Abstract
AbstractPrecipitation and temperature are the most important climate parameters, which vary both spatially and temporally. In the present study, rainfall data of 11 synoptic stations and 40 rain gauge stations and mean air temperature data of 11 synoptic stations of Ardabil province for the period 2009–2019 collected from the Meteorological Organization of Ardabil province, were considered for investigation. The descriptive statistics of rainfall and temperature such as mean, median, coefficient of variation, skewness and kurtosis were analyzed for monthly scale data. A higher coefficient of variation signified a greater degree of variation in precipitation and temperature data across different months. To evaluate the temporal stability over several months, Pearson linear correlation analysis at a significance level of 5% was performed for each variable. Kriging geostatistical estimator and GIS interface (ArcMap 10.4.1) were used for spatial interpolation with the aid of root mean square and SRMS standards. The results revealed that the spatial variation of temperature was greater than that of precipitation.
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering
Reference33 articles.
1. Alavinia F, Ghorbani A, Mohammadi Moghadam S, Sobhani B (2015) Precipitation and temperature zoning using spatial statistics methods in the north of Ardabil province. In: Third International Congress of earth, space & clean energy
2. Ali A, Lebel T, Amani A (2003) Invariance in the Spatial Structure of Sahelian Rain Fields at Climatological Scales. Hydrometeorol J 4(6): 996–1011. https://doi.org/10.1175/1525-7541(2003)004%3C0996:IITSSO%3E2.0.CO;2
3. Alizadeh A (2010) Principles of Applied hydrology. 5th ed. Imam Reza (AS) University, Mashhad
4. Almeida A, Souza R, Loureiro D, Pereira D, Cruz M, Vieira J (2017) Modelling the spatial dependence of the rainfall erosivity index in the Brazilian semiarid region. Pesq agropec bras 52(6):371–379. https://doi.org/10.1590/s0100-204x2017000600001
5. Arnon I (1992) Climatic Factors and their effect on Crop Production. In: Agriculture in Dry Lands, pp 39–83. https://doi.org/10.1016/B978-0-444-88912-6.50006-2
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献