| تعداد نشریات | 286 |
| تعداد نشریات سازمان | 84 |
| تعداد شماره‌ها | 2,846 |
| تعداد مقالات | 32,300 |
| تعداد مشاهده مقاله | 41,386,758 |
| تعداد دریافت فایل اصل مقاله | 18,562,084 |
برآورد شمارهی منحنی و ارتفاع رواناب در محیط Arc GIS با ابزار Arc CN-Runoff در ﺣﻮزه‌ی آﺑﺨﯿﺰ نازلوچای ارومیه | ||
| پژوهش های آبخیزداری | ||
| مقاله 5، دوره 31، شماره 2 - شماره پیاپی 119، تیر 1397، صفحه 41-49 اصل مقاله (763.38 K) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmej.2018.120753.1083 | ||
| نویسندگان | ||
| حبیب نظرنژاد* 1؛ الهام محرم پور2؛ سیاوش بابایی3 | ||
| 1معاون آموزشی و هیات علمی دانشکده منابع طبیعی دانشگاه ارومیه | ||
| 2کارشناس ارشد آبخیزداری | ||
| 3کارشناسی ارشد آبخیزداری | ||
| چکیده | ||
| ﺗﺨﻤﻴﻦ توان ارﺗﻔﺎع رواﻧﺎب ﻧﻘﺶ ﻣﻬﻤﻲ در ﻣﺪﻳﺮﻳﺖ و پیش‌بینی سیل‌خیزی هر ﻣﻨﻄﻘﻪ دارد. سازمان حفاظت خاک آمریکا روشی اراﺋﻪ داده اﺳﺖ ﻛﻪ ﺑﺮای حوزه‌های بی‌آﻣﺎر ﺑﺴﻴﺎر ﻣﻨﺎﺳﺐ است. روش‌های مرسوم اندازه‌گیری رواناب بسیار پرهزینه و وقت‌گیر و مشکل است. این پژوهش ﺑﺎ ﻫﺪف ﻣﺤﺎﺳﺒﻪی توان سیل‌خیزی و ﺗﺮﺳﯿﻢ ﻧﻘﺸﻪی ﺷﻤﺎره‌ی ﻣﻨﺤﻨﯽ حوزه‌ی آبخیز نازلوچای با روش سازمان حفاظت خاک آمریکا اﻧﺠﺎم ﺷﺪ. ﻧﻘﺸﻪی ﻛﺎرﺑﺮی زمین‌های ﻣﻨﻄﻘﻪ ﺑﺎ ﺟﺪول ﺷﺎﺧﺺ ﻣﻘﺎﻳﺴﻪ، و ﺑﺎ اﻃﻼﻋﺎت ﮔﺮوه آب‌شناسی ﺧﺎک تلفیق شد و شمارهی منحنی رواناب که عامل مهمی در روش سازمان حفاظت خاک آمریکا است، به‌دست آمد. در گام بعد، با لحاظ کردن میانگین بارش و شمارهی منحنی رواناب، ارتفاع رواناب محدوده محاسبه و نتایج به‌صورت دو نقشه‌ی شمارهی منحنی رواناب و ارتفاع رواناب، پهنه‌بندی شد. با استفاده از سامانه‌ی پردازش اطلاعات جغرافیایی، متوسط وزنی شمارهی منحنی حوزه 77/96 برآورد شد. نتایج نشان داد که بیشترین مقدار شمارهی منحنی رواناب در شرایط رطوبتی متوسط در منطقه 100 و کمترین آن 56 است. زیاد ﺑﻮدن ﻣﻘﺪار ﻣﺘﻮﺳﻂ وزﻧﯽ ﺷﻤﺎره‌ی ﻣﻨﺤﻨﯽ ﺣﻮزه ﻧﺸﺎنه‌ی ﻧﻔﻮذﭘﺬﯾﺮی ﮐﻢ آن، و اﻓﺰاﯾﺶ اﺣﺘﻤﺎل وﻗﻮع سیل است. | ||
| کلیدواژه‌ها | ||
| ارتفاع رواناب؛ ﺳﺎﻣﺎﻧﻪی اﻃﻼﻋﺎت ﺟﻐﺮاﻓﯿﺎﯾﯽ؛ ﺷﻤﺎره‌ی ﻣﻨﺤﻨﯽ؛ ﮔﺮوه آب‌شناسی ﺧﺎک | ||
| عنوان مقاله [English] | ||
| Estimation of the Curve Number and Runoff Height Using Arc GIS Software with the Arc CN-Runoff Tool (Case study: Nazluchai Basin of Urmia) | ||
| نویسندگان [English] | ||
| Elham Moharampour2؛ Siavash Babaei3؛ | ||
| 2M. Sc. of Watershed management | ||
| 3M.Sc. of Watershed Management | ||
| چکیده [English] | ||
| Estimating the runoff height potential is important for managing and predicting the flooding of an area. In this regard, the US Soil Conservation Agency (SCS) has provided a method that is very suitable for areas lacking hydrological data. Conventional runoff measurement methods are very costly, time consuming and difficult. The purpose of this study was to calculate the flooding potential and draw a map of the Nazlouchai Watershed curve number by the SCS method. Land use map of the area was compared with the index table and integrated with the soil hydrologic group data, and the runoff curve number, an important factor in the SCS method, was obtained. In the next step, the average rainfall curve number, and runoff height were calculated, and the results were zoned according to the curve number and runoff height maps. Using the Geographic Information System, the average weight of the area curve number was estimated as 96.77. Results showed that the highest amount of runoff curve number under the average humidity conditions in the study area was 100, and the lowest value was 56.00. The high mean value of the area curve number indicates the low permeability of the area, which indicates the strong likelihood of flood occurrence. | ||
