Evaluation Of Urbanization Effects On Climate Change Over The North-east Of I.R. Of Iran

1. Evaluation Of Urbanization Effects On Climate Change Over The North-east Of I.R. Of Iran Alireza Shahabfar , Azadeh Ramesh Climatological Research Institute , I.R. of Iran Meteorological Organization

2. Several climatological studies shown that human activities such as urbanization, industrial developments have a great impact on changing of climatic parameters around the world, for example, exist of heat island over the large cities, increasing of global mean temperature, increasing of mean sea surface height… Based on the latest scientific assessment of the earth’s climate system, Poland et al. (2001) have revealed that average global surface temperature has increased by about 0.60.2C since the late 19th century. The Northern hemisphere experienced cooling during the period from 1946 to 1975, while the Southern hemisphere showed warming. 1-Introduction

3. This study based on an updated temperature data set consisting of monthly averages of the daily mean, daily maximum (day-time) and daily minimum (night-time) temperatures. Temperature data have been observed and recorded by the I. R. of Iran Meteorological Organization (IRIMO) since late 1950, We found some errors in the monthly minimum temperature series at the very beginning of the study. These errors were identified directly by checking the daily temperature records in the original climatological registers of the IRIMO archive. The errors arose from the fact that negative signs of some daily minimum temperature values, in the months mostly from December to March, were omitted by mistake during the process of inputting daily records into the IRIMO database, therefore this were corrected by using the daily records in the original climatological registers. 2-Data and Assessment of Homogeneity

4. The non-parametric M-K rank correlation test was to detect any possible trend in temperature series, and to test whether or not such trends are statistically signification. A detailed assessment for testing of climatic data unevenly distributed in time and a comparison of methods for estimating the significance level of a trend can be found in a recent study performed by Huth (1999). The M-K test statistic u (t) is a value that indicates directions (or sign) and statistical magnitude of the trend in a series. 3-Methodology

5. 4- Results of Analyses

6. Spatial distribution patterns of annual mean (a), maximum (b) and minimum (c) temperature trends in the Khorasan Province from the M-K test statistics u (t).

7. Spatial distribution patterns of Spring mean (a), maximum (b) and minimum (c) temperature trends in the Khorasan Province from the M-K test statistics u (t).

8. Spatial distribution patterns of Summer mean (a), maximum (b) and minimum (c) temperature trends in the Khorasan Province from the M-K test statistics u (t).

9. Spatial distribution patterns of Autumn mean (a), maximum (b) and minimum (c) temperature trends in the Khorasan Province from the M-K test statistics u (t).

10. Spatial distribution patterns of Winter mean (a), maximum (b) and minimum (c) temperature trends in the Khorasan Province from the M-K test statistics u (t).

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