An interactive web app for retrieval, visualization, and analysis of hydrologic and meteorological time series data. (July 2019)

• Record Type: Journal Article
• Authors: Brendel, Conrad E.; Dymond, Randel L.; Aguilar, Marcus F.
• Is Part Of: Environmental modelling & software. Volume 117(2019)
• Page Start: 14
• Page End: 28
• Publication Date: 2019-07
• Subjects: Hydrologic monitoring -- Smart watershed -- Environmental observations -- Data visualization -- Data analysis; ARI annual recurrence interval -- CMB conductivity mass balance; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2019.03.003
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: As wireless sensor networks become more prevalent tools for analyzing watershed dynamics, the integration and management of the myriad of available data streams presents a unique challenge. Web-based platforms provide tools to retrieve and visualize hydrologic and meteorologic data from various sources while addressing syntactic and semantic differences in data formats. However, current platforms are limited by a lack of data analysis tools. The Stream Hydrology And Rainfall Knowledge System (SHARKS) app was developed to expand upon existing platforms by providing a suite of exploratory data analysis features including the ability to calculate the total precipitation depth recorded for any period, interpolate the average annual recurrence interval for precipitation events, perform hydrograph separations, and calculate the volume of runoff for any period. A case study provides a conceptual description of the types of rapid analysis that can be performed using the SHARKS app. Highlights: Web app synthesizes data from government, commercial, and local sources. Web app integrates data retrieval, visualization, and analysis tools. Rapid analyses provide valuable insights to watershed hydrologic processes. App structure permits implementation in other locations.