Literature DB >> 33505790

Aerosol optical depth (AOD): spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China.

Jinglong Li1,2, Xiangyu Ge1,3,4, Qing He1,2, Alim Abbas1,2.   

Abstract

Aerosol optical depth (AOD) is a key parameter that reflects aerosol characteristics. However, research on the AOD of dust aerosols and various environmental variables is scarce. Therefore, we conducted in-depth studies on the distributions and variations of AOD in the Taklimakan Desert and its margins, China. We examined the correlation characteristics between AOD and meteorological factors combined with satellite remote sensing detection methods using MCD19A2-MODIS AOD products (from 2000, 2005, 2010, and 2015), MOD13Q1-MODIS normalized difference vegetation index products, and meteorological data. We analyzed the temporal and spatial distributions of AOD, periodic change trends, and important impacts of meteorological factors on AOD in the Taklimakan Desert and its margins. To explore the relationships between desert aerosols and meteorological factors, a random forest model was used along with environmental variables to predict AOD and rank factor contributions. Results indicated that the monthly average AOD exhibited a clear unimodal curve that reached its maximum in April. The AOD values followed the order spring (0.28) > summer (0.27) > autumn (0.18) > winter (0.17). This seasonality is clear and can be related to the frequent sandstorms occurring in spring and early summer. Interannual AOD showed a gradually increasing trend to 2010 then large changes to 2015. AOD tends to increase from south to north. Based on the general trend, the maximum value of AOD is more dispersed and its low-value area is always stable. The climatic index that has the most significant effect on AOD is relative humidity.
© 2021 Li et al.

Entities:  

Keywords:  Aerosol optical depth (AOD); Dust aerosol; Impact factors; Spatiotemporal distribution

Year:  2021        PMID: 33505790      PMCID: PMC7792517          DOI: 10.7717/peerj.10542

Source DB:  PubMed          Journal:  PeerJ        ISSN: 2167-8359            Impact factor:   2.984


  11 in total

1.  Desert dust suppressing precipitation: a possible desertification feedback loop.

Authors:  D Rosenfeld; Y Rudich; R Lahav
Journal:  Proc Natl Acad Sci U S A       Date:  2001-05-15       Impact factor: 11.205

2.  Inverse relations between amounts of air pollution and orographic precipitation.

Authors:  Daniel Rosenfeld; Jin Dai; Xing Yu; Zhanyu Yao; Xiaohong Xu; Xing Yang; Chuanli Du
Journal:  Science       Date:  2007-03-09       Impact factor: 47.728

3.  Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data.

Authors:  Lara Sofía Della Ceca; María Fernanda García Ferreyra; Alexei Lyapustin; Alexandra Chudnovsky; Lidia Otero; Hebe Carreras; Francesca Barnaba
Journal:  ISPRS J Photogramm Remote Sens       Date:  2018-09-26       Impact factor: 8.979

4.  A high-resolution map of soil pH in China made by hybrid modelling of sparse soil data and environmental covariates and its implications for pollution.

Authors:  Songchao Chen; Zongzheng Liang; Richard Webster; Ganlin Zhang; Yin Zhou; Hongfen Teng; Bifeng Hu; Dominique Arrouays; Zhou Shi
Journal:  Sci Total Environ       Date:  2018-11-18       Impact factor: 7.963

5.  Banzhaf random forests: Cooperative game theory based random forests with consistency.

Authors:  Jianyuan Sun; Guoqiang Zhong; Kaizhu Huang; Junyu Dong
Journal:  Neural Netw       Date:  2018-06-28

6.  Spatial patterns and temporal variations of six criteria air pollutants during 2015 to 2017 in the city clusters of Sichuan Basin, China.

Authors:  Suping Zhao; Ye Yu; Daiying Yin; Dahe Qin; Jianjun He; Longxiang Dong
Journal:  Sci Total Environ       Date:  2017-12-19       Impact factor: 7.963

7.  Columnar aerosol properties and radiative effects over Dushanbe, Tajikistan in Central Asia.

Authors:  Dipesh Rupakheti; Maheswar Rupakheti; Sabur F Abdullaev; Xiufeng Yin; Shichang Kang
Journal:  Environ Pollut       Date:  2020-05-25       Impact factor: 8.071

8.  An example of aerosol pattern variability over bright surface using high resolution MODIS MAIAC: The eastern and western areas of the Dead Sea and environs.

Authors:  Sever Lee; Alpert Pinhas; Lyapustin Alexei; Wang Yujie; Chudnovsky A Alexandra
Journal:  Atmos Environ (1994)       Date:  2017-06-29       Impact factor: 4.798

9.  Quantitative estimation of soil salinity by means of different modeling methods and visible-near infrared (VIS-NIR) spectroscopy, Ebinur Lake Wetland, Northwest China.

Authors:  Jingzhe Wang; Jianli Ding; Aerzuna Abulimiti; Lianghong Cai
Journal:  PeerJ       Date:  2018-05-03       Impact factor: 2.984

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.