Log in

Changes in reliability–resilience–vulnerability-based watershed health under climate change scenarios in the Efin Watershed, Iran

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Numerous factors, such as the occurrence of climate change and severe droughts, affect the ability of watersheds to provide their expected services. However, the changeability of the watershed health under climate change has not adequately considered. Accordingly, the Reliability (Rel), Resilience (Res), and Vulnerability (Vul) of the Efin Watershed to drought due to climate change have been evaluated in the present study. To this end, the current climatic data of three rainfall stations for the period of 2006–2020 and the rainfall data of the two climatic scenarios of the Representative Concentration Pathways (RCPs) 4.5 and 8.5 of the second generation Canadian Earth System Model (CanESM2) related to the report five of the Intergovernmental Panel on Climate Change for the period of 2027–2055 were used. The rainfall data were initially extracted and then, downscaled using the data modification method of the mentioned scenarios and based on the Inverse Weighted Distance (IDW) method at the sub-watershed scale. Drought characteristics in the study area were then determined using the monthly Standardized Precipitation Index (SPI). Rel, Res, and Vul indices were then calculated employing the geometric mean for different sub-watersheds in the base and future periods. The results showed that rainfall under climate change scenarios RCPs 4.5 and 8.5 from 2027 through 2055 would increase by 31.74 and 29.79%, respectively. Mean Rel, Res, and Vul indices in the base period were estimated at 0.73, 0.52, and 0.34, which would change to 0.73, 0.56, and 0.29 under RCP4.5 and 0.74, 0.53, and 0.27 under RCP8.5. It was further found that the overall watershed health index would decrease from 0.46 to 0.42 under the RCP4.5 climate scenario and 0.43 under the RCP8.5 climate scenario. The present findings would help watershed managers and decision-makers adopt necessary managerial measures.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Thailand)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Data availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

References

  • Ahmadi A, Manoochehri S (2020) Analysis of effects of environmental risks (drought) on sustainability of rural livelihood (case study: villages of Ghaenat city). Geogr Dev 18:175–202

    Google Scholar 

  • Ahn SR, Kim SJ (2019) Assessment of watershed health, vulnerability, and resilience for determining protection and restoration priorities. Environ Model Softw 122:103926

    Article  Google Scholar 

  • Alilou H, Rahmati O, Singh VP, Choubin B, Pradhan B, Keesstra S, Sadeghi SHR (2019) Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria. J Environ Manage 232:22–36

    Article  Google Scholar 

  • Bera B, Shit PK, Sengupta N, Saha S, Bhattacharjee S (2021) Trends and variability of drought in the extended part of Chhota Nagpur plateau (Singbhum Protocontinent), India applying SPI and SPEI indices. Environ Chall 5:100310

    Article  Google Scholar 

  • Chen W, Zhu D, Huang C, Ciais P, Yao Y, Friedlingstein P, Sitch S, Haverd V, Jain A, Kato E, Kautz M, Lienert S, Lombardozzi D, Poulter B, Tian H, Vuichard N, Walker A, Zeng N (2019) Negative extreme events in gross primary productivity and their drivers in China during the past three decades. Agric for Meteorol 275:47–58

    Article  Google Scholar 

  • Cravens AW, Henderson J, Friedman J, Burkardt N, Cooper AE, Haigh T, Hayes M, McEvoy J, Paladino S, Wilke AK, Wilmer H (2021) A typology of drought decision making: synthesizing across cases to understand drought preparedness and response actions. Weather Clim Extremes 33:100362

    Article  Google Scholar 

  • Ervinia A, Huang J, Huang Y, Lin J (2019) Coupled effects of climate variability and land use pattern on surface water quality: an elasticity perspective and watershed health indicators. Sci Total Environ 693:133592

    Article  Google Scholar 

  • Golmohammadi F, Arazmjoo M, Razavi SH (2012) Investigating importance and effects of climate changes in agriculture in South Khorasan Province and recognizing appropriate extension education activities in confronting them. In: International conference on applied life sciences, applied life sciences (ICALS2012) Turkey, 10–12 Sept, pp 381–386

  • Hamel P, Riveros-Iregui D, Ballari D, Browning T, Célleri R, Chandler D, Chun KP, Destouni G, Jacobs S, Jasechko S, Johnson M, Krishnaswamy J, Poca M, Pompeu PV, Rocha H (2018) Watershed services in the humid tropics: opportunities from recent advances in ecohydrology. Ecohydrology 11:1–42

    Article  Google Scholar 

  • Han ZM, Huang SZ, Huang Q, Leng G, Wang H, He L, Fang W, Li P (2019) Assessing GRACE-based terrestrial water storage anomalies dynamics at multi-timescales and their correlations with teleconnection factors in Yunnan Province, China. J Hydrol 574:836–850

    Article  Google Scholar 

  • Hashimoto T, Loucks DP, Stedinger J (1982) Reliability, resilience, and vulnerability for water resources system performance evaluation. Water Resour Res 18:14–20

