Assessment of environmental quality of Bucharest urban area by multisensor satellite data

Abstract. Figuring out the regional ecological environment quality and ecological change is critical for ecological environment monitoring and management and urban construction planning. Based on the remote sensing ecological index (RESI), we evaluate the ecological quality and ecological change from 1999 to 2019 of Anqing city. Multi-temporal Landsat images are used to extract the four indicators of humidity, vegetation, heat and dryness, respectively. Then the RSEI is calculated by principal component analysis. The results show that the ecological quality of Anqing city declined from 1999 to 2019 and then grew slowly from 2009 to 2019. The eco-environmental quality of Anqing city dropped slightly from 1999 to 2019, and the regions with worse quality grades exceeded those becoming better. Particularly, we find that from 1999 to 2009, the area where the ecological quality became better made up 18.31% of the urban area, while the worse ecological area accounted for 29.68% of the urban area; from 2009 to 2019, the area of improved ecological environment reached 24.35%, while the area of degraded quality constituted 41.36%. Land-use changes dominated eco-environmental quality. The areas of poor eco-environmental quality expanded in residential regions and eco-environmental quality of mountainous area improved since returning cultivated land in steep hills into forest. The RSEI results are expected to provide a quantitative foundation for planning sustainable development and the rational use of resources in Anqing city.

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Spatial-temporal analysis of urban eco-environmental quality of an urban area using geo-spatial techniques: The case of Dhaka megacity, Bangladesh

10.31428/10317/10499 ◽

2022 ◽

Author(s):

Mainuddin Patwary Muhammad ◽

Rahman Mijanur ◽

H. E. M. Browning Matthew

Keyword(s):

Urban Area ◽

Environmental Quality ◽

Temporal Analysis ◽

Spatial Temporal Analysis

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Macrozoobenthos as an Indicator in Monitoring of the Environmental Quality of the Black Sea

Hydrobiological Journal ◽

10.1615/hydrobj.v39.i1.20 ◽

2003 ◽

Vol 39 (1) ◽

pp. 15-27

Author(s):

G. V. Losovskaya

Keyword(s):

Black Sea ◽

Environmental Quality ◽

The Black Sea

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Advances in Environmental Hydraulics

Water ◽

10.3390/w13091192 ◽

2021 ◽

Vol 13 (9) ◽

pp. 1192

Author(s):

Carlo Gualtieri ◽

Dongdong Shao ◽

Athanasios Angeloudis

Keyword(s):

Environmental Quality ◽

Natural Water ◽

Environmental Water ◽

Water Systems ◽

Scientific Study ◽

Environmental Hydraulics ◽

Transport And Transformation ◽

Water Flows ◽

Transformation Processes

Environmental Hydraulics (EH) is the scientific study of environmental water flows and their related transport and transformation processes affecting the environmental quality of natural water systems, such as rivers, lakes, and aquifers, on our planet Earth [...]

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Investigation of Coverage and Signal Quality of LoRaWAN Network in Urban Area

2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) ◽

10.1109/cenim51130.2020.9297982 ◽

2020 ◽

Author(s):

Roni Apriantoro ◽

Amin Suharjono ◽

Kurnianingsih Kurnianingsih ◽

I Ketut Agung Enriko

Keyword(s):

Urban Area ◽

Signal Quality

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Evaluation of Total Ozone Column from Multiple Satellite Measurements in the Antarctic Using the Brewer Spectrophotometer

Remote Sensing ◽

10.3390/rs13081594 ◽

2021 ◽

Vol 13 (8) ◽

pp. 1594

Author(s):

Songkang Kim ◽

Sang-Jong Park ◽

Hana Lee ◽

Dha Hyun Ahn ◽

Yeonjin Jung ◽

...

Keyword(s):

Satellite Data ◽

Total Ozone ◽

Spatiotemporal Pattern ◽

Satellite Measurements ◽

Austral Spring ◽

Total Ozone Column ◽

Brewer Spectrophotometer ◽

The Antarctic ◽

Ozone Column

The ground-based ozone observation instrument, Brewer spectrophotometer (Brewer), was used to evaluate the quality of the total ozone column (TOC) produced by multiple polar-orbit satellite measurements at three stations in Antarctica (King Sejong, Jang Bogo, and Zhongshan stations). While all satellite TOCs showed high correlations with Brewer TOCs (R = ~0.8 to 0.9), there are some TOC differences among satellite data in austral spring, which is mainly attributed to the bias of Atmospheric Infrared Sounder (AIRS) TOC. The quality of satellite TOCs is consistent between Level 2 and 3 data, implying that “which satellite TOC is used” can induce larger uncertainty than “which spatial resolution is used” for the investigation of the Antarctic TOC pattern. Additionally, the quality of satellite TOC is regionally different (e.g., OMI TOC is a little higher at the King Sejong station, but lower at the Zhongshan station than the Brewer TOC). Thus, it seems necessary to consider the difference of multiple satellite data for better assessing the spatiotemporal pattern of Antarctic TOC.

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