KaydedilenlerDerginizi ekleyin

Dergiler / International Journal of Engineering and Geosciences / 2024 / Volume: 9 Issue: 3

Virtual geographical environment (VGEs) by incorporation of unmanned aerial vehicle (UAV) imagery and acoustic profile for Pond Borabey

Zehra Yiğit Avdan(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0001-7445-3393
Ece Tuğba Çetinkaya(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0002-2320-073X
Serdar Göncü(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0002-6296-3297
Resul Çömert(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0003-0125-4646
Uğur Avdan(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0001-7873-9874
Sayfa
—
Yayın Tarihi
2024-10-31
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In this approach, the pond's underwater topography of the pond contributed to the sustainable management of the pond by producing Digital Elevation Models (DEM), which is a sensitive indicator of climate change and man-made effects.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The Virtual Geographic Environment (VGEs) is a framework in which real-world information is conveyed and converted into the digital world.
📊
Temel Bulgular & Veri:It contributes to a better understanding of geographic knowledge by human beings and helps decision-makers by giving them a profound view of geographic concerns like three-dimensional (3D) models.
💡
Sonuç & Katkı:In this approach, the pond's underwater topography of the pond contributed to the sustainable management of the pond by producing Digital Elevation Models (DEM), which is a sensitive indicator of climate change and man-made effects.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Acoustic Doppler Profile · Bathymetry · Digital elevation Model

Abstract

The Virtual Geographic Environment (VGEs) is a framework in which real-world information is conveyed and converted into the digital world. It contributes to a better understanding of geographic knowledge by human beings and helps decision-makers by giving them a profound view of geographic concerns like three-dimensional (3D) models. The production of 3D models is essential for the characterization, monitoring, and management of water areas. This study aims to expose the 3D model of the pond in the presence of Unmanned Aerial Vehicle (UAV) and Acoustic Doppler Profile (ACDP) bathymetry to precisely determine the actual amount of water in the pond for possible water problems in the future. Moreover, determine how the sediments carried by the mainstream and side tributaries feeding the pond affect the pond’s water volume and in which parts of the pond their accumulation is concentrated. This study will contribute to the literature by using an ACDP device for the bathymetry measurement process which is rare in the literature. In this approach, the pond's underwater topography of the pond contributed to the sustainable management of the pond by producing Digital Elevation Models (DEM), which is a sensitive indicator of climate change and man-made effects.

🔖

Bu Makaleye Atıf Yap

Avdan, Z. Y., Çetinkaya, E. T., Göncü, S., Çömert, R., Avdan, U. (2024). Virtual geographical environment (VGEs) by incorporation of unmanned aerial vehicle (UAV) imagery and acoustic profile for Pond Borabey. International Journal of Engineering and Geosciences, Volume: 9 Issue: 3. https://doi.org/10.26833/ijeg.1475023

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (49)

