Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets

Mui, Luong Viet; Hung, Tran Ngoc; Shinohara, Keito; Yamanoi, Kohei; Shimizu, Toshihiko; Sarukura, Nobuhiko; Shimadera, Hikari; Kondo, Akira; Sumimura, Yoshinori; Hai, Bui Van; Nguyen, Diep Van; Minh, Pham Hong; Trung, Dinh Van; Cadatal-Raduban, Marilou

doi:https://doi.org/10.3390/app13010172

Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets

Mui, Luong Viet; Hung, Tran Ngoc; Shinohara, Keito et al.

Applied Sciences (Switzerland), 2022, 13(1), 172

Number of Access:1,951（2025-10-09 21:37 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/92536

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Title	Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets
Creator	CreatorName Mui, Luong Viet
	CreatorName Hung, Tran Ngoc
	CreatorName Shinohara, Keito
	NRID 1000030722813 1000030722813 ORCID 0000-0003-4492-4099 0000-0003-4492-4099 researchmap permalink yamanoi-k yamanoi-k Scopus Author ID 35243839300 35243839300 CreatorName Yamanoi, Kohei
	NRID 1000080415182 1000080415182 researchmap permalink shimizu-tshk shimizu-tshk Scopus Author ID 35446354400 35446354400 CreatorName Shimizu, Toshihiko
	NRID 1000040260202 1000040260202 researchmap permalink read0051054 read0051054 Scopus Author ID 56251140500 56251140500 CreatorName Sarukura, Nobuhiko
	NRID 1000020647367 1000020647367 ORCID 0000-0002-2233-8446 0000-0002-2233-8446 researchmap permalink hikari_shimadera hikari_shimadera Scopus Author ID 34168355400 34168355400 CreatorName Shimadera, Hikari
	NRID 1000020215445 1000020215445 ORCID 0000-0001-8621-2378 0000-0001-8621-2378 researchmap permalink read0014121 read0014121 Scopus Author ID 24466540100 24466540100 CreatorName Kondo, Akira
	NRID 1000030332753 1000030332753 researchmap permalink read0078540 read0078540 Scopus Author ID 57191292900 57191292900 CreatorName Sumimura, Yoshinori
	CreatorName Hai, Bui Van
	CreatorName Nguyen, Diep Van
	CreatorName Minh, Pham Hong
	CreatorName Trung, Dinh Van
	NRID 1000040889698 1000040889698 ORCID 0000-0001-9641-132X 0000-0001-9641-132X researchmap permalink marilouraduban marilouraduban CreatorName Cadatal-Raduban, Marilou
Subject	atmospheric monitoring of pollutants
	black carbon
	LIDAR
	MIe scattering
	particulate matter
Description	Mui L.V., Hung T.N., Shinohara K., et al. Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets. Applied Sciences (Switzerland) 13, 172 (2023); https://doi.org/10.3390/app13010172.
Abstract	Numerical simulations are performed to determine the angular dependence of the MIe scattering cross-section intensities of pure water droplets and pollutants such as contaminated water droplets and black carbon as a function of the wavelength of the incident laser light, complex refractive index, and size of the scatterer. Our results show distinct scattering features when varying the various scattering parameters, thereby allowing the identification of the scattering particle with specific application to the identification of atmospheric pollutants including black carbon. Regardless of the type of scatterer, the scattering intensity is nearly uniform with a slight preference for forward scattering when the size of the particle is within 20% of the incident laser’s wavelength. The scattering patterns start to exhibit distinguishable features when the size parameter equals 1.77, corresponding to an incident laser wavelength of 0.355 μm and a particle radius of 0.1 μm. The patterns then become increasingly unique as the size parameter increases. Based on these calculations, we propose a time-gated lidar scheme consisting of multiple detectors that can rotate through a telescopic angle and be placed equidistantly around the scattering particles to collect the backscattered light and a commercially available Q-switched laser system emitting at tunable laser wavelengths. By using a pulsed laser with 10-ns pulse duration, our scheme could distinguish scattering centers that are at least 3 m apart. Our scheme called MIe Scattering Time-gated multi-Static LIDAR (MISTS–LIDAR) would be capable of identifying the type of atmospheric pollutant and mapping its location with a spatial resolution of a few meters.
Publisher	MDPI
Source Title	Applied Sciences (Switzerland)
Volume (Issue)	13(1)
Page	172
Date of Issued	2022-12-23
Language	English
Handle URL	https://hdl.handle.net/11094/92536
eISSN	20763417
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.3390/app13010172
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Applied Sciences (Switzerland). 2022, 13(1), p. 172
DC.title	Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets
DC.creator	Mui, Luong Viet
	Hung, Tran Ngoc
	Shinohara, Keito
	Yamanoi, Kohei
	Shimizu, Toshihiko
	Sarukura, Nobuhiko
	Shimadera, Hikari
	Kondo, Akira
	Sumimura, Yoshinori
	Hai, Bui Van
	Nguyen, Diep Van
	Minh, Pham Hong
	Trung, Dinh Van
	Cadatal-Raduban, Marilou
DC.publisher	MDPI
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2022-12-23
DC.identifier	https://doi.org/10.3390/app13010172
DC.subject	atmospheric monitoring of pollutants
	black carbon
	LIDAR
	MIe scattering
	particulate matter
DC.description	Mui L.V., Hung T.N., Shinohara K., et al. Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets. Applied Sciences (Switzerland) 13, 172 (2023); https://doi.org/10.3390/app13010172.
DCTERMS.abstract	Numerical simulations are performed to determine the angular dependence of the MIe scattering cross-section intensities of pure water droplets and pollutants such as contaminated water droplets and black carbon as a function of the wavelength of the incident laser light, complex refractive index, and size of the scatterer. Our results show distinct scattering features when varying the various scattering parameters, thereby allowing the identification of the scattering particle with specific application to the identification of atmospheric pollutants including black carbon. Regardless of the type of scatterer, the scattering intensity is nearly uniform with a slight preference for forward scattering when the size of the particle is within 20% of the incident laser’s wavelength. The scattering patterns start to exhibit distinguishable features when the size parameter equals 1.77, corresponding to an incident laser wavelength of 0.355 μm and a particle radius of 0.1 μm. The patterns then become increasingly unique as the size parameter increases. Based on these calculations, we propose a time-gated lidar scheme consisting of multiple detectors that can rotate through a telescopic angle and be placed equidistantly around the scattering particles to collect the backscattered light and a commercially available Q-switched laser system emitting at tunable laser wavelengths. By using a pulsed laser with 10-ns pulse duration, our scheme could distinguish scattering centers that are at least 3 m apart. Our scheme called MIe Scattering Time-gated multi-Static LIDAR (MISTS–LIDAR) would be capable of identifying the type of atmospheric pollutant and mapping its location with a spatial resolution of a few meters.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	92536
citation_title	Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets
citation_author	Mui, Luong Viet
	Hung, Tran Ngoc
	Shinohara, Keito
	Yamanoi, Kohei
	Shimizu, Toshihiko
	Sarukura, Nobuhiko
	Shimadera, Hikari
	Kondo, Akira
	Sumimura, Yoshinori
	Hai, Bui Van
	Nguyen, Diep Van
	Minh, Pham Hong
	Trung, Dinh Van
	Cadatal-Raduban, Marilou
citation_publisher	MDPI
citation_language	English
citation_date	2022-12-23
citation_journal_title	Applied Sciences (Switzerland)
citation_volume	13
citation_issue	1
citation_firstpage	172
citation_doi	https://doi.org/10.3390/app13010172
citation_public_url	https://hdl.handle.net/11094/92536

Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets

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