    Article  Google Scholar 

  • Hazbavi Z, Sadeghi SHR (2017) Watershed health characterization using reliability–resilience–vulnerability conceptual framework based on hydrological responses. Land Degrad Dev 28:1528–1537

    Article  Google Scholar 

  • Hazbavi Z, Baartman JEM, Nunes JP, Keesstra SD, Sadeghi SHR (2018a) Changeability of reliability, resilience, and vulnerability indicators with respect to drought patterns. Ecol Ind 87:196–208

    Article  Google Scholar 

  • Hazbavi Z, Keesstra SD, Nunes JP, Baartman JEM, Gholamalifard M, Sadeghi SHR (2018b) Health comparative comprehensive assessment of watersheds with different climates. Ecol Ind 93:781–790

    Article  Google Scholar 

  • Hazbavi Z, Sadeghi SHR, Gholamalifard M, Davudirad AA (2019) Watershed health assessment using the pressure–state–response (PSR) framework. Land Degrad Dev 31:3–19

    Article  Google Scholar 

  • Hosseini A, Ghavidel Y, Khorshiddoust AM, Farajzadeh M (2020) Spatio-temporal analysis of dry and wet periods in Iran by using Global Precipitation Climatology Center-Drought Index (GPCC-DI). Theor Appl Climatol. https://doi.org/10.1007/s00704-020-03463-2

    Article  Google Scholar 

  • Hosseini A, Ghavidel Y, Farajzadeh M (2021) Characterization of drought dynamics in Iran by using S-TRACK method. Theor Appl Climatol 145:661–671

    Article  Google Scholar 

  • Hui R, Herman J, Lund J, Madani K (2018) Adaptive water infrastructure planning for no stationary hydrology. Adv Water Resour 118:83–94

    Article  Google Scholar 

  • IPCC (2013) Climate change 2013: the physical science basis. Contribution of Working Group I to the 5th assessment report of the Intergovernmental Panel on Climate Change Cambridge University Press, Cambridge, UK and New York, NY, USA

  • Li Y, Lu H, Yang K, Wang W, Tang Q, Khem S, Yang F, Huang Y (2021) Meteorological and hydrological droughts in Mekong River Basin and surrounding areas under climate change. J Hydrol: Reg Stud 36:100873

    Google Scholar 

  • Liu Y, Zhou R, Wen Z, Khalifa M, Zheng C, Ren H, Zhang Z, Wang Z (2021) Assessing the impacts of drought on net primary productivity of global land biomes in different climate zones. Ecol Ind 130:108146

    Article  Google Scholar 

  • Luo WT, Zuo XA, Ma W, Xu C, Li A, Yu Q, Knapp AK, Tognetti R, Dijkstra FA, Li MH, Han GD, Wang ZW, Han XG (2018) Differential responses of canopy nutrients to experimental drought along a natural aridity gradient. Ecology 99:2230–2239

    Article  Google Scholar 

  • Luo WT, Zuo XA, Griffin-Nolan RJ, Xu C, Ma W, Song L, Helsen K, Lin YC, Cai JP, Yu Q, Wang ZW, Smith MD, Han XG, Knapp AK (2019) Long term experimental drought alters community plant trait variation, not trait means, across three semiarid grasslands. Plant Soil 442:343–353

    Article  Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th conference on applied climatology. American Meteorological Society, Boston, MA, pp 179–183

  • Milly PCD, Betancourt J, Falkenmark M, Hirsch RM, Kundzewicz ZW, Lettenmaier DP, Krysanova V (2015) On critiques of “stationarity is dead: water management? Water Resour Res 51:7785–7789

    Article  Google Scholar 

  • Mosaffaie J, Salehpour Jam A (2018) Economic assessment of the investment in soil and water conservation projects of watershed management. Arab J Geosci 11:2–10

    Article  Google Scholar 

  • Mosaffaie J, Salehpour Jam A, Tabatabaei MR, Kousari MR (2021) Trend assessment of the watershed health based on DPSIR framework. Land Use Policy 100:104911

    Article  Google Scholar 

  • Nedealcov M, Răileanu V, Sirbu R, Cojocari R (2015) The use of standardized indicators (SPI and SPEI) In predicting droughts over the Republic of Moldova territory. Present Environ Sustain Dev 2:149–158

    Article  Google Scholar 

  • NOAA National Centers for Environmental Information (2020) U.S. billion-dollar weather and climate disasters

  • Peng J, Wu C, Zhang X, Wang X, Gonsamo A (2019) Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere. Glob Change Biol 25:2174–2188

    Article  Google Scholar 

  • Ren K, Huang S, Huang Q, Wang H, Leng G, Fang W, Li P (2020) Assessing the reliability, resilience and vulnerability of water supply system under multiple uncertain sources. J Clean Prod 252:119806

