WebGIS development for base flow separation and recharge estimation





Separation of the Base Flow, WebGIS, Base flow, Water recharge


The basic flow rate is characterized by an important hydrological component being responsible for the estimation of the water recharge. Due to the difficulty of measurement, mathematical methods are used to calculate the flow separation. However, when hydrographic analysis is based on long historical series, the use of these methods becomes impracticable, making it necessary to use computational resources. A WebGIS (Web Geographical Information System) was developed for data selection and calculation of base flow separation, based on hydrological data from fluviometric stations located in the Taquari-Antas basin, located in the state of Rio Grande do Sul. A modified version of the Unified Process was used as a software development methodology. We used the MVC software architecture standard and the programming languages PHP 7.0, HTML5, JS and CSS3 for programmatic development of the constituent layers of the system. The hydrological data comes from the HIDROWEB portal, part of the National Information System on Water Resources (SNIRH), with hydrological information collected by the National Hydrometeorological Network (RHN) coordinated by the National Water Agency (ANA). The system facilitates the use of remote and distributed hydrological data, shared over the Internet, for various hydrological analyzes.


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WINTER, T. et al. Ground water and surface water; a single resource. US Geological Survey, n. 1139, 1998.

CHOW, V. T. Applied Hydrology. New York (NY): McGraw-Hill, 1988. 585 p.

ARNOLD, J. et al. Automated base flow separation and recession analysis techniques. Ground Water, v. 33, n. 6, p. 1010–1018, 1995.

ARNOLD, J.; ALLEN, P. Validation of automated methods for estimating baseflow and groundwater recharge from stream flow records. Journal of the American Water Resources Association, v. 35, n. 6, p. 411–424, 1999.

SLOTO, R.; CROUSE, M. Hysep: A computer program for stream flow hydrograph separation and analysis. U.S. Geological Survey, Reston, Virginia (VA), p. 3994–4040, 1996.

LIM, K. J. et al. Automated web GIS based hydrograph analysis tool, WHAT. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, v. 41, n. 6, p. 1407–1416, 2005.

ECKHARDT, K. How to construct recursive digital filters for baseflow separation. HYDROLOGICAL PROCESSES, v. 19, n. 2, p. 507–515, 2005.

NATHAN, R.; MCMAHON. Evaluation of automated techniques for base flow and recession analyses. Water Resources Research, v. 26, n. 7, p. 1465–1473, 1990.

LYNE, V.; HOLLICK, M. Stochastic time-variable rainfall-runoff modelling. Institution of Engineers, Canberra, Australia, p. 89–93, 1979.

RUTLEDGE, A.; MESKO. Estimated hydrologic characteristics of shallow aquifer systems in the valley and Ridge, the Blue Ridge, and the Piedmont physiographic provinces based on analysis of streamflow recession and base flow. U.S. Geological Survey, USA, p. 1–58, 1996.

CHAPMAN, T. A comparison of algorithms for stream flow recession and base flow separation. Hydrological Processes, v. 13, n. 5, p. 701–714, 1999.

LARMAN, C. Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development. Upper Saddle River (NJ): Prentice Hall, 2005.

SOMMERVILLE, I. Software Engeneering. 8. ed. [S.l.]: Pearson Addison Wesley, 2007.

FOROUZAN, B. A. Data Communications and Networking. New York (NY): McGraw-Hill, 2007.

HASAN, S. S.; ISAAC, R. K. (Ed.). An integrated approach of MAS-CommonKADS, Model–View–Controller and web application optimization strategies for web-based expert system development. 1. ed. [S.l.]: Elsevier BV, 2011. v. 38.

PHP. PHP: Hypertext Preprocessor. 1995. Accessed: February 03, 2019. Disponível em: http://php.net/.

SMARTY. Chapter 1. What is Smarty? Part I. Getting Started. 2010. Accessed: February 03, 2019. Disponível em: https://www.smarty.net/docs/en/what.is.smarty.tpl.

BOOTSTRAP. Bootstrap. 2013. Accessed: February 03, 2019. Disponível em: https://getbootstrap.com/.

MURRAY, S. Interactive Data Visualization for the Web. 1. ed. Sebastopol (CA): O’Reilly Media, Inc., 2013.

OPENLAYERS. Basic Concepts. 2006. Accessed: February 03, 2019. Disponível em: https://openlayers.org/en/latest/doc/tutorials/concepts.html.

ERMASTER. What is ERMaster?. 2013. Accessed: February 03, 2019. Disponível em: http://ermaster.sourceforge.net/.

DEBASTIANI, C. A. Definindo Escopo em Projetos de Software. São Paulo (SP): Novatec, 2015.

POSTGRESQL. What is PostgreSQL?. 1999. Accessed: February 03, 2019. Disponível em: https://www.postgresql.org/about/.

SCHACH, S. R. Object-Oriented Classical Software Engineering. 7. ed. New York (NY): McGraw-Hill, 2007.

HIDROWEB - Sistema de Informações Hidrológicas. Accessed: May 23, 2019. Disponível em: http://www.snirh.gov.br/hidroweb/publico/mapa_hidroweb.jsf.

ELMASRI, R.; NAVATHE, S. B. Fundamentals of Database Systems. 8. ed. [S.l.]: Addison-Wesley, 2011.

CEMADEN. Mapa Interativo da Rede Observacional para Monitoramento de Risco de Desastres Naturais. Accessed: May 23, 2019. Disponível em: http://www.cemaden.gov.br/mapainterativo/.

SIOUT - Sistema de Outorga de Água do Rio Grande do Sul. Accessed: May 23, 2019. Disponível em: http://www.siout.rs.gov.br/sig/.

CABRAL, S. L. et al. HYDROLOGIC AND HYDRAULIC MODELLING INTEGRATED WITH GIS: A STUDY OF THE ACARAÚ RIVER BASIN – CE. Journal of Urban and Environmental Engineering, João Pessoa (PB), v. 8, n. 2, p. 167–174, 2015.

PRESSMAN, R. S. Engenharia de Software. 6. ed. São Paulo (SP): McGraw Hill/Nacional, 2006.

TSIHRINTZIS, V. A.; HAMID, R.; FUENTES, H. R. Use of geographic information systems (gis) in water resources: A review. Water Resources Management, v. 10, n. 4, p. 251–277, Aug 1996. Disponível em: https://doi.org/10.1007/BF00508896.

KAMBLE, B. D. Hydrological Information System: Integrated System for Modeling, Simulation, Analysis, and Distribution of Climate and Hydrology Data. Tese (Doutorado), Lincoln, NB, USA, 2012. AAI3504937.

CHEN, D.; WANG, W.; YANG, H. Application research on data warehouse of hydrological data comprehensive analysis. In: 2010 3rd International Conference on Computer Science and Information Technology. [S.l.: s.n.], 2010. v. 9, p. 140–143.

PICK, J. B. Data warehouses and gis. In: . Encyclopedia of GIS. Cham: Springer International Publishing, 2017. p. 445–452. Disponível em: https://doi.org/10.1007/978-3-319-17885-1_254.




How to Cite

Bortolin, T. A., dos Santos, L. M., da Silva, A. G., & Schneider, V. E. (2020). WebGIS development for base flow separation and recharge estimation. Revista De Informática Teórica E Aplicada, 27(3), 62–71. https://doi.org/10.22456/2175-2745.94235



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