| تعداد نشریات | 282 |
| تعداد نشریات سازمان | 80 |
| تعداد شمارهها | 3,168 |
| تعداد مقالات | 35,197 |
| تعداد مشاهده مقاله | 50,932,553 |
| تعداد دریافت فایل اصل مقاله | 90,938,103 |
شبیهسازی رسوبنمود با استفاده از آبنمود | ||
| مهندسی و مدیریت آبخیز | ||
| مقاله 3، دوره 8، شماره 1، فروردین 1395، صفحه 28-41 اصل مقاله (650.86 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijwmse.2016.105972 | ||
| نویسندگان | ||
| پری سعیدی1؛ سید حمیدرضا صادقی* 2؛ عبدالرسول تلوری3 | ||
| 1دانشجوی دکتری، دانشکده منابع طبیعی، دانشگاه تربیت مدرس | ||
| 2استاد، دانشکده منابع طبیعی، دانشگاه تربیت مدرس | ||
| 3دانشیار، پژوهشکده حفاظت خاک و آبخیزداری، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران | ||
| چکیده | ||
| رسوبنمود یک ابزار مهم در مدیریت منابع آب و خاک حوزههای آبخیزمحسوب میشود، لذا دستیابی به روشهای مناسب برای تهیه رسوبنمودها در حوزههای آبخیز مختلف فاقد آمار دقیق رسوب معلق از اهمیت زیادی برخوردار است. حال آنکه دستیابی به روشهای ساده و مبتنی بر دادههای زودیافت کمتر مورد توجه قرار گرفته است. لذا پژوهش حاضر با هدف بررسی توانایی تهیه رسوبنمود مصنوعی با استفاده از آبنمود در حوزه آبخیز گلازچای در استان آذربایجان غربی با مساحت 103 کیلومتر مربع انجام شد. بدین منظور بعد از تهیه بانک اطلاعاتی مربوط به 18 رگبار بهوقوع پیوسته طی دوره زمانی پاییز 1390 تا بهار 1393، آبنمود و رسوبنمود کل و مستقیم هر یک از رگبارها تهیه شد. سپس شبیهسازی کلیه مؤلفههای رسوبنمود کل و مستقیم با استفاده از مؤلفههای متناظر آبنمود و با استفاده از برازش انواع روابط رگرسیونی دو متغیره و انتخاب مدل بهینه با استفاده از معیارهای مختلف صورت گرفت. بر اساس نتایج حاصل از این تحقیق بهطور کلی شبیهسازی مؤلفههای مختلف رسوبنمود کل بهجز زمان پایه، عرضهای 50 و 75 درصد از اوج با استفاده از مؤلفههای آبنمود امکانپذیر بود. بررسی نتایج شبیهسازی رسوبنمود مستقیم نیز دلالت بر توانایی شبیهسازی کلیه مؤلفهها بهجز عرض 75 درصد اوج بود. نتایج همچنان نشان داد که شبیهسازی مؤلفههای زمانی با مقادیر خطای نسبی کمتر، بهتر از سایر مؤلفهها صورت گرفت. بهنحویکه کمترین مقادیر خطای تخمین و تائید برای رسوبنمود کل بهترتیب برابر 48.86 و 45.65 درصد برای زمان تا اوج بود. مدل بهینه ارائه شده برای شبیهسازی مؤلفه زمان پایه دارای کمترین میزان خطای تخمین و تائید بهترتیب برابر 23.03 و 21.75 و بیشینه ضریب کارایی برابر 0.93 بود. | ||
| کلیدواژهها | ||
| تغییرات زمانی رسوب معلق؛ حوزههای آبخیز؛ رابطه رواناب-رسوب؛ رفتار رسوبی؛ مدلسازی رسوب | ||
| عنوان مقاله [English] | ||
| Simulation of sediment graph using hydrograph | ||
| نویسندگان [English] | ||
| Pari Saeidi1؛ Seyed Hamidreza Sadeghi2؛ Abdulrasul Telvari3 | ||
| 1PhD Student, Faculty of Natural Resources, Tarbiat Modares University, Noor, Iran | ||
| 2Professor, Faculty of Natural Resources, Tarbiat Modares University, Noor, Iran | ||
| 3Associate Professor, Soil Conservation and Watershed Management Research Institute, Iran | ||
| چکیده [English] | ||
| Sediment graph is an important tool for soil and water resources management of watersheds. It is therefore important to find an appropriate procedure to simulate sediment graph data in different watersheds with inadequate and unreliable suspended sediment data. However, achieving simple procedures based on easily accessible data has been less considered. Hence, the present study was conducted in Galazchai Watershed in West-Azerbaijan Province, Iran, with an area of some 103 km2 to investigate the ability of synthetic sediment graph development by using hydrograph. Towards this attempt, a databank of 18 storm events occurred during autumn 2011 and spring 2014 was developed and corresponding total and direct hydrographs and sediment graphs were prepared. All total and direct sediment graph components were simulated using corresponding hydrograph components with the help of different bivariate