پهنه‌بندی شرق حوضه دریاچه ارومیه از نظر دیم با معرفی شاخص‌های ارزیابی دیم

نوع مقاله : مقاله پژوهشی

نویسندگان

1 1- دانشجوی کارشناسی ارشد گروه مهندسی منابع آب، دانشکده کشاورزی، دانشگاه تبریز

2 2- استاد، گروه مهندسی آب، دانشکده کشاورزی، دانشگاه تبریز

3 3- دانشیار، گروه مهندسی آب، دانشکده کشاورزی، دانشگاه تبریز

4 4- استادیار، گروه مهندسی آب، دانشکده کشاورزی، دانشگاه تبریز

چکیده

برای کاهش نابودی منابع آبی و در عین حال رفع نیازهای غذایی آینده مردم، جایگزینی کشت دیم به­جای اراضی آبی اجتناب­ناپذیر خواهد بود. با توجه به اهمیت بخش کشاورزی، تعیین شاخص­هایی جهت شناسایی مناطق حاصل­خیز برای کشت گندم دیم، ضروری به­نظر می­رسد. بدین­منظور برای ارزیابی عملکرد دیم منطقه شرق دریاچه ارومیه با استفاده از مقدار عمق آبیاری، دور آبیاری، نسبت بارش به فواصل زمانی و مقدار بارش، شاخص­های نسبت فاصله و نسبت فاصله جزیی جهت شناسایی مناطق مستعد عملکرد دیم معرفی شد. خوشه­بندی شاخص­های تعیین شده و عملکرد دیم با روش K-means صورت گرفت که پهنه­بندی منطقه شرق دریاچه ارومیه با خوشه­های به­دست آمده برای شاخص­ها در محیط GIS انجام گردید. نتایج پهنه­بندی نشان داد که از بین دو شاخص معرفی شده، شاخص نسبت فاصله­جزیی با واقعیت منطقه یعنی عملکرد دیم منطقه هم­خوانی بیشتری دارد. بنابراین این شاخص برای ارزیابی مناطق دیم، انتخاب شد. برای شناسایی مناطق حاصل­خیز دیم منطقه از خطوط هم­عملکرد و هم­شاخص (شاخص نسبت فاصله جزیی) استفاده گردید. نتایج نشان داد در نواحی شمال غربی و مرکزی منطقه مورد مطالعه، میزان عملکرد و میزان شاخص نسبت فاصله جزیی افزایش می­یابد که بیان­گر پتانسیل دیم در این نواحی می­باشد. بنابراین مناطق مستعد دیم منطقه مورد مطالعه، با این شاخص معرفی شده نواحی مرکزی و شمال غربی است.
 

کلیدواژه‌ها

عنوان مقاله [English]

Rainfed based Regionalization of the East Part of Urmia Lake Basin through Introducing Rainfed Evaluation Indices

نویسندگان [English]

  • P Mohammadi 1
  • A Fakheri Fard 2
  • Y Dinpazhoh 3
  • E Asadi 4
1 1- M.Sc. Student, Dept. Of Water Resources Engineering, Faculty of Agric., Univ of Tabriz, Iran
2 2- Prof., Dept of Water Engineering, Faculty of Agric., Univ of Tabriz, Iran
3 3- Associate Prof., Dept of Water Engineering, Faculty of Agric., Univ of Tabriz, Iran
4 4- Assistant Prof., Dept of Water Engineering, Faculty of Agric., Univ of Tabriz, Iran
چکیده [English]

For reducing the destruction of water resources and for resolving the future populations, needs for food, the replacement of rainfed farming instead of water farming will be inevitable. According to the importance of the agricultural sector, determining indices to identify the fertile lands for cultivation of rainfed wheat is essential. For this purpose, to evaluate the yield of rainfed crop at the East part of Lake Urmia, two indices Interval Ratio and Partial Interval Ratio, for identification of the eligible areas for rainfed farming, were introduced using irrigation depth, irrigationintervals, and daily rainfall in corresponding with the time intervals. Clustering of the indices and yield of rainfed area were done with a K-means method. Regionalization of the obtained clusters for the yield and indices were done in GIS environment. Results of the regionalization showed that between the two introduced indices the Partial Interval Ratio index has the more compatibility to region reality, So the Partial Interval Ratio index selected for evaluating the rainfed regions. To identify the fertile rainfed regions of crop yield, the isoline of the yield of rainfed and index (Partial Interval Ratio index) was used. The results showed that in the northwest and central parts of the studied area the yield and Partial Interval Ratio index were increased, which indicated the good potential of rainfed farming in these areas. Therefor the fertile regions based on the introduced index were at the central and northwest parts of the studied area.

