نوع مقاله : کاربردی

نویسندگان

دانشگاه محقق اردبیلی

چکیده

امروزه تهیه‌ی نقشه­های کاربری اراضی با استفاده از داده­های سنجش از دور به عنوان یکی از مهم­ترین و پرکاربردترین روش­ها جهت تولید نقشه­های کاربری اراضی و همچنین ارزیابی کاربری با یکدیگر است. نبود زیر ساخت­های مناسب، رعایت نکردن قوانین قابلیت توسعه‌ی زمین در انتخاب کردن کاربری­ها و مدیریت غیر اصولی آن منجر به وقوع پدیده‌ی فرسایش خاک می­شود هدف از تحقیق حاضر تهیه‌ی نقشه­های کاربری اراضی با استفاده از روش شئ­گرا و همچنین تهیه‌ی نقشه­های پهنه­بندی فرسایش خاک حوضه‌ی آبریز زرینه­رود برای سال­های 2000 و  2018 ماهواره لندست با استفاده از روشWLC  که یکی از روش‌های تصمیم‌گیری چندمعیاره می‌باشد صورت گرفت. نتایج بدست آمده از تغییرات کاربری اراضی با استفاده از طبقه‌بندی شئ‌گرا نشان داد که بیشترین مقدار روند افزایشی مساحت برای کاربری‌های کشاورزی دیم و کشاورزی آبی می‌باشد. این افزایش دو کاربری به ترتیب برابر با 28/18 و 4 درصد افزایش از کل حوضه مورد نظر را در بر می­گیرد. روند تغییرات کاربری­های بایر، مرتع غنی و متوسط، به مرور زمان به نحوی کاهشی بوده است که به طوری که به ترتیب مساحت 04/14، 66/10و 73/5 درصد کاهش داشته است. کاربری انسان ساخت در طول زمان با روندی تقریبا یکنواخت در حال افزایش است که این نوع افزایش در طول 18 سال برابر با 47/2 درصد رشد داشته است. نتایج بدست آمده از نقشه­های تولید شده پهنه­بندی فرسایش سال 2000 و 2018  نشان داد که دو طبقه بسیار پر خطر و پر خطر (منظور طبقاتی هستند که به ترتیب دارای بیشترین پتانسیل فرسایش خاک در حوضه‌ی آبریز زرینه­رود را دارند) که هر کدام 29/15 و 51/27 درصد از منطقه را در برگرفته­اند. این طبقات بیشتر در کاربری­های کشاورزی دیم، کشاورزی آبی، بایر و مرتع متوسط واقع شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Investigation of land use changes in Zarrineh Rud catchment and its effect on soil erosion using WLC model

نویسندگان [English]

  • fariba esfandiyari darabadi
  • hadi rafiei mahmoodjagh
  • roya farzaneh

mohaghegh ardabili university

چکیده [English]

Today, the preparation of land use maps using remote sensing data is one of the most important methods for producing land use maps and land use assessment together.
Lack of proper infrastructure, non-observance of land development capability in selecting land uses and its unprincipled management leads to the phenomenon of soil erosion.
The purpose of this study is to prepare land use maps using object-oriented method and to prepare soil zoning maps of Zarrineh Rud catchment for 2000 and 2018 Landsat satellite using WLC method. The results showed the detection of changes from object-oriented classification
The highest rate of change in rainfed and irrigated agricultural land uses has been faced with the largest increase in area in the region.
The trend of changes in barren land uses, rich and medium rangeland, has been decreasing over time, so that the area has decreased by 14.04, 10.66 and 5.73 percent, respectively.
Man-made use has been increasing almost uniformly over time, which has grown by 2.47% over 18 years.
The results obtained from the erosion zoning maps produced in 2000 and 2018 showed that there are two very high-risk and high-risk classes, each covering 15.29 and 27.51 percent of the area. These classes are mostly located in rainfed, irrigated, barren and medium range agricultural uses.

کلیدواژه‌ها [English]

  • WLC method
  • Zarrinehroud catchment
  • Object-Oriented Classification
  • Landsat
 
