Agnew, C.T. (2000). Using the SPI to Identify Drought, Drought Network News, Vol. 12, No. 1, winter 1999-Spring 2000.
Alizadeh, A. (2014). Applied Hydrology, Imam Reza University Press, thirty- eighth edition, 941 pages. Bonaccorso, B., Bordi, I., Cancelliere, A., Rossi, G., & Sutera, A. (2003). Spatial variability of drought: an analysis of the SPI in Sicily. Water resources management, 17(4), 273-296.
Bahreini , F., Panahi, F., Jafari, M., Malekian, A. (2018). Identification of drought vulnerable vegetation areas using remote sensing, a case study of Bushehr province Natural Resources of Iran, Volume 71, No, 2, pp. 241-354 (In Persian).
Barouti , H., Yousef Gomrakchi, A., Fazal Oli, R. (2008). Analysis and Monitoring of Drought in Qazvin Plain Using Standardized Precipitation Index Third water Resources Management Conference 10-11 October (In Persian).
c78ddd24a33bb281b2c9ba3a1504e6d6.pdf
Chen, Z., Grasby, S.E., & Osadetz, K.G. (2004). Relation between climate variability and groundwater levels in the upper carbonate aquifer, southern Manitoba, Canada, Journal of Hydrology, No. 290: 43–62.
Dabanli, I. (2018). Drought Risk Assessment by Using Drought Hazard and Vulnerability Indexes. Natural Hazards and Earth System Sciences Discussions. 1–15.
Ensafi M., T., Rafiei Imam, A. (2009). Zoning of climatic drought using the inverse distance interpolation (IDW) method, a case study of the Salt Lake basin, Iranian Rangeland and Desert Research, Volume 16, Number 2, pp. 274- 292 (In Persian).
Fiorillo, F., Esposito, L., & Guadagno, FM. (2010). Karst spring discharges analysis in relation to drought periods, Using the SPI. Water Resources Manage, 24: 1867-1884.
Fleig, A.K., Tallaksen, L.M., & Hisdal, H. (2006). Drought Indices Suitable to Study the Linkages to Large-Scale Climate Drivers in Regions with Seasonal Frost Influence. IAHS PUBLICATION, 308, 169.
Ghafourian, H., Sanainejad, S,. Davari, K. (2014). Study on determining suitable for drought monitoring TRMM satellite data case study of Khorasan Razavi province, Soil and Agricultural Sciences and Industries (2), 639-648 (In Persian).
Hamzeh, S., Farahani, Z., Mahdavi, Sh., Chenar Abgun, O., Gholamnia, M. (2017). Temporal and spatial monitoring of agricultural drought using measurement data from the study period of Markazi Province, Iran, Journal of Spatial Analysis of Environmental Hazards, year 4, Issue 3, pp. 53-70 (In Persian).
Haro, D., Abel, S., Javier, P., & Joaquín, A. (2014). Methodology for drought risk assessment in within- year regulated reservoir systems: Application to the Orbigo, River System (Spain). Water Resources Management, 28 (11), 3801-3814.
Heydari Alamdarloo, E., Nasabpour, S., Keshtkar, H. (2017). Data mining of drought probability in Iran Journal of Desert Management 5(9) 1-14 (In Persian).
Heydarizadi, R., Majid Komki, O., Choni, B. (2023). Drought Damage Assessment Using Satellite Indicators and Vulnerability Factors Case Study of Geographic Information (Sepehr), Volume 28, Issue 109, pp. 138-146 (In Persian).
Hou, W., Yan, P., Feng, G., & Zuo, D. (2021). A 3D Copula Method for the Impact and Risk Assessment of Drought Disaster and an Example Application. Frontiers in Physics, 9, 156.
Jiang, S., Yang, R., Cui, N., & Zhao, L. (2018). Analysis of drought vulnerability characteristics and risk assessment based on information distribution and diffusion in Southwest China. Atmosphere, 9 (7), 2-39.
Khademipour, G., Saberi Anari, S.M., Nekoyi Moghadam, M., Masoudi, A., & Jafari Baghini, R. (2018). Comprehensive Assessment and Zonation of Drought Risk and Vulnerability in Kerman Province. Health in Emergencies and Disasters Quarterly (HDQ). 3: 2. 113-120.
Khalili Joybari, R,. Redaei, M,. Baghban Jelodar, A,. Bahramnejad, F. (2018). Mazandaran Province Planning Plan, National Planning and Budget Organization, Mazandaran Province Management and Planning Organization (In Persian).
Khoshakhlagh, F., Hejazi Zadeh, Z., Mohammadi, H., & Roshan, G.H. (2006). TOPSIS Approach in Determining and Ranking of Drought (Case Study: Drought Distribution in Several Stations in Khuzestan Province). 5(6):105-127.
Kogan, F.N. (1993). United States droughts of late 1980's as seen by NOAA polar orbiting satellites. International Geoscience and Remote Sensing Symposium, 1:197-199.
Kogan, F.N. (1997). Global drought watch from space. Bulletin of the American Meteorological Society, vol. 78, n°4, p.621-636.
Kogan, F.N. (2001). Operational space technology for global vegetation assessment. Bulletin of American Meteorological Society, 82(9): 1949–1964.
