Spatial Distributions and Temporal Trends in Sediment Contamination in Lake St. Clair

Abstract. Satellite-derived aerosol products provide long-term and large-scale observations for analysing aerosol distributions and variations, climate-scale aerosol simulations, and aerosol–climate interactions. Therefore, a better understanding of the consistencies and differences among multiple aerosol products is important. The objective of this study is to compare 11 global monthly aerosol optical depth (AOD) products, which are the European Space Agency Climate Change Initiative (ESA-CCI) Advanced Along-Track Scanning Radiometer (AATSR), Advanced Very High Resolution Radiometer (AVHRR), Multi-angle Imaging SpectroRadiometer (MISR), Moderate Resolution Imaging Spectroradiometer (MODIS), Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Visible Infrared Imaging Radiometer (VIIRS), and POLarization and Directionality of the Earth's Reflectance (POLDER) products. AErosol RObotic NEtwork (AERONET) Version 3 Level 2.0 monthly measurements at 308 sites around the world are selected for comparison. Our results illustrate that the spatial distributions and temporal variations of most aerosol products are highly consistent globally but exhibit certain differences on regional and site scales. In general, the AATSR Dual View (ADV) and SeaWiFS products show the lowest spatial coverage with numerous missing values, while the MODIS products can cover most areas (average of 87 %) of the world. The best performance is observed in September–October–November (SON) and the worst is in June–July–August (JJA). All the products perform unsatisfactorily over northern Africa and Middle East, southern and eastern Asia, and their coastal areas due to the influence from surface brightness and human activities. In general, the MODIS products show the best agreement with the AERONET-based AOD values on different spatial scales among all the products. Furthermore, all aerosol products can capture the correct aerosol trends at most cases, especially in areas where aerosols change significantly. The MODIS products perform best in capturing the global temporal variations in aerosols. These results provide a reference for users to select appropriate aerosol products for their particular studies.

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Polycyclic aromatic hydrocarbons in bivalves from the San Francisco estuary: Spatial distributions, temporal trends, and sources (1993–2001)

Marine Environmental Research ◽

10.1016/j.marenvres.2005.02.001 ◽

2005 ◽

Vol 60 (4) ◽

pp. 466-488 ◽

Cited By ~ 61

Author(s):

Daniel R. Oros ◽

John R.M. Ross

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

San Francisco ◽

Aromatic Hydrocarbons ◽

Temporal Trends ◽

San Francisco Estuary ◽

Spatial Distributions ◽

Polycyclic Aromatic

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Concentration profile, spatial distributions and temporal trends of polybrominated diphenyl ethers in sediments across China: Implications for risk assessment

Ecotoxicology and Environmental Safety ◽

10.1016/j.ecoenv.2020.111205 ◽

2020 ◽

Vol 206 ◽

pp. 111205 ◽

Cited By ~ 1

Author(s):

Hongmin Yin ◽

Zhenwu Tang ◽

Tong Meng ◽

Minna Zhang

Keyword(s):

Risk Assessment ◽

Concentration Profile ◽

Polybrominated Diphenyl Ethers ◽

Temporal Trends ◽

Spatial Distributions ◽

Diphenyl Ethers

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Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17217833 ◽

2020 ◽

Vol 17 (21) ◽

pp. 7833

Author(s):

Decun Wu ◽

Jinping Liu

Keyword(s):

Spatial Data ◽

Ecological Footprint ◽

Temporal Trends ◽

Spatial Association ◽

Jiangsu Province ◽

Control Measures ◽

Spatial Data Analysis ◽

Spatial Distributions ◽

County Level ◽

Over Time

Due to the high ecological pressure that exists in the process of rapid economic development in Jiangsu Province, it is necessary to evaluate its ecological footprint intensity (EFI). This article focuses on ecological footprint intensity analysis at the county scale. We used county-level data to evaluate the spatial distributions and temporal trends of the ecological footprint intensity in Jiangsu’s counties from 1995 to 2015. The temporal trends of counties are divided into five types: linear declining type, N-shape type, inverted-N type, U-shape type and inverted-U shape type. It was discovered that the proportions of the carbon footprint intensity were maintained or increased in most counties. Exploratory spatial data analysis shows that there was a certain regularity of the EFI spatial distributions, i.e., a gradient decrease from north to south, and there was a decline in the spatial heterogeneity of EFI in Jiangsu’s counties over time. The global Moran’s index (Moran’s I) and local spatial association index (LISA) are used to analyze both the global and local spatial correlation of EFIs among counties of Jiangsu Province. The high-high and low-low agglomeration effects were the most common, and there were assimilation impacts of counties with strong agglomeration on adjacent units over time. The results implied the utility of differentiated EFI reduction control measures and promotion of low-low agglomeration and suppression of high-high agglomeration in EFI-related ecology policy.

