Interpretación del campo de flujo transversal en la margen de un río basado en un método de algoritmo genético bidimensional de transporte de calor (GA-VS2DH)

Translated title of the contribution: Interpreting the cross-sectional flow field in a river bank based on a genetic-algorithm two-dimensional heat-transport method (GA-VS2DH)

Xiaoru Su, Longcang Shu, Xunhong Chen, Chengpeng Lu, Zhonghui Wen

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Interactions between surface waters and groundwater are of great significance for evaluating water resources and protecting ecosystem health. Heat as a tracer method is widely used in determination of the interactive exchange with high precision, low cost and great convenience. The flow in a river-bank cross-section occurs in vertical and lateral directions. In order to depict the flow path and its spatial distribution in bank areas, a genetic algorithm (GA) two-dimensional (2-D) heat-transport nested-loop method for variably saturated sediments, GA-VS2DH, was developed based on Microsoft Visual Basic 6.0. VS2DH was applied to model a 2-D bank-water flow field and GA was used to calibrate the model automatically by minimizing the difference between observed and simulated temperatures in bank areas. A hypothetical model was developed to assess the reliability of GA-VS2DH in inverse modeling in a river-bank system. Some benchmark tests were conducted to recognize the capability of GA-VS2DH. The results indicated that the simulated seepage velocity and parameters associated with GA-VS2DH were acceptable and reliable. Then GA-VS2DH was applied to two field sites in China with different sedimentary materials, to verify the reliability of the method. GA-VS2DH could be applied in interpreting the cross-sectional 2-D water flow field. The estimates of horizontal hydraulic conductivity at the Dawen River and Qinhuai River sites are 1.317 and 0.015 m/day, which correspond to sand and clay sediment in the two sites, respectively.

Original languageSpanish
Pages (from-to)2035-2047
Number of pages13
JournalHydrogeology Journal
Volume24
Issue number8
DOIs
StatePublished - Dec 1 2016

Fingerprint

river bank
genetic algorithm
flow field
water flow
method
ecosystem health
river
sediment
seepage
hydraulic conductivity
cross section
tracer
water resource
spatial distribution
surface water
clay
sand
groundwater
cost

Keywords

  • Flow field
  • GA-VS2DH
  • Groundwater/surface-water relations
  • Inverse modeling
  • River bank

ASJC Scopus subject areas

  • Water Science and Technology
  • Earth and Planetary Sciences (miscellaneous)

Cite this

Interpretación del campo de flujo transversal en la margen de un río basado en un método de algoritmo genético bidimensional de transporte de calor (GA-VS2DH). / Su, Xiaoru; Shu, Longcang; Chen, Xunhong; Lu, Chengpeng; Wen, Zhonghui.

In: Hydrogeology Journal, Vol. 24, No. 8, 01.12.2016, p. 2035-2047.

Research output: Contribution to journalArticle

Su, Xiaoru ; Shu, Longcang ; Chen, Xunhong ; Lu, Chengpeng ; Wen, Zhonghui. / Interpretación del campo de flujo transversal en la margen de un río basado en un método de algoritmo genético bidimensional de transporte de calor (GA-VS2DH). In: Hydrogeology Journal. 2016 ; Vol. 24, No. 8. pp. 2035-2047.
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