HI publications

Please find below the list of publications of the Hydroinformatics Chair Group from 2014 to 2020.

 

Dimitri Solomatine

S. Jiang, Y. Zheng, D.P. Solomatine (2020). Improving AI system awareness of geoscience knowledge: Symbiotic integration of physical approaches and deep learning. Geophysical Res. Letters, 47(13), e2020GL088229. https://doi.org/10.1029/2020GL088229.

Laverde-Barajas M., Corzo Perez G.A., Chishtie F., Poortinga A., Uijlenhoet R., Solomatine D.P. (2020). Decomposing satellite-based rainfall errors in flood estimation: Hydrological responses using a spatiotemporal object-based verification method. Journal of Hydrology, 591, 125554, https://doi.org/10.1016/j.jhydrol.2020.125554.

Laverde-Barajas, M.; Corzo, G.A.; Poortinga, A.; Chishtie, F.; Meechaiya, C.; Jayasinghe, S.; Towashiraporn, P.; Markert, A.; Saah, D.; Son, L.H.; Khem, S.; Boonya-Aroonnet, S.; Chaowiwat, W.; Uijlenhoet, R.; Solomatine, D.P. (2020). ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite. Remote Sensing, 12(21), 3538, https://doi.org/10.3390/rs12213538.

Diaz, V., Corzo Perez, G. A., Van Lanen, H. A. J., Solomatine, D., and Varouchakis, E. A. (2020). An approach to characterise spatio-temporal drought dynamics. Advances in Water Resources. 137, 103512, https://doi.org/10.1016/j.advwatres.2020.103512.

Amaranto A., Solomatine D.P., Corzo G. (2019). A Spatially Enhanced Data-Driven Multimodel to Improve Semi seasonal Groundwater Forecasts in the High Plains Aquifer, USA. Water Resources Research 55(7), 5941-5961, https://doi.org/10.1029/2018WR024301.

Mazzoleni M., Amaranto A., and Solomatine D.P., (2019) Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model, Water Resources Research 55(7), 6088–6108, https://doi.org/10.1029/2018WR023768.

Marquez-Calvo O. and Solomatine D.P. (2019). Approach to robust multi-objective optimization and probabilistic analysis: the ROPAR algorithm. J Hydroinformatics, 21(3), 427-440, https://doi.org/10.2166/hydro.2019.095.

Ahmadi A., Nasseri M., and Solomatine D.P. (2019). Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network. Hydrol Sci J., 64(9), 1080-1094, https://doi.org/10.1080/02626667.2019.1610565.

Quintiliani C., Marquez-Calvo O., Alfonso L., Di Cristo C., Leopardi A., Solomatine D.P., de Marinis G. (2019). Multi-objective valve management optimization formulations for water quality enhancement in WDNs. J of Water Resources Planning and Management, 145 (12), https://doi.org/10.1061/(ASCE)WR.1943-5452.0001133.

Venturini, A.B., Assumpcao, T.H., Popescu, I., Jonoski, A. and Solomatine, D.P. (2019). Modelling support to citizen observatories for strategic Danube Delta planning: Sontea-Fortuna case study. J of Environmental Planning and Management, 62(11), 1972-1989, https://doi.org/10.1080/09640568.2018.1523787.

Diaz, V., Corzo Perez, G. A., Van Lanen, H. A. J., Solomatine, D., and Varouchakis, E. A. (2019). Characterisation of the dynamics of past droughts. Science of The Total Environment, 134588. https://doi.org/10.1016/j.scitotenv.2019.134588.

Wang, A., Solomatine, D.P. (2019). Practical experience of sensitivity analysis: Comparing six methods, on three hydrological models, with three performance criteria. Water 11(5).

S.V. Lund, N., Madsen, H., Mazzoleni, M., Solomatine, D., Borup, M. (2019). Assimilating flow and level data into an urban drainage surrogate model for forecasting flows and overflows. J of Environmental Management, 248, 109052, https://doi.org/10.1016/j.jenvman.2019.05.110.

Bhattacharya, B., Suman, A., and Solomatine, D. (2019). Developing flood index from past flood hydrographs and using it as a tool to characterise flood severity. Environmental Engineering and Management, 18(5).

N. Mastrantonas, B. Bhattacharya, Y. Shibuo, M. Rasmy, G. Espinoza-Davalos, D. Solomatine (2019). Evaluating the benefits of merging Near Real-Time Satellite Precipitation Products: A Case Study in Kinu Basin, Japan. J of Hydrometeorology, 1213-1233, https://doi.org/10.1175/jhm-d-18-0190.1.

Quintiliani C., Marquez-Calvo O., Alfonso L., Di Cristo C., Leopardi A., Solomatine D.P., de Marinis G. (2018). Robust optimization of valve management to improve water quality in WDNs under demand uncertainty. Urban Water Journal, 15 (10), 943-952, https://doi.org/10.1080/1573062X.2019.1595673.

Mazzoleni M., Cortes Arevalo V.J., Wehn U., Alfonso L., and Solomatine D.P. (2018) Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy), Hydrol. Earth Syst. Sci., 22, 391-416, 2018. https://doi.org/10.5194/hess-22-391-2018.

Gelfan A., Moreydo V., Motovilov Y., and Solomatine D.P. Long-term ensemble forecast of snowmelt inflow into the Cheboksary Reservoir under two different weather scenarios. Hydrol. Earth Syst. Sci., 22, 2073-2089, 2018. https://doi.org/10.5194/hess-22-2073-2018.

Mazzoleni M., Chacon-Hurtado J., Noh S.J., Seo D.J., Alfonso L., and Solomatine D.P. (2018) Data assimilation in hydrologic routing: impact of sensor placement on flood prediction, J of Hydrological Engineering, 23(6), https://doi.org/10.1061/(ASCE)HE.1943-5584.0001656.

Mazzoleni M., Noh S.J., Lee H., Liu Y., Seo D.J., Amaranto, A., Alfonso, L., and Solomatine D.P. (2018) Real-time assimilation of streamflow observations into a hydrologic routing model: Effects of different model structures and updating methods, Hydrological Sci J, 1-22, https://doi.org/10.1080/02626667.2018.1430898.

Amaranto, A., Munoz-Arriola, F., Corzo, G., Solomatine, D. P., & Meyer, G. (2018). Semi-seasonal groundwater forecast using multiple data-driven models in an irrigated cropland. J of Hydroinformatics, 20(6), 1227-1246.

Uribe, N., Corzo, G., Quintero, M., van Griensven, A., & Solomatine, D. (2018). Impact of conservation tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed, Colombia. Agricultural Water Management, 209, 62-72.

