the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatial and morphometric analysis of a comprehensive dataset of loess sinkholes from a small basin in the Chinese Loess Plateau
Abstract. From the perspective of the world, the basic mapping and investigation of the loess sinkhole is far less extensive and in-depth than that of the karst sinkhole survey. To some extent, this hinders people’s understanding of the morphological characteristics, development rules, and formation mechanisms of the loess sinkholes. Chinese Loess Plateau (CLP) has the most typical loess landform in the world, and tens of thousands of loess sinkholes have developed. However, due to the lack of high-precision and high-resolution survey data, the identification, characterization, and quantification of sinkholes in the Loess Plateau are basically blank, which seriously hinders the in-depth study of loess sinkholes. We investigated a typical watershed on the Chinese Loess Plateau using photogrammetry, airborne laser scanning, and handheld laser scanner. Based on previous studies, this paper proposes indices and methods for the morphological quantification of loess sinkholes and constructs the first dataset of loess sinkhole morphology containing 1194 records at the basin scale. On this basis, we completed the spatial mapping of loess sinkholes, analysis of distribution patterns, morphological analysis, size-frequency analysis, fitting analysis of different parameters, estimation of subsurface soil erosion, in-depth investigation of typical sinkholes, and quantification of the contributions of different factors to sinkhole development. These efforts provide rich information for a deeper understanding of the morphological characteristics and causes of loess sinkholes and offer data support for comparative studies with sinkholes in other regions. More critically, we preliminarily assessed that the subsurface soil erosion triggered by sinkholes in the study area amounts to as high as 345,000 metric tons. This finding makes it increasingly clear that loess sinkholes are not only a geological disaster process but also a serious soil loss process, highlighting their undeniable significance in regional soil erosion studies and laying a solid foundation for subsequent research and disaster prevention efforts. Moreover, we believe that the integration of airborne laser scanning and handheld laser scanning may represent a new trend in the detailed investigation of sinkholes in the future. The dataset is available from Zenodo platform (https://doi.org/10.5281/zenodo.14000267).
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Status: open (until 05 Mar 2026)
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RC1: 'Comment on essd-2025-644', Anonymous Referee #1, 23 Feb 2026
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AC1: 'Reply on RC1', Sheng Hu, 26 Feb 2026
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We are deeply grateful for your recognition of our research on loess sinkholes on the Chinese Loess Plateau, which makes us feel extremely honored and proud. Your positive comments have given us confidence to continue conducting research at larger scales and deeper levels in the future. Meanwhile, we will also carefully revise and improve the manuscript according to the comments from other reviewers and editors. Thank you once again for the time you have spent reviewing this paper with great patience, as well as your fair and well-intentioned suggestions!
Citation: https://doi.org/10.5194/essd-2025-644-AC1
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AC1: 'Reply on RC1', Sheng Hu, 26 Feb 2026
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RC2: 'Comment on essd-2025-644', Christian Sommer, 24 Feb 2026
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# General comments
The paper describes a comprehensive survey of sinkholes in a catchment of the Chinese Loess Plateau using UAV- and handheld LiDAR-based remote sensing. The authors report statistics on sinkhole characteristics and examine spatial statistical relationships between topographic and geomorphological factors on the one hand, and the occurrence of sinkholes on the other. The three-dimensional measurement of sinkhole volumes allows for much more accurate estimates of soil loss than simplified geometric methods. The research objective is clearly defined, the methodology is appropriate, and the results are reproducible. The figures are generally informative and well-designed, aside from minor errors (see below). Results and discussion expand the knowledge of sinkholes in loess deposits, and open sharing of the collected field data allows for scientific reuse. The submitted data is complete and supplied in accessible formats.# Specific comments
The percentages reported in the "Results" section do not seem to add up. Most are correctly calculated based on a denominator of 1,194, while others appear to refer to a denominator of approximately 809. I have listed a few examples below, but I recommend that all values be carefully checked again.
