Geomatics and Environmental Engineering
Loading...
ISSN 1898-1135
e-ISSN: 2300-7095
Issue Date
2020
Volume
Vol. 14
Number
No 4
Description
Journal Volume
Geomatics and Environmental Engineering
Vol. 14 (2020)
Projects
Pages
Articles
Presentation of a wavelet‑based harmonic model for tidal level forecasting at Sabah and Sarawak
(Wydawnictwa AGH, 2020) Abubakar, Auwal Garba; Mahmud, Mohd Razali; Tang, Kelvin Kang Wee; Hussaini, Alhaji
The world's tides are a result of the combined forces of celestial forces and centrifugal force exerted by the Earth‑Moon and the Sun acting on the water body, earth tides and the atmospheric tides. Harmonic analysis is the most popular and widely accepted method used for the processing and expression of tidal behavior as well as its characteristics. Despite its strengths, harmonic analysis has a few drawbacks when short data are involved for long term‑prediction. However, to enhance the accuracy of the popular methodology of harmonic analysis (HA), this study presents a wavelet‑based harmonic model for tidal analysis and prediction. Six months of water level heights at four tide gauge stations in Sabah and Sarawak of Malaysia were employed. The results obtained agrees with the original data when a comparison was made. The root mean square error (RMSE) and Pearson correlation coefficient (r) are the statistical index tools applied to test the functioning of the model. The residual error is the deviation between the original data and the predicted data which was also computed in this study. The new wavelet‑based harmonic model improves the accuracy of prediction. Moreover, the model is efficient and feasible for tidal analysis and prediction.
NOAA marine geophysical data and a GEBCO grid for the topographical analysis of Japanese Archipelago by means of GRASS GIS and GDAL Library
(Wydawnictwa AGH, 2020) Lemenkova, Polina Alekseevna
This article analyzes topographical and geological settings in the Japan Archipelago for comparative raster data processing using GRASS GIS. Data include bathymetric and geological grids in NetCDF format: GEBCO, EMAG2, GlobSed, marine free-air gravity anomaly and EGM96. Data were imported to GRASS by gdalwarp utility of GDAL and projected via PROJ library. Methodology includes data processing (projecting and import), mapping and spatial analysis. Visualization was done by shell scripting using a sequence of GRASS modules: 'd.shade' for relief mapping, 'r.slope.aspect', for modelling based on DEM, 'r.contour' for plotting isolines, 'r.mapcalc' for classification, 'r.category' for associating labels, and auxiliary modules (d.vect, d.rast, d.grid, d.legend). The results of the geophysical visualization show that marine free-air gravitational anomalies vary in the Sea of Japan (-30 to above 40 mGal) reflecting density inhomogeneities of the tectonic structure, and correlating with the geological structure of the seafloor. Dominating values of geoid model are 30-45 m reflecting West Pacific rise, determined by deep density inhomogeneities associated with the mantle convention. Sediment thickness varies across the sea reflecting its geological development with density of 2 km in its deepest part and thinner in central part (Yamato Rise). The aspect map and reclassified map express gradient of the steepest descent.
Implementation of GIS application for water company needs
(Wydawnictwa AGH, 2020) Mikrenska-Černeva, Kristina Ognânova; Mladenov, Radoslav
The process of designing and implementing industrial models (or GIS) for underground utility infrastructure (UUI) includes a number of activities related to the analysis of source data to identify objects, pre‑processing the initial data, creating spatial database and development of relevant graphic (maps) and text (registers) products. Nowadays, every organization needs to be flexible and able to respond in a timely and adequate manner to the changes that occur in a complex and dynamic external environment. This is the reason why the paper proposes an approach for the design and development of a geoinformation system (GIS), through the capabilities of modern software for a part of the water supply and sewerage network for the needs of Water Supply and Sewerage Berkovitsa LTD. The purpose of the paper and GIS for maintaining data on UUI is to provide access to digital data for underground utility infrastructure and their characteristics, as well as to assist in the easy creation of references to underground utility infrastructure data in digital and graphic form.
Preliminary analysis of the applicability of the GPS PPP method in geodynamic studies
(Wydawnictwa AGH, 2020) Pelc-Mieczkowska, Renata
GNSS station movements as an indicator of the movement of the Earth's crust are determined by many researchers with the use of various position and trend determination methods. One of such methods is PPP method which allows the determination of a trend for the station without a correlation (direct determination of the position of each station separately). To achieve accuracy comparable with relative positioning, there is the need to use external, high‑precision data or models (e.g. precise satellite orbits and clocks, ionosphere and tropo‑ sphere models, etc.) while the PPP method is applied. The main purpose of the presented research is preliminary analyses of the results of processing daily GPS observations from permanent stations with the use of the PPP method. Daily GPS observational data in RINEX format have been acquired from a total of nine selected GNSS permanent stations from the Polish ASG EUPOS and the Ukrainian UA-EUPOS/ZAKPOS systems. As external data for PPP solutions JPL products have been used. A seven‑year time series was created for each station.
Application of satellite monitoring data for winter cereals growing in the Lviv region
(Wydawnictwa AGH, 2020) Stupen', Mihajlo Grigorovič; Stupenʹ, Nazar Mihajlovič; Rižok, Zorâna Ruslanìvna; Stupenʹ, Oksana Ìvanìvna
The authors applied satellite monitoring data of agricultural lands of the geographic information system of International Production Assessment Division of the United States Department of Agriculture on the example of winter cereal cultivation. The authors did so according to the indices of vegetation index NDVI, information on atmospheric precipitation, soil moisture, and air temperature compared to Earth observations to estimate the condition of their sowing area. According to the research results, one can use remote sensing data of the IPAD USDA geographic information system to monitor agricultural land, yield capacity prediction and the estimation of gross agricultural products.