{"title":"研究了在整个区域范围内Φ值在α频率计算中的P-Ⅲ分布的方法","authors":"Song Qifeng , Chen Xi , Zhang Zhicai","doi":"10.1016/j.jhydrol.2025.133360","DOIUrl":null,"url":null,"abstract":"<div><div>The frequency computation of the P-Ⅲ distribution plays a pivotal role in various applications such as rainfall estimation, flood forecasting, and ecological flow analysis across various countries. The determination of Φ values stands as the crux of this computation. Traditionally, Φ values are derived through interpolation from a table, which introduces computational inaccuracies due to the complexity involved. To address this, an improved high-precision numerical integration algorithm has been developed. This enhanced method segments the integration interval into three distinct parts. It employs a series expansion, substitution, and continued fraction techniques to perform numerical integration across these segments, thereby obtaining Φ values for α values in the range just above zero to 100. It resolves the issue of slow convergence at the critical point x = α + 1. For α values between 100 and 1600, the distribution function is meticulously constructed, and Φ values are calculated using both the improved high-precision numerical integration algorithm and the constructed distribution function. It tackles the data overflow issue when α is greater than 100.When α exceeds 1600, an approximate function method is utilized to determine Φ values. By employing this comprehensive approach, a full-range calculation method for Φ values of the P-Ⅲ distribution is established. The accuracy of this method is validated by comparing its results with established truth values, revealing that the method’s calculations match the truth values to three decimal places. The method not only boasts high accuracy but also exhibits swift computational speed, making it a viable alternative to traditional Φ value tables and improving the accuracy of the calculation of the P-III distribution frequency curve in the field of hydrology.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"661 ","pages":"Article 133360"},"PeriodicalIF":5.9000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The study of the method for the Φ values across the entire regional range of α in the frequency calculation of the P-Ⅲ distribution\",\"authors\":\"Song Qifeng , Chen Xi , Zhang Zhicai\",\"doi\":\"10.1016/j.jhydrol.2025.133360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The frequency computation of the P-Ⅲ distribution plays a pivotal role in various applications such as rainfall estimation, flood forecasting, and ecological flow analysis across various countries. The determination of Φ values stands as the crux of this computation. Traditionally, Φ values are derived through interpolation from a table, which introduces computational inaccuracies due to the complexity involved. To address this, an improved high-precision numerical integration algorithm has been developed. This enhanced method segments the integration interval into three distinct parts. It employs a series expansion, substitution, and continued fraction techniques to perform numerical integration across these segments, thereby obtaining Φ values for α values in the range just above zero to 100. It resolves the issue of slow convergence at the critical point x = α + 1. For α values between 100 and 1600, the distribution function is meticulously constructed, and Φ values are calculated using both the improved high-precision numerical integration algorithm and the constructed distribution function. It tackles the data overflow issue when α is greater than 100.When α exceeds 1600, an approximate function method is utilized to determine Φ values. By employing this comprehensive approach, a full-range calculation method for Φ values of the P-Ⅲ distribution is established. The accuracy of this method is validated by comparing its results with established truth values, revealing that the method’s calculations match the truth values to three decimal places. The method not only boasts high accuracy but also exhibits swift computational speed, making it a viable alternative to traditional Φ value tables and improving the accuracy of the calculation of the P-III distribution frequency curve in the field of hydrology.</div></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"661 \",\"pages\":\"Article 133360\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022169425006985\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425006985","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
The study of the method for the Φ values across the entire regional range of α in the frequency calculation of the P-Ⅲ distribution
The frequency computation of the P-Ⅲ distribution plays a pivotal role in various applications such as rainfall estimation, flood forecasting, and ecological flow analysis across various countries. The determination of Φ values stands as the crux of this computation. Traditionally, Φ values are derived through interpolation from a table, which introduces computational inaccuracies due to the complexity involved. To address this, an improved high-precision numerical integration algorithm has been developed. This enhanced method segments the integration interval into three distinct parts. It employs a series expansion, substitution, and continued fraction techniques to perform numerical integration across these segments, thereby obtaining Φ values for α values in the range just above zero to 100. It resolves the issue of slow convergence at the critical point x = α + 1. For α values between 100 and 1600, the distribution function is meticulously constructed, and Φ values are calculated using both the improved high-precision numerical integration algorithm and the constructed distribution function. It tackles the data overflow issue when α is greater than 100.When α exceeds 1600, an approximate function method is utilized to determine Φ values. By employing this comprehensive approach, a full-range calculation method for Φ values of the P-Ⅲ distribution is established. The accuracy of this method is validated by comparing its results with established truth values, revealing that the method’s calculations match the truth values to three decimal places. The method not only boasts high accuracy but also exhibits swift computational speed, making it a viable alternative to traditional Φ value tables and improving the accuracy of the calculation of the P-III distribution frequency curve in the field of hydrology.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.