Assessment of drought condition in Guilan Province using the Keetch–Byram Drought Index (KBDI) in accordance with the Percent of Normal Precipitation Index (PNPI)

Document Type : Research/Original/Regular Article

Authors

1 Associate Professor/ Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran

2 M.Sc. student/ Department of Sciences and Environmental Technologies, Faculty of Science and Technology, Tehran University, Tehran, Iran

3 Former Ph.D. student/ Department of Combat Desertification, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran

Abstract

Introduction
Drought is a natural disaster that occurs over a long period of time, and affects human societies through negative effects on water resources and agriculture, and consequently the economy. Forests are an important part of the ecosystem that covered about a third of the land surface. Occurrence of wild fires has been degraded the quantity and quality of the forest. The phenomenon of fire is one of the drought complications that cause irreparable damage to the ecosystems. The drought duration and its repetition have been reported more than other natural disasters. The definition of drought has continually been a key issuefor drought monitoring and analysis. The drought is a condition of insufficient moisture caused by a deficit in precipitation over some period of time. Difficulties are primarily related to the time period over which deficits accumulate and to the connection of the deficit in precipitation to deficits in usable water resources and the underlying impacts.
Materials and Methods
There are several indicators for drought identification and interpretation. The calculation of Keetch–Byram Drought Index (KBDI) requires a long series of meteorological data. When the data are available its calculation is straightforward. However, it is strictly valid for the location of the meteorological station and its immediate vicinity. The temporal and spatial characteristics of drought were investigated using Percent of Normal Precipitation Index (PNPI) and KBDI, at 4 stations in Rasht, Bandar Anzali, Astara and Manjil in Guilan province during a 30-year time period (1987-2017).
Results and Discussion
According to the results, the drought index KBDI, the monthly time series of the available data were categorized as follows; normal drought class, 96.3%, medium drought, 3.6%, and severe drought, 0.5%. On the other hand, by analyzing the PNPI index, the percentages of normal, moderate, severe and very severe drought classes were 68.9% and 8.1% and 7.5% and 15.4%, respectively, which are almost same as the KBDI results. Taking into account the cumulative percentages of the drought classes of the area, can be deduced from the normal dryness of the area. On the other hand, the most severe dry year, according to the KBDI index was observed in 1988, while 2010 year was the most severe drough year based on the PNPI index. The longest dry period was roughly the same in both indicators, which was determined between 2004 and 2007 years.
Conclusion
The results showed that the probability of severe drought based on the analysis of the past time series is widespread in the months of June and July, which is important in the management of water resources and vegetation. Also, the drought intensity in this province is gradually increasing. Considering the decreasing trend of rainfall in the region, we can expect more droughts in the future. It is recommended that the managers and experts pay special attention to the prevention and management of water resources and vegetation in the two months of July and August during their executive activities.