| کلیدواژه‌ها [English] | ||
| runoff height, Geographic Information System, curve number, soil hydrology group | ||
| مراجع | ||
|
Afshari Azad MR, Porky H. 2013. Estimation of surface runoff in Rasht. Geographical Space. 12(37): 121–140. (In Persian). Ahmadi Nedoshan M, Sofianian A, Khajeddin SJ. 2015. Land cover changes in Arak city using remote sensing and GIS. Journal of Environmental Science and Technology. 16(1): 381–393. (In Persian). Ahmadi-Sani N, Babaie-Kafaky S, Pukkala T, Mataji A. 2016. Integrated use of GIS, remote sensing and multi-criteria decision analysis to assess ecological land suitability in multi-functional forestry. Journal of Forestry Research. 27(5): 1127–1135. (In Persian). Babykalpana Y, Thanushkodi K. 2011. Classification of land use/ land cover change detection using remotely sensed data. International Journal on Computer Science and Engineering. 3(4): 1638–1644. Costache R, Fontanine I, Corodescu E. 2014. Assessment of surface runoff depth changes in Saraţel River Basin. Romania using GIS techniques. Central European Journal of Geosciences. 6(3): 363–372. Dams J, Dujardin J, Reggers R, Bashir I, Canters F, Batelaan O. 2013. Mapping impervious surface change from remote sensing for hydrological modeling. Journal of Hydrology. 485: 84–95. Fang NF, Zhi-Hua Sh, Lu L, Zhong-Lu G, Qian-Jin L, Lei A. 2012. The effects of rainfall regimes and land use changes on runoff and soil loss in a small mountainous watershed. Catena. 99: 1–8. Fichera CR, Modica G, Pollino M. 2012. Land classification and change detection analysis using multi-temporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing. 45(1): 1–18. Ghaffari Gilandeh A, Sobhani B, Babakandi E. 2017. Estimate of curve number and runoff height in Arc-GIS (Case study: Meshkinshahr City). Hydrogeomorphology. 3(9): 159–175. (In Persian). Ghoie S. 2016. Erosion risk assessment using network analysis and geographic information system in Cham Bagh-Khorramabad watershed. M.Sc. thesis. Department of Geomorphology. Shahid Beheshti University. 130 pp. (In Persian). Green C, Diepernk G, Hegger D, Pettersson M, Priest S, Tapsell S. 2013. Flood risk management in Europe: The flood problem and Interventions, Star Flood. Volume 1: 101 p. Utrecht University. Hasani M, Malekian A, Rahimi M, Samiei M, Khamoshi M. 2013. Effectiveness of some baseline separation methods in rivers of arid and semiarid regions. Aridboim. 2(2): 10–22. (In Persian). Hejazi AA, Mazbani M. 2015. Estimation of height and maximum discharge of runoff using curve number method. Hydro geomorphology. 