershed). Int. Geoinformatics Res. Dev. J. 6, 18–27 (2015)
Ibrahim, G.R.F., Rasul, A., Hamid, A.A., Ali, Z.F., Dewana, A.A.: Suitable site selection for rainwater harvesting and storage case study using Dohuk governorate. Water (2019).https://doi.org/10.3390/w11040864
Forzieri, G., Gardenti, M., Caparrini, F., Castelli, F.: A methodology for the pre-selection of suitable sites for surface and underground small dams in arid areas: a case study in the region of Kidal, Mali. Phys. Chem. Earth Parts A/B/C 33, 74–85 (2008). https://doi.org/10.1016/J.PCE.2007.04.014
Kharazi, P., Yazdani, M.R., Khazealpour, P.: Suitable identification of underground dam locations, using decision-making methods in a semi-arid region of Iranian Semnan Plain. Groundw. Sustain. Dev. (2019). https://doi.org/10.1016/J.GSD.2019.100240
Petheram, C., Gallant, J.C., Read, A.: An automated and rapid method for identifying dam wall locations and estimating reservoir yield over large areas. Environ. Model. Softw. 92, 189–201 (2017). https://doi.org/10.1016/j.envsoft.2017.02.016
Abushand, E., Alataw, S.: Dam site selection using remote sensing techniques and geographical information system to control flood events in Tabuk City. Hydrol. Curr. Res. 6, 1–13 (2015). https://doi.org/10.4172/2157-7587.1000189
Elhag, A.R., Eljack, I.H.: DAM site selection using GIS techniques and remote sensing to minimize flash floods in East Nile Locality (Soba Valley)—Khartoum State. Int. J. Eng. Sci. Invent. 5, 50–61 (2016)
Baban, S.M.J.: Use of remote sensing and geographical information systems in developing lake management strategies. Hydrobiologia 395(396), 211–226 (1999). https://doi.org/10.1023/A:1017057820780
Baban, S.M.J., Wan Yusof, K.: Mapping land use/cover distribution on a mountainous tropical island using remote sensing and GIS. Int. J. Remote Sens. 22, 1909–1918 (2001). https://doi.org/10.1080/01431160119220
Baban, S.M.J., Flannagan, J.: Developing and implementing GIS-assisted constraints criteria for planning landfill sites in the UK. Plan. Pract. Res. 13, 139–151 (1998). https://doi.org/10.1080/02697459816157
Baban, S.M.J., Wan-Yusof, K.: Modelling optimum sites for locating reservoirs in tropical environments. Water Resour. Manag. 17, 1–17 (2003). https://doi.org/10.1023/A:1023066705226
Singh, L.K., Jha, M.K., Chowdary, V.M.: Multi-criteria analysis and GIS modeling for identifying prospective water harvesting and artificial recharge sites for sustainable water supply. J. Clean. Prod. 142, 1436–1456 (2017). https://doi.org/10.1016/J.JCLEPRO.2016.11.163
Singh, J.P., Singh, D., Litoria, P.K.: Selection of suitable sites for water harvesting structures in Soankhad watershed, Punjab using remote sensing and geographical information system (RS&GIS) approach—a case study. J. Indian Soc. Remote Sens. 37, 21–35 (2009). https://doi.org/10.1007/s12524-009-0009-7
Singh, V.P., Chow, V.T.: Handbook of Applied Hydrology. McGraw-Hill Education (2017)
Cuban Environment Agency (AMA): Integrating Management of Watersheds and Coastal Area in Caribbean Small Island Developing States, Ciudad de la Habana (2001)
Xiao, Q., Shan, M., Xiao, X., Rao, C.: Evaluation model of industrial operation quality under multi-source heterogeneous data information. Int. J. Fuzzy Syst. 22, 522–547 (2020). https://doi.org/10.1007/s40815-019-00776-x
Saeli, M., Micale, R., Seabra, M.P., Labrincha, J.A., La Scalia, G.: Selection of novel geopolymeric mortars for sustainable construction applications using fuzzy TOPSIS approach. Sustainability 12, 59–87 (2020). https://doi.org/10.3390/su12155987
Кaтapжинa, X.: Bыбop тexнoлoгий c пoмoщью мeтoдa TOPSIS. Foresight STI Gov. 14, 85–96 (2020). https://doi.org/10.17323/2500-2597.2020.1.85.96
Vazquez, S.R., Mokrova, N.V.: Comparison of applicability of different computational geometry algorithms for the detection of vertices in river layers in GIS systems. In: 2020 International Multi-conference on Industrial Engineering and Modern Technologies (FarEastCon), pp 1–4. IEEE (2020). https://doi.org/10.1109/FarEastCon50210.2020.9271660
Vázquez, S.R., Makrova, N.V.: Vector-spatial analysis of GIS application layers for placing strategic points in dam design. Cтpoитeльcтвo и тexнoгeннaя бeзoпacнocт ь. 43–51 (2021). https://doi.org/10.37279/2413-1873-2021-20-43-51
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Vázquez, S.R., Mokrova, N.V. (2022). Hybrid System (M-SALD) of Multicriterial Analysis as a Decision Support Tool for the Selection of Areas for the Construction of Hydraulic Structures. In: Piñero Pérez, P.Y., Bello Pérez, R.E., Kacprzyk, J. (eds) Artificial Intelligence in Project Management and Making Decisions. UCIENCIA 2021. Studies in Computational Intelligence, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-97269-1_22
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