播云试验增雨总量的估算——以森林防火、抗旱、防尘为例

IF 2.1 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Advances in Meteorology Pub Date : 2023-07-14 DOI:10.1155/2023/5478666

Yonghun Ro, Ki-Ho Chang, Sanghee Chae, Y. Lim, J. Ku, Woonseon Jung

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引用次数: 1

摘要

本文提出了一种验证人工和自然雨带混合情况下播云效果的方法，并对该方法在每个实验情况下的适用性进行了评价。在2020年的森林防火、减灾和降尘实验中，还量化了通过人工降雨可以获得的水资源。应用了数值模拟、雷达导出的降雨量、雨量计导出的降雨量和天气条件的数据。根据数值模拟结果和风系统对有播区和无播区进行分类，通过对比两区降雨变化确定增强型降雨。通过考虑播种面积和降雨密度来确定水资源量。结果，森林防火试验增加了1.74毫米(475万吨)，抗旱试验增加了0.84毫米(130万吨)，降尘试验增加了2.78毫米(2444万吨)。因此，通过实验可以实现平均降雨量为1.0 mm。这些结果有助于验证纯播种效果，达到实验目的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimation of the Total Amount of Enhanced Rainfall for a Cloud Seeding Experiment: Case Studies of Preventing Forest Fire, Drought, and Dust

In this study, a method for verifying the effect of cloud seeding in the case of a mixture of natural and artificial rainfall bands was proposed, and its applicability to each experimental case was evaluated. Water resources that could be secured through cloud seeding were also quantified for the experiments on forest fire prevention, drought mitigation, and dust reduction in 2020. Data on numerical simulations, radar-derived rainfall, rain gauge-derived rainfall, and weather conditions were applied. Areas with seeding and nonseeding effects were classified according to the numerical simulation results and wind system, and enhanced rainfall was determined by comparing the changes in rainfall between the two areas. The amount of water resources was determined by considering the area of the seeding effect and rainfall density. As a result, 1.74 mm (4.75 million tons) of rainfall increased from the experiment on forest fire prevention, 0.84 mm (1.30 million tons) on drought mitigation, and 2.78 mm (24.44 million tons) on dust reduction. Thus, an average rainfall of 1.0 mm could be achieved through the experiment. These results helped verify the pure seeding effect and achieve the experimental purpose.

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来源期刊

Advances in Meteorology 地学天文-气象与大气科学

CiteScore

5.30

自引率

3.40%

发文量

审稿时长

>12 weeks

期刊介绍： Advances in Meteorology is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of meteorology and climatology. Topics covered include, but are not limited to, forecasting techniques and applications, meteorological modeling, data analysis, atmospheric chemistry and physics, climate change, satellite meteorology, marine meteorology, and forest meteorology.