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Data · dataset · 2022

data of acp-2022-250

Listed in Teesside University Research Data Repository

This data is from the study which is submitted the Atmospheric Chemistry and Physics.

Description

This data were the VOC concentrations which were collected at three supersites (Jinshan: JS; Pudong: PD; Qingpu: QP) in Shanghai, China from January 1 to March 31 2019. At the JS site, the VOCs was collected and analyzed by an online gas chromatography (GC866, Chromato, France) equipped with flame ionization detector (FID).

In brief, after the removal of water, the samples were separated for low-carbon (C2-C6) and high-carbon (C6-C12) compounds at the temperature of -5℃ and 25℃, respectively. Then the gas was analyzed by FID after high temperature desorption (380℃) and column chromatographic separation. At the PD site, VOCs was measured by gas chromatography (GC580-FID, PE, USA) and TD300.

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The samples were separated at -30℃, after water was removed. Then the gas was determined by FID, after high temperature desorption (325℃) and column chromatographic separation. At the QP site, VOCs were determined by gas chromatography (GC5000 BTX/VOC, AMA, German) and a flame ionization detector (FID).

The samples were condensed low-carbon (C2-C6) compounds and high-carbon (C6-C12) compounds under the temperatures of 15℃ and 30℃, respectively. Then the gas was analyzed by FID after high temperature desorption (230℃) and column chromatographic separation. The R2 of all of the VOCs were ≥ 0.995.

The accuracy of 95 % of compounds was ≤ ± 20 %. The minimum detection limit (MDL) of most VOC components was ≤ 0.15 ppb. This data provide new insights into the accurate air-quality control at a city level in China due to a wide variety of land-use types, and highlight that the simultaneous multiple-site measurements in the megacity or city cluster could be more appropriate to fully understand the VOC characteristics relative to a single-site measurement performed normally.

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Inferred from text
Atmospheric sciences 72%
Provenance · 1 source records, 13 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/mf4gf36r9n.17 d agoJSON v1
FieldAssertionExtractorEvidence
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