A source location algorithm of lightning detection networks in China
Item
Title (Dublin Core)
A source location algorithm of lightning detection networks in China
Description (Dublin Core)
Fast and accurate retrieval of lightning sources is crucial to the early
warning and quick repairs of lightning disaster. An algorithm for computing
the location and onset time of cloud-to-ground lightning using the
time-of-arrival (TOA) and azimuth-of-arrival (AOA) data is introduced in
this paper. The algorithm can iteratively calculate the least-squares
solution of a lightning source on an oblate spheroidal Earth. It contains a
set of unique formulas to compute the geodesic distance and azimuth and an
explicit method to compute the initial position using TOA data of only three
sensors. Since the method accounts for the effects of the oblateness of the
Earth, it would provide a more accurate solution than algorithms based on
planar or spherical surface models. Numerical simulations are presented to
test this algorithm and evaluate the performance of a lightning detection
network in the Hubei province of China. Since 1990s, the proposed algorithm has
been used in many regional lightning detection networks installed by
the electric power system in China. It is expected that the proposed algorithm
be used in more lightning detection networks and other location systems.
warning and quick repairs of lightning disaster. An algorithm for computing
the location and onset time of cloud-to-ground lightning using the
time-of-arrival (TOA) and azimuth-of-arrival (AOA) data is introduced in
this paper. The algorithm can iteratively calculate the least-squares
solution of a lightning source on an oblate spheroidal Earth. It contains a
set of unique formulas to compute the geodesic distance and azimuth and an
explicit method to compute the initial position using TOA data of only three
sensors. Since the method accounts for the effects of the oblateness of the
Earth, it would provide a more accurate solution than algorithms based on
planar or spherical surface models. Numerical simulations are presented to
test this algorithm and evaluate the performance of a lightning detection
network in the Hubei province of China. Since 1990s, the proposed algorithm has
been used in many regional lightning detection networks installed by
the electric power system in China. It is expected that the proposed algorithm
be used in more lightning detection networks and other location systems.
Creator (Dublin Core)
Z. X. Hu
W. G. Zhao
H. P. Zhu
Subject (Dublin Core)
Science
Q
Physics
QC1-999
Geophysics. Cosmic physics
QC801-809
Publisher (Dublin Core)
Copernicus Publications
Date (Dublin Core)
2010-10-01T00:00:00Z
Type (Dublin Core)
article
Identifier (Dublin Core)
10.5194/angeo-28-1981-2010
0992-7689
1432-0576
https://doaj.org/article/43bf2ee2a19d473a84bd9cce5394802e
Source (Dublin Core)
Annales Geophysicae, Vol 28, Pp 1981-1991 (2010)
Language (Dublin Core)
EN
Relation (Dublin Core)
https://www.ann-geophys.net/28/1981/2010/angeo-28-1981-2010.pdf
https://doaj.org/toc/0992-7689
https://doaj.org/toc/1432-0576
Provenance (Dublin Core)
Journal Licence: CC BY