Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
  • CiteScore value: 4.94 CiteScore
  • SNIP value: 1.612 SNIP 1.612
  • IPP value: 4.70 IPP 4.70
  • SJR value: 2.134 SJR 2.134
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
    index 107
  • h5-index value: 63 h5-index 63
Discussion papers
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 13 Sep 2019

Submitted as: research article | 13 Sep 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).

Combining analytical solutions of Boussinesq equation with the modified Kozeny–Carman equation for estimation of catchment-scale hydrogeological parameters

Man Gao1,2, Xi Chen1,2, and Jintao Liu3,4 Man Gao et al.
  • 1Institute of Surface-Earth System Science, Tianjin University, Tianjin, China
  • 2Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin, China
  • 3State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China
  • 4Department of College of Hydrology and Water Resources, Hohai University, Nanjing, China

Abstract. Saturated hydraulic conductivity (K), drainable porosity (f), and effective aquifer thickness (D) are essential hydrogeological parameters for hydrologic modelling and predicting. Streamflow recession analysis using analytical solutions of Boussinesq equation can yield estimated values for two of these three hydrogeological parameters when one is known a priori. In this study, we improved the inverse method for parameters estimation by combining the modified Kozeny–Carman equation with analytical solutions of Boussinesq equation to express the three hydrogeological parameters (K, f, and D) in relation to catchment characteristics and recession constants in a sloping aquifer. Here, the three parameters can be estimated simultaneously from streamflow recession analysis. Results of the estimated parameters are compared with the field measurements and the soil-texture based estimations in four small experimental catchments. It shows that our estimated values of these catchment-scale parameters can represent equivalent values in the measured aquifer profiles/sites. In hilly areas, the slope aquifer takes a vital effect on the estimates of K and f. Neglecting the sloping effect can lead to overestimation of K and underestimation of f in 1 ~ 2 orders of magnitude in the study catchments. However, even in the hilly catchments, the estimated aquifer thickness D is much greater than that from measurements on hillslopes while it approaches riparian thickness, indicating that the riparian zone takes a vital role on flow recession and the parameter estimations.

Man Gao et al.
Interactive discussion
Status: open (until 13 Nov 2019)
Status: open (until 13 Nov 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
  • RC1: 'Review', Anonymous Referee #1, 07 Oct 2019 Printer-friendly Version
Man Gao et al.
Man Gao et al.
Total article views: 221 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
176 45 0 221 0 0
  • HTML: 176
  • PDF: 45
  • XML: 0
  • Total: 221
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 13 Sep 2019)
Cumulative views and downloads (calculated since 13 Sep 2019)
Viewed (geographical distribution)  
Total article views: 141 (including HTML, PDF, and XML) Thereof 141 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
No saved metrics found.
No discussed metrics found.
Latest update: 13 Oct 2019
Publications Copernicus