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Spatial and temporal trends in surface water and sediment contamination in the Laurentian Great Lakes

Environmental Pollution ◽

10.1016/j.envpol.2003.09.029 ◽

2004 ◽

Vol 129 (1) ◽

pp. 131-144 ◽

Cited By ~ 59

Author(s):

Chris Marvin ◽

Scott Painter ◽

Donald Williams ◽

Violeta Richardson ◽

Ronald Rossmann ◽

...

Keyword(s):

Surface Water ◽

Great Lakes ◽

Temporal Trends ◽

Sediment Contamination ◽

Laurentian Great Lakes ◽

Water And Sediment ◽

Spatial And Temporal Trends

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Spatial Distribution and Temporal Trend of Tropospheric NO2 over the Wanjiang City Belt of China

Advances in Meteorology ◽

10.1155/2018/6597186 ◽

2018 ◽

Vol 2018 ◽

pp. 1-13 ◽

Cited By ~ 2

Author(s):

Yu Xie ◽

Wei Wang ◽

Qinglong Wang

Keyword(s):

Temporal Trends ◽

Temporal Variations ◽

Spatial Distributions ◽

Ozone Monitoring Instrument ◽

Hysplit Model ◽

Transport Pathways ◽

Transfer Policy ◽

Industrial Transfer ◽

Air Masses ◽

Comparison Results

We utilize the tropospheric NO2 columns derived from the observations of Ozone Monitoring Instrument (OMI) onboard AURA to analyze the spatial distributions and temporal trends of NO2 in Wanjiang City Belt (WCB) of China from 2005 to 2016. The aim of this study is to assess the effect of industrial transfer policy on the air quality in WCB. Firstly, we used the surface in situ NO2 concentrations to compare with the OMI-retrieved tropospheric NO2 columns in order to verify the accuracy of the satellite data over the WCB area. Although it is difficult to compare the two datasets directly, the comparison results prove the accuracy of the OMI-retrieved tropospheric NO2 columns in cities of WCB. Then, the spatial distributions of the annual averaged tropospheric NO2 total columns over Anhui Province show that NO2 columns were considerably higher in WCB than those in other areas of Anhui. Also, we compared the spatial distributions of the total NO2 columns in 2005 through 2010 and in 2011 through 2016 and found that the total NO2 columns in WCB increased by 19.9%, while the corresponding value increased only 13.9% in other Anhui areas except the WCB area. Furthermore, the temporal variations of NO2 columns show that although the NO2 columns over WCB and Anhui increased significantly from 2005 to 2011, they decreased sharply from 2011 to 2016 due to the strict emission reduction measures in China. Finally, the HYSPLIT model was used to analyze the origins of NO2 and transport pathways of air masses in a typical city, Ma’anshan city.

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Trends in Dryness Index Based on Potential Evapotranspiration and Precipitation over 1961–2099 in Xinjiang, China

Advances in Meteorology ◽

10.1155/2014/548230 ◽

2014 ◽

Vol 2014 ◽

pp. 1-15 ◽

Cited By ~ 8

Author(s):

Yi Li ◽

Mudan Zhou

Keyword(s):

Potential Evapotranspiration ◽

Regional Climate ◽

Temporal Trends ◽

Deep Understanding ◽

Trend Test ◽

Climatic Data ◽

Spatial Distributions ◽

Statistical Downscaling Model ◽

The Past ◽

Dryness Index

Under the background of global warming, deep understanding for drought-related index is important. The spatial distributions and trends in annual mean (AM) climatic data, includingPAM,ETo,AM, andDIAMin Xinjiang, China, were analyzed. Statistical downscaling model (SDSM) was applied. FuturePAM,ETo,AM, andDIAMseries were generated and used to analyze their temporal trends, along with the historical climatic data. The results showed that (1) over 1960–2010,DIAMvaried greatly and ranged from 1.5 to 479.6. Trends inDIAMdecreased significantly. The regional climate turned to be from arid to humid in the past; (2) over 2015–2099,DIAMranged between 1.9 and 198.5 under A2 scenario and 1.6 and 130.4 under B2 scenario. Trends inDIWRdecreased insignificantly under A2 scenario and significantly under B2 scenario, indicating a weak drought stress from the future climate; (3) the modified Mann-Kendal (MKK) test generally decreased the significance of the trends because it considered the limitation of serial autocorrelation. Robust trend test of MMK method was recommended considering its rigor property. In conclusion, the drought in Xinjiang tends to be relieved over 2015–2099 compared to 1960–2010.

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