Optimizing the configuration of precipitation stations in a space-ground integrated sensor network based on spatial-temporal coverage maximization

Ke Wang, Qingfeng Guan, Nengcheng Chen, Daoqin Tong, Chuli Hu, Yuling Peng, Xianyong Dong, Chao Yang

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

The two major rainfall observation techniques, ground-based measurements and remote sensing, have distinct coverage characteristics. Large-scale spatial coverage and long-term temporal coverage cannot be achieved simultaneously by using only ground-based precipitation stations or space-borne sensors. Given the temporal discontinuity of satellite coverage and limited ground-based observation resources, we propose a method for siting precipitation stations in conjunction with satellite-based rainfall sensors to maximize the total spatial-temporal coverage of weighted demand in a continuous observation period. Considering the special principles of deploying precipitation stations and the requirement for continuous coverage in space and time, a time-continuous maximal covering location problem (TMCLP) model is introduced. The maximal spatial coverage range of a precipitation station is determined based on the minimum density required and the site-specific terrain conditions. The coverage of a satellite sensor is calculated for each time period when it passes overhead. The polygon intersection point set (PIPS) is refined to identify finite candidate sites. By narrowing the continuous search space to a finite dominating set and discretizing the continuous observation period to sequential sub-periods, the siting problem is solved using the TMCLP model and refined PIPS. According to specific monitoring purposes, different weighting schemes can be used to evaluate the coverage priority of each demand object. The Jinsha River Basin is selected as the study region to test the proposed method. Satellite-borne precipitation radar is used to evaluate the satellite coverage. The results show that the proposed method is effective for precipitation station configuration optimization, and the model solution achieves higher coverage than the real-world deployment. The applicability of the proposed method, site selection criteria, deployment strategies in different observation modes, and the impacts of different weighting schemes are also discussed.

Original languageEnglish (US)
Pages (from-to)625-640
Number of pages16
JournalJournal of Hydrology
Volume548
DOIs
StatePublished - May 1 2017

Keywords

  • Ground-based precipitation station
  • Jinsha River Basin
  • Optimal configuration
  • Space-borne precipitation radar
  • Time-continuous maximal covering location problem

ASJC Scopus subject areas

  • Water Science and Technology

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