the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A novel framework for accurately quantifying wetland depression water storage capacity with coarse-resolution terrain data
Abstract. Accurate quantification of wetland depression water storage capacity (WDWSC) is imperative for comprehending the wetland hydrological regulation functions to support integrated water resources management. Considering the challenges posed by the high acquisition cost of high-resolution LiDAR DEM or the absence of field measurements for most wetland areas, urgent attention is required to develop an accurate estimation framework for WDWSC using open-source, low-cost, multi-source remote sensing data. In response, we developed a novel framework, WetlandSCB, utilizing coarse-resolution terrain data for accurate estimation of WDWSC. This framework overcame several technical difficulties, including biases in above-water topography, incompleteness and inaccuracy of wetland depression identification, and the absence of bathymetry. Validation and application of the framework were conducted in two national nature reserves of northeast China. The study demonstrated that integrating priority-flood algorithm, morphological operators and prior information can accurately delineate the wetland depression distribution with overall accuracy and Kappa coefficient both exceeding 0.95. The use of water occurrence map can effectively correct numerical biases in above-water topography with Pearson coefficient and R2 increasing by 0.33 and 0.38 respectively. Coupling spatial prediction and modeling with remote sensing techniques yielded highly accurate bathymetry estimates, with <3 % relative error compared to filed measurements. Overall, the WetlandSCB framework achieved estimation of WDWSC with <10 % relative error compared to field topographic and bathymetric measurements. The framework and its concept are transferable to other wetland areas globally where field measurements and/or high-resolution terrain data are unavailable, contributing to a major technical advancement in estimating WDWSC in river basins.
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RC1: 'Comment on hess-2024-71', Anonymous Referee #1, 20 Jun 2024
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This manuscript titled “A novel framework for accurately quantifying wetland depression water storage capacity with coarse-resolution terrain data” by Hu et al. presents a new framework towards better quantification of wetland depression water storage capacity, a critical component contributing to wetland hydrology. This proposed framework is capable to infer wetland water storage capacity with high accuracy and its statistical distribution from multisource information, including satellite data, historical maps, and prior knowledge. From my perspective, the research issue that this manuscript is targeting is interesting and requires urgent attention; moreover, the proposed framework can bring expertise to address this research question. Whereas I found a little difficult to follow in certain parts, where I think the authors need to further revise before the manuscript is ready to publish.
Firstly, I feel some disconnection between identified research questions and the proposed method. In line 207, the authors mention removing outliers from underwater area-level pairs. The concept of underwater area-level pairs seems to come to a sudden without much preparation. I’m confused about how do the authors obtain the underwater area-level pairs, from existing approaches like spatial prediction and remote sensing as reviewed in lines 88-117, or from some author-developed methods? If they come from existing approaches, wouldn’t it be a conflict since the authors just identified critical shortcomings to address in the review paragraph (lines 88-117)? Or if these area-level pairs are obtained from some approach developed by the authors, the method should be mentioned and details should be provided, either in the manuscript or supplemental material.
Another major comment is related to the discussion of the application of this proposed framework for integrated water resources management (Section 4.4). I agree that the wetland depressions are largely disregarded in hydrological models and that this proposed framework could bring possible improvements towards hydrological and water resources simulations, but by what means? The entire section is focused on the application and implication, but other than describing how it is important to account for wetland depression and the potential improvement it can bring, the authors do not depict a picture on how to fit the proposed framework into hydrological modeling and water resources management. To make the proposed framework more accessible to its potential clients (or to better sell the framework to hydrological modeling community), I suggest adding languages on how-to for the application part. If the authors have yet had a specific way for the application, it would also help by just providing general procedures. Additionally, a flowchart showing the application way will also be more than helpful.
Below are my minor comments:
[Line 75-76] The reviewer thinks it necessary to provide citations to support this claim.
[Line 207] A typo in “are-level pairs”.
Citation: https://doi.org/10.5194/hess-2024-71-RC1
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