nach oben

Water Resources Management

Erschienen in:

25.11.2020

Analysis of Meteorological Drought Resilience and Risk Assessment of Groundwater Using Signal Analysis Method

verfasst von: Yuan-Chien Lin, En-Dian Kuo, Wan-Ju Chi

Erschienen in: Water Resources Management | Ausgabe 1/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Groundwater plays an important role in mitigating drought. It is necessary to analyze the spatiotemporal variation characteristics of groundwater and establish an appropriate assessment for the risk of drought for disaster prevention. This study developed a novel approach for the drought risk assessment system based on the Hilbert Huang Transform (HHT) method to understand the spatial distribution of the risk of drought in terms of groundwater. We analyzed drought vulnerability applying the HHT to analyze the variation characteristics of groundwater level spatiotemporally and the physical mechanism of groundwater factors to quantify groundwater sensitivity to the environment, and present the resilience of each region. Furthermore, the drought hazard was determined using the standardized precipitation index and the dynamic drought intensity gave the durability characteristics of each region. The drought exposure was also investigated, which quantifies the water demand to satisfy people’s livelihoods for a certain population density. Based on the framework proposed in this study, an overall risk map of droughts in the Pingtung Plain was obtained. This study effectively classified the main time–frequency characteristics, the availability of groundwater, and the risk of drought in each region. A total of 11 of the 45 groundwater monitoring stations are located at the highest risk of level 5, most of which are located in the coastal area of Gaoping River and Linbian River. Over-pumping should be avoided in these areas. On the contrary, the alluvial fan area showed the lowest groundwater risk of drought. The results can be adopted for water management, drought resilience, sustainable development of groundwater resources, and decision making in determining drought risk.

Vorheriger Artikel Evaluation and Comparison of the Effectiveness Rate of the Various Meteorological Parameters on UNEP Aridity Index Using Backward Multiple Ridge Regression

Nächster Artikel Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

(WMO), W. M. O., & (GWP), G. W. P. (2014). National Drought Management Policy Guidelines: a template for action (D.A. Wilhite). Integrated drought management Programme (IDMP) tools and guidelines series 1. WMO, Geneva, Switzerland and GWP, Stockholm, Sweden

Ahmadalipour A, Moradkhani H (2018) Multi-dimensional assessment of drought vulnerability in Africa: 1960-2100. Sci Total Environ 644:520–535CrossRef

Ahmadalipour A, Moradkhani H, Castelletti A, Magliocca N (2019) Future drought risk in Africa: integrating vulnerability, climate change, and population growth. Sci Total Environ 662:672–686CrossRef

Bonaccorso B, Bordi I, Cancelliere A, Rossi G, Sutera A (2003) Spatial variability of drought: an analysis of the SPI in Sicily. Water Resour Manag 17(4):273–296. https://doi.org/10.1023/a:1024716530289CrossRef

Bredehoeft JD (1967) Response of well-aquifer systems to earth tides. J Geophys Res 72(12):3075–3087CrossRef

Chen, C.-H., Wang, C.-H., Liang, W.-T., Yeh, Y.-H., Liu, J.-Y., Liu, C., . . . Wang, Y. (2010). Identification of earthquake signals from groundwater level records using the HHT method. Geophys J Int, 180(3), 1231–1241. https://doi.org/10.1111/j.1365-246X.2009.04473.x

Chen S, Cowan CF, Grant PM (1991) Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans Neural Netw 2(2):302–309CrossRef

Chen, Y.-R., Chen, W.-B., Lin, Y.-C., Liou, P.-L., Shih, H.-R., Su, Y.-F., . . . Jhang, J.-S. (2014). National science & technology center for disaster reduction - risk maps of disaster under climate change

Chu, J.-L., Liou, J.-J., Lin, S.-Y., Chu, Y.-C., Chen, Y.-J., & Chen, Y.-M. (2015). National science and technology center for disaster reduction - development of monitoring and warning system on drought

Cuthbert MO, Gleeson T, Moosdorf N, Befus KM, Schneider A, Hartmann J, Lehner B (2019) Global patterns and dynamics of climate–groundwater interactions. Nat Clim Chang 9(2):137–141. https://doi.org/10.1038/s41558-018-0386-4CrossRef

Dätig M, Schlurmann T (2004) Performance and limitations of the Hilbert–Huang transformation (HHT) with an application to irregular water waves. Ocean Eng 31(14):1783–1834. https://doi.org/10.1016/j.oceaneng.2004.03.007CrossRef

