A Hybrid Model-Based Adaptive Framework for the Analysis of Climate Change Impact on Reservoir Performance
Tóm tắt
Climate change and population growth have influenced social and physical water scarcity in many regions. Accordingly, the future performance of water storage reservoirs, as one of the fundamental elements in the water resource management, are anticipated to be affected by climate change. This study reports on a framework that can model Reliability-Resiliency-Vulnerability (RRV) measures of water reservoirs in the context of climate change. The framework first develops a hydrological model of a reservoir system using its historical data. The model is then optimised to minimise the water deficit and flooding around the catchment area of the reservoir. The resulting optimal policies are simulated back to the model considering the GCMs. Finally, RRV indices are calculated. RRV indices are effective measures for defining the performance of reservoir systems. Reliability is defined as the probability of the failure of the system, Resiliency is defined as the time needed for the system to go back to its satisfactory state once it entered the failure state, and Vulnerability is defined as the “magnitude of the failure” of a system. The proposed framework has been applied to a reservoir system located in the south-west of Iran on the Dez river. The results show climate change may increase the reliability and resiliency of the system under study while increasing its vulnerability. Therefore, the output of this framework can also provide supplementary information to authorities and decision-makers to inform future water management and planning policies.
Tài liệu tham khảo
Ahmad M, Haie N (2018) Assessing the impacts of population growth and climate change on performance of water use systems and water allocation in Kano river basin, Nigeria. Water 10(12):1766
Akbari-Alashti H, Soncini A, Dinpashoh Y, Fakheri-Fard A, Talatahari S, Bocchiola D (2018) Operation of two major reservoirs of Iran under ipcc scenarios during the xxi century. Hydrol Process 32(21):3254–3271
Arnell NW (2004) Climate change and global water resources: Sres emissions and socio-economic scenarios. Glob Environ Change 14(1):31–52
Asadieh B, Krakauer NY, Fekete BM (2016) Historical trends in mean and extreme runoff and streamflow based on observations and climate models. Water 8(5):189
Asefa T, Clayton J, Adams A, Anderson D (2014) Performance evaluation of a water resources system under varying climatic conditions: reliability, resilience, vulnerability and beyond. J Hydrol 508:53–65
Bellman R (1957) Dynamic programming. Princeton, USA: Princeton University Press 1(2):3
Castelletti A, Pianosi F, Soncini-Sessa R (2008) Water reservoir control under economic, social and environmental constraints. Automatica 44(6):1595–1607
Collins W, Bellouin N, Doutriaux-Boucher M, Gedney N, Halloran P, Hinton T, Hughes J, Jones C, Joshi M, Liddicoat S et al (2011) Development and evaluation of an earth-system model-hadgem2. Geosci Model Dev 4(4):1051–1075
Ehret U, Zehe E, Wulfmeyer V, Warrach-Sagi K, Liebert J (2012) Hess opinions" should we apply bias correction to global and regional climate model data?". Hydrol Earth Syst Sci 16(9):3391–3404
Fazeli Farsani I, Farzaneh M, Besalatpour A, Salehi M, Faramarzi M (2018) Assessment of the impact of climate change on spatiotemporal variability of blue and green water resources under cmip3 and cmip5 models in a highly mountainous watershed. Theor Appl Climatol 1–16
Fowler JE (2005) The redundant discrete wavelet transform and additive noise. IEEE Signal Process Lett 12(9):629–632
French JP, McGinnis S, Schwartzman A (2017) Assessing narccap climate model effects using spatial confidence regions. ASCMO 3(2):67–92
