| تعداد نشریات | 284 |
| تعداد نشریات سازمان | 82 |
| تعداد شماره‌ها | 3,050 |
| تعداد مقالات | 34,082 |
| تعداد مشاهده مقاله | 46,549,447 |
| تعداد دریافت فایل اصل مقاله | 77,602,523 |
تأثیر حالت های ممکن تغییر کاربری زمین بر روان‌آب با مدل وِتسپا با روی‌کرد تخصیص سنجه در آبخیز کارخانه، استان همدان | ||
| پژوهش های آبخیزداری | ||
| مقاله 9، دوره 35، شماره 1 - شماره پیاپی 134، فروردین 1401، صفحه 105-118 اصل مقاله (1.69 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmrj.2021.355416.1428 | ||
| نویسندگان | ||
| مریم دشتی مرویلی* 1؛ عبدالرضا بهره مند2؛ محسن حسینعلی زاده3؛ میثم سالاری جزی4 | ||
| 1دانشجوی دکترای گروه آبخیزداری، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گلستان، ایران | ||
| 2دانشیار گروه آبخیزداری، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گلستان، ایران | ||
| 3دانشیار گروه آبخیزداری و مدیریت منطقه‌های بیابانی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گلستان، ایران | ||
| 4دانشیار گروه مهندسی آب، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گلستان، ایران | ||
| چکیده | ||
| تغییر کاربری زمین یکی از مهمترین تأثیرهای انسان در چرخه‌ی آبشناسی حوزه‌ها است. مدیریت نااصولی حوزه‌های آبخیز باعث افزایش حجم روان‌آب و روی‌دادن سیلاب میشود. هدف این پژوهش بررسی اثر تغییر کاربری زمین بر روان‌آب آبخیز کارخانه با روی‌کرد تخصیص سنجه است. با تخصیص سنجه می‌توان سرعت واسنجی مدل را افزایش داد. این سنجه‌ها با دانش به‌دست آمده از تجزیه‌تحلیل حساسیت سنجه‌ها، شرایط منطقه، فرآیندهای آبشناسی و تجربه‌های کاربر مدل تخصیص داده میشود. نتیجه‌های به‌دست‌آمده از ارزیابی مدل وتسپا با روی‌کرد تخصیص سنجه برای شبیه‌سازی جریان با معیار ارزیابی نش-ساتکلیف 60/18 % و معیار کلینگ-گوپتای 76 % بود. با این معیارها، کارآیی مدل در روی‌کرد تخصیص سنجه مناسب بود، و در اعتبار سنجی نتیجه‌های منطقی و باثباتی نشان داد. تأثیر تغییر کاربری زمین بر روان‌آب آبخیز کارخانه مشهود است، به‌طوری که آب‌دهی اوج در حالت بدبینانه‌‌ی دو 15/74% افزایش، و در حالت خوش‌بینانه‌ی سه 11/33% کاهش داشت. | ||
| کلیدواژه‌ها | ||
| استان همدان؛ تخصیص سنجه؛ تغییر کاربری زمین؛ روان‌آب؛ مدل وِتسپا | ||
| عنوان مقاله [English] | ||
| The Effect of Land Use Change Scenarios on Runoff Using WETSPA Model with Parameter Allocation Approach in Karkhane Watershed, Hamedan Province | ||
| نویسندگان [English] | ||
| Maryam Dashtimarvili1؛ Abdolreza Bahreman2؛ Mohsen Hoseinalizadeh3؛ Meysam Salarijazi4 | ||
| 1Ph.D. Student, Dept. of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Golestan, Iran | ||
| 2Associate Prof., Dept. of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Golestan, Iran | ||
| 3Associate Prof., Dept. of Watershed and Desert Management, Gorgan University of Agricultural Sciences and Natural Resources, Golestan, Iran | ||
| 4Associate Prof., Dept. of Water Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Golestan, Iran | ||
| چکیده [English] | ||
| The most important human impact on the hydrological cycle of watershed is land use change. Improper management of land use increases the volume of runoff and the frequency of floods. The main purpose of this study is to investigate the effect of land use change on discharge outflow in Karkhane Watershed using the Parameter Allocation Approach. Then, utilizing the philosophy of a modelling framework proposed by Bahremand (2016), we show how calibration of most model parameters can be avoided by allocating or presetting these parameters utilizing knowledge gained from sensitivity analyses, field observations and a priori specifications as a part of a parameter allocation procedure. Evaluation of the WetSpa model performance using the Allocation Parameter Approach to simulate the daily hydrograph based on the Nash-Sutcliffe and Kling-Gupta showed that the values of these criteria are 60.18 percent and 76 percent respectively. Based on this efficiency criterion, the model in the parameter allocation approach has a good performance and shows consistency in the validation period. The results showed that land use change affects the runoff of the Karkhane watershed so that in the pessimistic scenario 2, the peak discharge has increased by 15.74% and in the optimistic scenario 3; the peak discharge has decreased by 11.33. | ||