  1. Loucks, D., & Gladwell, J. (1999). Sustainability criteria for water resource systems. United Kingdom: Cambridge University Press.
  2. Michalec B. (2021). Seasonal variations in nickel contamination of water and sediments of small dam reservoirs in southern Poland. Carpathian Journal of Earth and Environmental Sciences, 16(2), 349–360. https://doi.org/10.26471/cjees/2021/016/180
  3. Wang, J., Zhu, L., Daut, G., Ju, J., Lin, X., Wang, Y., & Zhen, X. (2009). Investigation of bathymetry and water quality of Lake Nam Co, the largest lake on the central Tibetan Plateau, China. Limnology, 10(2), 149–158. https://doi.org/10.1007/S10201-009-0266-8
  4. Lachhab, A., Booterbaugh, A., & Beren, M. (2015). Bathymetry and Sediment Accumulation of Walker Lake, PA Using Two GPR Antennas in a New Integrated Method. Journal of Environmental and Engineering Geophysics, 20(3), 245–255. https://doi.org/10.2113/JEEG20.3.245
  5. Ławniczak, A., Choiński, A., & Kurzyca, I. (2011). Dynamics of lake morphometry and bathymetry in various hydrological conditions. Polish Journal of Environmental Studies, 20(4), 931–940.
  6. Mohamed, H., Negm, A., Zahran, M., & Saavedra, O. (2016). Bathymetry determination from high resolution satellite imagery using ensemble learning algorithms in Shallow Lakes: Case study El-Burullus Lake. International Journal of Environmental Science and Development, 7(4), 295–301. https://doi.org/10.7763/IJESD.2016.V7.787
  7. Dekker, A. G., Phinn, S. R., Anstee, J., Bissett, P., Brando, V. E., Casey, B., … Roelfsema, C. (2011). Intercomparison of shallow water bathymetry, hydro‐optics, and benthos mapping techniques in Australian and Caribbean coastal environments. Limnology and Oceanography: Methods, 9(SEP), 396–425. https://doi.org/10.4319/lom.2011.9.396
  8. Moses, S. A., Janaki, L., Joseph, S., Justus, J., & Vimala, S. R. (2011). Influence of lake morphology on water quality. Environmental Monitoring and Assessment, 182(1–4), 443–454. https://doi.org/10.1007/S10661-011-1888-Y
  9. Opeyemi, A. J., Rasheed, A. B., Margret, O. O., & Olusola, A. R. (2016). Baseline physico-chemical and bathymetry assessment of Mahin Lake, Southwestern, Nigeria, 7(4), 33–41. https://doi.org/10.5897/JOMS2016.0133
  10. Rotaru, E., Le Coz, J., Drobot, R., Adler, M. J., Dramais, G., Rotaru, E., Adler, M.-J. (2006). ADcp measurements of suspended sediment fluxes in Banat rivers, Romania. Balwois.
  11. Honegger, D. A., Haller, M. C., & Holman, R. A. (2020). High-resolution bathymetry estimates via X-band marine radar: 2. Effects of currents at tidal inlets. Coastal Engineering, 156. https://doi.org/10.1016/J.COASTALENG.2019.103626
  12. Mejia-Olivares, C. J., Haigh, I. D., Lewis, M. J., & Neill, S. P. (2020). Sensitivity assessment of bathymetry and choice of tidal constituents on tidal-stream energy resource characterisation in the Gulf of California, Mexico. Applied Ocean Research, 102. https://doi.org/10.1016/J.APOR.2020.102281
  13. Gao, J. (2009). Bathymetric mapping by means of remote sensing: Methods, accuracy and limitations. Progress in Physical Geography, 33(1), 103–116. https://doi.org/10.1177/0309133309105657
  14. Villalpando, F., Tuxpan, J., Ramos-Leal, J. A., & Carranco-Lozada, S. (2020). New Framework Based on Fusion Information from Multiple Landslide Data Sources and 3D Visualization. Journal of Earth Science, 31(1), 159–168. https://doi.org/10.1007/S12583-019-1243-8
  15. Makineci, H. B. (2016). İnsansız hava araçları lidar etkileşimi. Geomatik, 1(1), 19–23.
  16. Nhamo, L., Magidi, J., & Nyamugama, A. (2020). Prospects of improving agricultural and water productivity through unmanned aerial vehicles. Agriculture.
  17. Taddia, Y., Russo, P., Lovo, S., & Pellegrinelli, A. (2020). Multispectral UAV monitoring of submerged seaweed in shallow water. Applied Geomatics, 12, 19–34. https://doi.org/10.1007/S12518-019-00270-X
  18. Cook, K. (2017). An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection. Geomorphology, 278, 195–208.
  19. Koparan, C., Koc, A., & Privette, C. (2018). In situ water quality measurements using an unmanned aerial vehicle (UAV) system. Water, 10(3), 264.
  20. Kim, J., Baek, D., & Seo, I. (2019). Retrieving shallow stream bathymetry from UAV-assisted RGB imagery using a geospatial regression method. Geomorphology, 341, 102–114.
  21. Amlashi, H. H., Samadzadegan, F., Dadrass Javan, F., & Savadkouhi, M. (2020). Comparing the accuracy of GNSS positioning variants for uav based 3D map generation. isprs-archives.copernicus.orgH Haddadi Amlashi, F SamadzadegaThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 443–449. https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-443-2020
  22. Alptekin, A., & Yakar, M. (2020). Determination of pond volume with using an unmanned aerial vehicle. Mersin Photogrammetry Journal, 2(2), 59-63.
  23. Ahmet, Ş., & Yakar, M. (2018). Photogrammetric modelling of hasbey dar’ülhuffaz (masjid) using an unmanned aerial vehicle. Journal of Engineering and Geosciences, 3(1), 6–011. https://doi.org/10.26833/ijeg.328919
  24. Lin, H., Chen, M., Lu, G., Zhu, Q., Gong, J., You, X., … Hu, M. (2013). Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool. Earth-Science Reviews, 126, 74–84. https://doi.org/10.1016/J.EARSCIREV.2013.08.001
