پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شماره‌ها | 6,533 |
| تعداد مقالات | 70,508 |
| تعداد مشاهده مقاله | 124,128,017 |
| تعداد دریافت فایل اصل مقاله | 97,235,533 |
بررسی کارآیی داده‌های بارش ماهواره‌ای در شبیه‌سازی جریان رودخانه به کمک مدل IHACRES (مطالعه موردی: حوضه‌آبریز سد طرق) | ||
| تحقیقات آب و خاک ایران | ||
| دوره 55، شماره 6، شهریور 1403، صفحه 979-1000 اصل مقاله (2.9 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2024.373933.669680 | ||
| نویسندگان | ||
| ابوالفضل مساعدی* ؛ سینا محمدیان؛ فرشته مدرسی | ||
| گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران | ||
| چکیده | ||
| مدل‌سازی و یا پیش‌بینی مقدار جریان رودخانه یکی از نیازهای اساسی در مدیریت منابع آب است. متأسفانه بسیاری از حوضه‌های آبریز فاقد ایستگاه اندازه‌گیری بارش هستند. استفاده از داده‌های پردازش‌شده ماهواره‌ها یکی از روش‌های مناسب جایگزینی داده‌های بارش مشاهداتی است. این ماهواره‌ها از پوشش مکانی و زمانی بسیار مناسبی برخوردارند، ولی می‌بایست دقت مقادیر برآوردشده بارش استخراج‌شده از داده‌های ماهواره‌ها در مناطق مختلف با داده‌های زمینی مورد مقایسه و کنترل قرار گیرد. در پژوهش حال حاضر، از مدل بارش-رواناب IHACRES جهت شبیه‌سازی جریان رودخانه طرق در حوضه‌آبریز سد طرق (به مساحت76/164کیلومتر‌مربع) استفاده شده‌است. به این منظور از داده‌های اندازه‌گیری‌شده در ایستگاه‌های تبخیرسنجی و هیدرومتری و همچنین از داده‌های ماهواره‌ای MERRA-2 به‌صورت روزانه و ماهانه در دو بازه زمانی 9ساله (از تاریخ 1مهر1392 تا 31شهریور1401) و 29ساله (از تاریخ 11دی1372 تا 31شهریور1401) استفاده شده‌است. نتایج نشان می‌دهد که در طول دوره موردبررسی، به تدریج دقت مقادیر بارش برآوردشده بر اساس ماهواره MERRA-2 در مقایسه با مقادیر اندازه‌گیری‌شده افزایش یافته است. در دوره 29ساله نتایج صحت‌سنجی مدل ضعیف‌تر از دوره 9ساله هست که این موضوع می‌تواند به دلیل شرایط ناشی از تغییر در کاربری اراضی حوضه و افزایش تدریجی دما در حوضه باشد. با توجه به ضریب نش‌ساتکلیف(NSE) 846/0به‌دست‌آمده در مرحله صحت‌سنجی دوره 9ساله با گام زمانی روزانه با استفاده از داده‌های ماهواره‌ای و همچنین مقدار ضریب همبستگی پیرسون 925/0، همبستگی خوبی بین جریان روزانه شبیه‌سازی‌شده بر اساس داده‌های ماهواره‌ای و جریان روزانه اندازه‌گیری‌شده وجود دارد. بنابراین، استفاده از داده‌های ماهواره‌ای تولیدشده در دهه اخیر می‌تواند جایگزین مناسبی برای داده‌های ناقص بارش در ایستگاه‌های اندازه‌گیری زمینی در منطقه مورد مطالعه باشد. | ||
| کلیدواژه‌ها | ||
| حوضه‌آبریز طرق؛ شبیه‌سازی هیدرولوژیکی؛ مدل بارش-رواناب؛ MERRA-2؛ IHACRES | ||
| عنوان مقاله [English] | ||
| Evaluation of the efficiency of satellite precipitation data in simulating river flow using the IHACRES Model (Case study: Toroq Dam Watershed) | ||
| نویسندگان [English] | ||
| Abolfazl Mosaedi؛ Sina Mohammadian؛ Fereshteh Modaresi | ||
| Department of Water Sciences and Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. | ||
| چکیده [English] | ||
| Modeling and predicting the flow rate of rivers is one of the fundamental needs in water resource management. Unfortunately, many watersheds lack precipitation measurement stations. The use of processed satellite data is one of the suitable alternatives to observational data; but the accuracy of estimated precipitation values extracted from satellite data should be compared and validated with ground data in different regions. In the current study, the IHACRES rainfall-runoff model has been used to