| کلیدواژه‌ها [English] | ||
| Hamedan province, land use change, parameter allocation, runoff, WetSpa model | ||
| مراجع | ||
|
Abaszade M, Yazdani MR, Zolfaghari AA, Mohammady M, Sadeghipour A. 2018. Effect of land use change on runoff yield using WetSpa model in the Firoozkooh Watershed Basin. Watershed Management Research Journal, 30(4): 35–46. (In Persian). Ahmad Yousefi S, Bahremand A, Sheikh V, Komaki CB. 2019. Determining the snow coefficient in order to simulate the snow melting in the Shemshak Watershed using the WetSpa model. Iranian Journal of Watershed Management Science and Engineering, 13(47): 1–8. (In Persian). Antonetti M, Buss R, Scherrer S, Margreth M, Zappa M. 2016. Mapping dominant runoff processes: An evaluation of different approaches using similarity measures and synthetic runoff simulations. Hydrology and Earth System Sciences. 20(3): 2929–2945. Antonetti M, Scherrer S, Kienzler PM, Margreth M, Zappa M. 2017. Process-based hydrological modelling: The potential of a bottom-up approach runoff prediction in ungauged catchments. Hydrological Processes 31(16): 2902–2920. Antonetti M, Zappa M. 2017. How can expert knowledge increase the realism of conceptual hydrological models? A case study in the Swiss Pre-Alps. Hydrology and Earth System Sciences Discuss 22(8): 4425–4447. Azinmehr M, Bahremand A, Kabir A. 2016. Parameter sensitivity and uncertainty analysis of the model WetSpa in the flow hydrograph simulation using PEST in Dinvar Basin Karkheh. Journal of Watershed Management Research, 7(13):72–82. Bahremand A, De Smedt Florimond C, Jan L, Yong B, Poorova J, Velcicka L, Kunikova E. 2007. WetSpa model application for assessing reforestation impacts on floods in Margecany Hornad Watershed Slovakia. Water Resource Management, 21(1): 1373–1391. Bahremand A, De Smedt F. 2008. Distributed hydrological modeling and sensitivity analysis in Torysa Watershed Slovakia. Water Resources Management. 22(3): 393–408. Bahremand A. 2016. HESS opinions advocating process modeling and de-emphasizing parameter estimation. Hydrology and Earth System Sciences. 20(4): 1433–1445. Bahremand A, Ahmad yousefi S, Sheikh VB, Komaki ChB. 2020. A parameter allocation approach for flow simulation using the WetSpa-Python model. Hydrological Processes. 2020: 1–18. Daraee S, Bahremand A, Karimi H. 2019. Evaluation of the effect of land use changes on subsurface flow using WetSpa model, Case study: Horo-Dehno Watershed. Journal of Watershed Engineering and Management. 11(2): 392–407. (In Persian). Ghafari G, Ghodosi J, Ahmadi H. 2009. The effect of land use changes on watershed hydrology reactions, Journal of Water and Soil Conservation, 16(1):163–180. (In Persian). Ghasemi Amin N, Arman N, Zeinivand H. 2018. Investigating the effects of land use change on the daily flow of the Nojian River with using Clue-s and WetSpa models. Journal of Watershed Engineering and Management. 10(1): 14–27. (In Persian). Gupta HV, Kling H, Yilmaz KK, Martinez GF. 2009. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. Journal of Hydrology, 377(1): 80–91. Henriksen HJ, Troldborg L, Nyegaard P, Sonnenborg TO, Refsgaard JC, Madsen B. 2003. Methodology for construction, calibration and validation of a national hydrological model for Denmark. Journal of Hydrology, 280 (2003): 52–71. Javidan N, Bahremand A, Javidan R, Onagh M, Komaki CB. 2018. Impacts of Land use changes scenarios on water balance components using WetSpa model (Case study: Ziarat Watershed of Golestan Province). Journal of Watershed Management Research, 9(17): 168–181. Kabir A, Mahdavi M, Bahremand A, Noora N. 2011. Application of a geographical information system (GIS) based hydrological model for flow prediction in Gorganrood River Basin. Iran African Journal of Agricultural Research, 6(1):35–45. Karimi H, Zeinivand H, Tahmasebipour N, Haghizadeh A, Miryaghoubzadeh M. 2016. Comparison of SRM and WetSpa models efficiency for snowmelt runoff simulation. Journal of Environmental Earth Sciences, 75(8): 664–680. Kavian A, Mohammadi M, Gholami L, Rodrigo-Comino J. 2018. Assessment of the spatiotemporal effects of land use changes on runoff and nitrate loads in the Talar River. Journal of Water, 10(4): 445–464. Kavian A, Javidan N, Bahrehmand A, Gyasi-Agyei Y, Hazbavi Z, Rodrigo-Comino J. 2020. Assessing the hydrological effects of landuse changes on a catchment using the Markov chain and WetSpa models. Hydrological Sciences Journal, 65(15): 2604–2615. Kling H, Fuchs M, Paulin M. 2012. Runoff conditions in the upper Danube Basin under an ensemble of climate change scenarios. Journal of Hydrology, 424(425): 264–277. DOI: 10.1016/j.jhydrol.2012.01.011. Liu YB, Gebremeskel S, De Smedt F, Hoffman L, Pfister L. 2002. Flood prediction with the WetSpa model on catchment scale eds. Wu et al. Flood Defense 2002. Science Press. New York Ltd. pp. 499–507. Liu Y, Gebremeskel S, De Smedt F, Hoffmann L, fister L. 2003. A diffusive transport approach for flow routing in GIS-based flood modeling, Journal of Hydrology. 283(1–4): 91–106. Liu YB, De Smedt F, Hoffmann L, fister L. 2005. Assessing land use impacts on flood processes in complex terrain by using GIS and modeling approach. Luxembourg Environmental Modeling and Assessment, 9 (2004): 227–235. Miller SN, Kepner WG, Mehaffey MH, Hernandez M, Miller RC, Miller W. 2002. Integrating landscape assessment and hydrologic modeling for land cover change analysis, Journal of the American Water Resources Association. 38(4): 915–929. Mohammady M, Moradi HR, Zeinivand H, Temme AJAM, Yazdani MR, Pourghasemi HR. 2018. Modeling and assessing the effects of land use changes on runoff generation with the CLUE-s and WetSpa models. Theoretical and Applied Climatology, 133(2): 459–471. Moradipor Sh, Bahremand A, Zeinivand H, Najafinejad A. 2015. Distributed simulation of runoff in space and time using Wetspa model in Taleghan Watershed. Journal of Watershed Management Research. 6(12): 55–64. (In Persian). Saadati HAS, Gholami F, Sharifi SA, Ayoubzadeh. 2006. An investigation of the effects of land use change on simulating surface runoff using SWAT mathematical model (Case study: Kasilian Catchment Area). Iranian Journal of Natural Resources. 59(2): 301–313. Sadeghi SH, Ghasemieh H, Sadatinegad SJ. 2015. Simulation of stream flow using a hydrological Model-Distributed WetSpa (Case study: Navrud Basin). JWSS-Isfahan University of Technology, 19 (73): 23–33. Singh N, Punia M. 2018. Geospatial approach for land use/land cover change prediction (A case study of Bhagirathi Basin Uttarakhand INDIA.) In 42nd COSPAR Scientific Assembly. pp. 1–18. Wang S, Kang S, Zhang L, Li F. 2008. Modelling hydrological response to different land use and climate change scenarios in the Zamu River basin of northwest China. Journal of Hydrological Processes. 22(14): 2502–2510. Ying C, Youpeng X, Yixing Y. 2009. Impact of land use change scenarios on storm-runoff generation in Xitiaoxi basin.China. Quaternary International. 2009(208):121–128. Zeinivand H, De Smedt F. 2009. Hydrological modeling of snow accumulation and melting on river basin scale. Water Resources Management. 23(11): 2271–2287. | ||
|
آمار تعداد مشاهده مقاله: 548 تعداد دریافت فایل اصل مقاله: 332 |
||