scholarly journals Prediction of Volumetric Shrinkage in Expansive Soils (Role of Remote Sensing)

10.5772/8328 ◽  
2009 ◽  
Author(s):  
Fekerte Arega ◽  
Freek van der Meer ◽  
Harald van der Werff
Keyword(s):  
Remote Sensing ◽  
Expansive Soils ◽  
Volumetric Shrinkage

The role of remote sensing in hydrological modelling of the Okavango Delta, Botswana

2009 ◽  
Vol 90 (7) ◽  
pp. 2252-2260 ◽  
Author(s):  
Christian Milzow ◽  
Lesego Kgotlhang ◽  
Wolfgang Kinzelbach ◽  
Philipp Meier ◽  
Peter Bauer-Gottwein
Keyword(s):  
Remote Sensing ◽  
Hydrological Modelling ◽  
Okavango Delta

Shrinkage properties of natural and diesel oil-contaminated fine soils from central Poland

2021 ◽  
pp. qjegh2021-006
Author(s):  
Dorota Izdebska-Mucha ◽  
Emilia Wójcik
Keyword(s):  
Expansive Soils ◽  
Diesel Oil ◽  
Hydrocarbon Contamination ◽  
Volumetric Shrinkage ◽  
Limit Values ◽  
Central Poland ◽  
Shrinkage Behaviour ◽  
Margin Of Safety ◽  
Glacial Tills

The objectives of this paper are to provide a regional description of the shrinkage parameters of Neogene clays and glacial tills from central Poland; and to present the effects of hydrocarbon contamination on the shrinkage behaviour of soils. Forty samples containing from 19 to 90% clay-size particles were tested. The comparison of the three methods applied has indicated that the shrinkage limit values obtained by the BS 1377-2 method provide a greater margin of safety when used in the classification of expansive soils and yield the best matching in the analysis of the variability of the shrinkage limit in relation to other soil index parameters. A good correlation was found between the shrinkability index and the consistency index, which leads to a new classification of soils. The shrinkage tests of clean and diesel oil-contaminated samples revealed that contamination has a significant and irregular effect on the values of shrinkage parameters. For low degree of contamination the shrinkage limit of both soils had the lowest values and the volumetric shrinkage was maximum, and then with increasing ON content the shrinkage limit values tend to increase, while the volumetric shrinkage decreased.

Application of Remote Sensing in Fisheries: Role of Potential Fishing Zone Advisories

2013 ◽  
pp. 175-186
Author(s):  
Gaihiamngam Kamei ◽  
Jasmin F. Felix ◽  
Latha Shenoy ◽  
S. P. Shukla ◽  
H. Mandakini Devi
Keyword(s):  
Remote Sensing ◽  
Potential Fishing Zone

scholarly journals Priority scientific and technical tasks in the field of exploration and efficient use of outer space

2019 ◽  
Vol 89 (5) ◽  
pp. 496-501
Author(s):  
V. A. Soloviev ◽  
A. A. Kovalenko ◽  
S. V. Soloviev
Keyword(s):  
Remote Sensing ◽  
Noise Immunity ◽  
Outer Space ◽  
Space Communications ◽  
Existing Problems ◽  
Space Navigation ◽  
The Earth ◽  
Fundamental Research ◽  
The Russian Federation

The article discusses the main directions of development of cosmonautics, which have an impact on ensuring the connectivity of the territories of the Russian Federation. The key role of such areas of space activity as space navigation, space communications, remote sensing of the Earth, applied and fundamental research in space is shown. An analysis of the development trends of applied cosmonautics, existing problems and ways to solve them is conducted: increasing the scientific space and remote sensing group of the Earth, methods of improving the accuracy of positioning, availability, noise immunity of space navigation, etc.

The role of remote sensing on studying mangrove forest extent change

2018 ◽  
Vol 39 (19) ◽  
pp. 6440-6462 ◽  
Author(s):  
Luojia Hu ◽  
Wenyu Li ◽  
Bing Xu
Keyword(s):  
Remote Sensing ◽  
Mangrove Forest

Brittle deformation effects on the geothermal area framework, in Southern Tuscany, by multiscale lineament domain analysis

2021 ◽  
Author(s):  
Federico Rabuffi ◽  
Massimo Musacchio ◽  
Francesco Salvini ◽  
Malvina Silvestri ◽  
Maria Fabrizia Buongiorno
Keyword(s):  
Remote Sensing ◽  
Domain Analysis ◽  
Multiscale Approach ◽  
Geothermal Area ◽  
Brittle Deformation ◽  
Tectonic Structures ◽  
Structural Framework ◽  
Ophiolitic Rocks ◽  
The Relationship

<p>Remote Sensing is a proven tool to study the Earth's surface and allows to analyze the wide portion of the surfaces by using different platforms/sensors (e.g. optical and active remote sensing, lidar), giving the possibility of multidisciplinary and multiscale approaches. In the proposed study, remote sensing analysis provides the possibility to understand the relationship between tectonic structures, lithology, and geothermal manifestations, and to test these techniques to monitor geothermal areas. This study allowed us to better understand the structural framework of a geothermal area, located in Southern Tuscany, highlighting the role of brittle deformation to produce an enhanced pathway for fluid migrations and upwelling.</p><p>The studied area is the “Parco Naturalistico delle Biancane” (PNB) in the Grosseto province and belongs to the Cenozoic Tyrrhenian-Apennine orogenic system. The tectonic framework includes a fault and thrust belt setting derived from the collision between the Corsica-Sardinia Block and Adriatic Plate during late Oligocene-Miocene times. This process determined the pile-up of several tectonic units which are, from the top: (1) Ligurian Units consisting of ophiolitic rocks and pelagic sediments (Jurassic - Oligocen); (2) Cretaceous-Oligocene terrigenous deposits; (3) The Mesozoic Tuscan Nappe. Successively, the belt was affected by a regional, mainly extensional tectonics, then a magmatic intrusion affected this thinned Tyrrhenian belt to form the Tuscan Magmatic Province. In Recent time, the region underwent a general, yet differentiated uplift, and the major geothermal areas locate to the relative higher zone. This provides the Southern Tuscany to be the main Italian geothermal area.</p><p>In this study, we analyzed the area from several points of view. The lineament domain analysis was performed in a multiscale approach: from 90 meters to 5 meters of pixel size, including 30 m and 10 m. This multiscale analysis allowed the identification of a number of lineament clusters related to the different tectonic phases which affected the PNB area. The found lineament distribution (in terms of azimuth and length) reflects the geodynamics effects on the surface, their clustering was related to the various crustal stress trajectories both at the regional and local scales.</p>

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