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Multi—Objective Reservoir Operation Optimization by Considering Ecosystem Sustainability and Ecological Targets

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Abstract

In this study, variations of macroinvertebrates are considered as a criterion for assessing biological diversity and ecosystem health in the downstream reach of a river-reservoir system. Unlike most of the previous studies, this biological diversity index is then used in a multi-objective reservoir operation optimization model as an objective function instead of a constraint. Two objectives of supplying water demand and ecological diversity were maximized for the case of the Aboulabbas Dam in Khuzestan Province in southwest of Iran. Based on the historical records of water quality and macroinvertebrate samples, a relationship between these two parameters was used in the optimization model formulation. Evaluation of the results in a 10-year period and comparison with single-objective optimization shows that using the proposed methodology, the biodiversity and ecosystem health has been improved while achieving an acceptable level of water supply reliability.

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References

  • Azadnia A, Zahraie B (2010) Optimization of nonlinear muskingum method with variable parameters using multi-objective particle swarm optimization. World Environ Water Resour Congr pp. 2278–2284

  • Azrina MZ, Yap CK, Rahim Ismail A, Ismail A, Tan SG (2006) Anthropogenic impacts on the distribution and biodiversity of benthic macroinvertebrates and water quality of the Langat River, Peninsular Malaysia. Ecotoxicol Environ Saf 64:337–347

  • Balter AM, Fontane DG (2006) A generalized multiobjective particle swarm optimization solver for spreadsheet models: application to water quality. In: Proc Int Conf Comput Decis Mak Civ Building Eng Montr pp.1544–1552

  • Baron JS, Poff NL, Angermeier PL, Dahm CN, Gleick PH, Hairston NG, Jackson RB, Johnston CA, Richter BD, Steinmam AD (2002) Meeting ecological and societal needs for freshwater. Ecol Appl 12:1247–1260

  • Chen Y, Wang M, Zhang Y, Lu Y, Xu B, Yu L (2023) Cascade hydropower system operation considering ecological flow based on different multi-objective genetic algorithms. Water Resour Manag pp. 1–18

  • Czeniawska-Kusza I (2005) Comparing modified biological monitoring working party score system and several biological indices based on macroinvertebrates for water quality assessment. Limnologica 35:169–176

    Article  Google Scholar 

  • Derepasko D, Guillaume JH, Horne AC, Volk M (2021) Considering scale within optimization procedures for water management decisions: Balancing environmental flows and human needs. Environ Model Softw 139:104991

    Article  Google Scholar 

  • Dhar A, Datta B (2008) Optimal operation of reservoirs for downstream water quality control using linked simulation optimization. Hydrol Process 22(6):842–853

  • Ding ZY, Fang GH, Wen X et al (2020) Cascaded hydropower operation chart optimization balancing overall ecological benefits and ecological conservation in hydrological extremes under climate change. Water Resour Manage 34(3):1231–1246

    Article  Google Scholar 

  • Ertaş A, Yorulmaz B (2022) Comparative Performance of the Indices Used for Bioassessment of Water Quality of Sangı Stream (West Anatolia, Turkey). Russ J Ecol 53(4):318–327

    Article  Google Scholar 

  • Gallardo B, Gascón S, Quintana X, Comín FA (2011) How to choose a biodiversity indicator – redundancy and complementarity of biodiversity metrics in a freshwater ecosystem. Ecol Indic 11:1177–1184

    Article  Google Scholar 

  • Gill MK, Kaheil YH, Khalil A, McKee M, Bastidas L (2006) Multiobjective Particle Swarm Optimization for Parameter Estimation in Hydrology, Water Resour Res 42(W07417):14

  • Homa ES, Vogel RM, Smith MP, Apse CD, Huber-Lee A, Sieber J (2005) An optimization approach for balancing human and ecological flow needs. In Proc EWRI 2005 World Water Environ Resour Congr ASCE Anchorage Alsk

  • Iliopoulou-Georgudaki J, Kantzaris V, Katharios P, Kaspiris P, Georgiadis Th, Montesantou B (2003) An application of different bioindicators for assessing water quality: a case study in the rivers alfeios and pineios. Ecol Indic 2:345–360

    Article  CAS  Google Scholar 

  • Jager HI, Smith BT (2008) Sustainable reservoir operation: can we generate hydropower and preserve ecosystem values? River Res Appl 24:340–352

    Article  Google Scholar 

  • Korsgaard L (2006) Environmental flows in integrated water resources management: linking flows. services, and values. Ph.D. Thesis, Institute of Environment & Resources, Technical University of Denmark

  • Labadie JW (2004) Optimal operation of multireservoir systems: State-of-the-art review. J Water Res Plan Manage ASCE 130(2):93–111

    Article  Google Scholar 

  • Latha C, Thanga VSG (2010) Macroinvertebrate diversity of veli and kadinamkulam lakes, South Kerala, India. J Environ Biol 547(July):543–547

  • Leslie AW, Lamp WO (2017) Taxonomic and functional group composition of macroinvertebrate assemblages in agricultural drainage ditches. Hydrobiologia 787:99–110. https://doi.org/10.1007/s10750-016-2947-8

    Article  CAS  Google Scholar 

  • Li Z, Zeng B (2020) Health assessment of important tributaries of Three Georges Reservoir based on the benthic index of biotic integrity. Sci Rep 10(1):1–11

