{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T05:05:24Z","timestamp":1772600724085,"version":"3.50.1"},"reference-count":68,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T00:00:00Z","timestamp":1675641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Committee of Science of Ministry of Science and Higher Education of the Republic of Kazakhstan","award":["AP08856733"],"award-info":[{"award-number":["AP08856733"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>Flooding events have been negatively affecting the Republic of Kazakhstan, with higher occurrence in flat parts of the country during spring snowmelt in snow-fed rivers. The current project aims to assess the flood hazard reduction capacity of Alva irrigation system, which is located in the interfluve area of Yesil and Nura Rivers. The assessment is performed by simulating spring floods using HEC-RAS 2D and controlling the gates of the existing system. A digital elevation model of the study domain was generated by integration of Sentinel-1 radar images with the data obtained from bathymetrical survey and aerial photography. Comparison of the simulated inundation area with a remote sensing image of spring flood in April 2019 indicated that the main reason for differences was due to local snowmelt in the study domain. Exclusion of areas flooded by local snowmelt, which were identified using the updated DEM, from comparison increased the model similarity to 70%. Further simulations of different exceedance probability hydrographs enabled classification of the study area according to maximum flood depth and flood duration. Theoretical changes on the dam crest as well as additional gates were proposed to improve the system capacity by flooding agriculturally important areas, which were not flooded during the simulation of the current system. The developed model could be used by local authorities for further development of flood mitigation measures and assessment of different development plans of the irrigation system.<\/jats:p>","DOI":"10.3390\/computation11020027","type":"journal-article","created":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T02:29:23Z","timestamp":1675650563000},"page":"27","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Operation of Gate-Controlled Irrigation System Using HEC-RAS 2D for Spring Flood Hazard Reduction"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8395-8497","authenticated-orcid":false,"given":"Farida","family":"Akiyanova","sequence":"first","affiliation":[{"name":"International Science Complex Astana, 01000 Astana, Kazakhstan"}]},{"given":"Nurlan","family":"Ongdas","sequence":"additional","affiliation":[{"name":"ON-Oekohydroprojekt, 120400 Aiteke Bi, Kazakhstan"}]},{"given":"Nurlybek","family":"Zinabdin","sequence":"additional","affiliation":[{"name":"International Science Complex Astana, 01000 Astana, Kazakhstan"}]},{"given":"Yergali","family":"Karakulov","sequence":"additional","affiliation":[{"name":"International Science Complex Astana, 01000 Astana, Kazakhstan"}]},{"given":"Adlet","family":"Nazhbiyev","sequence":"additional","affiliation":[{"name":"International Science Complex Astana, 01000 Astana, Kazakhstan"}]},{"given":"Zhanbota","family":"Mussagaliyeva","sequence":"additional","affiliation":[{"name":"International Science Complex Astana, 01000 Astana, Kazakhstan"}]},{"given":"Aksholpan","family":"Atalikhova","sequence":"additional","affiliation":[{"name":"International Science Complex Astana, 01000 Astana, Kazakhstan"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1007\/s11069-010-9537-2","article-title":"A digitized global flood inventory (1998\u20132008): Compilation and preliminary results","volume":"55","author":"Adhikari","year":"2010","journal-title":"Nat. Hazards"},{"key":"ref_2","unstructured":"Smith, K., and Ward, R. (1998). Floods: Physical Processes and Human Impacts, John Wiley & Sons."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"102086","DOI":"10.1016\/j.ijdrr.2021.102086","article-title":"A comprehensive flood event specification and inventory: 1930\u20132020 Turkey case study","volume":"56","author":"Haltas","year":"2021","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Shahabi, H., Shirzadi, A., Ghaderi, K., Omidvar, E., Al-Ansari, N., Clague, J.J., Geertsema, M., Khosravi, K., Amini, A., and Bahrami, S. (2020). Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest neighbor classifier. Remote Sens., 12.","DOI":"10.3390\/rs12020266"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1038\/s41586-021-03695-w","article-title":"Satellite imaging reveals increased proportion of population exposed to floods","volume":"596","author":"Tellman","year":"2021","journal-title":"Nature"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"E1133","DOI":"10.1175\/BAMS-D-20-0001.1","article-title":"Multisourced Flood Inventories over the Contiguous United States for Actual and Natural Conditions","volume":"102","author":"Huang","year":"2021","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"100702","DOI":"10.1016\/j.ejrh.2020.100702","article-title":"Optimal floodgate operation for river flood management: The case study of Padova (Italy)","volume":"30","author":"Mel","year":"2020","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_8","unstructured":"Tengrinews (2022, April 14). Floods in Kazakhstan. Available online: https:\/\/tengrinews.kz\/news\/pavodki-v-kazahstane-227-naselennyih-punktov-v-zone-riska-465453\/."},{"key":"ref_9","unstructured":"Burlibaev, M.Z., Volchek, A.A., and Kalinin, M.Y. (2016, January 22\u201324). Hydrological natural phenomena (world trends, chronicle of Belarus and Kazakhstan). Proceedings of the International Scientific and Practical Conference Dedicated to Summing Up the Decade \u201cWater for Life\u201d Declared by the UN \u201cWater Resources of Central Asia and Their Use\u201d, Almaty, Kazakhstan. Book 2."},{"key":"ref_10","unstructured":"Galperin, R.I. (2016, January 22\u201324). On water hazards in Kazakhstan. Proceedings of the Materials of the International Scientific and Practical Conference, Dedicated to Summing up the Results of the Decade Declared by the UN \u201cWater for Life\u201d \u201cWater Resources of Central Asia and Their Use, Almaty, Kazakhstan. Book 2."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Li, C., Cheng, X., Li, N., Du, X., Yu, Q., and Kan, G. (2016). A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas. Int. J. Environ. Res. Public Health, 13.","DOI":"10.3390\/ijerph13080787"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1007\/s11069-016-2501-z","article-title":"Flood Hazard Assessment for Extreme Flood Events","volume":"84","author":"Falconer","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.5194\/nhess-14-1361-2014","article-title":"Flood Risk Assessment: Concepts, Modelling, Applications","volume":"14","author":"Tsakiris","year":"2014","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"101077","DOI":"10.1016\/j.ijdrr.2019.101077","article-title":"Flood Risk Assessment Based on Hydrodynamic Model and Fuzzy Comprehensive Evaluation with GIS Technique","volume":"35","author":"Cai","year":"2019","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"105279","DOI":"10.1016\/j.envsoft.2021.105279","article-title":"An Integrated Flood Risk Assessment Approach Based on Coupled Hydrological-Hydraulic Modeling and Bottom-up Hazard Vulnerability Analysis","volume":"148","author":"Zhang","year":"2022","journal-title":"Environ. Model. Softw."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/s11069-015-1699-5","article-title":"Flood Hazard Assessment in the Kujukuri Plain of Chiba Prefecture, Japan, Based on GIS and Multicriteria Decision Analysis","volume":"78","author":"Chen","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s12665-015-5157-1","article-title":"Urban Flood Hazard Assessment in the Basin of Athens Metropolitan City, Greece","volume":"75","author":"Bathrellos","year":"2016","journal-title":"Environ. Earth Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1016\/j.jhydrol.2015.06.008","article-title":"Flood Hazard Risk Assessment Model Based on Random Forest","volume":"527","author":"Wang","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1080\/19475705.2017.1294113","article-title":"bin Ensemble Machine-Learning-Based Geospatial Approach for Flood Risk Assessment Using Multi-Sensor Remote-Sensing Data and GIS","volume":"8","author":"Mojaddadi","year":"2017","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"e12622","DOI":"10.1111\/jfr3.12622","article-title":"The Use of Unmanned Aerial Vehicles in Flood Hazard Assessment","volume":"13","author":"Karamuz","year":"2020","journal-title":"J. Flood Risk Manag."