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Analytical volume model for optimized spatial radar bat detection in onshore wind parks.

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This study enhances pulse radar technology for detecting bats near wind turbines. Optimized radar systems offer significantly larger detection volumes, aiding in developing effective bat protection measures.

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Area of Science:

  • Environmental Science
  • Wildlife Ecology
  • Radar Technology

Background:

  • Effective mitigation strategies for bats near onshore wind turbines require advanced detection methods.
  • Radar technology, successful in ornithology, presents potential but faces challenges in measurement comparability and ground clutter interference.

Purpose of the Study:

  • To improve a commercial pulse radar for 3D spatial detection of bat-sized objects in onshore wind farms.
  • To develop an analytical spatial detection volume model incorporating calibrated radar data and landscape parameters.
  • To enhance detection capabilities for large-scale bat monitoring.

Main Methods:

  • Developed an analytical spatial detection volume model using calibrated radar data and clutter parameters.
  • Experimentally determined minimum signal power and radar cross section (RCS) of an artificial bat for model calibration.
  • Optimized spatial detection volume using a clutter shielding fence (CSF) and computer simulations.

Main Results:

  • Achieved a maximum detection range of 800 m with an RCS of 12.7 cm² for an artificial bat.
  • Incorporating a CSF model extended the detection volume by a factor of 2.5.
  • The pulse radar demonstrated a 270 times larger detection volume compared to acoustic methods, confirming large-scale capabilities.

Conclusions:

  • Improved pulse radar technology offers significant advancements for 3D spatial detection of bats.
  • The developed model and CSF optimization enhance detection range and volume, crucial for large-scale environmental monitoring.
  • This technology provides a powerful tool for developing effective bat mitigation strategies around wind turbines.