    Article  Google Scholar 

  • Sadeghi SHR, Hazbavi Z (2017) Spatiotemporal variation of watershed health propensity through reliability–resilience–vulnerability based drought index (case study: Shazand Watershed in Iran). Sci Total Environ 587:168–176

    Article  Google Scholar 

  • Sadeghi SHR, Hazbavi Z, Gholamalifard M (2019) Interactive impacts of climatic, hydrologic, and anthropogenic activities on watershed health. Sci Total Environ 648:880–893

    Article  Google Scholar 

  • Sanchez GM, Nejadhashemi AP, Zhang Z, Marquart-Pyatt S, Habron G, Shortridge A (2015) Linking watershed-scale stream health and socioeconomic indicators with spatial clustering and structural equation modeling. Environ Model Softw 70:113–127

    Article  Google Scholar 

  • Shahidi A, Khashei A, Nejati M (2017) Assess the impact of climate change on the hydrological drought in Southern Khorasan Province, Iran. In: IEEA’17, 29–31 March 2017, Jeju, Republic of Korea, pp 38–42

  • Sisay Tefera A, Ayoade JO, Bello NJ (2019) Comparative analyses of SPI and SPEI as drought assessment tools in Tigray Region, Northern Ethiopia. SN Appl Sci 1:1265

    Article  Google Scholar 

  • Sun R, Yao P, Wang W, Yue B, Liu G (2019) Assessment of wetland ecosystem health in the Yangtze and Amazon River Basins. Int J Geo-Inf 6:2–14

    Google Scholar 

  • Teutschbein C, Seibert J (2012) Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods. J Hydrol 456:12–29

    Article  Google Scholar 

  • Tirivarombo S, Osupile D, Eliasson P (2018) Drought monitoring and analysis: Standardized Precipitation Evapotranspiration Index [SPEI] and Standardized Precipitation Index [SPI]. Phys Chem Earth Parts a/b/c 106:1–10

    Article  Google Scholar 

  • Wang M, Jiang S, Ren L, Xu CY, Menzel L, Yuan F, Liu Y, Yang X (2021) Separating the effects of climate change and human activities on drought propagation via a natural and human-impacted catchment comparison method. J Hydrol 603:126913

    Article  Google Scholar 

  • Webster R, Oliver MA (1993) How large a sample is needed to estimate the regional variogram adequately? Geostat Tróia 92:155–166

    Article  Google Scholar 

  • Wilke AK, Morton LW (2017) Analog years: connecting climate science and agricultural tradition to better manage landscapes of the future. Clim Risk Manag 15:32–44

    Article  Google Scholar 

  • Won J, Choi J, Lee O, Kim S (2020) Copula-based Joint Drought Index using SPI and EDDI and its application to climate change. Sci Total Environ 744:140701

    Article  Google Scholar 

  • Xu HJ, Wang XP, Zhao CY, Yang XM (2018) Diverse responses of vegetation growth to meteorological drought across climate zones and land biomes in northern China from 1981 to 2014. Agric for Meteorol 262:1–13

    Article  Google Scholar 

  • Yue XY, Zuo XA, Yu Q, Xu C, Lv P, Zhang J, Knapp AK, Smith MD (2019) Response of plant functional traits of Leymus chinensis to extreme drought in Inner Mongolia grasslands. Plant Ecol 220:141–149

    Article  Google Scholar 

  • Zeng P, Sun F, Liu Y, Che Y (2020a) Future river basin health assessment through reliability–resilience–vulnerability: thresholds of multiple dryness conditions. Sci Total Environ 741:140395

    Article  Google Scholar 

  • Zeng P, Sun F, Liu Y, Che Y (2020b) Future river basin health assessment through reliability–resilience vulnerability: thresholds of multiple dryness conditions. Sci Total Environ 1:1–63

    Google Scholar 

  • Zhang G, Su X, Singh VP, Ayantobo OO (2021) Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios. J Hydrol: Reg Stud 37:100898

    Google Scholar 

  • Zhao A, Zhang A, Cao S, Liu X, Liu J, Cheng D (2018) Responses of vegetation productivity to multi-scale drought in Loess Plateau, China. CATENA 163:165–171

    Article  Google Scholar 

Download references

Funding

No funding was received for this study. The work was thoroughly supported by Tarbiat Modares University for the Ph.D. Dissertation of the first author. The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

RC analyzed data and drafted the manuscript; MV assisted in running the program and revising manuscript; SHS contributed in methodology and revising manuscript.

Corresponding authors

Correspondence to Mehdi Vafakhah or Seyed Hamidreza Sadeghi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Human and animal rights

This article does not contain any studies with animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chamani, R., Vafakhah, M. & Sadeghi, S.H. Changes in reliability–resilience–vulnerability-based watershed health under climate change scenarios in the Efin Watershed, Iran. Nat Hazards 116, 2457–2476 (2023). https://doi.org/10.1007/s11069-022-05774-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-022-05774-1

Keywords

Navigation