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Gebremichael, E., Molthan, A.L., Bell, J.R., Schultz, L.A., and Hain, C. (2020). Flood Hazard and Risk Assessment of Extreme Weather Events Using Synthetic Aperture Radar and Auxiliary Data: A Case Study. Remote Sens., 12.","DOI":"10.3390\/rs12213588"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.jhydrol.2019.04.072","article-title":"River Basin-Scale Flood Hazard Assessment Using a Modified Multi-Criteria Decision Analysis Approach: A Case Study","volume":"574","author":"Calbimonte","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"105765","DOI":"10.1016\/j.ecoleng.2020.105765","article-title":"Large-Scale Flood Hazard Assessment under Climate Change: A Case Study","volume":"147","author":"Doulabian","year":"2020","journal-title":"Ecol. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.advwatres.2019.04.009","article-title":"Linking Statistical and Hydrodynamic Modeling for Compound Flood Hazard Assessment in Tidal Channels and Estuaries","volume":"128","author":"Moftakhari","year":"2019","journal-title":"Adv. Water Resour."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"295","DOI":"10.5194\/nhess-4-295-2004","article-title":"Flood Risk Assessment and Associated Uncertainty","volume":"4","author":"Apel","year":"2004","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Fassoni-Andrade, A.C., Fan, F.M., Collischonn, W., Fassoni, A.C., and Paiva, R.C.D. (2018). Comparison of numerical schemes of river flood routing with an inertial approximation of the Saint Venant equations. Rbrh, 23.","DOI":"10.1590\/2318-0331.0318170069"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/s12517-022-09813-w","article-title":"Mesh grid stability and its impact on flood inundation through (2D) hydrodynamic HEC-RAS model with special use of Big Data platform\u2014A study on Purna River of Navsari city","volume":"15","author":"Pathan","year":"2022","journal-title":"Arab. J. Geosci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"262","DOI":"10.2166\/h2oj.2021.111","article-title":"Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework","volume":"4","author":"Madhuri","year":"2021","journal-title":"H2Open J."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1007\/s40808-020-00961-0","article-title":"Application of new HEC-RAS version 5 for 1D hydrodynamic flood modeling with special reference through geospatial techniques: A case of River Purna at Navsari, Gujarat, India","volume":"7","author":"Pathan","year":"2021","journal-title":"Model. Earth Syst. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"17","DOI":"10.21608\/jades.2021.186031","article-title":"Flash Flood Modeling Using HEC-RAS (2D) model on Wadi Reem in the western region, Kingdom of Saudi Arabia","volume":"22","author":"Mostafa","year":"2021","journal-title":"J. Egypt. Acad. Soc. Environ. Development. D Environ. Stud."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.28991\/cej-2021-03091739","article-title":"2D-HEC-RAS Modeling of Flood Wave Propagation in a Semi-Arid Area Due to Dam Overtopping Failure","volume":"7","author":"Karim","year":"2021","journal-title":"Civ. Eng. J."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e11667","DOI":"10.7717\/peerj.11667","article-title":"Application of different building representation techniques in HEC-RAS 2-D for urban flood modeling using the Toce River experimental case","volume":"9","author":"Mustafa","year":"2021","journal-title":"PeerJ"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"126962","DOI":"10.1016\/j.jhydrol.2021.126962","article-title":"Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling","volume":"603","author":"Costabile","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1111\/1752-1688.12952","article-title":"Inter-Model Comparison of Delft3D-FM and 2D HEC-RAS for Total Water Level Prediction in Coastal to Inland Transition Zones","volume":"58","author":"Yin","year":"2022","journal-title":"JAWRA J. Am. Water Resour. Assoc."