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南亚地区气溶胶光学深度的长期时空变化趋势及其与增强植被指数和气象参数的关系。

Long-term spatiotemporal trends in aerosol optical depth and its relationship with enhanced vegetation index and meteorological parameters over South Asia.

机构信息

Department of Space Science, University of the Punjab, Lahore, Pakistan.

Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistan.

出版信息

Environ Sci Pollut Res Int. 2022 Apr;29(20):30638-30655. doi: 10.1007/s11356-021-17887-4. Epub 2022 Jan 7.

Abstract

Satellite-based aerosol optical depth (AOD) is columnar light extinction by aerosol absorption and scattering and has become the most important variable for the assessment of the spatiotemporal distribution of aerosols at a regional and global level. In this paper, we have used AOD observations of multiangle imaging spectroradiometer (MISR) from September 2002 to May 2017, moderate resolution imaging spectroradiometer (MODIS) from September 2002 to December 2020, and sea-viewing wide field-of-view sensor (SeaWiFS) from September 2002 to December 2010 over South Asia. We have observed the association of AOD with enhanced vegetation index (EVI) and meteorological variables (temperature (TEMP), wind speed (WS), and relative humidity (RH)) acquired from Giovanni during the period September 2002-December 2020. The satellite observations of Terra-, MISR-, and SeaWiFS-AOD were also compared with Aqua-AOD. The findings show that AOD in eastern Pakistan is higher than in the western Pakistan due to increase in population density and biomass burning. Mean annual peak AOD (˃ 0.7) has been observed over the IGB region because of the significant increase in economical, industrial, and agricultural activities while AOD of ˃ 0.6 is observed over Bangladesh. The lowest mean annual AOD of ˂ 0.3 is observed over northeastern Afghanistan, western Nepal, and Bhutan whereas the AOD of 0.3 is seen over Sri Lanka. The highest seasonal mean AOD of 0.8 has been seen over Bihar, India, and AOD of ~ 0.7 is observed over Bangladesh while the lowest AOD is observed over Afghanistan, Sri Lanka, Nepal, and Bhutan during the winter season. However, the mean AOD over eastern Pakistan is maximum in both monsoon and post-monsoon season but relatively low in pre-monsoon and winter. The highest positive seasonal AOD anomalies were observed over South Asia in winter season followed by post-monsoon, pre-monsoon, and least being monsoon. The higher mean AOD anomaly value is found to be 0.2 over eastern Pakistan and western India. In northeastern Pakistan and central India, AOD and RH are positively correlated (r ˃ 0.54) while negatively correlated over Afghanistan, southwestern region of Pakistan, eastern India, Nepal, Bhutan, and Bangladesh. AOD is negatively correlated (r =  ~  - 0.3) with EVI over eastern Pakistan and western India. The highest correlation coefficient (r) obtained among Terra and Aqua is 0.97, MISR and Aqua is 0.93, and SeaWiFS and Aqua is 0.58 over South Asia.

摘要

基于卫星的气溶胶光学厚度(AOD)是气溶胶吸收和散射造成的柱状光消光,已成为评估区域和全球气溶胶时空分布的最重要变量。本文使用多视角成像光谱仪(MISR)、中等分辨率成像光谱仪(MODIS)和海色宽视场传感器(SeaWiFS)于 2002 年 9 月至 2017 年 5 月、2002 年 9 月至 2020 年 12 月和 2002 年 9 月至 2010 年 12 月在南亚获取的 AOD 观测资料,以及 Giovanni 上同期获取的增强植被指数(EVI)和气象变量(温度(TEMP)、风速(WS)和相对湿度(RH))。还将 Terra、MISR 和 SeaWiFS-AOD 的卫星观测结果与 Aqua-AOD 进行了比较。研究结果表明,由于人口密度和生物质燃烧的增加,巴基斯坦东部的 AOD 高于西部。由于经济、工业和农业活动显著增加,IGB 地区观测到的年平均最高峰值 AOD(>0.7),而孟加拉国观测到的 AOD 为>0.6。阿富汗东北部、尼泊尔西部和不丹观测到的年平均 AOD 最低,约为<0.3,斯里兰卡观测到的 AOD 为 0.3。印度比哈尔邦和孟加拉国观测到的最高季节性平均 AOD 为 0.8,阿富汗、斯里兰卡、尼泊尔和不丹观测到的 AOD 最低,冬季观测到的 AOD 最低。然而,巴基斯坦东部的 AOD 在季风和后季风季节最高,但在季风前和冬季相对较低。南亚冬季观测到的 AOD 季节性正异常最高,其次是后季风、季风前和季风。在巴基斯坦东部和印度西部发现的平均 AOD 异常值最高为 0.2。在巴基斯坦东北部和印度中部,AOD 和 RH 呈正相关(r>0.54),而在阿富汗、巴基斯坦西南部、印度东部、尼泊尔、不丹和孟加拉国呈负相关。在巴基斯坦东部和印度西部,AOD 与 EVI 呈负相关(r≈-0.3)。Terra 和 Aqua 之间获得的最高相关系数(r)为 0.97,MISR 和 Aqua 为 0.93,SeaWiFS 和 Aqua 为 0.58。

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