regression models and the best performed model was ultimately determined by applying different criteria. The results showed that the simulation of different total sediment graph components was possible using hydrograph components except for base time and ordinates of 50 and 75 percent of peak. Direct sediment graph simulation results also verified the simulation ability of all components except for ordinates of 75 percent of peak. According to the results, simulation of temporal components with the lower relative errors had better performance than the other components. So that, for total sediment graph, the lowest relative estimation and validation errors for time to peak were 48.86% and 45.65%, respectively. Also, the best performed model developed for the direct sediment graph base time had the lowest relative estimation and validation errors of 23.03% and 21.75% and the highest coefficient of efficiency of 0.93. | ||
| کلیدواژهها [English] | ||
| Sediment behavior, Sediment modeling, Sediment-Runoff relationship, Suspended sediment temporal variations, watershed | ||
| مراجع | ||
10. Kothyari, U.C. and S.K. Jain. 1997. Sediment yield estimation using GIS. HydrologicalSciences Journal, 42(6): 833- 843. 11. Kumar, S. and R.A. Rastogi. 1987. A conceptual catchment model for estimating of suspended Sediment Flow. Journal of Hydrology, 95: 155-163. 12. Lana-Renault, N., D. Regu¨e´s, C. Martı´-Bono, S. Beguerı´a, J. Latron, E. Nadal, P. Serrano and J.M. Garcı´a-Ruiz. 2007. Temporal variability in the relationships between precipitation, discharge and suspended sediment concentration in a small Mediterranean mountain catchment. Nordic Hydrology, 38(2): 139–150. 13. Lee, K.T. and C. Yang. 2010. Estimation of sediment yield during stormsbased on soil and watershed geomorphology characteristics. Journal of Hydrology, 382: 145–153. 14. Lee, Y.H. and V.P. Singh. 1999. Prediction of sediment yield by coupling Kalman filter with instantaneous unit sediment graph. Hydrological Process, 13: 2861–2875. 15. Lee, Y.H. and V.P. Singh. 2005. Tank model for sediment yield. Water Resources Management Journal, 19: 349–362. 16. Mahdavi, M. 2002. Applied hydrology. Tehran University Press, 437 pages (in Persian). 17. Mingguo, Z., C. Qiangguo and C. Qinjuan. 2008. Modelling the runoff-sediment yield relationship using a proportional function in hilly areas of the Loess Plateau, North China. Geomorphology, 93(3-4): 228-301. 18. Moatamednia, M., S.H.R., Sadeghi, H.R. Moradi and H. Asadi. 2010. Evaluation of different modeling procedures in unit hydrograph-hyetograph relationship. Journal of Water and Soil Science, 14(52): 27-36 (in Persian). 19. Mostafazadeh, R., S.H.R. Sadeghi and A. Saddodin. 2015. Analysis of Storm-wise Sedimentgraphs and Rating Loops in Galazchai Watershed, West-Azerbaijan. Soil and Water Conservation Researches, accepted (in Persian). 20. Nadal-Romero, E., J. Latron Martí-Bono and D. Regüés. 2008. Temporal distribution of suspended sediment transport in a humid Mediterranean badland area: The Araguás catchment, Central Pyrenees. Geomorphology, 97(3-4): 601-616. 21. Noor, H. and S.H.R. Sadeghi. 2011. Instantaneous unit sediment graph modeling. Iran-Water Resources Research Journal, 7(4): 62-70 (in Persian). 22. Raeisi, M., S.H.R. Sadeghi and H. Noor. 2010. Accuracy of time- area method in sediment graph development in Kojour watershed. Rangeland, 4(2): 320-333 (in Persian). 23. Rendon-Herrero, O. 1978. Unit sediment graph. Water Resources Research,14: 889–901. 24. Rovira, A. and R. Batalla. 2006. Temporal distribution of suspended sediment transport in a Mediterranean basin: The Lower Tordera (NE SPAIN). Geomorphology, 79: 58-71. 