l 520f: The authors state that the piping developed at a former footslope position, which implies it formed on the elevation of the then-active main channel. Subsequently, the channel incised as a result of uplift, such that the sinkhole is now situated at an elevation of approximately 8 m above the present channel level. I am surprised, however, that the massive landslide on the opposite slope is not considered in this interpretation. As illustrated in Fig. 14a, the toe of the landslide is being undercut, indicating that the river continues to erode its deposits. Progressive reworking of the landslide-derived valley fill, and the associated temporary damming of the channel, could also account for the backflood deposits within the pipe (l. 535) as well as the stratified flood deposits observed on the fluvial terrace (l. 529). This implies a much younger age of the piping and sinkhole formation than the one suggested by valley incission.
l 589–622: The authors describe covincingly the influence of gullies and landslides on sink holes and piping. I suggest adding, that this relationship is not unidirectional, but the results of interconnected processes and overlapping external influence factors (e.g. loess thickness, landscape position, surface and subsurface flow, impermeable base layers, etc.).
l 774: The conclusion section refers to "hazard curves incorporating the time dimension (ie., timing of sinkhole occurrence)". However, this doesn't seem to be subject of the manuscript presented.# Technical corrections
l 153: Clear object missing in "will make available"
l 193: Figure 2b caption: The 3D view behind the QR Code is very helpful. Consider adding the URL directly to the figure captions. Also consider english translations.
l 193: Figure 2c legend: "Quingshuiying group (Paleogene/EOGENE)" seems to be a typo, please use ICS terminology. Do you mean the 'N'eogene (system) or Eo'c'ene (series)?
l 193: Figure 2d: Lithology "Neocene" -> Neogene
l 213f: Add software version numbers
l 222: Figure 4 says "Artificial extraction of sinkhole polygons". Did you mean "Manual", as stated in l 215?
l 229: Which lidar detection mode (linear, geiger, etc.) does this scanner provide? URL is inconclusive.
l 237: Add version number
l 262: Add version number
l 267: "Slop" -> slope
l 293: delete "some"
l 359ff: The absolute and relative numbers add up to 545+216+28=809 instead of 1194 sinkholes in total. Where's the rest?
l 338: "un" -> in
l 402: cartographic -> spatial
l 410f: The relative numbers don't add up to 1194. 382/1194 is 32% (not 47%); 58/1194 is 5% (not 7%).
l 415: 428/1194 is 36% (not 53%)
l 424: 569/1194 is 48% (not 70%)
l 426: 240/1194 is 20% (not 30%)
l 541: "root systems, AND human activity"
l 729: delete duplicate hyphen
l 825: "Brlmo" -> BrunoCitation: https://doi.org/10.5194/essd-2025-644-RC2 -
AC2: 'Reply on RC2', Sheng Hu, 26 Feb 2026
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Our response is included in the supplementary material. Please download them and review them. Thank you!
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AC2: 'Reply on RC2', Sheng Hu, 26 Feb 2026
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Data sets
A morphological dataset of loess sinkholes from a small basin in the Chinese Loess Plateau Sheng Hu et al. https://doi.org/10.5281/zenodo.14000267
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This is a well-conceptualised and thoroughly documented study that adds to our knowledge of the occurrence of loess funnels on the Chinese Loess Plateau. The authors conducted field research using UAVs (photogrammetry and aerial laser scanning) and handheld laser scanning to inventory and quantitatively estimate the occurrence of loess sinkholes in a typical loess catchment. The authors proposed indicators and methods for the morphological quantification of loess sinkholes and compiled a dataset containing 1,194 records at the catchment scale. They analyzed the spatial distribution of loess sinkholes in the catchment area and identified spatial patterns, performed a morphological analysis, and analyzed the fit of morphometric parameters. They also estimated subsurface soil erosion and quantified the impact of various factors on the formation of loess sinkholes. The article thus provides a better understanding of the causes and mechanisms of loess sinkhole formation. The structure of the manuscript is correct, the concept and purpose of the study are clearly defined, and the methodology is correctly selected and well described. The results and discussion introduce new knowledge, and the conclusions accurately reflect the achievements of this study.