simulate river flow in the Toroq dam watershed. For this purpose, daily and monthly data from ground stations and MERRA-2 satellite data have been used on a daily and monthly basis in two periods of 9 years and 29 years. The results show that over the study period, the accuracy of estimated precipitation values based on the MERRA-2 satellite has gradually increased compared to the measured values. In the 29-year period, the model validation results are weaker than the 9-year period, which could be due to conditions resulting from land use changes in the watershed and gradual temperature increase in the watershed. With a NSE coefficient of 0.846 obtained in the validation stage of the 9-year period with daily time steps using satellite data, as well as a Pearson correlation coefficient of 0.925, there is a good correlation between the daily-simulated flow using satellite data, and the daily measured flow. Therefore, the use of satellite data produced in the past decade can be a suitable substitute for incomplete precipitation data at ground measurement stations. | ||
| کلیدواژه‌ها [English] | ||
| hydrological simulation, IHACRES, MERRA-2, rainfall-runoff model, Toroq watershed | ||
| مراجع | ||
|
Abdollahi-pour, A., Moazami-Goudarzi, S., & Zakeri-Nayeri, M. (2016). Evaluation of Three Algorithms for the Daily Hydrological Modeling of the Sarough Chai Basin Using the Satellite Precipitation Products and Applying the IHACRES Model. Water Resources Engineering, 8(27), 59-72.(in Persian) Abushandi, E., & Merkel, B. (2013). Modelling rainfall runoff relations using HEC-HMS and IHACRES for a single rain event in an arid region of Jordan. Water resources management, 27, 2391-2409. Ahmadi, M., Dadashi Roudbari, A., & Deyrmajai, A. (2020). Runoff Estimation Using IHACRES Model Based on CHIRPS Satellite Data and CMIP5 Models (Case Study: Gorganroud Basin- Aq Qala Area). Journal of Soil And Water Research, 51(3), 659-671.(in Persian ) Ashofteh, P., & Massah Bouani, A. R. (2010). Impact of Climate Change on Maximum Discharges: Case Study of Aidoghmoush Basin, East Azerbaijan. Journal of Water and Soil Science, 14(53), 28-38. (in Persian) Baratto, J., de Bodas Terassi, P. M., de Beserra de Lima, N. G., & Galvani, E. (2024). Precipitation Anomalies and Trends Estimated via Satellite Rainfall Products in the Cananeia–Iguape Coastal System, Southeast Region of Brazil. Climate, 12(2), 22. Bloom, S., Takacs, L., Da Silva, A., & Ledvina, D. (1996). Data assimilation using incremental analysis updates. Monthly Weather Review, 124(6), 1256-1271. Choubin, M., & Bashirgonbad, M. (2023). Evaluation of IHACRES, Conceptual Rainfall Runoff Model and Artificial Neural Network Models in Simulation and Stream flow Prediction in Bakhtiary River Basin. journal of watershed management research, 14(27), 115-122.