Variation of Tropospheric NO2 on the Territories of Saint Petersburg and Leningrad Region According to Remote Sensing Data

2021 ◽  
Vol 57 (6) ◽  
pp. 669-679
Author(s):  
M. Sedeeva ◽  
A. Tronin ◽  
G. Nerobelov ◽  
E. Panidi
Author(s):  
С.В. Тетюхин ◽  
М.А. Шубина ◽  
М.В. Павская

В статье рассмотрены возможности использования различного разновременного электронного картографического материала в научно- производственной деятельности Учебно-опытного лесничества Ленинградской области. Установлено, что благодаря возможности совмещать и единовременно анализировать в многообразном сочетании данные дистанционные зондирования и различные разновременные электронные тематические карты (общегеографические, геологические, почвенные, геоботанические, планы лесонасаждений и др.), можно говорить о новом использовании картографического метода. Приведенные материалы наглядно показывают, что изучение лесных экосистем, построенное на широкомасштабном применении разновременных электронных карт, позволяет намного эффективней, чем обычными методами, решать многие научно-производственные задачи. The article discusses the possibility of using different multi-temporal e- cartographic material in scientific and industrial activities of Educational-experimental forestry of the Leningrad region. It is established that due to possibility to combine and simultaneously analyze in the diverse combination of remote sensing data and various multi-temporal electronic thematic maps (geographical, geological, soil, geobotanical, forest plantation plans, etc.) we can talk about the new use of the cartographic method. These materials clearly show that the study of forest ecosystems built on the widespread use of multi-temporal e-cards allows much more effective than conventional methods, to solve many scientific and production problems.


2002 ◽  
Vol 8 (1) ◽  
pp. 15-22
Author(s):  
V.N. Astapenko ◽  
◽  
Ye.I. Bushuev ◽  
V.P. Zubko ◽  
V.I. Ivanov ◽  
...  

2011 ◽  
Vol 17 (6) ◽  
pp. 30-44
Author(s):  
Yu.V. Kostyuchenko ◽  
◽  
M.V. Yushchenko ◽  
I.M. Kopachevskyi ◽  
S. Levynsky ◽  
...  

2017 ◽  
Vol 6 (1) ◽  
pp. 2246-2252 ◽  
Author(s):  
Ajay Roy ◽  
◽  
Anjali Jivani ◽  
Bhuvan Parekh ◽  
◽  
...  

Author(s):  
Rupali Dhal ◽  
D. P. Satapathy

The dynamic aspects of the reservoir which are water spread, suspended sediment distribution and concentration requires regular and periodical mapping and monitoring. Sedimentation in a reservoir affects the capacity of the reservoir by affecting both life and dead storages. The life of a reservoir depends on the rate of siltation. The various aspects and behavior of the reservoir sedimentation, like the process of sedimentation in the reservoir, sources of sediments, measures to check the sediment and limitations of space technology have been discussed in this report. Multi satellite remote sensing data provide information on elevation contours in the form of water spread area. Any reduction in reservoir water spread area at a specified elevation corresponding to the date of satellite data is an indication of sediment deposition. Thus the quality of sediment load that is settled down over a period of time can be determined by evaluating the change in the aerial spread of the reservoir at various elevations. Salandi reservoir project work was completed in 1982 and the same is taken as the year of first impounding. The original gross and live storages capacities were 565 MCM& 556.50 MCM respectively. In SRS CWC (2009), they found that live storage capacity of the Salandi reservoir is 518.61 MCM witnessing a loss of 37.89 MCM (i.e. 6.81%) in a period of 27 years.The data obtained through satellite enables us to study the aspects on various scales and at different stages. This report comprises of the use of satellite to obtain data for the years 2009-2013 through remote sensing in the sedimentation study of Salandi reservoir. After analysis of the satellite data in the present study(2017), it is found that live capacity of the reservoir of the Salandi reservoir in 2017 is 524.19MCM witnessing a loss of 32.31 MCM (i.e. 5.80%)in a period of 35 years. This accounts for live capacity loss of 0.16 % per annum since 1982. The trap efficiencies of this reservoir evaluated by using Brown’s, Brune’s and Gill’s methods are 94.03%, 98.01and 99.94% respectively. Thus, the average trap efficiency of the Salandi Reservoir is obtained as 97.32%.


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