Zheng, F, Tao, R., Maier, H.R., See, L., Savic,D., Zhang, T., Chen, Q., Assumpcao, T.H., Yang, P., Heidari, B., Rieckermann, J., Minsker, B., Bi, W., Cai, X., Solomatine, D., Popescu, I. (2018) Crowdsourcing methods for data collection in geophysics: State of the art, issues, and future directions. Reviews of Geophysics, 56, https://doi.org/10.1029/2018RG000616.

Assumpcao, T. H., Popescu, I., Jonoski, A., and Solomatine, D. P., (2018) Citizen observations contributing to flood modelling: opportunities and challenges, Hydrol. Earth Syst. Sci., 22 (2), 1473-1489, https://doi.org/10.5194/hess-22-1473-2018

Mazzoleni, M., Chacon-Hurtado, J. C., Noh, S. J., Seo, D. J., Alfonso, L., Solomatine, D. 2018. Data assimilation in hydrologic routing: impact of model error and sensor placement on flood forecasting. J of Hydrologic Engineering. http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001656.

Mazzoleni, M., Cortes Arevalo, V. J., Wehn, U., Alfonso, L., Norbiato, D., Monego, M., Ferri, M., and Solomatine, D. P.: Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy), Hydrol. Earth Syst. Sci., 22, 391-416, https://doi.org/10.5194/hess-22-391-2018, 2018.

Mazzoleni, M., Noh, S. J., Lee, H., Liu, Y., Seo, D. J., Amaranto, A., Solomatine, D. P. (2018). Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods. Hydrological Sciences J, 63(3), 386-407.

Mazzoleni, M., Chacon-Hurtado, J., Noh, S. J., Seo, D. J., Alfonso, L., & Solomatine, D. (2018). Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting. J of Hydrologic Engineering, 23(6), 04018018.

Laverde-Barajas, M., Corzo Perez, G. A., Dalfre Filho, J. G., & Solomatine, D. P. (2018). Assessing the performance of near real-time rainfall products to represent spatiotemporal characteristics of extreme events: case study of a subtropical catchment in south-eastern Brazil. Int. J of Remote Sensing, 39(21), 7568-7586.

Mazzoleni, M., Verlaan, M., Alfonso, L., Monego, M., Norbiato, D., Ferri, M., and Solomatine, D. P. (2017). Can assimilation of crowdsourced streamflow observations in hydrological modelling improve flood prediction? Hydrol. Earth Syst. Sci. 21, 839–861, https://doi.org/10.5194/hess-21-839-2017.

Mazzoleni M., Cortes Arevalo V.J., Wehn U., Alfonso L., and Solomatine D.P. (2017) Assimilation of crowdsourced observations into a cascade of hydrological and hydraulic models: The flood event of May 2013 in the Bacchiglione basin, Hydrol. Earth Syst. Sci., 22.

Wani, O., Beckers, J., Weerts, A.H., Solomatine, D.P. (2017). Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting, Hydrol. Earth Syst. Sci., 21, 4021–4036, https://doi.org/10.5194/hess-21-4021-2017.

Mazzoleni, M., L. Alfonso, and D. Solomatine (2017), Influence of spatial distribution of sensors and observation accuracy on the assimilation of distributed streamflow data in hydrological modelling, Hydrol. Sci. J., 62(3), 389–407. https://doi.org/10.1080/02626667.2016.1247211.

I. M. Hartanto, J. van der Kwast, T. K. Alexandridis, W. Almeida, Song Yang, S. J. van Andel, D. P. Solomatine (2017). Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system, Int. J. of Applied Earth Observation and Geoinformation, 57, 123-135, https://doi.org/10.1016/j.jag.2016.12.015.

Delipetrev B., Jonoski A., Solomatine D. (2017) A novel nested stochastic dynamic programming (nSDP) and nested reinforcement learning (nRL) algorithm for multipurpose reservoir optimization, J. Hydroinformatics, 19(1), 47-61 (available online 17 September 2016), https://doi.org/10.2166/hydro.2016.243.

Minaya, V., Corzo, G.A., Solomatine, D.P., Mynett, A.E. (2017). Data-driven techniques for modelling the gross primary production of the paramo vegetation using climate data: Application in the Ecuadorian Andean region. Ecological Informatics (available online 11 December 2016), https://doi.org/10.1016/j.ecoinf.2016.12.002.

Hu, Y., Schmeits, M.J., van Andel, S.-J., Verkade, J.S., Xu, M, and Solomatine, D.P. (2016). A Stratified Sampling Approach for Improved Sampling from a Calibrated Ensemble Forecast Distribution. J. Hydrometeorology, 17(9), 2405-2417.

Gama M.C., Pan Q., Jonoski A. and Solomatine D. (2016) A Graph Theoretical Sectorization Approach for Energy Reduction in Water Distribution Networks (2016), Procedia Engineering, 154, 19-26, https://doi.org/10.1016/j.proeng.2016.07.414.

Mercado, V.D., Perez, G.C., Solomatine, D., Van Lanen, H.A.J. (2016). Spatio-temporal Analysis of Hydrological Drought at Catchment Scale Using a Spatially-distributed Hydrological Model. Procedia Engineering, 154, 738-744.

Le, M.H., Perez, G.C., Solomatine, D., Nguyen, L.B. (2016). Meteorological Drought Forecasting Based on Climate Signals Using Artificial Neural Network - A Case Study in Khanhhoa Province Vietnam. Procedia Engineering, 154, 1169-1175.

Mazzoleni M., Alfonso L. and Solomatine D.P. (2015). Effect of spatial distribution and quality of sensors on the assimilation of distributed streamflow observations in hydrological modeling, Hydrol. Sci. J., doi: 10.1080/02626667.2016.1247211.

Mazzoleni, M., Alfonso, L., Chacon-Hurtado, J., Solomatine, D. (2015). Assimilating uncertain, dynamic and intermittent streamflow observations in hydrological models. Adv. in Water Res., 83, 323-339 (Online on September 1, 2015). doi: 10.1016/j.advwatres.2015.07.004.

Delipetrev B., Jonoski A., Solomatine D.P. (2015). A novel nested dynamic programming (nDP) algorithm for multipurpose reservoir optimization. J. Hydroinformatics, 17(4), 570-583 (available online 11 February 2015), doi: 10.2166/hydro.2015.066.

Mukolwe, K. Yan, G. Di Baldassarre, D.P. Solomatine (2015). Testing new sources of topographic data for flood propagation modelling under structural, parameter and observation uncertainty. Hydrol. Sci. J. doi: 10.1080/02626667.2015.1019507.

N. Dogulu, P. Lopez Lopez, D. P. Solomatine, A. H. Weerts, and D. L. Shrestha (2015). Estimation of predictive hydrologic uncertainty using quantile regression and UNEEC methods and their comparison on contrasting catchments, Hydrol. Earth Syst. Sci., 19, 3181-3201. doi: 10.5194/hess-19-3181-2015.