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"112125","DOI":"10.1016\/j.jenvman.2021.112125","article-title":"Measuring and modeling event-based environmental flows: An assessment of HEC-RAS 2D rain-on-grid simulations","volume":"285","author":"Zeiger","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"103011","DOI":"10.1016\/j.ijdrr.2022.103011","article-title":"A practical probabilistic approach for simulating life loss in an urban area associated with a dam-break flood","volume":"76","author":"Taleb","year":"2022","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Papaioannou, G., Markogianni, V., Loukas, A., and Dimitriou, E. (2022). Remote Sensing Methodology for Roughness Estimation in Ungauged Streams for Different Hydraulic\/Hydrodynamic Modeling Approaches. Water, 14.","DOI":"10.3390\/w14071076"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.ejrh.2015.12.063","article-title":"Evaluation of reservoir operation strategies for irrigation in the Macul Basin, Ecuador","volume":"5","author":"Tinoco","year":"2016","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"4480","DOI":"10.1016\/j.apm.2014.02.030","article-title":"Reservoir flood control operation based on chaotic particle swarm optimization algorithm","volume":"38","author":"He","year":"2014","journal-title":"Appl. Math. Model."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Myo Lin, N., Rutten, M., and Tian, X. (2018). Flood Mitigation through Optimal Operation of a Multi-Reservoir System by Using Model Predictive Control: A Case Study in Myanmar. Water, 10.","DOI":"10.3390\/w10101371"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"04021030","DOI":"10.1061\/(ASCE)WW.1943-5460.0000671","article-title":"Effective Flood Control Method in River Downstream Affected by Tidal Effect Using Optimal Operation of Estuary Barrage","volume":"147","author":"Kim","year":"2021","journal-title":"J. Waterw. Port Coast. Ocean. Eng."},{"key":"ref_42","unstructured":"Nguyen, T.H. (2020). Optimal Operation of Multi-Reservoir System for Flood Control: Application to the Vu Gia Thu Bon Catchment, Vietnam. Construction Hydraulique, Universit\u00e9 C\u00f4te d\u2019Azur. English. NNT: 2020COAZ4027ff."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"127944","DOI":"10.1016\/j.jhydrol.2022.127944","article-title":"Reservoir operation rule in semiarid areas: The quantity-quality approach","volume":"610","author":"Gois","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_44","first-page":"28","article-title":"Surface water resources of virgin and fallow lands development areas. Akmola region of the Kazakh SSR. Hydrometeorological Publishing House","volume":"1","author":"Uryvaeva","year":"1958","journal-title":"Leningrad"},{"key":"ref_45","unstructured":"(2022, March 01). Copernicus Open Access Hub. Available online: https:\/\/scihub.copernicus.eu\/dhus\/#\/home."},{"key":"ref_46","unstructured":"(2022, February 03). PlanetLab. Available online: https:\/\/www.planet.com\/."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI\u2014A normalized difference water index for remote sensing of vegetation liquid water from space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1080\/01431168908903939","article-title":"Digital change detection techniques using remotely sensed data","volume":"10","author":"Singh","year":"1989","journal-title":"Int. J. Remote Sens."},{"key":"ref_49","first-page":"127","article-title":"Estimation of the potential development of floods based on the analysis of long-term time series of RS","volume":"11","author":"Arkhipkin","year":"2014","journal-title":"Mod. Probl. Remote Sens. Earth Space"},{"key":"ref_50","first-page":"22","article-title":"Brief theoretical foundations of radar interferometry and its multipass variations Ps and SBas","volume":"1","author":"Kantemirov","year":"2012","journal-title":"Geomat. J."},{"key":"ref_51","unstructured":"(2022, January 10). ArcGIS Desktop eReference. Available online: https:\/\/desktop.arcgis.com\/ru\/arcmap\/10.3\/guide-books\/map-projections\/geoid.htm."},{"key":"ref_52","unstructured":"(2021, July 20). Instructions for Aerial Photography Using the DJI Phantom 4 Geobox RTK\/PPK UAV. GEOBOX. (In Russian)."},{"key":"ref_53","unstructured":"(2022, April 15). HEC-RAS. Available online: https:\/\/www.hec.usace.army.mil\/software\/hec-ras\/."},{"key":"ref_54","unstructured":"Brunner, G. (2016). HEC-RAS River Analysis System: Hydraulics Reference Manual Version 5.0., US Army Corps of Engineers Hydrological Engineering Center (HEC)."