Du J, Fang J, Xu W, Shi P (2013) Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province, China. Stoch Env Res Risk A 27(2):377–387. https://doi.org/10.1007/s00477-012-0589-6CrossRef

Field, C. B., Barros, V., Stocker, T. F., & Dahe, Q. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change: Cambridge University press

Giannikopoulou AS, Gad FK, Kampragou E, Assimacopoulos D (2017) Risk-based assessment of drought mitigation options: the case of Syros Island, Greece. Water Resour Manag 31(2):655–669. https://doi.org/10.1007/s11269-015-1057-0CrossRef

Hall J, Murphy C (2010) Vulnerability analysis of future public water supply under changing climate conditions: a study of the Moy catchment, Western Ireland. Water Resour Manag 24(13):3527–3545CrossRef

Houngbo, G. F. (2018). The United Nations world water development report 2018: nature-based solutions for water. In: UNESCO

Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., . . . Liu, H. H. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 454(1971), 903-995. https://doi.org/10.1098/rspa.1998.0193

Huang NE, Wu M-L, Qu W, Long SR, Shen SSP (2003) Applications of Hilbert–Huang transform to non-stationary financial time series analysis. Appl Stoch Model Bus Ind 19(3):245–268. https://doi.org/10.1002/asmb.501CrossRef

Huang NE, Wu Z (2008) A review on Hilbert-Huang transform: method and its applications to geophysical studies. Rev Geophys 46(2). https://doi.org/10.1029/2007rg000228

Jang C-S, Chen C-F, Liang C-P, Chen J-S (2016) Combining groundwater quality analysis and a numerical flow simulation for spatially establishing utilization strategies for groundwater and surface water in the Pingtung plain. J Hydrol 533:541–556. https://doi.org/10.1016/j.jhydrol.2015.12.023CrossRef

Janga Reddy M, Adarsh S (2016) Time–frequency characterization of sub-divisional scale seasonal rainfall in India using the Hilbert–Huang transform. Stoch Env Res Risk A 30(4):1063–1085. https://doi.org/10.1007/s00477-015-1165-7CrossRef

Kang H, Sridhar V (2017) Combined statistical and spatially distributed hydrological model for evaluating future drought indices in Virginia. Journal of Hydrology-Regional Studies 12:253–272CrossRef

Kang H, Sridhar V (2018) Assessment of future drought conditions in the Chesapeake Bay watershed. J Am Water Resour Assoc 54(1):160–183CrossRef

Lin Y-P, Chen Y-W, Chang L-C, Yeh M-S, Huang G-H, Petway JR (2017) Groundwater simulations and uncertainty analysis using MODFLOW and Geostatistical approach with conditioning multi-aquifer spatial covariance. Water 9(3):164CrossRef

McKee, T. B., Doesken, N. J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. Paper presented at the proceedings of the 8th conference on applied climatology

McKee TBN, Doeskin JN, Kleist J (1995) Drought Monitoring With Multiple Time Scales

Naresh Kumar M, Murthy C, Sesha Sai M, Roy P (2009) On the use of standardized precipitation index (SPI) for drought intensity assessment. Meteorol Appl 16(3):381–389CrossRef

Oh Y-Y, Yun S-T, Yu S, Hamm S-Y (2017) The combined use of dynamic factor analysis and wavelet analysis to evaluate latent factors controlling complex groundwater level fluctuations in a riverside alluvial aquifer. J Hydrol 555:938–955. https://doi.org/10.1016/j.jhydrol.2017.10.070CrossRef

Oki T, Kanae S (2006) Global hydrological cycles and world water resources. Science 313(5790):1068–1072. https://doi.org/10.1126/science.1128845CrossRef

Orr MJ (1996). Introduction to radial basis function networks. In: Technical Report, center for cognitive science, University of Edinburgh

Pachauri RK, Allen MR, Barros VR, Broome J, Cramer W, Christ R, . . . Dasgupta P (2014) Climate change 2014: synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change: Ipcc

Park J, Sandberg IW (1993) Approximation and radial-basis-function networks. Neural Comput 5(2):305–316CrossRef

Parry M, Parry ML, Canziani O, Palutikof J, Van der Linden P, Hanson C (2007) Climate change 2007-impacts, adaptation and vulnerability: Working group II contribution to the fourth assessment report of the IPCC (Vol. 4): Cambridge University press

