Investigation of atmospheric particles in Urmia Lake region using a hand-held sun-photometer

\nUrmia Lake is a hypersaline lake in Northwest Iran. Regions inside its water catchment area experience frequent dust events. We are reporting the results of a two-year measurement campaign using a Calitoo sunphotometer, alongside synoptic measurements, satellite data, and atmospheric models. The monthly mean aerosol optical thickness (AOT) demonstrates a seasonal pattern, with fine particles prevailing in the winter and coarse particles being dominant during the summer months. Approximately 69% and 10% of the measurements indicate urban-industrial pollution and dust as the primary atmospheric particle types in the region, respectively. On the remaining days, a combination of the aforementioned aerosol types prevails as the dominant atmospheric particle composition. An in-depth analysis of a specific dust event unveiled a 24-hour delay between the peak AOT and the subsequent increase in particulate matter. Furthermore, the HYSPLIT model’s backward trajectory analysis depicted the transport of a dust plume from Mesopotamia to Urmia Lake, inducing alterations in AOT, mass concentrations, and visibility.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-11
DOI
https://doi.org/10.1051/e3sconf/202457501011/pdf
Primary Topic
Educational Robotics and Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of atmospheric particles in Urmia Lake region using a hand-held sun-photometer

Springer Link (Chiba Institute of Technology)
Educational Robotics and Engineering
article

Investigation of atmospheric particles in Urmia Lake region using a hand-held sun-photometer

article en

Abstract

\nUrmia Lake is a hypersaline lake in Northwest Iran. Regions inside its water catchment area experience frequent dust events. We are reporting the results of a two-year measurement campaign using a Calitoo sunphotometer, alongside synoptic measurements, satellite data, and atmospheric models. The monthly mean aerosol optical thickness (AOT) demonstrates a seasonal pattern, with fine particles prevailing in the winter and coarse particles being dominant during the summer months. Approximately 69% and 10% of the measurements indicate urban-industrial pollution and dust as the primary atmospheric particle types in the region, respectively. On the remaining days, a combination of the aforementioned aerosol types prevails as the dominant atmospheric particle composition. An in-depth analysis of a specific dust event unveiled a 24-hour delay between the peak AOT and the subsequent increase in particulate matter. Furthermore, the HYSPLIT model’s backward trajectory analysis depicted the transport of a dust plume from Mesopotamia to Urmia Lake, inducing alterations in AOT, mass concentrations, and visibility.\n

Springer Link (Chiba Institute of Technology)
Sustainable cities and communities
Openalex Percentile: Top 64%
Educational Robotics and Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.