scholarly journals Reduction of surface radiative forcing observed from remote sensing data during global COVID-19 lockdown

2021 ◽  
pp. 105729
Author(s):  
Usman Mazhar ◽  
Shuanggen Jin ◽  
Muhammad Bilal ◽  
Md. Arfan Ali ◽  
Rehana Khan
2013 ◽  
Vol 37 (3) ◽  
pp. 397-421 ◽  
Author(s):  
Robert G. Bryant

The dust cycle can play an important role in the land–atmosphere–ocean system through interaction with biogeochemical cycles and direct and indirect radiative forcing of the atmosphere. One of the limiting factors for existing global models of dust transport, atmospheric processing and deposition is the quality and availability of data to allow evaluation and validation of emission schemes against in situ data from source regions. This review provides a critical overview of recent studies of aeolian processes from within or on dust sources, and focuses on studies dealing with retrieval of dust emission data, quantification of the contribution and variability of dust emissions from specific landforms, and the use of remote sensing data to reconcile dust storm inventories by direct comparison to dust source geomorphology. These case studies highlight significant advances in both field measurement and regional understanding of important components of the dust cycle derived through use of remote sensing data. However, recent research also demonstrates that most source regions exhibit significant spatial and temporal heterogeneity in dust emissions from candidate geomorphologies, which has direct implications for strategies aimed at inclusion of dust emission schemes at a scale relevant to climate models. To accommodate these factors and other significant scaling issues, additional research is needed to increase our quantification of a wider range of dust source types and geomorphological contexts over longer time periods.


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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