| تعداد نشریات | 283 |
| تعداد نشریات سازمان | 81 |
| تعداد شماره‌ها | 2,766 |
| تعداد مقالات | 31,497 |
| تعداد مشاهده مقاله | 39,697,509 |
| تعداد دریافت فایل اصل مقاله | 17,253,100 |
بررسی شاخصهای جریان زیستمحیطی و مدل اکوهیدرولیکی PHABSIM در برآورد محدوده جریان رهاسازی بهینه اکولوژیکی از مخزن سد لتیان | ||
| تحقیقات مهندسی سازه های آبیاری و زهکشی | ||
| دوره 23، شماره 89، اسفند 1401، صفحه 21-46 اصل مقاله (1.6 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/idser.2023.361807.1537 | ||
| نویسندگان | ||
| محمدحسن نادری* 1؛ مرضیه باقری خانقاهی2؛ میثم سالاری جزی3 | ||
| 1گروه مهندسی آب، دانشکده مهندسی آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران | ||
| 2دانشجوی دکتری مهندسی آبیاری و زهکشی، گروه مهندسی آب، دانشکده آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، ایران | ||
| 3دانشیار گروه مهندسی آب، دانشکده مهندسی آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران | ||
| چکیده | ||
| در مدیریت و برنامه‌ریزی منابع آب و مدیریت اکوسیستمی رودخانه‌های تنظیم شده، تأثیر جنبه‌های مختلف رژیم طبیعی جریان رودخانه در تعیین نیاز جریان مطلوب اکولوژیکی در چارچوب پروژه‌های سد و نیروگاه برق‌آبی، باید در نظر گرفته شود. تعیین جریان زیستمحیطی یکی از روشهای مؤثر است که میتواند پتانسیل مناسبی را برای کاهش تأثیرات منفی تنظیم رودخانه و محافظت زیستگاه، ایجاد کند. در این مطالعه، از سه روش مبتنی بر هیدرولوژی، روش تنانت، کمبود جریان اکولوژیکی و روش تغییرپذیری شاخصهای هیدرولوژیکی برای ارزیابی جریان زیستمحیطی و از مدل اکوهیدرولیکی PHABSIM برای به‌دست آوردن مطلوبیت زیستگاه و رژیم جریان اکولوژیکی در پایین‌دست سد لتیان، استفاده شد. بر اساس نتایج، جریان زیستمحیطی با ترکیب روشهای هیدرولوژیکی و شبیه‌سازی زیستگاه در محدوده 55/18-5/2 مترمکعب بر ثانیه به‌عنوان میزان جریان رهاسازی مورد‌نیاز که باعث پایداری گونه‌های ماهی و زیستگاه رودخانه جاجرود می‌شوند، محاسبه شدند. همچنین ماه‌های کم‌جریان در مقایسه با ماه‌های پرآبی جریان (اسفند تا خرداد)، نیاز به درنظر گرفتن نسبت بیشتری از متوسط جریان ماهانه نسبت به میانگین جریان سالانه (در محدوده 36-13 درصد) به عنوان حداقل جریان مورد نیاز زیستمحیطی، دارند. در نهایت این نتیجه به دست آمد که دبی جاری رودخانه جاجرود کمتر از نیاز آبی اکولوژیکی برآورد شده است که نشان میدهد میزان دبی آب مناسب برای گونه‌های آبزی را فراهم نمی‌کند. از سوی دیگر، مقدار کلی تغییرات رژیم هیدرولوژیکی رودخانه جاجرود 80/26درصد، محاسبه و همچنین مقدار متوسط جریان ماهانه و جریان حداکثر به ترتیب 73 و 82 درصد در مقایسه با قبل از احداث سد لتیان، کاهش یافته است. | ||
| کلیدواژه‌ها | ||
| زیستگاه رودخانه؛ رژیم طبیعی جریان؛ رودخانه جاجرود؛ منابع آب؛ میانگین جریان سالانه | ||
| عنوان مقاله [English] | ||
| Study Indicators of Environmental Flow and PHABSIM EcoHydraulic Model to Estimation of Ecological Optimal Release Flow Range from Latyan Dam Reservoir | ||
| نویسندگان [English] | ||
| Mohammad Hasan Naderi1؛ Marzieh Bagheri Khaneghahi2؛ Meysam Salarijazi3 | ||
| 1Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran | ||
| 2PhD student in irrigation and drainage engineering, water engineering department, water and soil faculty, Gorgan University of Agricultural Sciences and Natural Resources, Iran | ||
| 3Associate Professor, Department of Water Engineering, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran | ||
| چکیده [English] | ||
| The study of fish habitats is important for us to better understand the impact of reservoir construction on river ecosystems. Hydropeaking hydropower plants are the main source of renewable energy, meeting sub-daily peaks in electricity demand. Dam reservoir that regulates river water to supply different sectors demands such as drinking water municipal, agricultural, and hydropower generation and this ignores the need for water in the river as the first beneficiary. The development of a rational watershed planning and management plan (develop a suitable ecological flow scenarios) is significant for the survival, reproduction, and development of fish. Recently, several classical approaches were used to estimate ecological flow, including hydrologic, hydraulic, and a habitat suitability modeling approach. The hydrological approach determines ecological flow based on historical hydrological data, of which one representative method is the Tennant method. The hydraulic approach determines the ecological flow according to the wetted perimeter of the cross section of the river. Hydrological and hydraulic approaches are favored because of their simplicity and ease of calculation, but both of them lack the