Abreham Berta, A., Eyasu, E., Teshome, S., Gudina. L. (2019). Land use/land cover change effect on soil erosion and sediment delivery in the Winike watershed. Omo Gibe Basin. Ethiopia. Science of the Total Environment, Vol. 728, Issue1-7, 412-421.
Asghari Saraskanrood, S., Activist Naziri, M., Ardeshir Pi. A.A. (1398). Investigation of the effects of land use on soil erosion with WLC algorithm (Case study: Aghlaghan Chay watershed). Environmental erosion research. 9: 2 (34). Summer 1398, 71-53.
Asghari Saraskanrood, S., Palizban, D., Victory, E. (1397). A Comparative Study of Land Use Changes and Its Impact on Erosion Rate Using Object Oriented Classification Method in Simbaneh River Buchan Basin, Environmental Erosion Research, 1: 8 (29) Spring 1397, 94-109.
Azarakhshi, M.A., Masaedi, M., Bashiri, R., Ojaghlou, Sh. (1396). The effect of rainfall and land use changes on sediment production. Case area: Poplar-Torbat Heydariyeh watershed (Journal of Watershed Management Science and Engineering). 11 (37): 33-25.
Bai, X., Sharma, R.C., Tateishi, T.R.A. (2017). Detailed and HighResolution Land Use and Land Cover Change Analysis over the Past 16 Years in the Horqin Sandy Land, Inner Mongolia, Mathematical Problems in Engineering, pages doi.org/10.1155/2017/1316505.
Bouaziz, M., Leidiy, M., Gloaguen, R. (2011). Optimal parameter selection for qualitative regional erosion risk monitoring Aremotoe sensing study of sc Ethiopia: Geosctence fron tiers, 2(2): 237-245.
Cream, A.A. Safarian, SH., Foroshnia, H. (2010). Estimation and zoning of soil erosion in Mamlu Basin (East of Tehran) using modified global equation - - methods of soil erosion and hierarchical analysis process, Journal of Earth Knowledge Research.
Esam, I.F., Abdalla and N. Erich (2012). Land Use and Land Cover Changes of West Tahta Region. Sohag Governorate, Upper Egypt. Journal of Geographic Information System. 4: PP. 483-493.
Esfandiari, M.A., Moeini, and R. Holy (2014). Investigating the Impact of Land Use and Vegetation Due to Erosion Forms and Sediment Production Rate (Case Study: Waters River Basin, Qazvin Province), Geographical Quarterly of Land 1 (42) 51-62.
Feizizadeh. B. (2017). Modeling the Trends of the Land Use Cover Change and Its Impacts on the Erosion System of the Allavian Dam Based on the Remote Sensing and GIS Techniques, Hydrogeomorphology. 3 (11), 21-38. (In Persian).
Hassani Tabar. S. M and Jafarzadeh. J. (2016). a new step in the processing of satellite images (basics and application) ENVI 5.3. Tehran; Bells.
Huang, C., Davis, L.S. & Townshend, J.R.G. (2008). An assessment of support vector machines for land cover classification. International Journal of remote sensing, 23(4), 725-749.
Joyzadeh, S., Qamarzadeh, M., Ebrahimi, M. and Shamsabadi, M. (2017). ENVI (Basic and Advanced) Applied Training. Tehran; Kian University Press.
Lillesand, T. Kiefer, R.W., Chipman, J. (2001). Remote sensing and image interpretation, 6th Edition, Wiley Publication, Washington.
Malchevsky, I. (2006). Translated by A. Pizhizkar et al. Ghaffari Gilandeh. Geographic Information System and Multi-criteria Decision Analysis. First Edition. Publications Side. 597-622.
Martínez-Murillo M J.F. Lopez Vicente M Poesen J. Ruiz Sinoga J.D. (2011). Modelling the effects of land use changes on runoff and soil Eerosion in two Mediterranean catchments with active gullies (South of Spain). Landform Analysis.17 (1): 99–104.
Mousavi. H. Ranjbar. A. & M. Haseli. (2014). Monitoring and Trending of Landuse Changes in Abarkooh Basin using Satellite Images (1976-2014). The Journal of Geographical Data (SEPEHR). 25(97). 129-146. (In Persian).
Mousavi, M.N., Sarley, R., Khodadad, M. (1397). Detection of land use changes and vegetation in Poldakhtar city using Landsat satellite images. No. 26 Rials. year 7, pp. 103-115.
Myint, S.W., Gober, P., Brazel, A., GrossmanClarke, S. & Weng, Q. (2011). Per-pixel vs. objectbased classification of urban land cover extraction using high spatial resolution imagery. Remote sensing ofenvironment. 115(5). 1145-1161.
Noori, S. (2004). Determination of the best vegetation indexes for assessing Mazandaran rangeland. Master thesis. Tarbiat Modarres University. 128 pp. (in Persian)
Ota Henry O. Eyasu E. (2020). Effect of land use land cover changes on the rate of soil erosion in the Upper Eyiohia river catchment of Afikpo North Area. Nigeria. Environmental Challenges, 1(10) 1-9.
Riahi, M.R., Soleimani, K., Mousavi, S.R. and Masoumeh, B.H. (1396). Study of the effect of land use change on river discharge using HEC-HMS model Case study: Laksha Neka River watershed, Iranian Journal of Water Research, Vol. 11, Pp. 33-43.
Saghafi, M., and Abolfazl, R. (2017). Estimation of Estimation of Changes in Wind Erosion Zones Using IRIFR Model and Land Use Extraction and Land Cover Model from Satellite Images Case Study: Majan County, South Khorasan. Geographical Space. No. 59, pp. 165-185.
Santos, J.C.N, Andrade, E.M., Medeiros, P.H.A., Joao, M. (2017). Land use impact on soil erosion at different scales in the Brazilian semi-arid. Revista Ciencia Agronomica48 (2): pp. 251-260.
Sanjari, S., Boromand, N. (1392). Monitoring land use changes in the last three decades using remote sensing techniques (Case study: Zarand region of Kerman province). Journal of Remote Sensing and GIS in Natural Resources Sciences, 4 (1): 67-57.
Sui, D.Z. (1999). A Fuzzy GIS Modeling Approach for Urban Land Evaluation. Computer. Environment and Urban Systems. 16(1), 101-11.
Tripathi, DK and Kumar, M. (2012). Remote Sensing based analysis of land Use/land cover dynamics in Takula Block. Almora district (Uttarakhand). Journal of Human Ecology. 38(3): 207-21.
Talebi Khiavi, H., Zabihi, M. and Mostafazadeh, R. (1396). The effect of different land use management scenarios on soil erosion using USLE and GIS models in the watershed of Ardabil Yamchi Dam, Journal of Soil and Water, No. 80, pp. 221-234 .
Yan, GAO. (2003). Pixel Based and Object Oriented Image for Coal Fire Research. http://www.ITC.com (accessed in July 2008). pp. 3-99.