Y.A. Bayissa, S.A. Moges, Y. Xuan, S.J. van Andel, S. Maskey, D.P. Solomatine, A. van Griensven, T. Tadesse (2015). Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia, Hydrological Sci. J., 60.11, 1927-1942. doi:10.1080/02626667.2015.1032291.

K. Yan, G. Di Baldassarre, D.P. Solomatine, G. J-P. Schumann (2015). A review of low-cost space-borne data for hydraulic modelling: topography, flood extent and water level. Hydrological Processes. doi:10.1002/hyp.10449.

A. Md Ali, G. Di Baldassarre & D. P. Solomatine (2015). Testing different cross-section spacing in 1D hydraulic modelling: A case study on Johor River, Malaysia, Hydrol. Sci. J., 60(2), 351-360, doi: 10.1080/02626667.2014.889297.

Md Ali, A., Solomatine, D. P., and Di Baldassarre, G. (2015). Assessing the impact of different sources of topographic data on 1-D hydraulic modelling of floods. Hydrol. Earth Syst. Sci., 19, 1-13, doi: 10.5194/hess-19-1-2015

 

Andreja Jonoski

Gebremedhin, E. T., Basco-Carrera, L., Jonoski, A., Iliffe, M., & Winsemius, H. (2020). Crowdsourcing and interactive modelling for urban flood management. Journal of Flood Risk Management, 13(2), 1-15. [e12602]. https://doi.org/10.1111/jfr3.12602

Jonoski A., Popescu I., Zhe S., Mu Y. and He Y. (2019). Analysis of Flood Storage Area Operations in Huai River Using 1D and 2D River Simulation Models Coupled with Global Optimization Algorithms. Geosciences 9(12), 509. https://doi.org/10.3390/geosciences9120509

Assumpcao T.H., Jonoski A., Theona I., Tsiakos C., Krommyda M., Tamascelli S., Kallioras A., Mierla M., Georgiou H.V., Miska M., Poularis C., Cimpan K.T., Tsertou A., Marin E., Diakakis M., Nichersu I., Amditis A. and Popescu I. (2019) "Citizens’ Campaigns for Environmental Water Monitoring: Lessons From Field Experiments," in IEEE Access, vol. 7, pp. 134601-134620, 2019. doi: 10.1109/ACCESS.2019.2939471

Mabrouk M., Jonoski A., Oude Essink G.H.P. and Uhlenbrook S. (2019) Assessing the Fresh–Saline Groundwater Distribution in the Nile Delta Aquifer Using a 3D Variable-Density Groundwater Flow Model. Water 2019, 11, 1946, https://doi.org/10.3390/w11091946

Venturini A.B., Assumpcao T.H., Popescu I., Jonoski A. & Solomatine D.P. (2019) Modelling support to citizen observatories for strategic Danube Delta planning: Sontea-Fortuna case study, Journal of Environmental Planning and Management, 62:11, 1972-1989, DOI: 10.1080/09640568.2018.1523787

Mabrouk M., Jonoski A., Oude Essink G.H.P. and Uhlenbrook S. (2018) Impacts of Sea Level Rise and Groundwater Extraction Scenarios on Fresh Ground water Resources in the Nile Delta Governorates, Egypt. Water 2018, 10, 1690, https://doi.org/10.3390/w10111690

Assumpcao T. H. and Popescu I. and Jonoski A. and Solomatine D. P. (2018) Citizen observations contributing to flood modelling: opportunities and challenges, Hydrology and Earth System Sciences, Volume 22, Issue 2, pp.1473--1489, https://doi.org/10.5194/hess-22-1473-2018

Basco-Carrera L., Meijers E., Sarisoy H. D., Sanli N. O., Coskun S., Oliemans W., van Beek E., Karaaslan Y. and Jonoski A. (2018), An adapted companion modelling approach for enhancing multi-stakeholder cooperation in complex river basins, International Journal of Sustainable Development & World Ecology, Volume 25, Issue 8, pp. 747-764, https://doi.org/10.1080/13504509.2018.1445668

Elgamal A., Reggiani P. and Jonoski A. (2017) Impact analysis of satellite rainfall products on flow simulations in the Magdalena River Basin, Colombia, In Journal of Hydrology: Regional Studies, Volume 9, 2017, Pages 85- 103, ISSN 2214-5818, https://doi.org/10.1016/j.ejrh.2016.09.001

Secron M. B., Montano M., Miguez M.G., Jonoski A., de Azevedo J. P. S., Popescu I. and Rosman P. C. C. (2017) Proposal of a hydric index to support industrial site location decision-making applying a fuzzy multiattribute methodology, In Ecological Indicators, Volume 83, 2017, Pages 427-440, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2017.08.002.

Basco-Carrera L., Warren A., van Beek E., Jonoski A. and Giardino A. (2017) Collaborative modelling or participatory modelling? A framework for water resources management, In Environmental Modelling & Software, Volume 91, 2017, Pages 95-110, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2017.01.014.

Basco-Carrera, L., van Beek, E., Jonoski, A., Benitez-Avila C. and Guntor FX PJ (2017) Collaborative Modelling for Informed Decision Making and Inclusive Water Development, Water Resources Management (2017) 31: 2611. https://doi.org/10.1007/s11269-017-1647-0

Gama M.C., Quan Pan, Lanfranchi E. A., Jonoski A. and Dimitri P. Solomatine (2017) Pump Scheduling for a Large Water Distribution Network. Milan, Italy, In Procedia Engineering, Volume 186, 2017, Pages 436-443, ISSN 1877-7058, https://doi.org/10.1016/j.proeng.2017.03.249

Delipetrev B., Jonoski A., Solomatine D. (2017) A novel nested stochastic dynamic programming (nSDP) and nested reinforcement learning (nRL) algorithm for multipurpose reservoir optimization, Journal of Hydroinformatics 19 (1) 47-61; DOI: 10.2166/hydro.2016.243

Pan Q., Gama M.C., Jonoski A. and Popescu I. (2016) Decision Support System for Daily and Long Term Operations of the System of Milan, Italy, Procedia Engineering 154, 58-67, Elsevier. http://dx.doi.org/10.1016/j.proeng.2016.07.419

Gama M.C., Pan Q., Jonoski A. and Solomatine D. (2016) A Graph Theoretical Sectorization Approach for Energy Reduction in Water Distribution Networks, Procedia Engineering 154, 19–26, Elsevier. http://dx.doi.org/10.1016/j.proeng.2016.07.414

Evers M., Jonoski A., Almoradie A. and Lange L. (2016) Collaborative decision making in sustainable flood risk management: A socio-technical approach and tools for participatory governance, Environmental Science & Policy, Elsevier, 55 / 2, pp 335–344. doi:10.1016/j.envsci.2015.09.009

Gama M.C., Lanfranchi E.A., Pan Q. and Jonoski A. (2015) Water Distribution Network Model Building, Case Study: Milano, Italy, Procedia Engineering 119, 573-582, Elsevier. doi:10.1016/j.proeng.2015.08.910

Ebrahim, G., Jonoski, A., Al-Maktoumi, A., Ahmed, M., and Mynett, A. (2015). Simulation-Optimization Approach for Evaluating the Feasibility of Managed Aquifer Recharge in the Samail Lower Catchment, Oman.
Journal of Water Resources Planning and Management, ASCE doi: 10.1061/ (ASCE) WR.1943-5452.0000588 ,05015007.

