Geodesy and Geodynamics (Nov 2024)

Exploring the topographical pattern beneath the water surface: Global bathymetric volume-area-height curves (BVAH) of inland surface water bodies

  • Siyu Zhu,
  • Wei Wan,
  • Guoqing Zhang,
  • Zhaoyuan Yao,
  • Yue Xu,
  • Baojian Liu,
  • Zhizhou Guo,
  • Zengliang Luo,
  • Wentao Xiong,
  • Rui Ji,
  • Qingwen Ji,
  • Yu He,
  • Feng Lv,
  • Weizhen Fang,
  • Xiao Tan,
  • Qian Huang,
  • Lei Xiao,
  • Huan Li

Journal volume & issue
Vol. 15, no. 6
pp. 602 – 615

Abstract

Read online

Global inland surface water bodies such as lakes and reservoirs, important components of the hydrosphere and ecosphere, are increasingly affected by climate change. Generating bathymetric volume-area-height (BVAH) curves for global inland surface water bodies can enhance our understanding of their topography and climate impacts. However, accurately quantifying the topographic patterns of these water bodies remains challenging due to the difficulties in collecting comprehensive bathymetric data. Therefore, we collected and processed over 2000 bathymetric maps of global water bodies from over 50 different data sources and then developed the BVAH model. Finally, the BVAH hydrological curves of 16671 global inland surface water bodies (larger than 10 km2) were generated. The results include but are not limited to (1) For most targeted water bodies, area (A) and volume (V) exhibit significant power function relationships with surface heights (H), with optimal power values quantified as 1.42 for A and 2.42 for V. (2) The BVAH model outperforms GLOBathy in estimating area and volume changes, achieving higher correlation coefficients (CC) of approximately 0.962 for the area and 0.991 for volume, and demonstrating lower percentages of root mean squared errors (PRMSE) around 10.9% for the area and 4.8% for volume. (3) In the case study of the Xizang Plateau and various large global reservoirs, the BVAH curve database can capture dynamic volume changes. As a unified simulation of the bathymetric topographical patterns, our bathymetric dataset and corresponding BVAH curve database have great potential to contribute to effective water resource management and ecological conservation efforts worldwide.

Keywords