کلیدواژه‌ها [English]

  • Keywords: Clustering
  • East part of Urmia Lake
  • Rainfed
  • Regionalization
  • Yield

مراجع

 
 
Allen RG, Pereira LS, Reas D and Smith M, 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage 56.
Bannayan M, Eyshi rezaei E and Hoogenboom G, 2013. Determining optimum planting dates for rainfed wheat using the precipitation uncertainty model and adjusted crop evapotranspiration. Agricultural Water Management 126: 56-63.
Bidadi M J, Kamkar B, Abdi O and Kazemi H, 2015. Land suitability analysis on rainfed wheat cropping using geospatial information systems (A case study: Qaresoo Basin). Journal of Agriculture Science and Sustainable Production. 25 (1):131-143.
Carranza CD, Bautita F, Lanza RO and Hernandez HR, 2011. Classification and agro climatic zoning, using the relationship between precipitation and evapotranspiration in the state of Yukatan, Mexico. Investigations Geograficas, Boletin Del Instituto De Geografía 75 (4): 51-60.
Doorenbos J and Kassam AH, 1979. Yield Response to Water. FAO Irrigation and Drainage 33, Rome, Italy.
Doorenbos J. and Pruitt WO, 1977. Crop Water Requirements. FAO Irrigation and Drainage 24, Rome, Italy.
Droogers P, Seckler D and Makin I, 2001. Estimating the potential of rain-fed agriculture. IWMI Working Paper 20, Colombo, Sri Lanka, International Water Management Institute.
Feizizadeh B, Abdali H, Rezaei Banfsheh M and Mohammadi G H, 2012. Zoning of susceptible area to rainfed wheat in the Eastern Azerbaijan province by Geospatial analysis of. Agronomy Journal 96: 75-91.
Hasheminasab F, Mousavi baygi M, bakhtiari B, Bannayan M, 2014. The Effects of Rainfall on Dryland Wheat Yield and Water Requirement Satisfaction Index at Different Time Scales. Journal of Irrigation and Water Engineering. 17: 1-13.
Hosking JR and Wallis JR, 1993. Some statistics useful in regional frequency analysis. Water Resource Research 29 (2): 271- 281.
Kamali GH A, Sedighianipoor A, Sedaghtkerdar and Asgari GH, 2008. The climatic zoning of dryland wheat in Eastern Azerbaijan. Journal of Water and Soil. 22 (2): 467-483.
Kamali Gh, Mollaei P and Behyar M, 2010. Development of Zanjan Province Dry Land Wheat Atlas by using Climatic Data and GIS. Journal of Water and Soil. 24 (5): 894-907.
Koolaiyan A and Gholami Sefidkouhi M. 2012. Introduction of the best method for determining the effective rainfall of rice cultivation in Ghaemshahr city. Third National Conference on Integrated Water Resources Management. University of Agricultural Sciences and Natural Resources, Sari, Iran.
Macqueen J, 1967. Some methods for classification and analysis of multivariate observation. Pp.281-297. In Proceeding of the 5th Berkeley symposium on Mathematical Statistics and Probability. Berkeley, CA: University of California. 
Majnouni Harris A and Asadi E, 2013. Principles and concepts of irrigation. Amidi Publishing, Tabriz.
Momeni, 2014. Clustering of data (cluster analysis). Mansour Momeni, Tehran
Mousavi Baigi M, Ashraf B, Ramezan zade Hojabr F, 2013. Identification of susceptible areas and determination of the suitable date of cultivation of wheat in rainfed regions of Khorasan Razavi province. Journal of Applied Field Crops Research. 99: 131-140.
Norwood CH, 2000. A dry land winter wheat as affected by previous crops. Agronomy Journal 92(1):121-127.
Parracho AC, Melo-Goncalves P and Rocha A, 2016. Regionalization of Precipitation for the Iberian Peninsula and Climate Change. Physics and Chemistry of the Earth, Parts A/B/C 94: 146-154.
Ramezani Etemadi H, Liaqat A, Parsinejad M, Tavakoli A and Bozorg Haddad O, 2012. Development of optimal water allocation model in hydroponic and dry land for increasing economic efficiency. Ph.D. Department of Irrigation and Drainage, Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran.
Sedghianipoor A, 2008. The climatic zoning of dryland wheat in Eastern Azerbaijan, Master's Degree, Islamic Azad University, Science and Research of Tehran.
Sharma BR, Rao KV, Vittal KP, Ramakrishna YS and Amarasinghe U, 2010. Estimating the potential of rainfed agriculture in India: Prospects for water productivity improvements. Agricultural Water Management 97(1): 23-30.
Yu PS and Yung TC, 1996. Synthetic regional flow duration curve for Southern Taiwan. Hydrological Processes 10 (3): 373-391.
 
 
دانش آب و خاک
دوره 27، شماره 4
دی 1396
صفحه 121-133

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