ارزیابی شاخص خشکسالی رطوبت محصول (CMI) برعملکردگندم دیم مطالعه موردی(حوضه آبریزسیمینه رود دریاچه ارومیه)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دکتری رشته اقلیم کشاورزی دانشگاه خوارزمی تهران

2 استاد آب وهواشناسی دانشگاه خوارزمی تهران

3 کارشناس ارشد سنجش ازدور و GIS دانشگاه تبریز

JGET-2002-1152

چکیده

خشکسالییک  نوع مخاطرهطبیعیاستکهاثراتسوء اقتصادیآندر کشاورزیدیم،سریعترازسایربخشهای کشاورزیاست. این مطالعه با هدف بررسی وضعیت خشکسالی در حوضه آبریز سیمینه رود در چهار ایستگاه سینوپتیک بوکان ، مهاباد، میاندوآب و سقز انجام شده و از سال 2007 تا 2010 مورد بررسی وتجزیه تحلیل قرار گرفته است. در این تحقیق میزان تنش خشکی برعملکرد محصول گندم دیم با استفاده ازشاخص رطوبت محصول پالمر  بصورت هفتگی به دست آمد. نتایج این شاخص نشان دادکهدربازه زمانیپرشدندانهتقریباً بین 20 اردیبهشت تا 15 خرداد مقدار شاخص رطوبت محصول منفی می باشد که نشان از تأثیر خشکسالی بر عملکرد محصول گندم دیم داشته است. ایستگاه سقز در شرایط رطوبتی مطلوب ولی ایستگاههای بوکان، مهاباد و میاندوآب در وضعیت تنش بوده و مقدار رطوبت در2010 درهمه ایستگاهها منفی بوده و منطقه در معرض خشکسالی شدید قرار داشته است.

کلیدواژه‌ها


Ashraf,C.M. and Abu-sharks.)1987(.Wheat seed germination under low temperature and moisture stress.Agronomy Jornal.Vol:70-135-139.
Bannayan M., Sanjani S., Alizadeh A., Sadeghi Lotfabadi S., and Mohamadian A. 2010. Association between climate indices, aridity index, and rainfed crop yield in northeast of Iran. Field Crops Research, 118: 105–114.
Champagne, C., White, J., Berg, A., Belair, S., & Carrera, M. (2019). Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions. Remote Sensing, 11(4), 372.
Ebrahimzadeh, Sajjad, Bazrfshan, Javad, Gharbani, Khalil (2013). Assessment of vegetation changes based on land and satellite indicators of drought (Kermanshah), Journal of Agricultural Meteorology, Vol. 1, No. 1, pp. 48-37.
French, A.N., Schmugge, T. J. and Kustas, W. P., )2009(. Discrimination of senescent vegetation using thermal emissivity contrast. Remote Sensing of Environment, 74(2): 249-254
Gillies, R.R., and Carlson, T. N., 1995. Thermal remote sensing of surface soil water content with partial vegetation cover for incorporating into climate models. Journal of Applied Meteorology, 34: 745-756.84
HejaziZadeh Z., JaviZadeh S., and Musavi M. 2010. Survey of climatic drought and its effects on wheat production in the province.Geography.Spring. 8(24), p. 27-45.
Jackson, R.D., Reginato, R. J. and Idso, S. B., (1997). Wheat canopy temperature: a practical tool for evaluating water requirements. Water Resources Research, 13: 651–656.
Jayanthi H., Gregory J., Husak Funk C., Magadzire T., Chavula, A., and Verdin J.P. 2013. Modelin g rain-fed maize vulnerability to droughts using the standardized precipitation index from satellite estimated rainfallSouthern Malawi case study. International Journal of Disaster Risk Reduction, 4: 71–81.
Khalili N., davari K., Ansari H., and Alizadeh, A. 2000. The Management of Supplementary Irrigation for Rain-fedWheat during the Drought Periods Using Crop Moisture Index (The Case Study: Bojnurd). Journal of Water and Soil.ol. 24, No. 6, Jan-Feb 2011, p. 1254-1264.
Khalili, Najmeh Dari, Kamran Ansari, Hossein Alizadeh, Amin (2010). Irrigation management of wheat during the recovery period using a product moisture index (CMI) (Bojnourd), Vol. 24, No. 6
Meyer S.J., Hubbard K.G., and Wilhite D.A. 1990. The development of a crop-specific drought index for corn.High Plains Climate Center Report, 90-1.University of Nebraska-Lincoln.
Meyer S.J., Hubbard K.G., and Wilhite D.A. 1991. The relationship of climatic indices and variables to corn (maize) yields: a principal components analysis. Agriculture and Forest Meteorology, 55: 59–84.
Mohammadi Moghaddam S., Mosaedi A., Jankju M., and Mesdaghi M. 2013.Modeling plants yield based on climatic factors and drought indices in selected sites of the provinces of Central and Qom in Iran. Journal water & soil, 27(6): 1190 –1206. (in Persian with English abstract).
NoghanKar H., Bazrafshan J., and Hejabi S. 2012. Risk analysis of agricultural drought characteristics undercurrent climate and changing climate conditions in various climates of Iran Iranian Water Research Journal, 2013(Issue 11). No: 11, p. 175.
Parida,R.B,(2006) Analysing the effect of severity and duration of Agricultural drought on crop performance using Terra/MODIS Satellite data and Meteorological data
Rajaram. S. and Van Ginkle, M. 2001. Mexico, 50 years of international wheat breeding. In: Bonjean, A.P., Angus, W.J. (Eds.) the World Wheat Book: A History of Wheat breeding. Lavoisier pub., Paris, France, pp: 579-604.
RamezaniEtedali H., liaghat A., ParsiNejad M., and RamezaniEtedali M .2012. Assessment of agricultural drought based on soil moisture in Qazvin station. Journal of Water Research in Agriculture. No:1, p. 83-93.
Sabziparvar A.A., Torkaman M., and Maryanaji Z. 2012. Investigating the Effect of Agroclimatic Indices and Variables on Optimum Wheat Performance (Case study: Hamedan Province). Journal of Water and Soil, 26(6): 1554–1567.
Shafiei M., Ghahreman B., Ansari H., and Sharifi M.B. 2011. Stochastic simulation of Drought Severity Based on the Palmer Index.Journal of Water and Irrigation Management. No: 1, p. 1-13.
Sharma, A (2006). Spatial data mining for drought monitoring: An approach using temporal NDVI and relationship, Thesis Geo-Information Science and Earth Observation,India
Shokoohi A.R. 2012. RDI and SPI indices Comparison for drought analysis in station scale with an emphasis on agricultural drought (Case Study: Qazvin and Takestan). Journal of Irrigation & Water Engineering, No:3, p. 111-122.
Small, AS And Alizade, Amin. (1986) principles of agriculture in arid regions. (Translation). Astan Quds Razavi Publishing House.
ZandiLak H., Fooladvand H.R., and Boostani F. 2014. Evaluate of the return period of agricultural drought for in Fars province using RDI index. Quarterly of Water Resources Engineering. No:22, p.1-10.