Georeferenced water vulnerability indexes: a systematic review
Article Sidebar
Main Article Content
Abstract
The water resource is indispensable, used in almost all productive sectors, and linked to the metabolic maintenance of all living beings. However, due to climate change and population growth, the demand for this resource has indicated a substantial increase in overexploitation and worsening situations such as drought. Given this, water vulnerability indices emerge as a vanguard in global research, helping to understand the pressures exerted, and encouraging the creation of projects and strategies to overcome this problem. Therefore, it is essential to identify the main factors that actively contribute to this vulnerability typology, and the methodologies applied to quantify them. Given this, the main objective of this systematic review was to select and analyze studies related to georeferenced water vulnerability index systems at the river basin level, identifying the main factors that actively contribute to water vulnerability. The results showed, through the creation of bibliometric maps, a strong correlation between the chosen articles, highlighting keywords such as China, vulnerability, drought, and fuzzy mathematics. Furthermore, the presence of methodologies such as Fuzzy logic and Hierarchical Analysis of Fuzzy Processes (FAHP), and the use of natural and socioeconomic factors to calculate water vulnerability was notable.
Article Details
Citas en Dimensions Service
References
Alcamo, J., Dronin, N., Endejan, M., Golubev, G., Kirilenko, A. (2007) A new assessment of climate change impacts on food production shortfalls and water availability in Russia. Global Environmental Change, 17(3-4), 429-444. https://doi.org/10.1016/j.gloenvcha.2006.12.006
Alonso, C., Gouveia, C. M., Russo, A., Páscoa, P. (2019) Crops' exposure, sensitivity and adaptive capacity to drought occurrence. Natural Hazards and Earth System Sciences, 19(12), 2727-2743. https://doi.org/10.5194/nhess-19-2727-2019
Anandhi, A., Kannan, N. (2018) Vulnerability assessment of water resources–translating a theoretical concept to an operational framework using systems thinking approach in a changing climate: case study in Ogallala Aquifer. Journal of Hydrology, 557, 460-474. https://doi.org/10.1016/j.jhydrol.2017.11.032
Bullock, J. A., Haddow, G. D., Coppola, D. P. (2018) Homeland Security: The Essentials, 2a ed., Elsevier, Amsterdam, 438 pp.
Chen, W., Wu, S., Lei, Y., Li, S. (2017) China’s water footprint by province, and inter-provincial transfer of virtual water. Ecological indicators, 74, 321-333. https://doi.org/10.1016/j.ecolind.2016.11.037
Chhetri, R., Kumar, P., Pandey, Vishnu, P., Singh, R., Pandey, S. (2020) Vulnerability assessment of water resources in hilly region of Nepal. Sustainable Water Resources Management, 6(3), 1-12. https://doi.org/10.1007/s40899-020-00391-x
Donato, H., Donato, M. (2019) Stages for Undertaking a Systematic Review. Acta Médica Portuguesa, 32 (3), 227–235. https://doi.org/10.20344/amp.11923
Gui, Z., Chen, X., He, Y. (2021) Spatiotemporal analysis of water resources system vulnerability in the Lancang River Basin, China. Journal of Hydrology, 601, 126614. https://doi.org/10.1016/j.jhydrol.2021.126614
Haq, M., Akhtar, M., Muhammad, S., Paras, S., Rahmatullah, J. (2012) Techniques of remote sensing and GIS for flood monitoring and damage assessment: a case study of Sindh province, Pakistan. The Egyptian Journal of Remote Sensing and Space Science, 15(2), 135-141. https://doi.org/10.1016/j.ejrs.2012.07.002
Hoekstra, A. Y., Buurman, J., Van Ginkel, K. C. (2018) Urban water security: A review. Environmental research letters, 13(5), 053002. https://doi.org/10.1088/1748-9326/aaba52
Huang, Y., Xu, L., Yin, H., Cai, Y., Yang, Z. (2015) Dual-level material and psychological assessment of urban water security in a water-stressed coastal city. Sustainability, 7(4), 3900-3918. https://doi.org/10.3390/su7043900
Jéquier, E., Constant, F. (2010) Water as an essential nutrient: the physiological basis of hydration. European Journal of Clinical Nutrition, 64, 115-123. https://doi.org/10.1038/ejcn.2009.111