2(5): 63–81. (In Persian). Jain SK, Goswami A, Saraf A. 2010. Assessment of snowmelt runoff using remote sensing and effect of climate change on runoff. Water Resource Management. 4(9): 1763–1777. Javadi MR, Mirdar Harijani F, Chatr Simab Z. 2012. Estimating runoff height using curve number method in ArcGIS with Arc CN-Runoff tool (Case study: Azadrud Watershed). Application of Remote Sensing and Geographic Information Systems in Planning. 2(3): 55–62. (In Persian). Korres W, Schneider K. 2018. GIS for hydrology In: Huang, B. (Ed.), Comprehensive Geographic Information Systems. 2: 51–80. Oxford: Elsevier. Lagadec LR, Patrice P, Braud I, Chazelle B, Moulin L, Dehotin J, Breil P. 2016. Description and evaluation of a surface runoff susceptibility mapping method. Journal of Hydrology. 541: 495–509. Mahdavi M. 2015. Applied hydrology. Tehran University Press. 360 P. (In Persian). Mallikarjuna V, Prasad RK, Udaya B, Sai L. 2012. Watershed modeling of Krishna Delta, using GIS and remote sensing techniques. International Journal of Engineering Research and Applications. 4(11): 4539–4545. Mohammadi M, Khazaei S, Sheikh VB. 2012. Using GIS to estimate runoff height using curve number method. Geomatics Conference. 15-17 May, Tehran. 1–8. (In Persian). Molayi A. 2003. Assessment of curve number for estimation of runoff volume using GIS. Proceeding of 6th International Conference on River engineering. Shahid Chamran University. 1139–1144. Nayak RT, Jaiswal RK. 2003. Rainfall-Runoff modeling using satellite data and GIS for Bebas River in Madhta Pradesh. Journal of the Institution of Engineers. 84: 47–50. Nkwunonwo UC, Whitworth M, Baily B. 2015. A review and critical analysis of the efforts towards urban flood reduction in the Lagos Region of Nigeria. Nat. Hazards Earth Syst. Sci. Discuss. 16(2): 349–369. Pachri H, Mitani Y, Ikemi H, Djamaluddin I, Morita A. 2013. Development of water management modeling by using GIS in Chirchik River Basin. Procedia Earth and Planetary Science. 6: 169–176. Panhalkar S. 2014. Hydrological modeling using SWAT model and geoinformatic techniques. The Egyptian Journal of Remote Sensing and Space Sciences. 17(2): 197–207. Sajikumar N, Remya RS. 2015. Impact of land cover /land use change on runoff characteristics. Journal of Environmental Management. 161: 468–460. Salih AA, Hamid AA. 2017. Hydrological studies in the Nile State in Sudan. Egyptian Journal of Remote Sensing and Space Science. 20(1): 31–38. Ward PJ, Eisner S, Florke M, Dettinger MD, Kummu M. 2014. Annual flood sensitivities to El Nino-southern oscillation at the global scale. Hydrology and Earth System Sciences. 18(1): 47–66. Yin J, He F. 2012. Researching relationship between the change of vegetation cover and runoff based on RS and GIS. Procedia Environmental Sciences. 12: 1077–1081. Zhan X, Huang ML. 2004. ArcCN-Runoff: A tool for generating curve number and runoff maps. Environmental Modeling and Software. 19(10): 875–879. | ||
|
آمار تعداد مشاهده مقاله: 832 تعداد دریافت فایل اصل مقاله: 888 |
||