    ADS  Google Scholar 

  • Mansouri M, Safavi HR, Rezaei F (2022) An improved MOPSO algorithm for multi-objective optimization of reservoir operation under climate change. Environ Monit Assess 194(4):261

    Article  PubMed  Google Scholar 

  • Mo C, Zhao S, Ruan Y, Liu S, Lei X, Lai S, Sun G, Xing Z (2022) Research on reservoir optimal operation based on long-term and mid-long-term nested models. Water 14(4):608

  • Murphy CA, Johnson SL, Gerth W, Pierce T, Taylor G (2021) Unintended consequences of selective water withdrawals from reservoirs alter downstream macroinvertebrate communities. Water Resour Res 57(6):p.e2020WR029169

  • Poff NL, Allan JD, Bain MB, Karr JR, Prestegaard KL, Richter BD, Sparks RE (1997) The natural flow regime. Bioscience 47:769–784

    Article  Google Scholar 

  • Raquel CR, Naval Jr PC (2005) An effective use of crowding distance in multiobjective particle swarm optimization. In Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation 257–264

  • Reddy MJ, Kumar DN (2007) Multi-objective particle swarm optimization for generating optimal trade-offs in reservoir operation. Hydrol Process 21:2897–2909

  • Rosenberg DM, Collogues (1999) Benthic macrointervebrates in fresh waters. Protoc Meas Biodivers p.42

  • Saadatpour M, Afshar A (2013) Multi objective simulation-optimization approach in pollution spill response management model in Reservoirs. Water Resour Manage 27(6):1851–1865

    Article  Google Scholar 

  • Sedighkia M, Abdoli A (2022) Optimizing environmental flow regime by integrating river and reservoir ecosystems. Water Resour Manage 36(6):2079–2094

    Article  Google Scholar 

  • Sedighkia M, Badrzadeh N, Fathi Z, Abdoli A, Datta B (2023) An integrated simulation–optimization framework for assessing environmental flows in rivers. Environ Monit Assess 195(2):292

    Article  PubMed  PubMed Central  Google Scholar 

  • Sofi MS, Bhat SU, Rashid I, Kuniyal JC (2020) The natural flow regime: A master variable for maintaining river ecosystem health. Ecohydrology 13(8):e2247

  • Suen JP, Eheart JW (2006) Reservoir management to balance ecosystem and human needs: Incorporating the paradigm of the ecological flow regime”. Water Resour Res 423:W03417

    ADS  Google Scholar 

  • Tampo L, Lazar IM, Kaboré I, Oueda A, Akpataku KV, Djaneye-Boundjou G, Bawa LM, Lazar G, Guenda W (2020) A multimetric index for assessment of aquatic ecosystem health based on macroinvertebrates for the Zio river basin in Togo. Limnologica 83:125783

    Article  CAS  Google Scholar 

  • Taylor BR, Baily RC (1997) Technical evaluation on methods for benthic invertebrates. Data Anal Min Energy Technol p.93

  • Wilsey B, Stirling G (2007) Species richness andevenness respond in a different manner topropagule density in developing prairiemicrocosm communities. Plant Ecol 19:259–273

    Article  Google Scholar 

  • Xu C, Xu Z, Yang Z (2020) Reservoir operation optimization for balancing hydropower generation and biodiversity conservation in a downstream wetland. J Clean Prod 245:118885

    Article  Google Scholar 

  • Yang Z, Yang K, Hu H, Su L (2019) The cascade reservoirs multi-objective ecological operation optimization considering different ecological flow demand. Water Resour Manage 33:207–228

    Article  Google Scholar 

  • Yazdian H, Jaafarzadeh N, Zahraie B (2014) Relationship between Bio Indices and Physicochemical Parameters of Water: A Tool for Water Resources Managers. J Environ Health Technol 30(12):1–21

    Google Scholar 

  • Zhang Z, Yao HQL, Liu Y, Jiang Z, Feng Z, Ouyang S (2020) Improved multi-objective moth-flame optimization algorithm based on R-domination for cascade reservoirs operation. J Hydrol 581:124431

    Article  Google Scholar 

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Civil Engineering, Department of Civil and Transportation Engineering, University of Isfahan, Isfahan, Iran

    Hamed Yazdian

  2. School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Banafsheh Zahraie

  3. Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

    Neamatollah Jaafarzadeh

Authors
  1. Hamed Yazdian
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  2. Banafsheh Zahraie
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  3. Neamatollah Jaafarzadeh
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Contributions

All authors contributed to the study conception and design: research conceptualization, Hamed Yazdian and Neamatollah Jaafarzadeh; formal analysis and data curation, Hamed Yazdian; result analysis, Hamed Yazdian and Banafsheh Zahraie, writing—original draft preparation, Hamed Yazdian.; review and editing Banafsheh Zahraie and Neamatollah Jaafarzadeh.

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Correspondence to Hamed Yazdian.

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Yazdian, H., Zahraie, B. & Jaafarzadeh, N. Multi—Objective Reservoir Operation Optimization by Considering Ecosystem Sustainability and Ecological Targets. Water Resour Manage 38, 881–892 (2024). https://doi.org/10.1007/s11269-023-03693-9

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