USING A GEOGRAPHICAL INFORMATION-SYSTEM FOR MONITORING SPACE-SHUTTLE LAUNCHES - DETERMINING CUMULATIVE DISTRIBUTION OF DEPOSITION AND AN EMPIRICAL-TEST OF A SPATIAL MODEL

被引:3
|
作者
DUNCAN, BW [1 ]
SCHMALZER, PA [1 ]
机构
[1] BIONET CORP,NASA BIOMED OPERAT & RES OFF,MAIL CODE BIO-2,KENNEDY SPACE CTR,FL 32899
关键词
SPACE SHUTTLE LAUNCH; ACID DEPOSITION; GIS; ENVIRONMENTAL MONITORING;
D O I
10.1007/BF02393874
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Space shuttle launches produce localized hydrochloric acid deposition. The interaction of solid rocket motor exhaust and deluge water released on the pad at the time of launch results in the formation of an exhaust cloud. The spatial pattern and extent of deposition from the launch cloud are predicted by the rocket exhaust effluent diffusion (REED) model. The actual pattern of deposition has been mapped by field surveys for each shuttle launch since 1981. In this paper we use a geographical information system (GIS) to compare model predictions with ground patterns for 49 shuttle launches. We also compile cumulative maps of deposition patterns needed to consider long-term impacts. The direction of launch cloud movement did not differ significantly from model predictions. The REED model overpredicted both the area that received deposition and the maximum distance from the launch pad that deposition occurred. Severe vegetation damage was restricted to near-field deposition areas within 1980 m north of each launch pad. Total area impacted from launches has been 87.0 ha around pad 39A and 52.9 ha around pad 39B. Far-field deposition has caused leaf spotting from acid droplets or aluminum oxide over a wider and more variable area than near-field. A total of 19,397 ha has received deposition, but 63.6% of this area has received deposition only one time and 92.2% not more than three times. GIS techniques provide means to test spatial models and compile information useful for assessing cumulative impacts.
引用
收藏
页码:465 / 474
页数:10
相关论文
共 4 条
  • [1] USER INVOLVEMENT IN INFORMATION-SYSTEM DEVELOPMENT - A CONFLICT MODEL AND EMPIRICAL-TEST
    ROBEY, D
    FARROW, D
    [J]. MANAGEMENT SCIENCE, 1982, 28 (01) : 73 - 85
  • [2] Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex
    Priscila Pinho da Silva
    Fabiola A. da Silva
    Caio Augusto Santos Rodrigues
    Leonardo Passos Souza
    Elisangela Martins de Lima
    Maria Helena B. Pereira
    Claudio Neder Candella
    Marcio Zenaide de Oliveira Alves
    Newton D. Lourenço
    Wagner S. Tassinari
    Christovam Barcellos
    Marisa Zenaide Ribeiro Gomes
    [J]. Antimicrobial Resistance & Infection Control, 10
  • [3] Geographical information system and spatial-temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex
    da Silva, Priscila Pinho
    da Silva, Fabiola A.
    Rodrigues, Caio Augusto Santos
    Souza, Leonardo Passos
    de Lima, Elisangela Martins
    Pereira, Maria Helena B.
    Candella, Claudio Neder
    de Oliveira Alves, Marcio Zenaide
    Lourenco, Newton D.
    Tassinari, Wagner S.
    Barcellos, Christovam
    Gomes, Marisa Zenaide Ribeiro
    [J]. ANTIMICROBIAL RESISTANCE AND INFECTION CONTROL, 2021, 10 (01)
  • [4] An Automated Geographical Information System-Based Spatial Machine Learning Method for Leak Detection in Water Distribution Networks (WDNs) Using Monitoring Sensors
    Elshazly, Doha
    Gawai, Rahul
    Ali, Tarig
    Mortula, Md Maruf
    Atabay, Serter
    Khalil, Lujain
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (13):