A dynamic bidirectional coupling model for watershed water environment simulation based on the multi-grid technique

Shen, Yanxia; Zhou, Qi; Jiang, Chunbo

doi:10.1016/j.scitotenv.2022.156760

Cited by 3 publications

(4 citation statements)

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“…The area of the basin is defined as the total area projected onto a horizontal plane [20]. Regarding the size of the basin [21] made the classification into three groups: 1) Small Watersheds < 250 km 2 , 2) Medium Watersheds between 250 to 2500 km 2 , 3) Large Watersheds >2500 km 2 . Based on this classification, it turns out that the size of the Golesh Masiff (A = 38.00 km 2 ) belongs to the first group, with a small size.…”

Section: Watershedmentioning

confidence: 99%

Analyzing of Morphometric Parameters and Designing of Thematic Maps Using Raster Geoprocessing Tool

Çadraku

2022

Civ Eng J

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GIS techniques, digital elevation models (DEM), raster geoprocessing tools, and software such as ArcMap are a quick and simultaneous solution for the assessment, measurement, and analysis of morphometric parameters of river basins. This paper aims to show the use of the Digital Elevation Model and the ArcGIS program for the analysis of morphometric parameters and the construction of a set of thematic maps needed for spatial planning, water resources management, and similar purposes. Through these techniques, 18 morphometric parameters were determined and analyzed in the study area, which is located in the central part of the Republic of Kosovo and covers an area of 38 km2, and 15 thematic maps were constructed. The altitude of the area varies from 544 m to 1019 m, the slope from <5% to > 24%, with a total number of stream segments of 601 and a drainage density of 5.02 km/km2. The analysis of morphometric parameters presents an important indicator regarding the space and other elements of the river basin. Doi: 10.28991/CEJ-2022-08-09-06 Full Text: PDF

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Section: Watershedmentioning

confidence: 99%

Analyzing of Morphometric Parameters and Designing of Thematic Maps Using Raster Geoprocessing Tool

Çadraku

2022

Civ Eng J

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“…The spatial scale is a determinant factor to decide which tools to apply in water resources problems such as flood management (Kreibich et al, 2022), flood modeling , and spatial analysis of pollutants transport (Yanxia et al, 2022). Solutions to these problems typically require numerical modeling, and the quality of these models usually depends on data availability and the actual state-of-the-art conceptual models used to express complex phenomena of the water cycle.…”

Section: Introductionmentioning

confidence: 99%

“…Most of these methods require empirical parameters to represent hydraulic conditions, which can increase the complexity of the calibration due to the requirement of substantially more data, especially in poorly gauged catchments (Fu et al, 2019). Some recent examples of the application of 2D water quantity and quality models can be found in and (Yanxia et al, 2022). The research carried out in coupled the Hydrologic Engineering Center -River System Analysis 2D (HEC-RAS 2D) with the Water Quality Analysis Simulation Program (WASP) and the results illustrate an approach of evaluation of the spatial distribution of soil detachment and Total Suspended Solids (TSS) during a flood event.…”

Section: Introductionmentioning

confidence: 99%

“…The research carried out in coupled the Hydrologic Engineering Center -River System Analysis 2D (HEC-RAS 2D) with the Water Quality Analysis Simulation Program (WASP) and the results illustrate an approach of evaluation of the spatial distribution of soil detachment and Total Suspended Solids (TSS) during a flood event. Using a 2D diffusive-wave and advection-diffusion model, (Yanxia et al, 2022) evaluated the concentrations of total phosphorus and total nitrogen. Both aforementioned investigations, however, were feasible to be validated due to extensive available field observations of discharges, concentrations, and pollutant loads.…”

Section: Introductionmentioning

confidence: 99%

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Advances in open source hydroinformatics for flood modeling and disaster education

Gomes Junior

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These almost 4 years have made me face so many varied, complex, and challenging things that I never thought I would be able to face. The pursuit of a doctorate degree made me a better person, not only through the knowledge that I received but also by the life lessons that this journey taught me. By constantly looking for new challenges, methods, visualization tools or even trying to solve sometimes never solved problems, I think my life will never be the same. The concept of what is something difficult has changed. Pursuing a Ph.D. helped me pursue a better life filled with desire, joy, and willingness to become a better person.There must be someone somewhere who gave me the strength and put me in the right place and at the right time multiple times. I thank God for that. If you asked me by the time I finished my undergraduate that I would be able to have a Master's degree and eventually two Ph.D.s, I would say that it was impossible. For God, nothing is impossible if you believe in him and have an open mind enough to face the unknown path under his guidance, even if you are scared.Several important people gave me the tools, strength, and support to cope with such difficult times, especially during the 2020-2022 pandemic. I would like to give a more than special thanks to all the support given by Eudiana Sousa, whom I personally admire and think was fundamental. I have learned a lot from you. I would also like to thank my parents, Edeliar T. Saraiva, and Marcus N. Gomes, my brother Eduardo. T. N. Gomes, and my sister, Ana C. Gomes. Without your support, I would not have been able to.Without agency funding, this research would be impossible. I greatly appreciate the support received from CNPQ, CAPES, FAPESP, and the San Antonio River Authority to partially fund my research. It is relatively unfair to only thank a couple of friends and colleagues who helped me.Therefore, I thank all PPGSHS and CPG, especially Sá, Rose, Tatiana, and César. I also thank the Wadi Lab, and all friends and colleagues that helped during this process. I had excellent talks with professors from USP and UTSA, also during conferences at AGU, EWRI, and SBRH, or even talks during short courses with outstanding professors that inspired me to believe that we can develop highlevel technology in Brazil. However, I need to be specific with some estimated friends and colleagues.My gratitude is infinite toward my supervisors, Dr. Eduardo M. Mendiondo from USP and Dr. Marcio H. Giacomoni from UTSA. Mario always believed in me without any proof at first. He simply gambled in my potential and showed me that somehow he knew more about me than I at the beginning of my academic career. Sometimes we just need someone to push us forward, someone who trusts us and gives us confidence to try to perform our best work. Besides the academia, Mario is a friend, someone that I have the pleasure to say that I can count on not only for my formal education, but also for life in general. Thank you, Mario.Another absolutely great example of guidance and supervision is w...

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HydroPol2D — Distributed hydrodynamic and water quality model: Challenges and opportunities in poorly-gauged catchments

Júnior¹,

Oliveira²,

Rápalo³

et al. 2023

Journal of Hydrology

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A dynamic bidirectional coupling model for watershed water environment simulation based on the multi-grid technique

Cited by 3 publications

References 16 publications

Analyzing of Morphometric Parameters and Designing of Thematic Maps Using Raster Geoprocessing Tool

Analyzing of Morphometric Parameters and Designing of Thematic Maps Using Raster Geoprocessing Tool

Advances in open source hydroinformatics for flood modeling and disaster education

HydroPol2D — Distributed hydrodynamic and water quality model: Challenges and opportunities in poorly-gauged catchments

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