biological mechanisms and biological requirements. Fortunately, the habitat suitability modeling approach combines the knowledge of hydraulics and biology to establish the relationship between habitat and hydraulic factors. It has certain advantages in the evaluation of ecological flow and has attracted more and more researchers’ attention. The most classical habitat suitability modeling approach is the instream flow incremental methodology (IFIM) and its physical habitat simulation component (PHABSIM), which includes the suitability of habitat target species to a series of hydraulic factors such as flow velocity and water depth to build a habitat suitability index model. The habitat suitability modeling approach provides the best range of hydraulic factors such as flow for habitat target species, which has certain reference significance for guiding reservoir operation. The Physical Habitat Simulation Model (PHABSIM) is proposed to simulate the relationship between streamflow and physical habitat for various life stages of target fish species, and thus to determine the optimal ecological flow of the representative river reach.The classical PHABSIM includes two components, namely hydraulic simulation and habitat modeling. On the basis of that, one-dimension hydraulic simulation model is proposed to determine characteristics of the stream in terms of depth and velocity as a function of discharge. As for habitat modelling, the river sectors and aquatic species most vulnerable to the variation of streamflow should be identified initially. Then, the Habitat Suitability Index (HSI) is introduced to reflect the preferences of target fish species with regards to the flow velocity, depth, and channel properties. Basically, HSI was determined according to the number of fish population appearing at the target point. The maximum value of HSI is set at 1.0, and the rest of the HSI values are determined in terms of relative ratio to the maximum value. Then, the Weighted Usable Areas (WUA) is employed to reflect the amount of physical habitat that available for fish species at different flow condition, which can be calculated as an aggregate of the product of a composite HSI. In terms of ecological constraint, maintaining at least 75% of largest WUA is set as an example in optimization modelling, to describe the detailed process to incorporate the ecological demand into reservoirs operation under one certain recovery level. Based on the results, the environmental flow in the range of 2.5-18.55 m3/s was calculated as the amount of release flow needed to stabilize the fish species and habitat of Jajrood River. Also, the low flow months (July to November) compared to the high flow months (March to June), need to consider a higher proportion of the average monthly flow than the mean annual flow as the minimum required environmental flow. The reservoir operation makes flow series flat and the duration of a single pulse increases compared with flow series before construction. Overall, it is obvious that the hydrological parameters of natural flow have a lager alteration due to the construction and operation of reservoir, which may change the downstream riverine structure and threaten freshwater biodiversity. The combination of eco-flow indicators and hydrological regime alteration, which is capable of mirroring the key hydrological information and related ecological connotation, is prove to be an effective method to evaluate the eco-hydrological regimes. It was demonstrated that the operation of the hydroelectric power plant in the hydropeaking system is the cause of a large flow alteration in respect of the frequency and duration of low- and high-flow pulses and the rate and frequency of change in the flow. The change in the manner of operation of the hydroelectric power plant affected the reduction in the degree of transformation of most features of the flow. Trend of maximum and mean flow ratio and maximum and minimum flow ratio has attenuated in reservoir after condition. | ||
| کلیدواژه‌ها [English] | ||
| Jajrood River, Habitat River, Mean Annual Flow, Natural Flow Regime, Water Resources | ||
| مراجع | ||
|
Ban, X., Qi, T., Wang, H. Z., Du, H., Diplas, P., Xiao, F. & Huang, W. (2022). Comprehensive Environmental Flows Assessment for Multi Guilds in the Riparian Habitats of the Yangtze River. Water Resources Research, 58(9), e2021WR030408.
