Social Value of Technology Simulation: Path Exploration of Positioning Antenna Optimization to Empower Ecological Watershed Management
DOI:
https://doi.org/10.54097/cf6gfn09Keywords:
Technology Simulation, Antenna Performance Optimization, Ecological Watershed Management, Signal StabilityAbstract
In the context of global ecological governance transitioning from “end-to-end control” to “intelligent prevention”, signal instability of positioning antennas in complex geographic environments has become a key technological bottleneck restricting the effectiveness of eco-basin governance. In this study, the performance defects of the traditional single-frequency signal receiving antenna are systematically optimized by introducing electromagnetic simulation technology, and a dual-frequency microstrip antenna array simulation model is constructed to support the cooperative reception of multi-satellite signals. Experimental results show that the optimized antenna achieves significant improvement in signal reception stability and positioning accuracy, providing reliable technical support for real-time accurate monitoring in ecological watershed management. Based on the above technical results, this paper further discusses the practical path of technical simulation empowering ecological watershed management, which provides new ideas for the innovation and practice of watershed management policy.
Downloads
References
[1] Colvin S A R, Sullivan S M P, Shirey P D, et al. Headwater streams and wetlands are critical for sustaining fish, fisheries, and ecosystem services[J]. Fisheries, 2019, 44(2): 73-91.
[2] Kuemlangan B, Amidjogbe E R, Nakamura J, et al. Enforcement approaches against illegal fishing in national fisheries legislation[J]. Marine Policy, 2023, 149: 105514.
[3] Gong X, Zhang W, Sang J, et al. In-flight performance assessment of the single-frequency GPS/BDS receiver for Yaogan-30 series satellites real-time navigation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58 (5): 4495-4505.
[4] Buttazzoni G, Marongiu E, Babich F, et al. A method of synthesis for multi-frequency smart antenna arrays for coastal monitoring [C]//2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). IEEE, 2023: 37-41.
[5] Yaqoob I, Salah K, Uddin M, et al. Blockchain for digital twins: Recent advances and future research challenges[J]. Ieee Network, 2020, 34(5): 290-298.
[6] Dmuchowski P, Dmuchowski W, Baczewska-Dąbrowska A H, et al. Environmental, social, and governance (ESG) model; impacts and sustainable investment–Global trends and Poland's perspective[J]. Journal of Environmental Management, 2023, 329: 117023.
[7] Li Y, Wang Q, Pan X, et al. Digital twins for engineering asset management: synthesis, analytical framework, and future directions [J]. Engineering, 2024, 41: 261-275.
[8] Xianmeng W, Mingyu W, Xiao H, et al. Multi-physics coupling simulation in virtual reactors[J]. Simulation, 2021, 97(10): 687-702.
[9] Sun R, Wang G, Cheng Q, et al. Improving GPS code phase positioning accuracy in urban environments using machine learning[J]. IEEE Internet of Things Journal, 2020, 8(8): 7065-7078.
[10] Ren Y, Lu L, Yu H, et al. Game strategies in government-led eco-compensation in the Xin’an River Basin from the perspective of the politics of scale[J]. Journal of Geographical Sciences, 2021, 31(8): 1205-1221.
[11] Jun Z, Jing R, Miao X, Xiaonan T, Yixin Z, et al. Multiscale Watershed Landscape Infrastructure: Integrated System Design for Sponge City Development[J], Urban forestry & urban greening, 2021, 60: 127060-127060.
[12] Guangyu W, Shari M, Haisheng C, Shirong L, Zhiqiang Z, Liguo W, John L I, et al. Integrated Watershed Management: Evolution, Development and Emerging Trends[J], Journal of Forestry Research, 2016, 27(5): 967-994.
[13] Zeynep Engin, Philip Treleaven. Algorithmic Government: Automating Public Services and Supporting Civil Servants in Using Data Science Technologies[J], The Computer Journal, 2019, 62(3): 448-460.
[14] Peng G, Wang Y, Kasuganti R. Technological embeddedness and household computer adoption[J]. Information Technology & People, 2011, 24(4): 414-436.
[15] Liu T. Research on microstrip patch antenna arraying [D]. Lanzhou University, 2006.
[16] Werfelli H, Tayari K, Chaoui M, et al. Design of rectangular microstrip patch antenna[C]//2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2016: 798-803.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Academic Journal of Management and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

