Design of Weather Modification Assessment System for Evaluating Artificial Test Effect

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This paper presents an assessment system for evaluating artificial test effectiveness on weather modification. Algorithms that we used in the system depend on statistical test and regression analysis theory. Due to functional requirements, the system is mainly divided into two subsystems which are meteorological storage system and statistical evaluation system respectively. We implement it for handling and uploading meteorological data in special database service and making multi-index comprehensive assessment on artificial test effectiveness by rainfall and temperature materials. From the result of system test, the assessment system works efficiently and performances satisfactory fault tolerance.

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1152-1155

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yuan Wenlian, Fan Yanping, Zhang Qinghai. The Problem of Weather Modification and Recommendations. Modern Agricultural Sciences and Technology 2011, (9).

Google Scholar

[2] Fang Bin, Wang Jinhong, Yang Wenxia. Research Advance on Artificial Precipitation Enhancement Effect Evaluation [J]. Journal of AnHui Agriculture Sciences, 2010, 38(13).

Google Scholar

[3] Huang Jiayou. Some Problem on Using Statistical Test in Meteorology [J]. Meteorological Monthly, 2005, 31(7): 3-5.

Google Scholar

[4] Ye Jiadong, Fan Peifeng. Mathematical Methods of Artificial Weather Statistics [M]. Beijing, Science Press, 1982: 197-245.

Google Scholar

[5] Shi Neng, Zhang Aiguo, Yu Jinhua. Some Important Problems of The Statistics Test in Meteorology [J]. Scientia Meteorologica, 2009, 29(5): 670-673.

Google Scholar

[6] Jia Ling, Guo Qiang, Li Yan. Study of Statistical Verification of Aircraft Precipitation Enhancement Effect in Shanxi Province [J]. Scientia Meteorologica, 2010, 30(3): 378-381.

Google Scholar

[7] Josepb Albabari, Ben Albabari. C# 4. 0 in a Nutshell the Definitive Reference [M]. Sebastopol: O'Reilly Media Inc, 2010: 873-878.

Google Scholar

[8] Zhu Changsheng, Shen Yunfu. Study on Self-adaptive Database Connection Pool [J]. Computer Engineering and Applications, 2003, 39(36): 187-189, 209.

Google Scholar

[9] Bo Chunfeng. The Practical Application of C# Background Processing and Muti-threading Technology [J]. Journal of Kunming University, 2010, 32(3): 82-85.

Google Scholar