Boavida, I., Caetano, L. & Pinheiro, A. N. (2020). E-flows to reduce the hydropeaking impacts on the Iberian barbel (Luciobarbus bocagei) habitat. An effectiveness assessment based on the COSH Tool application. Science of The Total Environment, 699, 134209.
Hamidifar, H., Akbari, F. & Rowiński, P. M. (2022). Assessment of Environmental Water Requirement Allocation in Anthropogenic Rivers with a Hydropower Dam Using Hydrologically Based Methods—Case Study. Water, 14(6), 893.
Judes, C., Capra, H., Gouraud, V., Pella, H. & Lamouroux, N. (2023). Past hydraulics influence microhabitat selection by invertebrates and fish in hydropeaking rivers. River Research and Applications, 39(3), 375-388.
Jouladeh-Roudbar, A., Ghanavi, H. R. & Doadrio, I. (2020). Ichthyofauna from Iranian freshwater: Annotated checklist, diagnosis, taxonomy, distribution and conservation assessment. Zoological Studies, 59, 21.
Karimi, S., Salarijazi, M., Ghorbani, K. & Heydari, M. (2021). Comparative assessment of environmental flow using hydrological methods of low flow indexes, Smakhtin, Tennant and flow duration curve. Acta Geophysica, 69(1), 285-293.
Kim, S. K. & Choi, S. U. (2019). Comparison of environmental flows from a habitat suitability perspective: A case study in the Naeseong cheon Stream in Korea. Ecohydrology, 12(6), 1-10.
Kim, S., Jung, K. & Kang, H. (2022). Response of fish community to building block methodology mimicking natural flow regime patterns in Nakdong River in South Korea. Sustainability, 14(6), 3587.
Kuriqi, A., Pinheiro, A. N., Sordo-Ward, A. & Garrote, L. (2019). Flow regime aspects in determining environmental flows and maximising energy production at run-of-river hydropower plants. Applied Energy, 256, 113980.
Meric, B. T. (2022). Environmental flow methodology approach based on ecological impact assessment for hydroelectric power plants and hydraulic structures on stream ecosystems in Turkey. Environmental Monitoring and Assessment, 194(6), 1-13.
Mianabadi, H., Alioghli, S. & Morid, S. (2021). Quantitative evaluation of ‘No-harm’rule in international transboundary water law in the Helmand River basin. Journal of Hydrology, 599, 126368.
Naderi, M, H, Pourgholam Amiji, M., Ahmadaali, K., Amiri, Z., Ghojoghi, A. & Ghorbani Minaei, L. (2020). Determine and Design Range of Optimal Environmental Flow Zarin-Gol River by Investigation the Hydromorphological Characteristics, Hydrological Regime and Habitat Suitability Simulation Ecohydraulic Model. Journal of Fisheries, 73(1), 17-40. (In Persian)
Naderi, M, H., Arab, N., Jahandideh, O., Salarijazi, M. & Aarb, A. (2021). Estimation of Optimal Release Flow Range from Jamishan Dam Considering the Optimal Instream Ecological Water Demand for Conservation the Habitat Potential of the Dinavar River. Water and Soil, 35(2), 203-225. (In Persian)
Naderi, M, H., Pourgholam-Amiji, M., Khoshravesh, M., Salarijazi, M., mohammadi, E. & Gholizade, M. (2022). Investigating the Relationships between Hydromorphological and Hydrological Characteristics on Habitat Suitability under Scenarios of Changing the Environmental Flow Regime based on Kordan River Ecosystem Restoration. Iranian Journal of Soil and Water Research, 52(11), 2789-2814. (In Persian)
Richter, B. D., Baumgartner, J. V., Powell, J. & Braun, D. P. (1996). A method for assessing hydrologic alteration within ecosystems. Conservation biology, 10(4), 1163-1174.
