Natural Science

Volume 5, Issue 9 (September 2013)

ISSN Print: 2150-4091   ISSN Online: 2150-4105

Google-based Impact Factor: 0.74  Citations  h5-index & Ranking

Evaluation of cloud seeding project in Yazd Province of Iran using historical regression method (case study: Yazd 1 cloud seeding project, 1999)

HTML  Download Download as PDF (Size: 446KB)  PP. 1006-1011  
DOI: 10.4236/ns.2013.59124    4,000 Downloads   5,687 Views  Citations

ABSTRACT

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.

Share and Cite:

Zoljoodi, M. and Didevarasl, A. (2013) Evaluation of cloud seeding project in Yazd Province of Iran using historical regression method (case study: Yazd 1 cloud seeding project, 1999). Natural Science, 5, 1006-1011. doi: 10.4236/ns.2013.59124.

Cited by

[1] Unconventional water resources: Global opportunities and challenges
Science of the Total …, 2022
[2] Assessment of Royal Rainmaking Performance with Ground-based Rainfall in Phetchaburi River Basin
Engineering Access, 2022
[3] Optimisation of Cloud Seeding Criteria Using a Suite of Ground-Based Instruments
2021
[4] Contemporary Water Resource Management and Its Role in Tackling Land Degradation and Desertification in Iran
2020
[5] Numerical experiments on glaciogenic artificial cloud seeding conducted in a stable cloud
2017
[6] Multi-wavelength dual polarisation lidar for monitoring precipitation process in the cloud seeding technique
2016
[7] An example of canal formation in a thick cloud induced by massive seeding using liquid carbon dioxide
Journal of Meteorological Research, 2015

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.