<title>Lake Baikal: water turbidity monitoring and bathymetry with an airborne lidar</title>

Abstract. Airborne LiDAR bathymetry is an efficient technique for surveying the bottom of shallow waters. In addition, the measurement data contain valuable information about the local turbidity conditions in the water body. The extraction of this information requires appropriate evaluation methods examining the decay of the recorded waveform signal. Existing approaches are based on several assumptions concerning the influence of the ALB system on the waveform signal, the extraction of the volume backscatter, and the directional independence of turbidity. The paper presents a novel approach that overcomes the existing limitations using two alternative turbidity estimation methods as well as different variants of further processed full-waveform data. For validation purposes, the approach was applied to a data set of a shallow inland water. The results of the quantitative evaluation show, which method and which data basis is best suited for the derivation of area wide water turbidity information.

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Development of equipment for the monitoring system of the Baikal water area

E3S Web of Conferences ◽

10.1051/e3sconf/201910204001 ◽

2019 ◽

Vol 102 ◽

pp. 04001

Author(s):

Roman Belousov ◽

Andrey Nikolaev ◽

Eugene Fiskin ◽

Margarita Fiskina

Keyword(s):

Monitoring System ◽

Lake Baikal ◽

System Development ◽

Water Area ◽

Economic Costs ◽

Baikal Water ◽

High Productivity ◽

Software Optimization ◽

Ongoing Monitoring ◽

Selection Of

This article is devoted to the development of a monitoring system of Lake Baikal. The developed system should provide ongoing monitoring of hydrophysical parameters of water in different areas of the lake, which will allow identifying signs of environmental pollution of Lake Baikal timely. A distinctive feature of the created system is high productivity at low economic costs per accounting point. The appropriate selection of the component base and software optimization of algorithms will allow achieving the maximum range of data transmission at a distance of up to 100 km in an open area. The interim results of the monitoring system development are presented, the tasks for the current year are defined.

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Snow pollution in Lake Baikal water area in nearby land areas

Water Resources ◽

10.1134/s0097807817030046 ◽

2017 ◽

Vol 44 (3) ◽

pp. 471-484 ◽

Cited By ~ 8

Author(s):

I. A. Belozertseva ◽

I. B. Vorobyeva ◽

N. V. Vlasova ◽

D. N. Lopatina ◽

M. S. Yanchuk

Keyword(s):

Lake Baikal ◽

Water Area ◽

Baikal Water

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Changes in lake baikal water levels and runoff direction in the quaternary period

Lake Baikal ◽

10.1016/b978-044450434-0/50003-2 ◽

2000 ◽

pp. 15-34 ◽

Cited By ~ 7

Author(s):

V.D. Mats ◽

S. Fujii ◽

K. Mashiko ◽

E.Yu. Osipov ◽

I.M. Yefrimova ◽

...

Keyword(s):

Lake Baikal ◽

Water Levels ◽

Quaternary Period ◽

Baikal Water

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Methods for Monitoring the Chemical Composition of Lake Baikal Water

Springer Water - Novel Methods for Monitoring and Managing Land and Water Resources in Siberia ◽

10.1007/978-3-319-24409-9_3 ◽

2015 ◽

pp. 113-132 ◽

Cited By ~ 5

Author(s):

Tamara Khodzher ◽

Valentina M. Domysheva ◽

Larisa M. Sorokovikova ◽

Liudmila P. Golobokova

Keyword(s):

Chemical Composition ◽

Lake Baikal ◽

Baikal Water

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Determination of 56 Elements in Lake Baikal Water by High-Resolution ICP-MS with the Aid of a Tandem Preconcentration Method

Analytical Sciences ◽

10.2116/analsci.24.1513 ◽

2008 ◽

Vol 24 (11) ◽

pp. 1513-1517 ◽

Cited By ~ 5

Author(s):

Dwinna RAHMI ◽

Yanbei ZHU ◽

Tomonari UMEMURA ◽

Hiroki HARAGUCHI ◽

Akihide ITOH ◽

...

Keyword(s):

High Resolution ◽

Lake Baikal ◽

Baikal Water ◽

Icp Ms ◽

Preconcentration Method

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Methane hydrate emergence from Lake Baikal: direct observations, modelling, and hydrate footprints in seasonal ice cover

Scientific Reports ◽

10.1038/s41598-019-55758-8 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 4

Author(s):

N. G. Granin ◽

I. A. Aslamov ◽

V. V. Kozlov ◽

M. M. Makarov ◽

G. Kirillin ◽

...

Keyword(s):

Water Column ◽

Lake Baikal ◽

Methane Hydrate ◽

Ice Cover ◽

Transport Processes ◽

Methane Hydrates ◽

Initial Radius ◽

Column Temperature ◽

Baikal Water ◽

Direct Observations

AbstractThis paper provides a novel report of methane hydrates rising from bottom sediments to the surface of Lake Baikal, validated by photo and video records. The ascent of hydrates in the water column was confirmed by hydroacoustic data showing rising objects with velocities significantly exceeding the typical speeds (18–25 cm s−1) of gas bubbles. Mathematical modelling along with velocity and depth estimates of the presumed methane hydrates coincided with values observed from echograms. Modelling results also showed that a methane hydrate fragment with initial radius of 2.5 cm or greater could reach the surface of Lake Baikal given summer water column temperature conditions. Results further show that while methane bubbles released from the deep sedimentary reservoir would dissolve in the Lake Baikal water column, transport in hydrate form is not only viable but may represent a previously overlooked source of surface methane with subsequent emissions to the atmosphere. Methane hydrates captured within the ice cover may also cause the formation of unique ice structures and morphologies observed around Lake Baikal. Sampling of these ice structures detected methane content that exceeded concentrations measured in surrounding ice and from the atmosphere demonstrating a link with the methane transport processes described here.

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DETECTION AND EXTRACTION OF WATER BOTTOM TOPOGRAPHY FROM LASERBATHYMETRY DATA BY USING FULL-WAVEFORM-STACKING TECHNIQUES

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w13-1053-2019 ◽

2019 ◽

Vol XLII-2/W13 ◽

pp. 1053-1059 ◽

Cited By ~ 1

Author(s):

D. Mader ◽

K. Richter ◽

P. Westfeld ◽

R. Weiß ◽

H.-G. Maas

Keyword(s):

Penetration Depth ◽

High Reliability ◽

Bottom Topography ◽

Airborne Lidar ◽

Water Bodies ◽

Water Turbidity ◽

Full Waveform ◽

Reliable Detection ◽

Airborne Lidar Bathymetry ◽

Water Bottom

<p><strong>Abstract.</strong> Airborne LiDAR bathymetry allows an efficient and area-wide acquisition of water bottom points in shallow water areas. However, the measurement method is severely limited by water turbidity, impending a reliable detection of water bottom points at higher turbidity or in deeper water bodies. This leads to an incomplete acquisition of the water bottom topography. In this contribution, advanced processing methods are presented, which increase the penetration depth compared to the original processed data and enable a reliable extraction and detection of bottom points in deeper water bodies. The methodology is based on the analysis of correlated neighborhood information assuming a steady water bottom. The results confirm a significantly higher penetration depth with a high reliability of the additionally extracted water bottom points along with a larger coverage of the water bottom topography.</p>

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