期刊文献+

Uncertainty and Sensitivity Analyses of the Simulated Seawater—Freshwater Mixing Zones in Steady-State Coastal Aquifers 被引量:1

Uncertainty and Sensitivity Analyses of the Simulated Seawater—Freshwater Mixing Zones in Steady-State Coastal Aquifers
下载PDF
导出
摘要 The uncertainty and sensitivity of predicted positions and thicknesses of seawater-freshwater mixing zones with respect to uncertainties of saturated hydraulic conductivity, porosity, molecular diffusivity, longitudinal and transverse dispersivities were investigated in both head-control and flux-control inland boundary systems. It shows that uncertainties and sensitivities of predicted results vary in different boundary systems. With the same designed matrix of uncertain factors in simulation experiments, the variance of predicted positions and thickness in the flux-control system is much larger than that predicted in the head-control system. In a head-control system, the most sensitive factors for the predicted position of the mixing zone are inland freshwater head and transverse dispersivity. However, the predicted position of the mixing zone is more sensitive to saturated hydraulic conductivity in a flux-control system. In a head-control system, the most sensitive factors for the predicted thickness of the mixing zone include transverse dispersivity, molecular diffusivity, porosity, and longitudinal dispersivity, but the predicted thickness is more sensitive to the saturated hydraulic conductivity in a flux-control system. These findings improve our understandings for the development of seawater-freshwater mixing zone during seawater intrusion processes, and give technical support for groundwater resource management in coastal aquifers. The uncertainty and sensitivity of predicted positions and thicknesses of seawater-freshwater mixing zones with respect to uncertainties of saturated hydraulic conductivity, porosity, molecular diffusivity, longitudinal and transverse dispersivities were investigated in both head-control and flux-control inland boundary systems. It shows that uncertainties and sensitivities of predicted results vary in different boundary systems. With the same designed matrix of uncertain factors in simulation experiments, the variance of predicted positions and thickness in the flux-control system is much larger than that predicted in the head-control system. In a head-control system, the most sensitive factors for the predicted position of the mixing zone are inland freshwater head and transverse dispersivity. However, the predicted position of the mixing zone is more sensitive to saturated hydraulic conductivity in a flux-control system. In a head-control system, the most sensitive factors for the predicted thickness of the mixing zone include transverse dispersivity, molecular diffusivity, porosity, and longitudinal dispersivity, but the predicted thickness is more sensitive to the saturated hydraulic conductivity in a flux-control system. These findings improve our understandings for the development of seawater-freshwater mixing zone during seawater intrusion processes, and give technical support for groundwater resource management in coastal aquifers.
出处 《China Ocean Engineering》 SCIE EI CSCD 2015年第4期489-502,共14页 中国海洋工程(英文版)
基金 financially supported by the National Natural Science Foundation of China(Grant Nos.51309091,51239003 and 51279045) the Postdoctoral Science Foundation of China(Grant No.2012M520989)
关键词 seawater intrusion mixing zone uncertainty analysis fractional factorial design Morris "s OAT design coastal aquifer seawater intrusion mixing zone uncertainty analysis fractional factorial design Morris "s OAT design coastal aquifer
  • 相关文献

参考文献4

二级参考文献32

  • 1韩乃斌,蒋星科.长江口南北支二维氯度数学模型[J].海洋工程,1996,14(1):48-55. 被引量:5
  • 2李凌,N.Cartwright,P.Nielsen,D.Lockington.Response of Coastal Groundwater Table to Offshore Storms[J].海洋工程:英文版,2004,18(3):423-431. 被引量:2
  • 3贾良文,吴超羽,任杰,雷亚平,周水华.珠江口磨刀门枯季水文特征及河口动力过程[J].水科学进展,2006,17(1):82-88. 被引量:43
  • 4陈水森,方立刚,李宏丽,张立新.珠江口咸潮入侵分析与经验模型——以磨刀门水道为例[J].水科学进展,2007,18(5):751-755. 被引量:45
  • 5Bear, J., and Cheng, A. H. D. 2008. Modeling Groundwater Flow and Contaminant Transport. New York: Springer Verlag.
  • 6Binley, A., Buckley, K., Calore, C., Parodi, U., and La Barbera, E 1997. Modelling uncertainty in estimates of recharge to a shallow coastal aquifer. Hydrological Sciences Journal, 42(2), 155-168.
  • 7Box, G. E. E, Hunter, J. S., and Hunter, W. G. 2005. Statistics for Experimenters. Design, Innovation, and Discovery. New York: Wiley-Interscience.
  • 8Chen, Z., Huang, G. H., and Chakma, A. 2003. Hybrid fuzzy-stochastic modeling approach for assessing environmental risks at contaminated groundwater systems. Journal of Environmental Engineering, 129(1), 79-88. [doi:10.1061/(ASCE)0733-9372(2003)129:l(79)].
  • 9Dagan, G., and Zeitoun, D. G. 1998. Seawater-freshwater interface in a stratified aquifer of random permeability distribution. Journal of Contaminant Hydrology, 29(3), 185-203. [doi:10.1016/S0169- 7722(97)00013-2].
  • 10Dhar, A., and Datta, B. 2009a. Saltwater intrusion management of coastal aquifers, I: Linked simulation- optimization. Journal of Hydrologic Engineering, 14(12), 1263-1272. [doi: 10.1061/(ASCE)HE. 1943- 5584.0000097].

共引文献13

同被引文献13

引证文献1

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部