Study on the ground fraction of air tankers

Author:

Gu YinORCID,Zhou RuiORCID,Xie Hui,Shi Lei

Abstract

Background The ground fraction refers to the ratio of the liquid collected on the ground to the dropped liquid, which is the key index used to assess the drop ground pattern of air tankers when combating wildfires. However, there is no quantitative mechanism model to estimate ground fraction. Aims and methods The current work aims to create a simple model of the ground fraction by directly using full-scale drop test data with different firefighting agents for fitting. Key results and conclusions The result shows that the ground fraction can be estimated by simple quantitative relationships despite significant differences between the conditions of the drop tests. These relationships include factors that can be manipulated during aircraft and release system design as well as during aerial firefighting operations. Implications Based on the presented model, an equation for the maximum coverage level of the mean liquid distribution is solved, and the induced effects of drop velocity, drop height, liquid viscosity and other factors on the ground pattern are revealed, which can provide direct predictions of ground drop distributions.

Publisher

CSIRO Publishing

Subject

Ecology,Forestry

Reference41 articles.

1. Amorim JH (2008) Numerical modelling of the aerial drop of products for forest firefighting. PhD thesis, University of Aveiro, Portugal.

2. Numerical modelling of the aerial drop of firefighting agents by fixed-wing aircraft. Part II: model validation.;International Journal of Wildland Fire,2011

3. Andersen WH, Wong JY (1978) Dynamic interaction of fire retardant droplets with fuel, and correlation with the rheological properties of the retardant. Final Report 7660–02. (USDA Forest Service, Northern Forest Fire Laboratory: Ogden, UT)

4. Andersen WH, Brown RE, Kato KG, Louie NA (1974) Investigation of rheological properties of aerial-delivered fire retardant. Final report 8990–05. (USDA Forest Service, Northern Forest Fire Laboratory: Ogden, UT)

5. A global wildfire dataset for the analysis of fire regimes and fire behaviour.;Scientific Data,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3