(in Persian) Dastorani, M. T., Hajibigloo, M., & Shojaee, H. (2022). Identification of the land use changes on river flooding bed, affective on reservoir water quality (Case study: headwater of Kardeh reservoir). Geography and Development, 20(66), 255-282. https://doi.org/10.22111/j10.22111.2022.6739 (in Persian) Dawoochund, R., Patra, K., & Swain, J. B. (2017). Adequacy of IHACRES Model on Streamflow Resulting from Landuse Changes in A Mauritius Catchment 22nd International Conference on Hydraulics,Water Resources and Coastal Engineering(HYDRO), Ahmedabad, Gujarat,India. Dooge, J. (1973). Linear theory of hydrologic systems. Agricultural Research Service, US Department of Agriculture. Dye, P. J., & Croke, B. F. (2003). Evaluation of streamflow predictions by the IHACRES rainfall-runoff model in two South African catchments. Environmental Modelling & Software, 18(8-9), 705-712. Farzandi, M., Rezaee-Pazhand, H., & Mirkamandar, B. (2021). Analysis of heat Island and investigation of nonlinear trend of 130-year temperature changes in Mashhad. Journal of Meteorology and Atmospheric Science, 3(4), 375-389. https://doi.org/10.22034/jmas.2021.296910.1148 (in Persian) Goodarzi, E., dastorani, M., Massah Bouani, A. R., & Talebi, A. (2010). Assessing the Performance of the IHACRES Rainfall-Runoff Model in Predicting Urban Floods (Case Study: Azam-Harat Yazd watershed) First National Conference on Urban Flood Management, Tehran, Iran. (in Persian) Goodarzi, M., Motamed Vaziri, B., & Mir hoseini, M. (2017). Assessment of IHACRES Model in Surface Run-off Simulation in Climate Change Status: A case study Kan Basin [case report]. Iranian Jornal of Watershed Management Science&Engineering, 11(38), 83-94 (in Persian) Goodarzi, M., Salahi, B., & Hoseini, A. (2018). Assessment of IHACRES Model in Simulating River Discharge in Urmia Lake Basin. Iranian Jornal of Watershed Management Science&Engineering, 12(43), 1-10.(in Persian) Goodarzi, M. R., Pooladi, R., & Niazkar, M. (2022). Evaluation of Satellite-Based and Reanalysis Precipitation Datasets with Gauge-Observed Data over Haraz-Gharehsoo Basin, Iran. Sustainability, 14(20), 13051. https://www.mdpi.com/2071-1050/14/20/13051. Goodarzi, M. R., Sabaghzadeh, M., & Niazkar, M. (2023). Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran. Acta Geophysica, 1-13. https://doi.org/10.1007/s11600-023-01177-3. Goodarzi, M. R., Zahabiyoun, B., Massah Bavani, A. R., & Kamal, A. R. (2012). Performance comparison of three hydrological models SWAT, IHACRES and SIMHYD for the runoff simulation of Gharesou basin. Water and Irrigation Management, 2(1), 25-40. https://doi.org/10.22059/jwim.2012.25090. (in Persian) Guo, B., Xu, T., Yang, Q., Zhang, J., Dai, Z., Deng, Y., & Zou, J. (2023). Multiple Spatial and Temporal Scales Evaluation of Eight Satellite Precipitation Products in a Mountainous Catchment of South China. Remote Sensing, 15(5), 1373. Guo, B., Zhang, J., Xu, T., Croke, B., Jakeman, A., Song, Y., Yang, Q., Lei, X., & Liao, W. (2018). Applicability Assessment and Uncertainty Analysis of Multi-Precipitation Datasets for the Simulation of Hydrologic Models. Water, 10(11), 1611. Inness, A., Ades, M., Agustí-Panareda, A., Barré, J., Benedictow, A., Blechschmidt, A.-M., Dominguez, J. J., Engelen, R., Eskes, H., & Flemming, J. (2019). The CAMS reanalysis of atmospheric composition. Atmospheric Chemistry and Physics, 19(6), 3515-3556. Jakeman, A., & Hornberger, G. (1993). How much complexity is warranted in a rainfall‐runoff model? Water resources research, 29(8), 2637-2649. Kheirfam, H., Mostafazadeh, R., & Sadeghi, S. H. (2013). Daily Discharge Prediction Using IHACRES Model in Some Watersheds of Golestan Province. Watershed Management Research, 4(7), 114-127. (in Perisan) Kim, T., & Kang, B. (2023). Climate stress impacts on the reservoir inflows: a decision-scaling and IHACRES modeling approach in South Korean basins. Journal of Water and Climate Change, 14(9), 3071-3085. Lubczynski, M. W., Leblanc, M., & Batelaan, O. (2024). Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review. Journal of Hydrology, 633, 130901. https://doi.org/https://doi.org/10.1016/j.jhydrol.2024.130901 Masoudi, M., & Assar, Z. (2017). Hazard assessment of drought and climate change in Khorasan Razavi Province. Nivar, 41(98-99), 61-72. https://doi.org/10.30467/nivar.2017.51901. (in Persian) Modaresi, F., Ebrahimi, K., & Araghinejad, S. (2022). Ranking Evaluation of Data-driven and Conceptual Modelling of Rainfall-Runoff Process in Monthly Time Scale. Irrigation and Water Engineering, 12(4), 258-273. https://doi.org/10.22125/iwe.2022.150737 (in Persian) Mohammadi, B., Safari, M. J. S., & Vazifehkhah, S. (2022). IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling. Scientific Reports, 12(1), 12096. https://doi.org/10.1038/s41598-022-16215-1 Motovilov, Y. G., Gottschalk, L., Engeland, K., & Rodhe, A. (1999). Validation of a distributed hydrological model against spatial observations. Agricultural and Forest Meteorology, 98, 257-277. Oyerinde, G. T., Fademi, I. O., & Denton, O. A. (2017). Modeling runoff with satellite-based rainfall estimates in the Niger basin. Cogent Food & Agriculture, 3(1), 1363340. Seifi, S., Khdoashenas, S., & Mosaedi, A. (2018). Evaluation of the Efficiency of the IHACRES Rainfall-Runoff Model in Simulating the Inflow Runoff to the Toroq Reservoir. 7th National Conference on Water Resources Management, Yazd University, Yazd, Iran. (in Persian) Taylor, K. E. (2001). Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research: Atmospheres, 106(D7), 7183-7192. Tramblay, Y., El Khalki, E. M., Ciabatta, L., Camici, S., Hanich, L., Saidi, M. E. M., Ezzahouani, A., Benaabidate, L., Mahé, G., & Brocca, L. (2023). River runoff estimation with satellite rainfall in Morocco. Hydrological Sciences Journal, 68(3), 474-487. Velaayati, S. d., & Kamkar yazd nejad, M. (2008). The study of the effects of dams on the quality and quantity of underground water of detrital fan of the lowest area. Journal of Geography and Regional Development, 6(11), 167-185. https://doi.org/10.22067/geography.v6i11.4284 (in Persian) Zandi, R., Karami, M., & Taheri, J. (2020). The role of land use changes in spatial form of heat islands in Mashhad city. Physical Social Planning, 6(4), 93-104. https://doi.org/10.30473/psp.2020.6590 (in Persian) Zarei, M., Habibnejad roshan, M., Shahedi, K., & Ghanbarpour, M. R. (2011). Calibration and Evaluation of IHACRES Hydrological Model for Daily Flow Simulation. Journal of Water and Soil (Agricultural Sciences and Technology), 25(1), 104-114. (in Persian ) Zeydalinejad, N., Nassery, H. R., Shakiba, A., & Alijani, F. (2019). Simulation of Taraz-Harkesh River's Flow, Khouzestan Province, Under Climate Change with NEX-GDDP Data Set and IHACRES Rainfall-Runoff Model. Journal of Meteorology and Atmospheric Science, 2(2), 162-178. (in Persian) | ||
|
آمار تعداد مشاهده مقاله: 113 تعداد دریافت فایل اصل مقاله: 105 |
||