Gent PR, Danabasoglu G, Donner LJ, Holland MM, Hunke EC, Jayne SR, Lawrence DM, Neale RB, Rasch PJ, Vertenstein M, Worley PH, Yang ZL, Zhang M (2011) The community climate system model version 4. J Clim 24(19):4973–4991
Giuliani M, Li Y, Cominola A, Denaro S, Mason E, Castelletti A (2016) A matlab toolbox for designing multi-objective optimal operations of water reservoir systems. Environ Model Softw 85:293–298
Gohari A, Mirchi A, Madani K (2017) System dynamics evaluation of climate change adaptation strategies for water resources management in Central Iran. Water Resour Manag 31(5):1413–1434
Gosling SN, Zaherpour J, Mount NJ, Hattermann FF, Dankers R, Arheimer B, Breuer L, Ding J, Haddeland I, Kumar R et al (2017) A comparison of changes in river run-off from multiple global and catchment-scale hydrological models under global warming scenarios of 1°C, 2°C and 3°C. Clim Change 141(3):577–595
Grothmann T, Patt A (2005) Adaptive capacity and human cognition: the process of individual adaptation to climate change. Glob Environ Change 15(3):199–213
Gu G, Adler RF (2015) Spatial patterns of global precipitation change and variability during 1901-2010. J Clim 28(11):4431–4453
Hallett J (2002) Climate change 2001: the scientific basis. Edited by jt Houghton, y. ding, dj griggs, n. noguer, pj van der linden, d. xiaosu, k. maskell and ca Johnson. Contribution of working group i to the third assessment report of the intergovernmental panel on climate change, Cambridge university press, Cambridge. 2001. 881 pp. isbn 0521 01495 6. Q J R Meteorol Soc 128(581):1038–1039
Harley CD, Randall Hughes A, Hultgren KM, Miner BG, Sorte CJ, Thornber CS, Rodriguez LF, Tomanek L, Williams SL (2006) The impacts of climate change in coastal marine systems. Ecol Lett 9(2):228–241
Hashimoto T, Stedinger JR, Loucks DP (1982) Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. Water Resour Res 18(1):14–20
Hazbavi Z, Baartman JE, Nunes JP, Keesstra SD, Sadeghi SH (2018) Changeability of reliability, resilience and vulnerability indicators with respect to drought patterns. Ecol Indic 87:196–208
Hirabayashi Y, Mahendran R, Koirala S, Konoshima L, Yamazaki D, Watanabe S, Kim H, Kanae S (2013) Global flood risk under climate change. Nat Clim Chang 3(9):816–821
Jain S, Bhunya P (2008) Reliability, resilience and vulnerability of a multipurpose storage reservoir/confiance, résilience et vulnérabilité d’un barrage multi-objectifs. Hydrol Sci J 53(2):434–447
Kjeldsen TR, Rosbjerg D (2001) A framework for assessing the sustainability of a water resources system. In: Regional Management of Water Resources, pp. 107–114
Kumar S, Tiwari MK, Chatterjee C, Mishra A (2015) Reservoir inflow forecasting using ensemble models based on neural networks, wavelet analysis and bootstrap method. Water Resour Manag 29(13):4863–4883
Madani K, AghaKouchak A, Mirchi A (2016) Iran’s socio-economic drought: challenges of a water-bankrupt nation. Iran Stud 49(6):997–1016
Maraun D (2012) Nonstationarities of regional climate model biases in european seasonal mean temperature and precipitation sums. Geophys Res Lett 39(6)
Maraun D, Wetterhall F, Ireson A, Chandler R, Kendon E, Widmann M, Brienen S, Rust H, Sauter T, Themeßl M et al (2010) Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user. Rev Geophys 48(3)
MATLAB (2019) (R2019b). The MathWorks Inc., Natick, Massachusetts, United States
McGinnis S, Nychka D, Mearns LO (2015) A new distribution mapping technique for climate model bias correction. In: Machine learning and data mining approaches to climate science, pp. 91–99
Mekonnen MM, Hoekstra AY (2016) Four billion people facing severe water scarcity. Sci Adv 2(2):e1500323
Nijssen B, O’donnell GM, Hamlet AF, Lettenmaier DP (2001) Hydrologic sensitivity of global rivers to climate change. Clim Chang 50(1–2):143–175