Lorenzo,
M.N., Alvarez,
Ines., Taboada,
J.J. (2022). Drought evolution in the NM lberian Paninsula overa 60 year period. Journal of Hydrology,
Maccioni, P., Kossida, M., Brocca, L., & Moramarco, T. (2014). Assessment of the Drought Hazard in the Tiber River Basin in Central Italy and a Comparison of New and Commonly Used Meteorological Indicators, ASCE, 05014029-
McKee., T.B., Doesken, N.J., & Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales, Eighth Conference on Applied Climatology, 17-22 January, Anaheim, California.
Nosrati, J. (2014). Evaluation of the Standardized Evapotranspiration Precipitation Index (SPEID) for Identifying drought in climates various Iranian Quarterly Journal of Environmental Sciences, Volume 12, Issue 4, Winter 2014, 62-74 (In Persian).
Park, S., Im, J., Jang, E., & Rhee, J. (2016). Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions. Agricultural and forest meteorology, 216: 157-169. Doi:https://doi.org/10.1016/j.agrformet.2015.10.011.
Pourhashm Majumardi, S., Fathzadeh, A., Hayatzadeh, M., Fazel Pour, M., Fotohi, F. (2021). Study of drought vulnerability using multi – criteria systems case study of Ardakan County, Iran Watershed Management Scientific Association, pp. 78-87 (In Persian).
Shahid, S., & Behrawan, H. (2008). Drought risk assessment in the western part of Bangladesh. Natural. Hazards 46: 391-413 (In Persian with English summary).
Soltani, M., Soltani, A., Kalehoi, M., Solemani, K. (2019). Regional Drought Monitoring Using Landsat Images Study Area: Kermanshah County, Quarterly Journal of Information, Volume 28, Issue 109, pp. 138-146 (In Persian).
Svoboda, M. (2000). An introduction to the drought monitor. Drought Network News. 80: 1994-2001.
Thenkabail, P.S., & Gamage, M.S.D.N. (2004). The use of remote sensing data for drought assessment and monitoring in Southwest Asia, Vol 85, Iwmi.
Tingsanchali, T., & Piriyawong, T. (2018). Drought Risk Assessment of Irrigation Project Areas in a River Basin. Engineering Journal, 22 (1), 280-286.
Tsakiris, G., & Vangelis, H. (2004). Towards a drought watch system based on spatial SPI. Water resources management, 18(1), 1-12.
Tucker, C.J. (1979). Red and Photographic Infrared Linear Combinations for Monitoring Vegetation, Remote Sensing of Environment 8: 127–150.
Wilhelmi, O.V. & Wilhite, D.A. (2002). Assessing vulnerability to agricultural drought: A Nebraska Case Study. Natural Hazards, 25: 37–58.
Wilhite, D.A, & Vanyarkho, O. (2000). Drought: Pervasive Impacts of a Creeping Phenomenon (Chapter 18), In: D.A. Wilhite (ed.), Drought: A Global Assessment, Natural Hazards and Disasters Series, Routledge Publishers, UK.
Wilhite, D.A., & Vanyarkho, O.V. (2000). Chapter 18 Drought: Pervasive Impacts of a Creeping Phenomenon. Drought Mitigation Center Faculty Publications. I: 71: 245-255.
Wu, C., Yeh, P.J.F., Chen, Y.Y., Lv, W., Hu, B.X., & Huang, G. (2021). Copula-based risk evaluation of global meteorological drought in the 21st century based on CMIP5 multimodel ensemble projections
. Journal of Hydrology,
598, 126265.
https://doi.org/10.1016/j.jhydrol.2021.126265
Wu, H., Hayes, M.J., Weiss, A., & Hu, Q. (2001). An evaluation of the Standardized Precipitation Index, the China‐Z Index and the statistical Z‐Score, International journal of climatology, Vol. 21, No. 6, pp. 745-758.
Yaghmaei, L., Soltani, S., Jafari, R., Bashari, H., & Jahanbazi, H. (2017). An investigation on impact of drought on rangeland and forest vegetation changes in Chaharmahal & Bakhtiari province using MODIS satellite dat, Iranian Journal of Forest and Range Protection Research, 15 (1): 91-108.
Zahiri, A., Sharifan, H., Abarashi, F., Rahimian, M. (2014). Evaluation of Wetness and Drought Phenomena in the Province Khorasan using NITZCHE SPI (PNPI) index Irrigation and Drainage of Iran 4:845-865 (In Persian).
Zare khormizie, H., Hosseini, S., Mokhtari, M., & Ghafarian Malamiri, H. (2017). Analysis of relationship between drought and NDVI variations in different vegetation types (Case study: Southern rangelands of Yazd Province). Journal of Arid Biome, 7(2): 85-101.
Zarei Mahmoudabadi, R., Khami, Meybodi, H. (2023). Drought Monitoring Using the SIAP Index (Case Study of Bod Province) Third International Conference on Civil Architecture Urbanism Environment and Horizons of Islamic Art in the Second Step Statement Al Qalab May 106.
Zhao, P., Lü, H., Fu, G., Zhu, Y., Su, J., & Wang, J. (2017). Uncertainty of hydrological drought characteristics with copula functions and probability distributions: a case study of Weihe River, China. Water, 9 (5), 334.