Keywords

References

Abbasi, N., Soltani, S., & Jafari, R. (2015). Rangeland and forest fire risk mapping using KBDI drought index (Case study: Isfahan Province). Iranian Journal of Applied Ecology, 3(10), 53-62 (in Persian).
Adhami Mojarad, A., Mastoori, M., & Honardoost, F. (2011). Fire hazard zonation and its analysis using the Francis method (Case study: Natural Resources Areas of Golestan Province). 1st International Firefighting Conference on Natural Resources, Gorgan, Iran (in Persian).
Ainuddin, N.A., & Ampun, J. (2008). Temporal analysis of the Keetch-Byram drought index in Malaysia: implications for forest fire management. Journal of Applied Sciences, 8(21), 3991-3994.
Barooty, H., Zolfaghari, M., & Soleymanpur, S.M. (2013). Comparison of PNPI and SPI indices in monitoring and zoning of drought trend in Qazvin Province. Fifth Iranian Water Resources Management Conference, Shahid Beheshti University, Tehran, Iran (in Persian).
Bonsal, B., & Regier, M. (2007). Historical comparison of the 2001/2002 drought in the Canadian Prairies. Climate Research, 33(3), 229-242.
Chu, P.S., Nash, A.J., & Porter, F.Y. (1993). Diagnostic studies of two contrasting rainfall episodes in Hawaii: Dry 1981 and wet 1982. Journal of Climate, 6(7), 1457-1462.
Derakhshan, H., Azimi, F., & Ezatian, V. (2011). Comparison of SIAP, PNPI and RAI indicators in the study of droughts in Fars Province with emphasis on Shiraz, Abadeh and Larestan stations. First National Conference on Meteorology and Agricultural Water Management, Karaj, Iran (in Persian).
Dogan, S., Berktay, A., & Singh, V.P. (2012). Comparison of multi-monthly rainfall-based drought severity indices, with application to semi-arid Konya closed basin, Turkey. Journal of Hydrology, 470, 255-268.
Dolling, K., Chu, P.S., & Fujioka, F. (2005). A climatological study of the Keetch/Byram drought index and fire activity in the Hawaiian Islands. Agricultural and Forest Meteorology, 133(1-4), 17-27.
Dowdy, A.J., Mills, G.A., Finkele, K., & de Groot, W. (2009). Australian fire weather as represented by the McArthur forest fire danger index and the Canadian forest fire weather index. CAWCR Technical Report No. 10, Australian Bureau of Meteorology.
Eivazi, M., & Mosaedi, A. (2011). Monitoring and spatial analysis of meteorological drought in Golestan Province using geostatistical methods. Journal of Range and Watershed Management, 64(1), 65-78.
Ghodrati, A., Khajavi, E., Nezami, M.T., & Amiri, A. (2011). Estimation of drought in gilan province using ERI effective daily precipitation indicators and SPI standardized precipitation index in agriculture. First National Conference on Drought and Climate Change, Karaj, Iran (in Persian).
Heim J.R.R., (2002). A review of twentieth-century drought indices used in the United States. Bulletin of the American Meteorological Society, 83(8), 1149-1166.
Jahangir, M.H., & Saranirad, M. (2019). Evaluation of drought in South Khorasan Province (Iran) using normal precipitation index (PNPI) and standardized method index (Z). Environmental Science and Technology, 21(4), 1-14. (in Persian)
Kendall, M., & Stuart, A. (1977). The advanced theory of statistics. Vol. 1: Distribution theory. Griffin, London, 4th edition, 484 pages.
Keetch, J.J., & Byram, G.M. (1968). A drought index for forest fire control. Res. Pap. SE-38. Asheville, NC: US Department of Agriculture, Forest Service, Southeastern Forest Experiment Station. 35, 38.
Khosravi, M., Movaqari, A., & Mansouri Daneshhvar, M.R. (2013). Evaluating the PNI, RAI, SIP AND SPI indices in mapping drought intensity of Iran: Comparing the interpolation method and digital elevation model (DEM). Geography and Sustainability of Environment, 2(4), 53-70 (in Persian).
Khalighi Sigaroudi, S.H., Sadeghi Sangdehi, A., Awsati, KH., & Ghavidel Rahimi, Y. (2007). The Study of Drought and Wet Year Assessment models for Stations in Mazandaran province. Iranaian Journal of Rangeland and Desert Research, 16(1), 44- 54 (In Persian).
Kchouk, S., Melsen, L.K., Walker, D.W., & Van Oel, P.R. (2021). A review of drought indices: predominance of drivers over impacts and the importance of local context. Natural Hazard and Earth System Sciences, https://doi.org/10.5194/nhess-2021-152
Liu, Y., Stanturf, J., & Goodrick, S. (2010). Trends in global wildfire potential in a changing climate. Forest Ecology and Management, 259(4), 685-697.
Mavedat, E., & Maleki, S. (2014). Classification and spatial measurement of social-physical damages of the cities against earthquakes by using VIKOR technique and GIS, case study: Yazd city. Geography and Territorial Spatial Arrangement, 4(11), 85-103 (in Persian).
Masoudi, M., & Hakimi, S. (2014). A new model for vulnerability assessment of drought in Iran using Percent of Normal Precipitation Index (PNPI). Iranian Journal of Science and Technology (Sciences), 38(4), 435-440.
McKee, T.B., Doesken, N.J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, American Meteorological Society, California, Pp. 179-184.
Melton, M. (1989). The Keetch/Byram Drought Index: a guide to fire conditions and suppression problems. Fire Management Notes, 50(4), 30-34.
Minghua, N.R.Z.P.S. College of Atmospheric Sciences of Lanzhou University, 730000. National Meteorological Center, 2006-12.
Palmer, W.C. (1965). Meteorological drought. Research paper No. 45. US Department of Commerce Weather Bureau, Washington DC.
Taufik, M., Setiawan, B.I., & Van Lanen, H.A. (2015). Modification of a fire drought index for tropical wetland ecosystems by including water table depth. Agricultural and Forest Meteorology, 203, 1-10.
Türkeş, M., Tatl, H., Altan, G., & Öztürk, M.Z. (2011). Analysis of forest fires for the year of 2010 in Çanakkale and Muğla with the Keetch-Byram drought index. In Proceedings of the National Geographical Congress with International Participation, Istanbul, Turkey.
Vafakhah, M., & Rajabi, M. (2005). Efficiency of meteorological drought indices for monitoring and assessment of drought in Bakhtegan, Tashk, and Maharlo Lakes Watershed. Ecopersia, 2 (1), 441-453.
Van Rooy, M.P. (1965). A rainfall anomaly index (RAI) independent of time and space. Notos, 14, 43-48.
Vogt, J.V., Naumann, G., Masante, D., Spinoni, J., Cammalleri, C., Erian, W., Pischke, F., Pulwarty, R., & Barbosa, P. (2018). Drought risk assessment and management. EUR 29464 EN, Publications Office of the European Union, Luxembourg.
Willeke, G., Hosking, J.R.M., Wallis, J.R., & Guttman, N.B. (1994). The national drought atlas. U.S. Army Corps of Engineers, Water Resources Support Center, Institute for water resources, 587 pages.
Wilhelmi, O.V., & Wilhite, D.A. (2002). Assessing vulnerability to agricultural drought: a Nebraska case study. Natural Hazards, 25(1), 37-58.
Wilks, D.S. (2011). Statistical methods in the atmospheric sciences (Vol. 100). Academic press.
Xanthopoulos, G., Maheras, G., Gouma, V., & Gouvas, M. (2006). Is the Keetch-Byram drought index (KBDI) directly related to plant water stress? Forest Ecology and Management, 234(1), S27.
Water and Soil Management and Modelling
Volume 1, Issue 4
December 2021
Pages 57-67

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History

  • Receive Date: 14 August 2021
  • Revise Date: 18 September 2021
  • Accept Date: 19 September 2021

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