Relationship between sediment distribution and Posidonia oceanica seagrass

G. De Falco; S. Ferrari; G. Cancemi; M. Baroli

doi:10.1007/s003670000030

Relationship between sediment distribution and Posidonia oceanica seagrass

Geo-Marine Letters ◽

10.1007/s003670000030 ◽

2000 ◽

Vol 20 (1) ◽

pp. 50-57 ◽

Cited By ~ 55

Author(s):

G. De Falco ◽

S. Ferrari ◽

G. Cancemi ◽

M. Baroli

Keyword(s):

Posidonia Oceanica ◽

Sediment Distribution

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Evaluation of Capacity of Salandi Reservoir Using Remote Sensing Data Along With Qgis Software

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i8.164 ◽

2018 ◽

Vol 6 (8) ◽

pp. 339

Author(s):

Rupali Dhal ◽

D. P. Satapathy

Keyword(s):

Remote Sensing ◽

Satellite Data ◽

Remote Sensing Data ◽

Project Work ◽

Space Technology ◽

Reservoir Water ◽

Sediment Distribution ◽

Sensing Data ◽

Spread Area ◽

Water Spread

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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