vitoria de Santo antao - PE市降雨预报

Q4 Social Sciences
Ana Luiza Xavier Cunha, Karina Paula Barbosa de Andrade Lima, Romildo Morant De Holanda, Raimundo Mainar De Medeiros, Manoel Vieira De França, Luciano Marcelo Falle Saboya, Alex Souza Moraes, Liliane Guimarães Rocha
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引用次数: 0

摘要

目的:对伯南布哥省Vitória de Santo ant市2019年至2022年的降雨量进行预测。理论框架:数据的平稳性可以用Kwiatkowski, Phillips, Schmidt和Shin (KPSS)检验来评估,趋势可以用Mann-Kendall检验,预测可以用Box-Jenkins方法和模型(ARIMA)来评估。方法:使用的数据是位于自治市的伯南布哥水和气候局(APAC)第26站的降雨记录。分析了1970年至2018年的每日摄入量。采用KPSS、Mann-Kendall和Box-Jenkins检验进行统计分析。结果与结论:1978年、1986年、2000年、2005年和2011年降水量均显著高于平均值,均在1309 mm以上。记录的最小降雨量系列约为300至1000毫米,重点是1995年至2003年和2014年至2018年。根据所获得的结果,得出的结论是,2019年至2022年Vitória de Santo ant市的预测降水量低于平均水平(1309毫米)。研究意义:由于气候变化对水资源的影响对于制定、实施和加强与水资源管理相关的公共政策具有战略意义,因此本研究具有根本性的重要性。独创性/价值:所使用的模型显示出对降水数据的良好调整,可作为改进市政水资源管理的有用和实用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rainfall Forecast for the Municipality of Vitória de Santo Antão – PE
Purpose: Carry out a forecast of rainfall in the municipality of Vitória de Santo Antão, Pernambuco, considering the years 2019 to 2022. Theoretical framework: The stationarity of the data can be evaluated using the Kwiatkowski, Phillips, Schmidt and Shin (KPSS) test, for trends, the Mann-Kendall test, and for forecasting, the Box-Jenkins methodology, with the model (ARIMA). Method: The data used were rainfall records from station 26 of the Pernambuco Water and Climate Agency (APAC), located in the municipality itself. Daily values from 1970 to 2018 were analyzed. Statistical analysis was performed using the KPSS, Mann-Kendall and Box-Jenkins tests. Results and conclusion: It was observed that rainfall significantly above the average occurred in the years 1978, 1986, 2000, 2005 and 2011, all of which were above 1,309 mm. The minimum rainfall series were recorded around 300 to 1,000 mm, with emphasis on the years 1995 to 2003, and between 2014 and 2018. In view of the results obtained, it was concluded that the predicted precipitation values for the municipality of Vitória de Santo Antão for the years 2019 to 2022 were below average (1,309 mm). Research implications: The study is of fundamental importance, as the impacts of climate change on water resources are strategic for the preparation, implementation and strengthening of public policies associated with the management of water resources. Originality/value: The models used showed good adjustment to precipitation data, configuring as a useful and practical tool for improving the management of water resources in the municipality.
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来源期刊
Revista de Gestao Social e Ambiental
Revista de Gestao Social e Ambiental Social Sciences-Geography, Planning and Development
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