• Geographical Research
  • Vol. 39, Issue 6, 1255 (2020)
Hui GU, Guoping TANG*, and Tao JIANG
Author Affiliations
  • School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
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    DOI: 10.11821/dlyj020190470 Cite this Article
    Hui GU, Guoping TANG, Tao JIANG. Effects of spatial resolution of model-driving data on simulating land-surface eco-hydrological processes[J]. Geographical Research, 2020, 39(6): 1255 Copy Citation Text show less

    Abstract

    This study used CHESS (The Coupled Hydrology and Ecology Simulation System) to explore (1) how the model's parametrization scenarios affect model simulation driven by forcing data of different spatial resolutions; (ii) how the spatial resolutions of model-forcing data affect model results; and (iii) how the selection of drainage area threshold affects model simulations. Eight sets of driving data of different spatial resolutions, two independent parameterization schemes A and B as well as nine sets of drainage area thresholds are developed in this study for analyses. As for the parameterization scenarios, the scheme A/B first parameterizes the model based on high-resolution/low-resolution forcing data. Then, the parameterization results are applied to simulations driven by low-resolution/high-resolution data. Based on the results from the parameterization scenario B, the effects of spatial resolution of model driving data on simulated land-surface eco-hydrological processes are investigated. Our results indicate that the simulated eco-hydrological variables between schemes A and B are strongly correlated and their differences are minimal. This indicates that the model's parameterization is not sensitive to the resolutions of model driving data. Additionally, the resolution of model driving data has little effect on the land cover and soil types but it greatly affects the elevation and slope of the study catchment. With the decrease in spatial resolution of model driving data, the elevation and slope of the catchment decrease, the micro terrains suffer from loss, and the terrain becomes flatter. Through the statistical analysis of simulated eco-hydrological variables, we found that the mean value of simulated runoff decreases, the peak value increases, and the value of ecological variable increases with the decrease in the resolution of the driving data. Besides, there is no significant interaction between the resolution of driving data and the selection of drainage area thresholds. With the increase in drainage area threshold, the mean and peak values of runoff decrease and so do the magnitudes of modeled ecological variables. Nevertheless, the selection of drainage area thresholds does not affect the peak time of runoff.
    Hui GU, Guoping TANG, Tao JIANG. Effects of spatial resolution of model-driving data on simulating land-surface eco-hydrological processes[J]. Geographical Research, 2020, 39(6): 1255
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