Investigation of Suitable Regions Determination for Drought Monitoring Using TRMM Satellite Data (Case Study: Khorasan Razavi Province)

Document Type : Research Article

Authors

• H. Ghafourian
• Seied Hosein Sanaei-Nejad
• K. Davary

Ferdowsi University of Mashhad

10.22067/jsw.v0i0.27974

Abstract

Most of drought evaluation systems are based on precipitation data. However short period of measured data and inappropriate distribution of weather stations and undesirable quality of precipitation measurement networks reduce ability of showing the spatial pattern of drought. Therefore, it is necessary to recognize others reliable climatic data resources. Then to overpass the difficulty, after verification, the data is used to complete or substitute the existing data. Accordingly, in this research to monitor drought in Khorasan Razavi province using data from 10 synoptic stations and 107 rain gauges around the province, the monthly data of TRMM satellite was validated. To do this, standardized precipitation index (SPI) of 1, 3, 6 and 12 months are calculated for a 13 years period (1998-2010) and compared with those of satellite for the same period. The evaluation was measured using CSI (%) (Critical Success Index) and R2 (Coefficient of Determination). The results showed that there was a very good consistency between earth borne and satellite borne SPIs for all time scales except for 1 month time scale. Consistency value for all time scales over most regions of the province is more than 50%. Based on the results, for achieving the accuracy more than 60%, time scales of 1, 3, 6 and 12 months should be used as below: 1 month only for the northern regions, 3 month for all regions except the eastern part, 6 month for all regions except the northern part and 12 month for all regions except the northern region and central part of the province.

Keywords

• drought monitoring
• TRMM satellite
• SPI
• Khorasan Razavi province
• CSI

20.1001.1.20084757.1393.28.3.19.9

---

References

بارانیزاده ا.، بهیار م.ب. و عابدینی ی.1390. ارزیابی برآوردهای بارندگی ماهواره TRMM-3B43 با استفاده از مقایسه با دادههای زمینی مشاهداتی شبکهای بارش قدرت تفکیک بالا (APHRODITE) در ایران. دومین کنفرانس ملی پژوهشهای کاربردی منابع آب ایران. اردیبهشت. زنجان.

2- جباری نوقابی م. 1390. دادههای پرت، مفهوم و کاربرد آن. نشریه ندا، دوره 9. شماره 1. صص 1-16.

3- حجازیزاده ز. و جوی زاده س. 1389. مقدمهای بر خشکسالی و شاخصهای آن. انتشارات سمت، چاپ اول، 358ص.

4- رضایی پژند ح. 1380. کاربرد آمار و احتمال در منابع آب. چاپ اول. انتشارات سخن گستر. 468ص.

5- رضیئی ط.، شکوهی ع.، ثقفیان ب .و دانش کارآسته پ. ١٣٨٢ . پایش پدیده خشکسالی در ایران مرکزی با استفاده از شاخص SPI. سومین کنفرانس منطقهای و اولین کنفرانس ملی تغییر اقلیم اصفهان، صص ٢٠٦ - ٢١٦.

6- مرکز آمار ایران. 1392. درگاه ملی آمار، صفحه اصلی اطلاعات استانی، استان خراسان رضوی. قابل دسترس در: http://www.amar.org.ir/Default.aspx?tabid=115، تاریخ بازدید: 10/6/1392.

7- علیزاده ا. 1386. اصول هیدرولوژی کاربردی. انتشارات دانشگاه امام رضا (ع). چاپ 23. 808ص.

8- غفوریان ه.، ثنائی نژاد س.ح. و داوری ک. 1392. بررسی پایش خشکسالی با استفاده از دادههای ماهواره TRMM در استان خراسان رضوی. پایان نامه کارشناسی ارشد هواشناسی کشاورزی، دانشگاه فردوسی مشهد. 104ص.

9- میان آبادی آ. 1387. شناسایی مناطق پر مخاطره استان خراسان رضوی از لحاظ اقلیمی-کشاورزی. پایان نامه کارشناسی ارشد هواشناسی کشاورزی، دانشگاه فردوسی مشهد. 168ص.

10- Chenari M. 2005. Investigation on Variation of some Drought Indices Using Markov Chain in South Alborz Climate’s Samples. Tehran Univ. M.Sc. Thesis, 159p. (In Persian).

11- Galvao Jr. and Antonio F. 2010. Unit roots quintile auto regression testing using covariates, Journal of Econometrics. PP 24-36.

12- Li J.G., Ruan H.X., Li J.R. and Huang S.F. 2010. Application of TRMM precipitation data in meteorological drought monitoring. Journal of China Hydrology, 30: PP 43–46. (in Chinese).

13- McKee T.B., Doesken N.Y. and Kleist J.Y. 1993. The relationship of drought frequency and duration to time scales. Eighth Conference on Applied Climatology, American Meteorological Society: Anaheim, CA, PP 174–184.

14- McKee T.B., Doesken N.J., and Kleist J.Y. 1995. Drought monitoring with multiple time scales. Ninth Conference on Applied Climatology, American Meteorological Society: Dallas, TX, PP 233–236.

15- Morid S., Moghaddam M., Paymozd Sh. and Ghaemi H. 2005. Design of Tehran Province Drought Monitoring System. Final Report, Water Resources Management Co. (WRMC-Iran), 196p. (In Persian).

16- National Aeronautics and Space Administration (NASA), Homepage of Rainfall Archives, TRMM Online Visualization and Analysis System (TOVAS) , http://disc2.nascom. nasa.gov/Giovanni/ tovas/. Visited: 2012/12/15.

17- National Aeronautics and Space Administration (NASA). 2001. TRMM Data Users Handbook , February. 226p.

18- Rhee J.G. and Carbone J. 2011. Estimating Drought Conditions for Regions with Limited Precipitation Data. Journal of Applied Meteorology and Climatology. PP 548-560.

19- Sharma S. 2003. Study of precipitation systems by Doppler weather RADAR and tropical rainfall measuring mission precipitation RADAR. Department of Physics, Kohima Science College, Jotsoma, Kohima, Nagaland, India. PP 797-802.

20- Sorooshian S., Gao X., Hsu K., Maddox R.A., Hong Y., Gupta H.V. and Imam B. 2002: Diurnal Variability of Tropical Rainfall Retrieved from Combined GOES and TRMM Satellite Information. J. Climate, 15, 983–1001.

21- Willmott C.J., Robeson S.M. and Janis M.J. 1996. Comparison of approaches for estimating time-averaged precipitation using data from the USA. Int. Journal of Climatology., 16, PP 1103–1115.

22- Zang W.B., Ruan B.Q., Li J.G. and Huang S.F. 2011. Analysis of extraordinary meteorological drought in Southwest China by using TRMM precipitation data. Journal of China Institute of Water Resources and Hydropower Research, 8: PP 97–106. (in Chinese).

23- Zeng H., Lijuan L. and Li J. 2012. The evaluation of TRMM multisatellite precipitation pnalysis (TMPA) in drought monitoring in the Lancang River Basin. Journal of Geographical Sciences. 22(2): 273-282.