نتایج جستجو برای: taklamakan

تعداد نتایج: 52  

Journal: :Remote Sensing 2021

A satellite-based algorithm is developed and used to determine the presence of dust aerosols on a global scale. The uses as input aerosol optical properties from MOderate Resolution Imaging Spectroradiometer (MODIS)-Aqua Collection 6.1 Ozone Monitoring Instrument (OMI)-Aura version v003 (OMAER-UV) datasets identifies existence in atmosphere by applying specific thresholds, which ensure coarse s...

Journal: :Atmosphere 2022

Water scarcity is an important factor limiting agricultural development in arid areas. Clarifying and evaluating the current situation of water resources regions helpful for decision-makers rational use resources. This study takes a typical region located at edge Taklamakan Desert-Hotan as area. The footprint (WF) Hotan was calculated based on 20 years data information from 2000–2019. An evalua...

Journal: :Remote Sensing 2022

The Taklamakan Desert and the Gobi in East Asia constitute second-largest sources of dust world. In particular, originating from is more susceptible to long-range transport, with consequent impacts downwind Asian countries Northwest Pacific region. Two intensive events (the 3·15 event 3·28 event) were experienced North China March 2021. process was rated as most past 10 years. this study, by us...

Journal: :Atmospheric Environment 2021

Changes in atmospheric particulate matter content directly affect the Earth-atmosphere system balance and climate change indirectly environment ecology. Therefore, this is receiving increasing attention. A typical arid area with a fragile ecological frequent dust activities, Xinjiang, China, was investigated using Moderate Resolution Imaging Spectroradiometer (MODIS) daily aerosol optical thick...

Journal: :Geoscience frontiers 2022

Rapid industrialization and urbanization along with a growing population are contributing significantly to air pollution in China. Evaluation of long-term aerosol optical depth (AOD) data from models reanalysis, can greatly promote understanding spatiotemporal variations To do this, AOD (550 nm) values 2000 2014 were obtained the Coupled Model Inter-comparison Project (CIMP6), second version Mo...

Journal: :Atmospheric Chemistry and Physics 2021

Abstract. During a solar eclipse the irradiance reaching top of atmosphere (TOA) is reduced in Moon shadow. The commonly measured by Earth observation satellites before start and not corrected for this reduction, which results decrease computed TOA reflectances. Consequently, air quality products that are derived from reflectance spectra, such as ultraviolet (UV) absorbing aerosol index (AAI), ...

Journal: :Materials research express 2023

Abstract The Taklamakan Desert in China's Xinjiang region faces severe heat conditions that cause rutting asphalt pavements. In order to combat this issue, local construction management has been advo-cating for the utilization of low-grade with penetration levels between 20 and 50, en-hance pavement's resistance rutting. However, there is limited research on durability under intense UV irradiat...

2017
Pengfei Tian

The seasonal and spatial variations of vertical distribution and optical properties of aerosols over China are studied using long-term satellite observations from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) and ground-based lidar observations and Aerosol Robotic Network (AERONET) data. The CALIOP products are validated using the ground-based lidar measurements at the Semi-Arid...

2017
Tong Wu Meng Fan Jinhua Tao Lin Su Ping Wang Dong Liu Mingyang Li Xiao Han Liangfu Chen

The horizontal and vertical distributions of aerosol optical properties over China in 2013–2015 were investigated using RAMS (Regional Atmospheric Modeling System)-CMAQ (Models-3 Community Multiscale Air Quality) simulations and CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) observations. To better understand the performance of the RAMS-CMAQ model over China, comparisons with the gro...

Journal: :Atmospheric Chemistry and Physics 2022

Abstract. Quantifying the dust optical depth (DOD) and its uncertainty across spatiotemporal scales is key to understanding constraining cycle interactions with Earth System. This study quantifies DOD along monthly year-to-year variability between 2003 2017 at global regional levels based on MIDAS (ModIs Dust AeroSol) dataset, which combines Moderate Resolution Imaging Spectroradiometer (MODIS)...

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