Gama M.C, Popescu I., Jonoski A. and Pan Q. (2015) Towards increased water and energy efficiencies in water distribution systems, Environmental Engineering & Management Journal (EEMJ) 14 (6).

Delipetrev B., Jonoski A., Solomatine D. (2015) A novel nested dynamic programming (nDP) algorithm for multipurpose reservoir optimization, Journal of Hydroinformatics 17(4), pp. 570–583, IWA. DOI: 10.2166/hydro.2015.066

Popescu I, Cioaca C, Pan Q, Jonoski A. and Hanganu J. (2015) Use of hydrodynamic models for the management of the Danube Delta wetlands: The case study of Sontea-Fortuna ecosystem, Environmental Science & Policy, 46, 48-56, Elsevier; DOI: 10.1016/j.envsci.2014.01.012

Almoradie A., Cortes V.J. and Jonoski A. (2015) Web-based stakeholder collaboration in flood risk management, Journal of Flood Risk Management, , 8 (1), 19-38, John Wiley & Sons Ltd and The Chartered Institution of Water and Environmental Management (CIWEM), first published online on 31 October 2013; DOI: 10.1111/jfr3.12076

 

Biswa Bhattacharya

Shettigar, N.A., Bhattacharya, B., Meszaros, L., Spinosa, A. and El Serafy, G. (2020). 3D ensemble simulation of seawater temperature – an application to aquaculture operations. Frontiers in Marine Science, section Coastal Ocean Processes.

Roy, B., Islam, A.K.M.S., Islam, G.M. T., Bhattacharya, B., Ali, Md. H., Khan, A.S., Hossain, Md.S., Sarker, J.C. and Khan, MU (2020). Determining flash flood danger level at gauge stations of the North East Haor regions of Bangladesh. J. of Hydrologic Engineering, 24(4).

Bhattacharya, B., Mazzoleni, M. and Ugay, R. (2019). Flood inundation mapping of the sparsely gaugedlarge-scale Brahmaputra basin using remote sensing products. Remote Sens., 11, 501; doi:10.3390/rs11050501.

Mastrantonas, N., Bhattacharya, B., Shibuo, Y., Rasmy, M., Espinoza-Davalos, G. and Solomatine, D. (2019). Evaluating the benefits of merging near real-time satellite precipitation products: A case study in Kinu basin, Japan. J. of Hydrometeorology https://journals.ametsoc.org/doi/abs/10.1175/JHM-D-18-0190.1.

Islam, M.F., Bhattacharya, B. and Popescu, I. (2019). Flood risk assessment due to cyclone induced dike breaching on coastal areas of Bangladesh. NHESS, 19, 353-368.

Bhattacharya, B., Suman, A., and Solomatine, D. (2019). Developing flood index from past flood hydrographs and using it as a tool to characterise flood severity. Env. Engg. & Management, 18(5).

Ghadua, Z. and Bhattacharya, B. (2019). Improving flash flood forecasting with a Bayesian probabilistic approach: A case study on the Posina basin in Italy. Int. J. of Environmental and Ecological Engineering, 13(5).

M. Laverde-Barajas, G.A. Corzo Perez, B. Bhattacharya, R. Uijlenhoet, and D.P Solomatine (2019). Spatiotemporal object-based method for extreme rainfall events: characteristics and applications forsatellite products. (Book chapter).

B. Roy, A.K.M.S. Islam, G.M. T. Islam, Md.J.U. Khan, B. Bhattacharya, Md.H. Ali, A.S. Khan, Md.S. Hossain, G.C. Sarker and N.M. Pieu (2018). Frequency Analysis of Flash Floods for Establishing New Danger Levels for the Rivers in the Northeast Haor Region of Bangladesh. J. of Hydrologic Engineering.

F. Sai, L. Cumiskey, A. Weerts, B. Bhattacharya and R.H. Khan (2018). Towards impact-based flood forecasting and warning in Bangladesh: a case study at the local level in Sirajganj district. Natural Hazards and Earth System Sciences Discussions.

Md.H. Ali, B. Bhattacharya, A.K.M.S. Islam, G.M.T. Islam, Md.S. Hossain and A.S. Khan (2018).Challenges for flood risk management in flood-prone Sirajganj region of Bangladesh. J. of Flood Risk Management, DOI: https://doi.org/10.1111/jfr3.12450.

Zevenbergen, C., Bhattacharya, B., Wahaab, R.A., Elbarki, W.A.I., Busker, T., and Salinas Rodriguez, C.N.A. (2016). In the aftermath of the October 2015 Alexandria Flood Challenges of an Arab city to deal with extreme rainfall storms. Natural Hazards.

Ali, M. H., Bhattacharya, B., and Katimon, A. (2016). Infiltration in Muda Irrigation Scheme, Malaysia.The Journal of the Institution of Engineers, Malaysia.

Bhattacharya, B., Suman, A., and Solomatine, D. Developing flood index from past flood hydrographs and using it as a tool to characterise flood severity. Env. Engg. & Management (Dec, 2016).

Ali, M. H., Bhattacharya, B., and Katimon, A. Modeling Surface Runoff in a Large-Scale Paddy Field in Malaysia. Int. J. of Hydrology Science and Technology (IJHST) (Dec, 2016).

Suman, A. and Bhattacharya, B. (2015). Flood characterisation of the Haor region of Bangladesh using flood index. Hydrology Research, 46(5), 824-835, doi:10.2166/nh.2014.065.

 

Gerald Corzo Perez

Diaz, V., Corzo Perez, G. A., Van Lanen, H. A. J., Solomatine, D., & Varouchakis, E. A. (2020). Characterisation of the dynamics of past droughts. Science of the Total Environment, 718. https://doi.org/10.1016/j.scitotenv.2019.134588.