Noble IR, Huq S, Anokhin YA, Carmin J, Goudou D, Lansigan FP, Osman-Elasha B, Villamizar A et al (2014) Adaptation needs and options. Clim Change pp:833–868
Oki T, Kanae S (2006) Global hydrological cycles and world water resources. Science 313(5790):1068–1072
Panofsky HA, Brier GW (1958) Some application of statistics to meteorology. Mineral Industries Extension Services, College of Mineral Industries, Pennsylvania State University, State College
Piccardi C, Soncini-Sessa R (1991) Stochastic dynamic programming for reservoir optimal control: dense discretization and inflow correlation assumption made possible by parallel computing. Water Resour Res 27(5):729–741
Prein AF, Holland GJ, Rasmussen RM, Clark MP, Tye MR (2016) Running dry: the us southwest’s drift into a drier climate state. Geophys Res Lett 43(3):1272–1279
Schewe J, Heinke J, Gerten D, Haddeland I, Arnell NW, Clark DB, Dankers R, Eisner S, Fekete BM, Colón-González FJ, Gosling SN, Kim H, Liu X, Masaki Y, Portmann FT, Satoh Y, Stacke T, Tang Q, Wada Y, Wisser D, Albrecht T, Frieler K, Piontek F, Warszawski L, Kabat P (2014) Multimodel assessment of water scarcity under climate change. Proc Natl Acad Sci 111(9):3245–3250
Sediqi MN, Shiru MS, Nashwan MS, Ali R, Abubaker S, Wang X, Ahmed K, Shahid S, Asaduzzaman M, Manawi SMA (2019) Spatio-temporal pattern in the changes in availability and sustainability of water resources in Afghanistan. Sustainability 11(20):5836
Shafaei M, Kisi O (2016) Lake level forecasting using wavelet-svr, wavelet-anfis and wavelet-Arma conjunction models. Water Resour Manag 30(1):79–97
Shenify M, Danesh AS, Gocić M, Taher RS, Wahab AWA, Gani A, Shamshirband S, Petković D (2016) Precipitation estimation using support vector machine with discrete wavelet transform. Water Resour Manag 30(2):641–652
Soncini-Sessa R, Weber E, Castelletti A (2007) Integrated and participatory water resources management - theory. Elsevier
Sordo-Ward A, Granados A, Iglesias A, Garrote L, Bejarano MD (2019) Adaptation effort and performance of water management strategies to face climate change impacts in six representative basins of southern europe. Water 11(5):1078
Stevens T, Madani K (2016) Future climate impacts on maize farming and food security in Malawi. Sci Rep 6:36241
Stocker T (2014) Climate change 2013: the physical science basis: working group I contribution to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press
Supratid S, Aribarg T, Supharatid S (2017) An integration of stationary wavelet transform and non-linear autoregressive neural network with exogenous input for baseline and future forecasting of reservoir inflow. Water Resour Manag 31(12):4023–4043
Walther GR (2010) Community and ecosystem responses to recent climate change. Philos Trans R Soc Lond Ser B Biol Sci 365(1549):2019–2024
Watanabe M, Suzuki T, O’ishi R, Komuro Y, Watanabe S, Emori S, Takemura T, Chikira M, Ogura T, Sekiguchi M et al (2010) Improved climate simulation by miroc5: mean states, variability, and climate sensitivity. J Clim 23(23):6312–6335
WMO (2009) Recommendations for the verification and intercomparison of qpfs abd pqpfs from operational nwp models
Xu W, Li Q, Jones P, Wang XL, Trewin B, Yang S, Zhu C, Zhai P, Wang J, Vincent L et al (2017) A new integrated and homogenised global monthly land surface air temperature dataset for the period since 1900. Clim Dyn 50(7–8):2513–2536
Zolghadr-Asli B, Bozorg-Haddad O, Chu X (2019) Effects of the uncertainties of climate change on the performance of hydropower systems. J Water Clim Chang 10(3):591–609
Zou H, Liu D, Guo S, Xiong L, Liu P, Yin J, Zeng Y, Zhang J, Shen Y (2020) Quantitative assessment of adaptive measures on optimal water resources allocation by using reliability, resilience, vulnerability indicators. Stoch Environ Res Risk Assess 34(1):103–119