Sahami, S., Shokoohi, A., Khatar, B. & Chehrzad, F. (2022). Qualitative Modeling for Managing Water Allocation in Rivers. Journal of Water and SoilResources Conservation, 11(3), 31-46. (In Persian)
Sedighkia, M. & Datta, B. (2023). Linking SVM based habitat model and evolutionary optimisation for managing environmental impacts of hydropower plants. River Research and Applications,1–14.
Sedighkia, M., Badrzadeh, N., Fathi, Z., Abdoli, A. & Datta, B. (2023). An integrated simulation–optimization framework for assessing environmental flows in rivers. Environmental Monitoring and Assessment, 195(2), 292.
Shafie, B., Javid, A. H., Behbahani, H. I., Darabi, H, & Lotfi, F. H. (2023). Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran). Environmental Monitoring and Assessment, 195(3), 363.
Shi, P., Liu, J., Yang, T., Xu, C. Y., Feng, J., Yong, B. & Li, S. (2019). New methods for the assessment of flow regime alteration under climate change and human disturbance. Water, 11(12), 2435.
Sofi, M. S., Bhat, S. U., Rashid, I. & Kuniyal, J. C. (2020). The natural flow regime: A master variable for maintaining river ecosystem health. Ecohydrology, 13(8), 2247.
Stamou, A., Polydera, A., Papadonikolaki, G., Martinez-Capel, F., Muñoz-Mas, R., Papadaki, C., & Dimitriou, E. (2018). Determination of environmental flows in rivers using an integrated hydrological-hydrodynamic-habitat modelling approach. Journal of environmental management, 209, 273-285.
Vogel, R. M., Sieber, J., Archfield, S. A., Smith, M. P., Apse, C. D. & Huber Lee, A. (2007). Relations among storage, yield, and instream flow. Water Resources Research, 43(5), 1-12.
Wang, Y., Wang, D., Lewis, Q. W., Wu, J. & Huang, F. (2017). A framework to assess the cumulative impacts of dams on hydrological regime: A case study of the Yangtze River. Hydrological Processes, 31(17), 3045-3055.
Wang, H., Wang, H., Hao, Z., Wang, X., Liu, M. & Wang, Y. (2018). Multi-objective assessment of the ecological flow requirement in the upper Yangtze national nature reserve in China using PHABSIM. Water, 10(3), 326.
Wu, H., Shi, P., Qu, S., Zhang, H. & Ye, T. (2022). Establishment of watershed ecological water requirements framework: A case study of the Lower Yellow River, China. Science of the Total Environment, 820, 153205.
Yan, M., Fang, G. H., Dai, L. H., Tan, Q. F. & Huang, X. F. (2021). Optimizing reservoir operation considering downstream ecological demands of water quantity and fluctuation based on IHA parameters. Journal of Hydrology, 600, 126647.
Yu, Z., Zhang, J., Zhao, J., Peng, W., Fu, Y., Wang, Q. & Zhang, Y. (2021). A new method for calculating the downstream ecological flow of diversion-type small hydropower stations. Ecological Indicators, 125, 107530.
Zhang, Q., Gu, X., Singh, V. P. & Chen, X. (2015). Evaluation of ecological instream flow using multiple ecological indicators with consideration of hydrological alterations. Journal of Hydrology, 529, 711-722.
Zhang, Q., Zhang, Z., Shi, P., Singh, V. P. & Gu, X. (2018). Evaluation of ecological instream flow considering hydrological alterations in the Yellow River basin, China. Global and Planetary Change, 160, 61-74. | ||
|
آمار تعداد مشاهده مقاله: 1,405 تعداد دریافت فایل اصل مقاله: 219 |
||