Ritter, J., Corzo, G., Solomatine, D. P., & Angarita, H. (2020). Multiobjective Direct Policy Search Using Physically Based Operating Rules in Multireservoir Systems. Journal of Water Resources Planning and Management. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001159

Valles, J., Corzo, G., & Solomatine, D. (2020). Impact of the Mean Areal Rainfall Calculation on a Modular Rainfall-Runoff Model. Journal of Marine Science and Engineering, 8(12), 980. https://doi.org/10.3390/jmse8120980

Amaranto, A., Pianosi, F., Solomatine, D., Corzo, G., & Munoz-Arriola, F. (2020). Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in irrigated croplands. Journal of Hydrology, 587, 124957. https://doi.org/10.1016/j.jhydrol.2020.124957

Laverde-Barajas, M., Corzo, G. A., Poortinga, A., Chishtie, F., Meechaiya, C., Jayasinghe, S., ... & Solomatine, D. P. (2020). St-corabico: A spatiotemporal object-based bias correction method for storm prediction detected by satellite. Remote Sensing, 12(21), 3538. https://doi.org/10.3390/rs12213538

Diaz, V., Perez, G. A. C., Van Lanen, H. A., Solomatine, D., & Varouchakis, E. A. (2020). An approach to characterise spatio-temporal drought dynamics. Advances in Water Resources, 137, 103512. https://doi.org/10.1016/j.advwatres.2020.103512  

Uribe, N., Srinivasan, R., Corzo, G., Arango, D., & Solomatine, D. (2020). Spatio-temporal critical source area patterns of runoff pollution from agricultural practices in the Colombian Andes. Ecological Engineering, 149, 105810. https://doi.org/10.1016/j.ecoleng.2020.105810

Minaya V., Corzo G., Romero, H., van der Kwast J., Latinga, E., Mynett A. (2014) Altitudinal analysis of carbon stocks in the Antisana paramo, Ecuadorian Andes.Journal of Plant Ecology 9 (2016)5. - ISSN 1752-9921 - p. 553 - 563.

Minaya V., Corzo G., van der Kwast J., Galarraga-Sanchez, R., Mynett A, Simulating gross primary production and stand hydrological processes of paramo grasslands in the Ecuadorian Andean Region using the BIOME-BGC model, Soil Science: July 2016 - Volume 181 - Issue 7 - p 335–346, doi: 10.1097/SS.0000000000000154

Varouchakis, Emmanouil A.; Spanoudaki, Katerina; Hristopulos, Dionissios T.; Karatzas, George P.; Corzo Perez, Gerald A, Stochastic Modeling of Aquifer Level Temporal Fluctuations Based on the Conceptual Basis of the Soil-Water Balance Equation, June 2016 - Volume 181 - Issue 6 - p 224–231, doi: 10.1097/SS.0000000000000157

Veronica Minaya and Gerald A. Corzo and Dimitri P. Solomatine and Arthur E. Mynett, Data-driven techniques for modelling the gross primary production of the paramo vegetation using climate data: Application in the Ecuadorian Andean region, 2016, pg 1574-9541, Ecological Informatics

Moura Mikhaeil, Gerald Corzo, Islam Abou El-Magd, Model-based evaluation of structural measures impact on the inundation area of Wadi driven flash floods, Volume 03 Issue 08 (August 2016)

Joanne Craven, Hector Angarita, G.A. Corzo Perez, Daniel Vasquez, Development and testing of a river basin management simulation game for integrated management of the Magdalena-Cauca river basin, Environmental Modelling & Software, Volume 90, April 2017, Pages 78-88, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2017.01.002.

Reem F. Digna, Y. A. Mohamed, P. van der Zaag, S. Uhlenbrook, and G. A. Corzo, (2017) Nile River Basin modelling for water resources management - a literature review, International Journal of River Basin Management Vol. 15, Iss. 1,2017

A Jeuken, L Bouaziz, G Corzo, L Alfonso (2016). Analyzing Needs for Climate Change Adaptation in the Magdalena River Basin in Colombia. Journal of Climate Change Adaptation, Resilience and Hazards, 329-344

Impact of Water Resources Development on Water Availability for Hydropower Production and Irrigated Agriculture of the Eastern Nile Basin Reem F. Digna; Yasir A. Mohamed; Pieter van der Zaag; Stefan Uhlenbrook; Wil van der Krogt; and Gerald Corzo (2018). Volume 144 Issue 5 - May 2018

Spatio-temporal analysis of annual rainfall in Crete, Greece, Varouchakis, E.A., Corzo, G.A., Karatzas, G.P. et al. Acta Geophys. (2018). https://doi.org/10.1007/s11600-018-0128-z

Spatiotemporal Hydrological Analysis, Corzo PGA, Diaz V, Laverde M (2018) Spatiotemporal Hydrological Analysis. Int J Hydro 2(1): 00045. DOI: 10.15406/ijh.2018.02.00045

Digna, R.F.; Castro-Gama, M.E.; van der Zaag, P.; Mohamed, Y.A.; Corzo, G.; Uhlenbrook, S. Optimal Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources Development. Water 2018, 10, 921.

Yalina Montecelos-Zamora, Tereza Cavazos, Thomas Kretzschmar, Enrique R. Vivoni, Eugenio Molina-Navarro, Gerald Corzo (2018). Hydrological Modelling of Climate Change Impacts in a Tropical River, Basin: A Case Study of the Cauto River, Cuba. Water 2018, In press.

Uribe, N., Corzo, G., Quintero, M., van Griensven, A., & Solomatine, D. (2018). Impact of conservation tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed, Colombia. Agricultural Water Management, 209, 62-72.

Amaranto, A., Munoz-Arriola, F., Corzo, G., Solomatine, D. P., and Meyer, G. (2018). Semi-seasonal groundwater forecast,using multiple data-driven models in an irrigated cropland. Journal of Hydroinformatics, jh2018002.

Dahm, R., Bhardwaj, A., Sperna Weiland, F., Corzo, G., & Bouwer, L. M. (2019). A Temperature-Scaling Approach for Projecting Changes in Short Duration Rainfall Extremes from GCM Data. Water, 11(2), 313. a. Doi: https://doi.org/10.3390/w11020313

Amaranto, A., Munoz-Arriola, F., Corzo, G., Solomatine, D. P., and Meyer, G., A Spatially enhanced data-driven multi-model to improve semi-seasonal groundwater forecasts in the High Plains aquifer, USA, Water Resources Research, 2019 Doi: https://doi.org/10.1029/2018WR024301

Alessandro Amaranto, Francesca Pianosi, Dimitri Solomatine, Gerald Corzo, Francisco Munoz-Arriola (2019). Sensitivity Analysis of Data-driven Groundwater Forecast to Hydroclimatic Controls in Irrigated Croplands. Hydrology and Earth System Sciences, under review.Doi: https://doi.org/10.2166/hydro.2018.002

E.A Varouchakis, D.T. Hristopulos, G.B.M., Heuvelink, G.A. Corzo Perez, "Spatio-temporal statistical methods for the analysis of hydrological events and related hazards". Spatial Statistics 34, 100387, 2019. Doi: https://doi.org/10.1016/j.spasta.2019.100387

Diaz, V., Corzo Perez, G. A., Van Lanen, H. A. J., Solomatine, D., & Varouchakis, E. A. (2020). Characterisation of the dynamics of past droughts. Science of the Total Environment, 718. https://doi.org/10.1016/j.scitotenv.2019.134588.