Jia, X., Li, C., Cai, Y., Wang, X., Sun, L. (2015) An improved method for integrated water security assessment in the Yellow River basin, China. Stochastic Environmental Research and Risk Assessment, 29, 2213-2227. https://doi.org/10.1007/s00477-014-1012-2
Li, Y., Lin, C., Wang, Y., Gao, X., Xie, T., Hai, R., Zhang, X. (2017) Multi-criteria evaluation method for site selection of industrial wastewater discharge in coastal regions. Journal of Cleaner Production, 161, 1143-1152. https://doi.org/10.1016/j.jclepro.2017.05.030
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P., Clarke, M., Devereaux, P. J., Kleijnen, J., Moher, D. (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS medicine, 6(7) https://doi.org/10.1371/journal.pmed.1000100
Masroor, M., Razavi-Termeh, S. V., Rahaman, M. H., Choudhari, P., Kulimushi, L. C., Sajjad, H. (2023) Adaptive neuro fuzzy inference system (ANFIS) machine learning algorithm for assessing environmental and socio-economic vulnerability to drought: A study in Godavari middle sub-basin, India. Stochastic Environmental Research and Risk Assessment, 37(1), 233-259. https://doi.org/10.1007/s00477-022-02292-1
Nguyen, T. T., Ngo, H. H., Guo, W., Nguyen, H. Q., Luu, C., Dang, K. B., Liu, Y., Zhang, X. (2020) New approach of water quantity vulnerability assessment using satellite images and GIS-based model: An application to a case study in Vietnam. Science of the Total Environment, 737, 139784. https://doi.org/10.1016/j.scitotenv.2020.139784
Ouzzani, M., Hammady, H., Fedorowicz, Z., Ahmed, E. (2016) Rayyan - a web and mobile app for systematic reviews. Systematic Reviews, 210(5) https://doi.org/10.1186/s13643-016-0384-4
Sadeghravesh, M. H., Khosravi, H., Ghasemian, S. (2015) Application of fuzzy analytical hierarchy process for assessment of combating-desertification alternatives in central Iran. Natural hazards, 75, 653-667. https://doi.org/10.1007/s11069-014-1345-7
Salvacion, A. R. (2023) Delineating village-level drought risk in Marinduque Island, Philippines. Natural Hazards, 116(3), 2993-3014. https://doi.org/10.1007/s11069-022-05795-w
Satish Kumar, K., AnandRaj, P., Sreelatha, K., Sridhar, V. (2021) Regional analysis of drought severity‐duration‐frequency and severity‐area‐frequency curves in the Godavari River Basin, India. International Journal of Climatology, 41(12), 5481-5501. https://doi.org/10.1002/joc.7137
Shi, W., Xia, J., Gippel, C. J., Chen, J., Hong, S. (2017) Influence of disaster risk, exposure and water quality on vulnerability of surface water resources under a changing climate in the Haihe River basin. Water International, 42(4), 462-485. https://doi.org/10.1080/02508060.2017.1301143
Sun, F., Kuang, W., Xiang, W., Che, Y. (2016) Mapping water vulnerability of the Yangtze River Basin: 1994–2013. Environmental management, 58, 857-872. https://doi.org/10.1007/s00267-016-0756-5
Van Eck, N. J., Waltman, L. (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
Varis, O., Kummu, M., Salmivaara, A. (2012) Ten major rivers in monsoon Asia-Pacific: An assessment of vulnerability. Applied Geography, 32(2), 441-454. https://doi.org/10.1016/j.apgeog.2011.05.003
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Bunn, S. E. G., Sullivan, C. A., Liermann, C. R., Davies, P. M. (2010) Global threats to human water security and river biodiversity. Nature, 467(7315), 555–561. https://doi.org/10.1038/nature09440
Wijitkosum, S., Sriburi, T. (2019) Fuzzy AHP integrated with GIS analyses for drought risk assessment: A case study from upper Phetchaburi River basin, Thailand. Water, 11(5), 939. https://doi.org/10.3390/w11050939
Wu, B., Ma, Z., Yan, N. (2020) Agricultural drought mitigating indices derived from the changes in drought characteristics. Remote sensing of environment, 244, 111813. https://doi.org/10.1016/j.rse.2020.111813
Zadeh, L. A. (1965) Fuzzy sets. Information and control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zhang, C., Li, J., Zhou, Z., Sun, Y. (2021) Application of ecosystem service flows model in water security assessment: A case study in Weihe River Basin, China. Ecological Indicators, 120, 106974. https://doi.org/10.1016/j.ecolind.2023.110687
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.