Roeloffs EA (1988) Hydrologic precursors to earthquakes: a review. Pure Appl Geophys 126(2–4):177–209CrossRef

Shahid S, Hazarika MK (2010) Groundwater drought in the northwestern districts of Bangladesh. Water Resour Manag 24(10):1989–2006. https://doi.org/10.1007/s11269-009-9534-yCrossRef

Shiau JT, Hsiao YY (2012) Water-deficit-based drought risk assessments in Taiwan. Nat Hazards 64(1):237–257CrossRef

Shiklomanov IA, Rodda JC (2004) World water resources at the beginning of the twenty-first century: Cambridge University press

Studies D, o. A. B. o. C. C. f. R., & Inc., S. V. P. o. R. (2015) Lloyd's city risk index 2015–2025

Svoboda, M., & Fuchs, B. (2016). Handbook of drought indicators and indices

Svoboda M, Hayes M, Wood D (2012) Standardized precipitation index user guide. World Meteorological Organization Geneva, Switzerland

Taylor RG, Scanlon B, Döll P, Rodell M, van Beek R, Wada Y, Longuevergne L, Leblanc M, Famiglietti JS, Edmunds M, Konikow L, Green TR, Chen J, Taniguchi M, Bierkens MFP, MacDonald A, Fan Y, Maxwell RM, Yechieli Y, Gurdak JJ, Allen DM, Shamsudduha M, Hiscock K, Yeh PJF, Holman I, Treidel H (2012) Ground water and climate change. Nat Clim Chang 3:322–329. https://doi.org/10.1038/nclimate1744CrossRef

Van der Kamp G, Gale J (1983) Theory of earth tide and barometric effects in porous formations with compressible grains. Water Resour Res 19(2):538–544CrossRef

Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23(7):1696–1718CrossRef

Wada Y, van Beek LPH, van Kempen CM, Reckman JWTM, Vasak S, Bierkens MFP (2010) Global depletion of groundwater resources. Geophys Res Lett 37(20). https://doi.org/10.1029/2010gl044571

Wilhite DA, Svoboda MD, Hayes MJ (2007) Understanding the complex impacts of drought: a key to enhancing drought mitigation and preparedness. Water Resour Manag 21(5):763–774. https://doi.org/10.1007/s11269-006-9076-5CrossRef

Wu H, Qian H, Chen J, Huo C (2017) Assessment of agricultural drought vulnerability in the Guanzhong plain, China. Water Resour Manag 31(5):1557–1574. https://doi.org/10.1007/s11269-017-1594-9CrossRef

Yang H, Wang H, Fu G, Yan H, Zhao P (2018) Evaluation of HHT approach for estimating agricultural drought trend and frequency based on modified soil water deficit index (MSWDI). Theor Appl Climatol 137:1825–1842. https://doi.org/10.1007/s00704-018-2688-xCrossRef

Yevjevich VM (1967) An objective approach to definitions and investigations of continental hydrologic droughts. Hydrology papers (Colorado State University); no. 23

Yu H-L, Lin Y-C (2015) Analysis of space–time non-stationary patterns of rainfall–groundwater interactions by integrating empirical orthogonal function and cross wavelet transform methods. J Hydrol 525:585–597CrossRef

Yu P-S, Chen S-T (2009) National science council project reports - adaptation of climate change to disaster prevention and control and integration of response strategies - trend and variability of drought in Taiwan (I~III) (In Chinese)

Titel: Analysis of Meteorological Drought Resilience and Risk Assessment of Groundwater Using Signal Analysis Method
verfasst von: Yuan-Chien Lin
En-Dian Kuo
Wan-Ju Chi
Publikationsdatum: 25.11.2020
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 1/2021
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-020-02718-x

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Weitere Artikel der Ausgabe 1/2021

Effective Optimization-Simulation Model for Flood Control of Cascade Barrage Network

Developing MSA Algorithm by New Fitness-Distance-Balance Selection Method to Optimize Cascade Hydropower Reservoirs Operation

Enhanced Water Management for Muang Fai Irrigation Systems through Remote Sensing and SWOT Analysis

Resilient Drinking Water Resources

Water Conflict Management between Agricultural and Wetland under Climate Change: Application of Economic-Hydrological-Behavioral Modelling

Evaluation and Comparison of the Effectiveness Rate of the Various Meteorological Parameters on UNEP Aridity Index Using Backward Multiple Ridge Regression