  25. Lin, H., Chen, M., & Lu, G. (2013). Virtual geographic environment: a workspace for computer-aided geographic experiments. Annals of the Association of American Geographers, 103(3), 465–482. https://doi.org/10.1080/00045608.2012.689234
  26. Mekni, M. (2012). Abstraction of informed virtual geographic environments. Geo-spatial Information Science, 15(1), 27–36. https://doi.org/10.1080/10095020.2012.708150
  27. Chen, M., Lin, H., Kolditz, O., & Chen, C. (2015). Developing dynamic virtual geographic environments (VGEs) for geographic research. Environmental Earth Sciences, 74(10), 6975–6980. https://doi.org/10.1007/S12665-015-4761-4
  28. Lin, H., Batty, M., Jørgensen, S., Bojie, F., Milan, K., Voinov, A., … Gong, J. (2015). Virtual environments begin to embrace process‐based geographic analysis. Transactions in GIS, 19(4), 493–498. https://doi.org/10.1111/tgis.12167
  29. Lü, G., Yu, Z., Zhou, L., Wu, M., Sheng, Y., & Yuan, L. (2015). Data environment construction for virtual geographic environment. Environmental Earth Sciences, 74(10), 7003–7013. https://doi.org/10.1007/s12665-015-4736-5
  30. Yan, C., Rink, K., Bilke, L., Nixdorf, E., Yue, T., & Kolditz, O. (2019). Virtual Geographical Environment-Based Environmental Information System for Poyang Lake Basin, 293–308. https://doi.org/10.1007/978-3-319-97725-6_18
  31. Chen, M., Lin, H., & Lu, G. (2017). Virtual Geographic Environments. International Encyclopedia of Geography, 1–11. https://doi.org/10.1002/9781118786352.WBIEG0448
  32. Zhou, T., Long, Y., Zhang, L., & Tao, F. (2010). Research on geographic environment and area evolution of Lake Ulungur region based on 3S technology. 2010 International Conference on Multimedia Technology, ICMT 2010. https://doi.org/10.1109/ICMULT.2010.5631208
  33. Câmara, A. S., Neves, J. N., Muchaxo, J., Fernandes, J. P., Sousa, I., Nobre, E., … Rodrigues, A. C. (1998). Virtual Environments and Water Quality Management. Journal of Infrastructure Systems, 4(1), 28–36. https://doi.org/10.1061/(ASCE)1076-0342(1998)4:1(28)
  34. Rink, K., Chen, C., Bilke, L., Liao, Z., Rinke, K., Frassl, M., Kolditz, O. (2018). Virtual geographic environments for water pollution control. International Journal of Digital Earth, 11(4), 397–407. https://doi.org/10.1080/17538947.2016.1265016
  35. Liang, J., Gong, J., GIS, Y., & Li, Y. (2015). Realistic rendering for physically based shallow water simulation in Virtual Geographic Environments (VGEs). Taylor & Francis, 21(4), 301–312. https://doi.org/10.1080/19475683.2015.1050064
  36. Yan, C., Rink, K., Bilke, L., Nixdorf, E., Yue, T., & Kolditz, O. (2019). Virtual Geographical Environment-Based Environmental Information System for Poyang Lake Basin. Chinese Water Systems, 3, 293–308. https://doi.org/10.1007/978-3-319-97725-6_18
  37. Li, W., Zhu, J., Fu, L., Zhu, Q., Guo, Y., & Gong, Y. (2021). A rapid 3D reproduction system of dam-break floods constrained by post-disaster information. Environmental Modelling & Software, (104994), 139.
  38. Alvarez, L., Moreno, H., & Segales, A. (2018). Merging unmanned aerial systems (UAS) imagery and echo soundings with an adaptive sampling technique for bathymetric surveys. Remote Sensing, 10(9).
  39. Fernández-Lozano, J., & Andrés-Bercianos, R. (2020). On the origin of a remote mountainous natural reserve: Insights from a topo-bathymetry reconstruction of the glacial lake of Truchillas (NW Spain). Quaternary International, 566–567, 16–23. https://doi.org/10.1016/J.QUAINT.2020.02.004
  40. Saer, A. El, Stentoumis, C., Kalisperakis, I., & Nomikou, P. (2020). Developing a strategy for precise 3D modelling of large-scale scenes for VR. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 567–574. https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-567-2020
  41. Kapetanović, N., Kordić, B., & Vasilijević, A. (2020). Autonomous Vehicles Mapping Plitvice Lakes National Park, Croatia. Remote Sensing, 12(22).
  42. Kaya, M. (2013). Interaction of Water Quality with Basin Components in Small Water Bodies, 109.
  43. Ulvi, A. (2018). Analysis of the utility of the unmanned aerial vehicle (UAV) in volume calculation by using photogrammetric techniques. International Journal of Engineering and Geosciences, 3(2), 43-49. https://doi.org/10.26833/ijeg.377080
  44. Akar, A. (2017). Evaluation of accuracy of DEMs obtained from uav-point clouds for different topographical areas. International Journal of Engineering and Geosciences, 2(3), 110-117. https://doi.org/10.26833/ijeg.329717
  45. Kanun, E., Alptekin, A., & Yakar, M. (2021). Cultural heritage modelling using UAV photogrammetric methods: a case study of Kanlıdivane archeological site. Advanced UAV, 1(1), 24-33.
  46. Hamal, S. N. G. (2022). Accuracy of digital maps produced from UAV images in rural areas. Advanced UAV, 2(1), 29-34.
  47. Sontek. (2001). Sontek/YSI ADCP Acoustic Doppler Profiler Technical Documentation.
  48. Kim, J., Kim, D., Son, G., & Kim, S. (2015). Accuracy Analysis of Velocity and Water Depth Measurement in the Straight Channel using ADCP. Journal of the Korean Water Resources Association, 48(5), 367–377. https://doi.org/10.3741/JKWRA.2015.48.5.367
  49. Rotaru, E., Le Coz, J., Drobot, R., Adler, M. J., Dramais, G., Rotaru, E., Adler, M.-J. (2006). ADcp measurements of suspended sediment fluxes in Banat rivers, Romania. Balwois.