Ritter, J., Corzo, G., Solomatine, D. P., & Angarita, H. (2020). Multiobjective Direct Policy Search Using Physically Based Operating Rules in Multireservoir Systems. Journal of Water Resources Planning and Management. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001159

 

Ioana Popescu

Chapters in Books

Assumpcao, T.H., Popescu, I, Jonoski,A., Solomatine, D.P. (2020), Exploring contributions of citizens’ data to improvements in modelling of an urbanized catchment: A case study in Kifissos catchment, in River Flow 2020 (edited by Uijttewaal, W, Franca, M.J., Valero, D., Chavarrias, V, Ylla Arbos, C, Schielen, R., Crosato, A) doi.org/10.1201/b22619

Balica, F, Quan, D, Popescu, I, (2014), Vulnerability and Exposure in Developed and Developing Countries: Large-Scale Assessments, in “Hydro-meteorological hazards risks, and disasters” (Schroder et al, editors), Elsevier, pp. 42

Popescu, I (2013). Unsteady Flow, in “Floods in a Changing Climate: Inundation Modelling (G Di Baldassarre)", International Hydrological Series, Cambridge University Press, Cambridge, UK, pp10

FP7 DANCERS consortium, (2015), Proposal for the Development of Human Capital, In Towards the Integrated Management of the Danube River – Danube Delta – Black Sea system, (edited by Habersack, H., Tyler, A., Bradley, C., Stanica, A., Popescu, I.), Geoecomar, Bucharest, 2015, pp1- 50, (ISBN: 978-606-94058-6-4 (print), ISBN: 978-606-94058-7-1 (online))

FP7 DANCERS consortium, (2015), Proposal for a Strategic Research and Innovation Agenda, In Towards the Integrated Management of the Danube River – Danube Delta – Black Sea system (edited by Gault, J, Bradley, C., Tyler, A., Stanica, A., Papathanassiou, V., Gettel, G., Geoecomar, Bucharest, 2015, pp1-53 (ISBN: 978-606-94058-2-6 (print), ISBN: 978-606- 94058-3-3 (online)) (Remark: Popescu I. is on the list of authors of FP7 DANCERS consortium)

FP7 DANCERS consortium, (2015), Collaboration of the two EUSDR Flagship Distributed Research Infrastructures, In Towards the Integrated Management of the Danube River – Danube Delta – Black Sea system (edited by by Stanica, A., Bradley, C., Tyler, A., I. page 2/15 (May 2021) Habersack, H.), Geoecomar, Bucharest, 2015, pp 1-46, (ISBN: 978-606-94058-4-0 (print), ISBN: 978-606-94058-5-7 (online) ) (Remark: Popescu I. is on the list of authors of FP7 DANCERS consortium)

 

Journal papers

de Sherbinin, A., Bowser, A., Chuang T.R., Cooper, C., Danielsen, F., Edmunds, R., Elias, P., Faustman, E., Hultquist, C., Mondardini, R., Popescu, I., Shonowo, A., Sivakumar, K. (2021), The Critical Importance of Citizen Science Data, Frontiers in Climate, 3, 20, DOI: 10.3389/fclim.2021.650760

Jonoski, A.; Popescu, I.; Zhe, S.; Mu, Y.; He, Y. (2019) Analysis of Flood Storage Area Operations in Huai River Using 1D and 2D River Simulation Models Coupled with Global Optimization Algorithms. MDPI Geosciences Journal, 9, 509-530. DOI: 10.3390/geosciences9120509

Assumpcao, T. H., Jonoski, A., Theona I, Tsiakos, C, Krommyda, M., tamascelli, S., Kallioras, A., Mierla, M., Georgiou, H.V., Miska, M., Pouliaris, C., Trifanov, C., Cimpan, K.T., Tsertou, A., Marin, E., Diakakis, M., Nichersu, I., Amditis, A.J., Popescu, I., (2019), Citizens’ Campaigns for Environmental Water Monitoring: Lessons From Field Experiments, IEEE Access, 7, 134601-134620. DOI: 10.1109/ACCESS.2019.2939471.

Aygun O., Jonoski A., Popescu I. (2019) Salinity Control on Saigon River Downstream of Dautieng Reservoir Within Multi-objective Simulation-Optimisation Framework for Reservoir Operation. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019, I. Lecture Notes in Computer Science, 11539, 329-345. DOI: 10.1007/978-3-030-22747- 0_26

Islam, M. F., Bhattacharya, B., and Popescu, I. (2019), Flood risk assessment due to cycloneinduced dike breaching in coastal areas of Bangladesh, Nat. Hazards Earth Syst. Sci., 19, 353-368, DOI: 10.5194/nhess-19-353-2019, 2019.

Ali, M.H., Assumpcao, T.H., Popescu, I., Jonoski, A. (2019), Automated updating of land cover maps used in hydrological modelling, Lecture Notes in Business Information Processing, 339, 498-506.

Venturini, A.B., Assumpcao, T.H., Popescu, I., Jonoski, A., Solomatine, D.P., (2019) Modelling support to citizen observatories for strategic Danube Delta planning: Sontea-Fortuna case study, J. of Env. Planning and Management, 62(11), 1972-1989, DOI: 10.1080/09640568.2018.1523787

Zheng , F, Tao, R., Maier, H.R., See, L., Savic,D., Zhang, T., Chen, Q., Assumpcao, T.H., Yang, P., Heidari, B., Rieckermann, J., Minsker, B., Bi, W., Cai, X., Solomatine, D., Popescu, I. (2018) Crowdsourcing methods for data collection in geophysics: State of the art, issues, and future directions. Reviews of Geophysics, 56. DOI: 10.1029/2018RG000616

Assumpcao, T. H., Popescu, I., Jonoski, A., and Solomatine, D. P.,(2018) Citizen observations contributing to flood modelling: opportunities and challenges, Hydrol. Earth Syst. Sci., 22 (2), 1473-1489, DOI: 10.5194/hess-22-1473-2018.