25. Sadeghi, S.H.R. 2000. Rainfall-runoff relationship for Amameh watershed in Iran. In: Proceeding of International Water Resources Management for Sustainable Development, India, 796- 804. 26. Sadeghi, S.H.R., S. Aghabeigi Amin, M. Vafakhah, B. Yasrebi and A. Esmaeili Sari. 2006. Suitable drying time for suspended sediment samples, Iran. 71 pages. 27. Sadeghi, S.H.R., T. Mizuyama, S. Miyata, T. Gomi, K. Kosugi, T. Fukushima, S. Mizugaki and Y. Onda. 2008. Determinant factors of sediment graphs and rating loops in a reforested watershed. Journal of Hydrology, 356: 271–282. 28. Sadeghi, S.H.R., T. Mizuyama, J.K. Singh and B. Tofighi. 2009. Applicability of instantaneous unit sediment graph model in an Iranian large watershed. International Journal of Ecological Economics and Statistics, USA, 13(W09): 30-45. 29. Sadeghi, S.H.R. and P. Saeidi. 2010. Reliability of sediment rating curves for a deciduous forest watershed in Iran. Hydrological Sciences Journal, 55(5): 821–831. 30. Sadeghi, S.H.R. and J.K. Singh. 2005. Development of a synthetic sediment graph using hydrological data. Journal of Agricultural Science and Technology (JAST), 7: 69-77. 31. Sadeghi, S.H.R. and B. Tofighi. 2003. Applicability of tim-area model in development of sediment rating curve. Bulletin of Khazar Agriculture Sciences and Natural Resources, 1(1): 54-66 (in Persian). 32. Sadeghi, S.H.R., L. Gholami and A. Khaledi Darvishan. 2012. Simulation feasibility of sedimentgraphs, using time-area model. Watershed Management Research (Pajouhesh and Sazandegi), 92: 53-64 (in Persian). 33. Saeidi, P. and S.H.R. Sadeghi. 2009. Capability of regression concept in sedimentgraph simulation. In: Abstracts Proceedings of the 5th National Conference on Watershed Management (Natural Hazards Sustainable Management) Iran, Gorgan, April 22 and 23, 2009: 56 (Full paper published in CD, 6 p) (in Persian). 34. Saeidi, P. and S.H.R. Sadeghi. 2010. Analysis of observed sedimentgraphs and rating loops on storm basis in educational watershed of Tarbiat Modares university, Iran. Journal of Water and Soil Conservation, 17(1): 97-112 (in Persian). 35. Sayer, A.M., R.P.D. Walsh and K. Bidin. 2006. Pipe flow suspended sediment dynamics and their contribution to stream sediment budgets in small rainforest catchments, Sabah. Malaysia, Forest Ecology and Management, 224: 119–130. 36. Singh, P.K., M.K. Jain and S.K. Mishra. 2013. Fitting a simplified two-parameter gamma distribution function for synthetic sediment graph derivation from ungagged catchments. Arabian Journal of Geosciences, 6(6): 1835-1841. 37. Singh, P.K., P.K. Bhunya, S.K. Mishra and U.C. Chaube. 2008. A sediment graph model based on SCS-CN method. Journal of Hydrology, 349: 244–255. 38. Singh, V.P. 1992. Elementary hydrology. Economy Edition,New Delhi, India, 973 pages. 39. Telvari, A., N. Birodian and E. Manoochahri. 2008. Model development of sediment time variability in Garan watershed, Kordestan province. Pajouhesh and Sazandegi, 75: 64-70 (in Persian). 40. Walling, D.E., A.L. Collins, H.A. Sichingabula and G.J.L. Leeks. 2001. Integrated assessment of catchment suspended sediment budgets: A Zambian Example. Land Degradation and Development, 12: 387-415. 41. Walling, D.E. and B.W. Webb. 1982. Sediment availability and the prediction of storm-period sediment yields. Recent developments in the explanation and prediction of erosion and sediment yield, IAHS Publication, 137: 327–337. 42. Williams, J.R. 1978. Sediment graph model based on an instantaneous unit Sediment graph. Water Resources Research, 14(4): 659-664. | ||
|
آمار تعداد مشاهده مقاله: 1,153 تعداد دریافت فایل اصل مقاله: 843 |
||