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1080\/09715010.2020.1824621","article-title":"Evaluation of one-dimensional and two-dimensional HEC-RAS models to predict flood travel time and inundation area for flood warning system","volume":"28","author":"Ghimire","year":"2022","journal-title":"ISH J. Hydraul. Eng."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Albo-Salih, H., and Mays, L. (2021). Testing of an Optimization-Simulation Model for Real-Time Flood Operation of River-Reservoir Systems. Water, 13.","DOI":"10.3390\/w13091207"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"315","DOI":"10.2166\/hydro.2022.078","article-title":"A balanced watershed decomposition method for rain-on-grid simulations in HEC-RAS","volume":"24","author":"Hariri","year":"2022","journal-title":"J. Hydroinformatics"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Dasallas, L., Kim, Y., and An, H. (2019). Case Study of HEC-RAS 1D\u20132D Coupling Simulation: 2002 Baeksan Flood Event in Korea. Water, 11.","DOI":"10.3390\/w11102048"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"e12747","DOI":"10.1111\/jfr3.12747","article-title":"A coupled hydrodynamic (HEC-RAS 2D) and water quality model (WASP) for simulating flood-induced soil, sediment, and contaminant transport","volume":"14","author":"Shabani","year":"2021","journal-title":"J. Flood Risk Manag."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Ongdas, N., Akiyanova, F., Karakulov, Y., Muratbayeva, A., and Zinabdin, N. (2020). Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan. Water, 12.","DOI":"10.3390\/w12102672"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.jhydrol.2015.02.049","article-title":"Satellite-derived Digital Elevation Model (DEM) selection, preparation and correction for hydrodynamic modelling in large, low-gradient and data-sparse catchments","volume":"524","author":"Jarihani","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"7358","DOI":"10.1002\/2015WR016954","article-title":"A high-resolution global flood hazard model","volume":"51","author":"Sampson","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1080\/02626667.2019.1671982","article-title":"Comparing 2D capabilities of HEC-RAS and LISFLOOD-FP on complex topography","volume":"64","author":"Shustikova","year":"2019","journal-title":"Hydrol. Sci. J."},{"key":"ref_64","unstructured":"Agabekov, O., Sakenov, S., Sakenov, S., Yesserkepova, I., Kryukova, V., Tonkobayeva, A., Vassilyev, S., and Ayashev, K. (2017). Seventh national Communication and Third Biennial Report of the Republic of Kazakhstan to the Framework Convention on Climate Change, Ministry of Energy of the Republic of Kazakhstan, United Nations Development Programme in Kazakhstan, Global Environment Facility."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1002\/hyp.9370","article-title":"Testing a simple 2D hydraulic model in an urban flood experiment","volume":"27","author":"Dottori","year":"2013","journal-title":"Hydrol. Process."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.apnum.2016.07.003","article-title":"Performances and limitations of the diffusive approximation of the 2-d shallow water equations for flood simulation in urban and rural areas","volume":"116","author":"Costabile","year":"2017","journal-title":"Appl. Numer. Math."},{"key":"ref_67","unstructured":"LLC \u201cWeather Schedule\u201d (2022, March 20). Weather Archive in Nur-Sultan. Available online: Weather archive in Nur-Sultan (rp5.kz)."},{"key":"ref_68","unstructured":"Ghosh, C., and Kolathayar, S. (2022). Hydrodynamic Simulation and Dam-Break Analysis Using HEC-RAS 5, In A System Engineering Approach to Disaster Resilience, Lecture Notes in Civil Engineering, Springer Nature."}],"container-title":["Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-3197\/11\/2\/27\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:25:06Z","timestamp":1760120706000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-3197\/11\/2\/27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,6]]},"references-count":68,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["computation11020027"],"URL":"https:\/\/doi.org\/10.3390\/computation11020027","relation":{},"ISSN":["2079-3197"],"issn-type":[{"value":"2079-3197","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,6]]}}}