Spatial-Temporal Evaluation of Rain-Fauge Network Based on Entropy Theory

8 pages•Published: September 20, 2018

Wenqi Wang, Dong Wang, Vijay P. Singh and Yuankun Wang

Abstract

Ground-based rain-gauge stations are the most direct sources of precipitation data. The evaluation of rain-gauge network is essential and important for water management. One of the most popular methods for design of hydrometric network including rain- gauge network is information theory. Entropy concepts from information theory has been widely adopted and applied in rain-gauge network design. In this paper, spatial- temporal evaluation of rain-gauge network located in Shanghai, China will be performed based on entropy theory. The transinformation-distance (T-D) spatial model is applied under three different sampling frequencies. Weekly precipitation data fits the T-D model best. In addition, the representative network is evaluated to be suitable according to the result.

Keyphrases: entropy, rain gauge network evaluation, spatial temporal pattern, t d model

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2293-2300.

Links:	https://easychair.org/publications/paper/ggbf
	https://doi.org/10.29007/1kc9

BibTeX entry

@inproceedings{HIC2018:Spatial_Temporal_Evaluation_Rain,
  author    = {Wenqi Wang and Dong Wang and Vijay P. Singh and Yuankun Wang},
  title     = {Spatial-Temporal Evaluation of Rain-Fauge Network Based on Entropy Theory},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/ggbf},
  doi       = {10.29007/1kc9},
  pages     = {2293-2300},
  year      = {2018}}

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