{"id":1013,"date":"2020-04-26T18:23:29","date_gmt":"2020-04-26T22:23:29","guid":{"rendered":"http:\/\/hydrouncertainty.org\/?p=1013"},"modified":"2020-04-26T18:24:46","modified_gmt":"2020-04-26T22:24:46","slug":"latest-publications-on-hydrologic-uncertainty-november-2019","status":"publish","type":"post","link":"http:\/\/hydrouncertainty.org\/2020\/04\/26\/latest-publications-on-hydrologic-uncertainty-november-2019\/","title":{"rendered":"Latest Publications on ‘Hydrologic Uncertainty’ – November 2019"},"content":{"rendered":"\n

Water Resources Research: <\/strong><\/h2>\n\n\n\n
  1. \u00a0Yang, H. J., Boso, F., Tchelepi, H. A., & Tartakovsky, D. M. (2019). Probabilistic forecast of single\u2010phase flow in porous media with uncertain properties.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR026090<\/a> <\/li>
  2. Koppa, A., Gebremichael, M., Zambon, R. C., Yeh, W. W. G., & Hopson, T. (2019). Seasonal Hydropower Planning for Data Scarce Regions Using Multi Model Ensemble Forecasts, Remote Sensing Data, and Stochastic Programming.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025228<\/a> <\/li>
  3. Li, D., Lettenmaier, D. P., Margulis, S. A., & Andreadis, K. (2019). The role of rain\u2010on\u2010snow in flooding over the conterminous United States.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR024950<\/a> <\/li>
  4. D’Oria, M., Maranzoni, A., & Mazzoleni, M. (2019). Probabilistic Assessment of Flood Hazard due to Levee Breaches Using Fragility Functions.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025369<\/a> <\/li>
  5. Ciriello, V., Lauriola, I., & Tartakovsky, D. M. (2018). Distribution\u2010based global sensitivity analysis in hydrology.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025844<\/a> <\/li>
  6. Ancey, C., Bardou, E., Funk, M., Huss, M., Werder, M. A., & Trewhela, T. Hydraulic reconstruction of the 1818 Gitro glacial lake outburst flood.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025274<\/a> <\/li>
  7. Hayek, M., Ramarao, B., & Lavenue, M. (2019). An Adjoint Sensitivity Model for Steady\u2010State Sequentially Coupled Radionuclide Transport in Porous Media.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025686<\/a> <\/li>
  8. Khatami, S., Peel, M. C., Peterson, T. J., & Western, A. W. Flux Mapping: a new approach to evaluating model process representation under uncertainty.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2018WR023750<\/a> <\/li>
  9. Arheimer, B., & Lindstr\u00f6m, G. (2019). Detecting changes in river flow caused by wildfires, storms, urbanization, regulation and climate across Sweden.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR024759<\/a> <\/li>
  10. Gold, D. F., Reed, P. M., Trindade, B. C., & Characklis, G. W. (2019). Identifying Actionable Compromises: Navigating Multi\u2010City Robustness Conflicts to Discover Cooperative Safe Operating Spaces for Regional Water Supply Portfolios.\u00a0Water Resources Research<\/em>. https:\/\/doi.org\/10.1029\/2019WR025462<\/a> <\/li><\/ol>\n\n\n\n

    Environmental Modelling and Software:<\/strong><\/h2>\n\n\n\n
    1.  Wu, X., Marshall, L., & Sharma, A. (2019).\nThe influence of data transformations in simulating Total Suspended Solids\nusing Bayesian inference. Environmental Modelling & Software<\/em>, 121,\n104493. https:\/\/doi.org\/10.1016\/j.envsoft.2019.104493<\/a> <\/li>
    2. Mindham, D. A., & Tych, W. (2019).\nDynamic harmonic regression and irregular sampling; avoiding pre-processing and\nminimising modelling assumptions. Environmental Modelling &\nSoftware<\/em>, 121<\/em>, 104503. https:\/\/doi.org\/10.1016\/j.envsoft.2019.104503<\/a> <\/li>
    3. Panda, S. S., Amatya, D. M., Muwamba,\nA., & Chescheir, G. (2019). Estimation of evapotranspiration and its\nparameters for pine, switchgrass, and intercropping with remotely-sensed images\nbased geospatial modeling. Environmental Modelling & Software<\/em>, 121<\/em>,\n104487. https:\/\/doi.org\/10.1016\/j.envsoft.2019.07.012<\/a> <\/li><\/ol>\n\n\n\n

      Hydrology and Earth System Sciences:<\/strong><\/h2>\n\n\n\n
      1. Yearsley,\nJ. R., Sun, N., Baptiste, M., and Nijssen, B.: Assessing the impacts of\nhydrologic and land use alterations on water temperature in the Farmington\nRiver basin in Connecticut, Hydrol. Earth Syst. Sci., 23, 4491\u20134508, https:\/\/doi.org\/10.5194\/hess-23-4491-2019<\/a>,  2019.<\/li><\/ol>\n\n\n\n

