Preprint Article Version 1 NOT YET PEER-REVIEWED

The Suitability of the Satellite Metrological Inputs Source on the Hydrological Model in a Small Urban Catchment

  1. School of Geographic and Oceanographic Science, Nanjing University, Nanjing 210093, China
  2. Zhejiang Huadong Construction Engineering CO.LTD, Hangzhou 310014, China
Version 1 : Received: 12 August 2016 / Approved: 13 August 2016 / Online: 13 August 2016 (04:28:19 CEST)

How to cite: Song, S.; Xu, Y.; Wang, J.; Du, J.; Zhang, J.; Wang, Q. The Suitability of the Satellite Metrological Inputs Source on the Hydrological Model in a Small Urban Catchment. Preprints 2016, 2016080134 (doi: 10.20944/preprints201608.0134.v1). Song, S.; Xu, Y.; Wang, J.; Du, J.; Zhang, J.; Wang, Q. The Suitability of the Satellite Metrological Inputs Source on the Hydrological Model in a Small Urban Catchment. Preprints 2016, 2016080134 (doi: 10.20944/preprints201608.0134.v1).

Abstract

Distributed/semi-distributed models are considered to be sensitive to the spatial resolution of the data input. In this paper, we take a small catchment in high urbanized Yangtze River Delta, Qinhuai catchment as study area, to analyze the impact of spatial resolution of precipitation and the potential evapotranspiration (PET) on the long-term runoff and flood runoff process. The data source includes the TRMM precipitation data, FEWS download PET data, and the interpolated metrological station data. GIS/RS technique was used to collect and pre-process the geographical, precipitation and PET series, which were then served as the input of CREST (Coupled Routing and Excess Storage) model to simulate the runoff process. The results clearly showed that, the CREST model is applicable to the Qinhuai catchment; the spatial resolution of precipitation had strong influence on the modelled runoff results and the metrological precipitation data cannot be substituted by the TRMM data in small catchment; the CREST model was not sensitive to the spatial resolution of the PET data, while the estimation fourmula of the PET data was correlated with the model quality. This paper focused on the small urbanized catchment, suggesting the influential explanatory variables for the model performance, and providing reliable reference for the study in similar area.

Subject Areas

spatial resolution; interpolation method; CREST model; Qinhuai catchment

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