Abdullah, A.D., Castro-Gama, M.E., Popescu, I., van der Zaag, P., Karim, U., Al Suhail, Q., (2018) Optimization of water allocation in the Shatt al-Arab River under different salinity regimes and tide impact, Hydrological Sciences Journal., 63(4),646-656, DOI: 10.1080/02626667.2018.1446213

Secron, M.B., Montano, M., Miguez, M.G., Jonoski, A., Azevedo, J.P.S.D., Popescu, I., Rosman, P.C.C., (2017) Proposal of a hydric index to support industrial site location decision-making applying a fuzzy multi-attribute methodology, Ecological Indicators, 83, 427-440. DOI: 10.1016/j.ecolind.2017.08.002

Abdullah, A.D., Popescu, I., Dastgheib, A., van der Zaag, P., Masih, I., Karim, U.F.A., (2017) Analysis of Possible Actions to Manage the Longitudinal Changes of Water Salinity in a Tidal River, Water Resources Management 31 (7), 2157-2171. DOI:10.1007/s11269-017- 1634-5

Musa, Z.N., Popescu, I., Mynett, A., (2016) Assessing the sustainability of local resilience practices against sea level rise impacts on the lower Niger delta, Ocean and Coastal Management, 130, 221-228, DOI: 10.1016/j.ocecoaman.2016.06.016

Abdullah, A. D., Gisen, J. I. A., van der Zaag, P., Savenije, H. H. G., Karim, U. F. A., Masih, I., Popescu, I. (2016), Predicting the salt water intrusion in the Shatt al Arab estuary using an analytical approach, Hydrol. Earth Syst. Sci., 20, 4031-4042, DOI: 10.5194/hess-20-4031- 2016

Akter, J., Sarker, M.H., Popescu, I., Roelvink, D. (2016), Evolution of the Bengal Delta and Its Prevailing Processes, Journal of Coastal Research, 32(5), 1212-1226, DOI: 10.2112/JCOASTRES-D-14-00232.1

Abdullah, A.D., Karim, U.F.A., Masih, I., Popescu, I., Van der Zaag, P. (2016), Anthropogenic and tidal influences on salinity levels of the Shatt al-Arab River, Basra, Iraq, I. Journal of River Basin Management, 14 (3), 357-366, DOI: 10.1080/15715124.2016.1193509

Musa, Z.N., Popescu,I., Mynett, A. (2016), Approach on Modeling Complex Deltas in Data Scarce Areas: A Case Study of the Lower Niger Delta, Procedia Engineering, 154, 656-664, DOI: 10.1016/j.proeng.2016.07.566

Pan, Q., Castro-Gama, M.E., Jonoski, A., Popescu, I., (2016) Decision Support System for Daily and Long-Term Operations of the System of Milan, Italy, Procedia Engineering, 154, 58- 61, DOI: 10.1016/j.proeng.2016.07.419

Beevers, L., Popescu, I., Pan, Q., Pender, D. Applicability of a coastal morphodynamic model for fluvial environments, (2016) Environmental Modelling and Software, 80(6), 83-99, DOI: 10.1016/j.envsoft.2016.02.016

Castro Gama, M., Popescu, I., Mynett, A., Li, S., Van Dam, A., Modeling extreme flood events in the yellow river using unstructured grids, (2016), Transactions of the ASABE, 59 (1), 129-143, DOI: 10.13031/trans.59.11324

Irvine, K, Weigelhofer G, Popescu, I. , Pfeiffer, E, Paun, A, Drobot, R, Gettel, G, Staska, B, Stanica, A., Hein, T, Habersack, H, (2015), Educating for action: Aligning skills with policies for sustainable development in the Danube river basin, Science of the Total Environment, DOI: 10.1016/j.scitotenv.2015.09.072

Pan, Q, Jonoski, A., Castro Gama, M., Popescu, I., (2015), Application of a web-based decision support system for water supply networks, Journal of Environmental Engineering and Management, SI ICT for Water, 14(9), 2087-2094

Musa, Z. N., Popescu, I., and Mynett, A., (2015), Uncertainty in Hydrodynamic Modelling of Flooding in the Lower Niger River with Downstream Sea Level Rise, in Springer Water, Philippe Gourbesville et al. (Eds): Advances in Hydroinformatics,189-202, DOI: 978-981- 287-614-0

Musa, Z. N., Popescu, I., and Mynett, A., (2015), A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation, Hydrol. Earth Syst. Sci., 19 (9), 3755-3769, DOI: 10.5194/hessd-12-4857-2015

Castro Gama, M., Popescu, I., Jonoski, A., Pan Q, (2015), Towards increased water and energy efficiencies in water distribution systems, Journal of Environmental Engineering and Management, 14(6), 1271-1278

Abdullah, A.D., Masih, I., van der Zaag, P., Karim, U.F.A., Popescu, I., Al Suhail, Q. (2015), Shatt al Arab River system under escalating pressure: a preliminary exploration of the issues and options for mitigation, International J. of River Basin Management, 13 (2), 215-227. DOI: 10.1080/15715124.2015.1007870

Popescu, I., Cioaca, E., Pan, Q., Jonoski, A., Hanganu, J. (2015), Use of hydrodynamic models for the management of the Danube Delta wetlands: The case study of Sontea-Fortuna ecosystem, Environmental Science and Policy, 46, 48-56, (DOI: 10.1016/j.envsci.2014.01.012)

Brandimarte, L., Popescu, I., Neamah, N.K. (2015) Analysis of fresh-saline water interface at the Shatt Al-Arab estuary, International J. of River Basin Management, 13(1), 17-25 (DOI: 10.1080/15715124.2014.945092)

 

Leonardo Alfonso Segura

 

Bertini, C., Ridolfi, E., de Padua, L. H. R., Russo, F., Napolitano, F., & Alfonso, L. (2021). An entropy-based approach for the optimization of rain gauge network using satellite and ground-based data. Hydrology Research, 52(3), 620-635.

Alonso Vicario, S., Mazzoleni, M., Bhamidipati, S., Gharesifard, M., Ridolfi, E., Pandolfo, C., & Alfonso, L. (2020). Unravelling the influence of human behaviour on reducing casualties during flood evacuation. Hydrological Sciences Journal, 65(14), 2359-2375.

Quintiliani, C., Marquez-Calvo, O., Alfonso, L., Di Cristo, C., Leopardi, A., Solomatine, D. P., & De Marinis, G. (2019). Multiobjective Valve Management Optimization Formulations for Water Quality Enhancement in Water Distribution Networks. Journal of Water Resources Planning and Management, 145(12), 04019061.

Marquez Calvo, O. O., Quintiliani, C., Alfonso, L., Di Cristo, C., Leopardi, A., Solomatine, D., & de Marinis, G. (2018). Robust optimization of valve management to improve water quality in WDNs under demand uncertainty. Urban Water Journal, 15(10), 943-952.