        Journal of\nHydrology:<\/strong><\/strong><\/h2>\n\n\n\n
        1. Srivastava,\nA., Grotjahn, R., Ullrich, P. A., & Risser, M. (2019). A unified approach\nto evaluating precipitation frequency estimates with uncertainty\nquantification: Application to Florida and California watersheds. Journal\nof Hydrology<\/em>, 578, 124095. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124095<\/a> <\/li>
        2. Ren,\nK., Huang, S., Huang, Q., Wang, H., Leng, G., & Wu, Y. (2019). Defining the\nrobust operating rule for multi-purpose water reservoirs under deep uncertainties. Journal\nof Hydrology<\/em>, 578, 124134. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124134<\/a> <\/li>
        3. Ahmadalipour,\nA., & Moradkhani, H. (2019). A data-driven analysis of flash flood hazard,\nfatalities, and damages over the CONUS during 1996\u20132017. Journal of\nHydrology<\/em>, 578<\/em>, 124106. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124106<\/a> <\/li>
        4. Lu,\nH., Kang, Y., Liu, L., & Li, J. (2019). Comprehensive groundwater safety\nassessment under potential shale gas contamination based on integrated analysis\nof reliability\u2013resilience\u2013vulnerability and gas migration index. Journal\nof Hydrology<\/em>, 578<\/em>, 124072. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124072<\/a> <\/li>
        5. Liu,\nZ., & Merwade, V. (2019). Separation and prioritization of uncertainty\nsources in a raster based flood inundation model using hierarchical Bayesian\nmodel averaging. Journal of Hydrology<\/em>, 578<\/em>, 124100. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124100<\/a> <\/li>
        6. Liu,\nJ., Zhou, Z., Yan, Z., Gong, J., Jia, Y., Xu, C. Y., & Wang, H. (2019). A\nnew approach to separating the impacts of climate change and multiple human\nactivities on water cycle processes based on a distributed hydrological\nmodel. Journal of Hydrology<\/em>, 578<\/em>, 124096. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124096<\/a> <\/li>
        7. Kang,\nX., Shi, X., Revil, A., Cao, Z., Li, L., Lan, T., & Wu, J. (2019). Coupled\nhydrogeophysical inversion to identify non-Gaussian hydraulic conductivity\nfield by jointly assimilating geochemical and time-lapse geophysical\ndata. Journal of Hydrology<\/em>, 578<\/em>, 124092. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124092<\/a> <\/li>
        8. Zhuang,\nC., Zhou, Z., Illman, W. A., & Wang, J. (2019). Geostatistical inverse\nmodeling for the characterization of aquitard heterogeneity using long-term\nmulti-extensometer data. Journal of Hydrology<\/em>, 578<\/em>,\n124024. https:\/\/doi.org\/10.1016\/j.jhydrol.2019.124024<\/a> <\/li><\/ol>\n\n\n\n

          Advances in\nWater Resources:<\/strong><\/h2>\n\n\n\n
          1. Lopez-Alvis, J., Hermans, T., & Nguyen, F. (2019). A cross-validation framework to extract data features for reducing structural uncertainty in subsurface heterogeneity.\u00a0Advances in Water Resources<\/em>,\u00a0133<\/em>, 103427. https:\/\/doi.org\/10.1016\/j.advwatres.2019.103427<\/a> <\/li>
          2. Chembolu, V., Kakati, R., & Dutta, S. (2019). A laboratory study of flow characteristics in natural heterogeneous vegetation patches under submerged conditions.\u00a0Advances in Water Resources<\/em>,\u00a0133<\/em>, 103418. https:\/\/doi.org\/10.1016\/j.advwatres.2019.103418<\/a> <\/li>
          3. Gokdemir, C., Rubin, Y., Li, X., Li, Y., & Xu, H. (2019). Vulnerability analysis method of vegetation due to groundwater table drawdown induced by tunnel drainage.\u00a0Advances in Water Resources<\/em>,\u00a0133<\/em>, 103406. https:\/\/doi.org\/10.1016\/j.advwatres.2019.103406<\/a><\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

            Water Resources Research: \u00a0Yang, H. J., Boso, F., Tchelepi, H. A., & Tartakovsky, D. M. (2019). Probabilistic forecast of single\u2010phase flow in porous media with uncertain properties.\u00a0Water Resources Research. https:\/\/doi.org\/10.1029\/2019WR026090 Koppa, A., Gebremichael, M., Zambon, R. C., Yeh, W. W.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[1,13],"tags":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/1013"}],"collection":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/comments?post=1013"}],"version-history":[{"count":2,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/1013\/revisions"}],"predecessor-version":[{"id":1015,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/1013\/revisions\/1015"}],"wp:attachment":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/media?parent=1013"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/categories?post=1013"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/tags?post=1013"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}