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The paper is withdrawn from \"Open Journal of Marine Science\" due to personal reasons
from the corresponding author of this paper.
This article has been retracted to
straighten the academic record. In making this decision the Editorial Board
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In this research, the result of the cloud seeding over Yazd province during three months of February, March and April in 1999 has been evaluated using the historical regression method. Hereupon, the rain-gages in Yazd province as the target stations and the rain-gages of the neighboring provinces as the control stations have been selected. The rainfall averages for the three aforementioned months through 25 years (1973-1997) in all control and target stations have been calculated. In the next step, the correlations between the rainfalls of control and target stations have been estimated about 75%, which indicates a good consistency in order to use the historical regression. Then, through the obtained liner correlation equation between the control and target stations the precipitation amount for February, March and April in 1999, over the target region (Yazd province) was estimated about 27.57 mm, whiles the observed amount was 34.23 mm. In fact the precipitation increasing around 19.5% over Yazd province confirmed the success of this cloud seeding project.
Intensity and variability of droughts are considered inIranduring the period 1951 to 2005. Four variables are considered:
the Palmer Drought Severity Index (PDSI), the soil moisture, the temperature
and the precipitation (products used for the analysis are downloaded from the
NCAR website). Link with the climatic indexLa Ninais also considered (NOAA downloadable
products is used). The analysis is based on basic statistical approaches
(correlation, linear regressions and Principal Component Analysis).
The analysis shows that PDSI is highly correlated to the soil moisture and
poorly correlated to the other variables—although the temperature in the warm
season shows high correlation to the PDSI and that a severe drought was
experienced during 1999-2002 inthe country.
Urmia Lake in
northwest of Iran, through the recent years has been extremely faced with the
water crisis. Climate variations and anthropogenic impacts could be two main
affiliated factors in this regard. We considered the long term data series of
precipitation, temperature and evaporation in monthly and yearly scales in
order to compare to water-level values of Urmia Lake. The statistics approaches
such as: standard deviation, trend analysis, T test, Pearson and Spearman
correlations, liner regression are used to analyze all variables. The results
released that the water-level of Urmia Lake along with the precipitation and temperature
of the lake’s basin have experienced the periodic changes through 1961 to 2010,
as there are some gradual dryness trends on the study area according to
precipitation and temperature variations. Urmia Lake periodic water-level
fluctuations show more significant correlation to temperature than the
precipitation. Whiles, the water-level’s decreasing behavior especially through
1998 to 2010 is more harsh and different than the rate that is considered for
precipitation’s decrease and temperature’s increase. Thus, there could be some
anthropogenic factors in the basin which produced some supplementary causes to
shrink Urmia Lake. Extracting the double precipitation over the basin through
introducing and categorizing of atmospheric synoptic systems in order to cloud
seeding operation could be one of urgent and innovative solutions to mitigate
water crisis in the basin.