{"title":"用于流域尺度水文模型优化的遗传算法新型降雨分布方法","authors":"Charalampos Skoulikaris, Nikolaos Nagkoulis","doi":"10.2166/hydro.2024.224","DOIUrl":null,"url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"hydro-d-23-00224gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"hydro-d-23-00224gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>Rainfall has a dominant role in rainfall-runoff models, with the rendering of these models depending on the data accuracy and on the way that rainfall is spatially allocated. The research proposes a methodological framework where a genetic algorithm (GA)-based method responsible for the spatial distribution of gauge observations at the basin scale is coupled with the HEC-HMS hydrological model to produce simulated discharges of high accuracy. The custom-developed GA is used to divide a 2D space, adhering to specific criteria, into polygonal geometries that represent gauge zones of influences, similar to the Thiessen polygon method concept. A collection of vectorial polygonal areas, equivalent in number to the employed monitoring stations, is produced with the areal weights to be used for distributing the rainfall across the case study basin and subsequently to force the hydrological simulations. The generated gauge weights are validated for a different temporal precipitation event. The final outputs expressed through a series of statistical measures, clearly demonstrate the effectiveness of the specific methodology (e.g. <em>R</em><sup>2</sup> and Nash–Sutcliffe are larger than 0.83 and 0.73). The methodology can foster accurate hydrological simulations, especially in cases where there is a limited number of rainfall stations and corresponding observations.</p>","PeriodicalId":54801,"journal":{"name":"Journal of Hydroinformatics","volume":"55 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A genetic algorithm's novel rainfall distribution method for optimized hydrological modeling at basin scales\",\"authors\":\"Charalampos Skoulikaris, Nikolaos Nagkoulis\",\"doi\":\"10.2166/hydro.2024.224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div data- reveal-group-><div><img alt=\\\"graphic\\\" data-src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\" path-from-xml=\\\"hydro-d-23-00224gf01.tif\\\" src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\\\"data-reveal\\\"><div><img alt=\\\"graphic\\\" data-src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\" path-from-xml=\\\"hydro-d-23-00224gf01.tif\\\" src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jh/26/6/10.2166_hydro.2024.224/1/m_hydro-d-23-00224gf01.png?Expires=1722776541&Signature=WUW83ZFchbelEpC~92sxSdnRMa9uT2LOf9eonalq81ChFe-N-j-Vqx-JFPu3xykBHFSaO67QRTHfWGOnXXxzOKJluLqPpyK0~F~RUa20tz~x7BvayLefVcuLsw8nIY~YgCUMzs-U1XcZZbq92bL7EEjluqvefzIOp-f4dFwHsBwYS89zE-QGkjkVF58vi8CXv5U6Aj7lmy-1GPTdBtBNp4~IU1yp5qctP5q4vaDmmVCGdV8YAEqSHCTYzn6JXYWmtmLywQjOtixtgtePULNM-IPmUr7RFhvYfO5rJMtiEUVvD7OYfy7EaRX~8uP2HnwmjgvViRI5xmThUkBioXfWXA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>Rainfall has a dominant role in rainfall-runoff models, with the rendering of these models depending on the data accuracy and on the way that rainfall is spatially allocated. The research proposes a methodological framework where a genetic algorithm (GA)-based method responsible for the spatial distribution of gauge observations at the basin scale is coupled with the HEC-HMS hydrological model to produce simulated discharges of high accuracy. The custom-developed GA is used to divide a 2D space, adhering to specific criteria, into polygonal geometries that represent gauge zones of influences, similar to the Thiessen polygon method concept. A collection of vectorial polygonal areas, equivalent in number to the employed monitoring stations, is produced with the areal weights to be used for distributing the rainfall across the case study basin and subsequently to force the hydrological simulations. The generated gauge weights are validated for a different temporal precipitation event. The final outputs expressed through a series of statistical measures, clearly demonstrate the effectiveness of the specific methodology (e.g. <em>R</em><sup>2</sup> and Nash–Sutcliffe are larger than 0.83 and 0.73). The methodology can foster accurate hydrological simulations, especially in cases where there is a limited number of rainfall stations and corresponding observations.</p>\",\"PeriodicalId\":54801,\"journal\":{\"name\":\"Journal of Hydroinformatics\",\"volume\":\"55 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydroinformatics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.2166/hydro.2024.224\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydroinformatics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.2166/hydro.2024.224","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A genetic algorithm's novel rainfall distribution method for optimized hydrological modeling at basin scales
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Rainfall has a dominant role in rainfall-runoff models, with the rendering of these models depending on the data accuracy and on the way that rainfall is spatially allocated. The research proposes a methodological framework where a genetic algorithm (GA)-based method responsible for the spatial distribution of gauge observations at the basin scale is coupled with the HEC-HMS hydrological model to produce simulated discharges of high accuracy. The custom-developed GA is used to divide a 2D space, adhering to specific criteria, into polygonal geometries that represent gauge zones of influences, similar to the Thiessen polygon method concept. A collection of vectorial polygonal areas, equivalent in number to the employed monitoring stations, is produced with the areal weights to be used for distributing the rainfall across the case study basin and subsequently to force the hydrological simulations. The generated gauge weights are validated for a different temporal precipitation event. The final outputs expressed through a series of statistical measures, clearly demonstrate the effectiveness of the specific methodology (e.g. R2 and Nash–Sutcliffe are larger than 0.83 and 0.73). The methodology can foster accurate hydrological simulations, especially in cases where there is a limited number of rainfall stations and corresponding observations.
期刊介绍:
Journal of Hydroinformatics is a peer-reviewed journal devoted to the application of information technology in the widest sense to problems of the aquatic environment. It promotes Hydroinformatics as a cross-disciplinary field of study, combining technological, human-sociological and more general environmental interests, including an ethical perspective.