Padua, Luiz Henrique Resende de, Nascimento, Nilo de Oliveira, Silva, Francisco Eustaquio Oliveira e, & Alfonso, Leonardo. (2019). Analysis of the fluviometric network of Rio das Velhas using Entropy. RBRH, 24, e42. Epub October 17, 2019.https://dx.doi.org/10.1590/2318-0331.241920180188

Mazzoleni, M., Cortes Arevalo, V. J., Wehn, U., Alfonso, L., Norbiato, D., Monego, M., Ferri, M., and Solomatine, D. P.: Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy), Hydrol. Earth Syst. Sci., 22, 391-416, https://doi.org/10.5194/hess-22-391-2018, 2018.

Mazzoleni, M., Noh, S. J., Lee, H., Liu, Y., Seo, D. J., Amaranto, A., Solomatine, D. P. (2018). Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods. Hydrological Sciences Journal, 63(3), 386-407.

Henriksen, H. J., Roberts, M. J., van der Keur, P., Harjanne, A., Egilson, D., & Alfonso, L. (2018). Participatory early warning and monitoring systems: A Nordic framework for web-based flood risk management. International journal of disaster risk reduction, 31, 1295-1306.

Mazzoleni, M., Chacon-Hurtado, J., Noh, S. J., Seo, D. J., Alfonso, L., & Solomatine, D. (2018). Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting. Journal of Hydrologic Engineering, 23(6), 04018018.

Banik, Bijit Kumar, Leonardo Alfonso, Cristiana Di Cristo, Angelo Leopardi, and Arthur Mynett. (2017). 'Evaluation of Different Formulations to Optimally Locate Sensors in Sewer Systems', Journal of Water Resources Planning and Management, 143: 04017026.

Mazzoleni, Maurizio, Leonardo Alfonso, and Dimitri Solomatine. (2017). 'Influence of spatial distribution of sensors and observation accuracy on the assimilation of distributed streamflow data in hydrological modelling', Hydrological Sciences Journal, 62: 389-407.

Mazzoleni, Maurizio, Martin Verlaan, Leonardo Alfonso, Martina Monego, Daniele Norbiato, Miche Ferri, and Dimitri P. Solomatine. (2017). 'Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?', Hydrology and Earth System Sciences, 21: 839-61.

Chacon-Hurtado, J. C., L. Alfonso, and D. P. Solomatine. (2017). 'Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework', Hydrol. Earth Syst. Sci., 21: 3071-91.

Botwe, Benjamin O., Leonardo Alfonso, Elvis Nyarko, and Piet N. L. Lens. (2017). 'Metal distribution and fractionation in surface sediments of coastal Tema Harbour (Ghana) and its ecological implications', Environmental Earth Sciences, 76: 514.

Mazzoleni, Maurizio, Martin Verlaan, Leonardo Alfonso, Martina Monego, Daniele Norbiato, Miche Ferri, and Dimitri P. Solomatine. (2017). 'Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?', Hydrology and Earth System Sciences, 21: 839-61.

Ridolfi, E., M. Rianna, G. Trani, L. Alfonso, G. Di Baldassarre, F. Napolitano, and F. Russo (2016), A new methodology to define homogeneous regions through an entropy based clustering method, Advances in Water Resources, 96, 237-250, http://dx.doi.org/10.1016/j.advwatres.2016.07.007.

Alfonso, L., M. M. Mukolwe, and G. Di Baldassarre (2016), Probabilistic Flood Maps to support decision-making: Mapping the Value of Information, Water Resources Research, 52(2), 1026-1043,10.1002/2015WR017378.

Mazzoleni, M., L. Alfonso, J. Chacon-Hurtado, and D. Solomatine (2015), Assimilating uncertain, dynamic and intermittent streamflow observations in hydrological models, Advances in Water Resources, 83, 323-339

 

Schalk Jan van Andel

Zappa M., van Andel S.J., Cloke H.L. (2019): Introduction to Ensemble Forecast Applications and Showcases. In: Duan Q., Pappenberger F., Wood A., Cloke H., Schaake J. (eds) Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39925-1_45

Pappenberger F. et al. (2019): Hydrological Ensemble Prediction Systems Around the Globe. In: Duan Q., Pappenberger F., Wood A., Cloke H., Schaake J. (eds) Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39925-1_47

Special issue

Cloke H.L., Pappenberger F., van Andel S.J., Schaake J., Thielen J., Ramos M.H. (eds.) (2013): Hydrological Ensemble Prediction Systems (HEPS). Special Issue of Hydrological Processes, Volume 27, Issue 1, Pages i–ii, 1–163

International peer-reviewed papers

Bayissa, Y.A., Tadesse, T., Svoboda, M., Wardlow B.D., Poulsen C., Swigart, J., Van Andel, S.J. (2019): Developing a satellite-based combined drought indicator to monitor agricultural drought: a case study for Ethiopia. GIScience and Remote Sensing 56(5), pp. 718-748

Bayissa Y.A., Maskey S., Tadesse T., van Andel S.J., Moges S.A., van Griensven A., Solomatine D.P (2018): Comparison of the performance of six drought indices in characterizing historical drought for the Upper Blue Nile Basin, Ethiopia, Geosciences 8 (3), 81

Hartanto I.M., van der Kwast J., Alexandridis T.K., Almeida W., Song Y., van Andel S.J., Solomatine D.P. (2017): Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system. Int. J. Appl. Earth Obs., 2017, 57, 123–135

Louise Arnal, Maria-Helena Ramos, Erin Coughlan de Perez, Hannah Louise Cloke, Elisabeth Stephens, Fredrik Wetterhall, Schalk Jan van Andel, and Florian Pappenberger (2016): Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game. Hydrol. Earth Syst. Sci., 20, 3109-3128

Y Hu, MJ Schmeits, S Jan van Andel, JS Verkade, M Xu, DP Solomatine (2016): A Stratified Sampling Approach for Improved Sampling from a Calibrated Ensemble Forecast Distribution. Journal of Hydrometeorology 17 (9), 2405-2417

TK Alexandridis, I Cherif, G Bilas, WG Almeida, IM Hartanto, SJ van Andel (2016): Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes. Water 8 (1), 32

Bayissa Y.A., Moges S.A., Xuan Y., van Andel S.J., Maskey S., Solomatine D.P., van Griensven A., Tadesse T. (2015): Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrological Sciences Journal,  DOI: 10.1080/02626667.2015.1032291

Van Andel S.J., Stavrinos E., van der Zwan R.E., Alexandridis T.K. (2015): Earth Observation and DSS Technical Support Tools for Operational Water Management: User's Feedback on MyWater Project. Agriculture and Agricultural Science Procedia, 4, 232-241

Crochemore L., Ramos M.-H., Pappenberger F., van Andel S.J., Wood A. (2015): An experiment on risk-based decision-making in water management using monthly probabilistic forecasts. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-14-00270.1, in press

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