罗兹市需水量随大气因子的回归模型

Q4 Mathematics
C. Domański, R. Kubacki
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引用次数: 0

摘要

摘要联合国制定的可持续发展目标之一(目标6)是通过可持续水资源管理为人们提供用水和卫生设施。执行地方当局委托任务的供水公司确保供水系统中有最佳水量。本研究的目的是介绍统计模型的工作结果,该模型确定了2010-2019年波兰罗兹市个别大气因素对水需求的影响。为了建立模型,该研究使用了罗兹市供水和污水处理系统公司(Zakład Wodocińgów i Kanalizacji Sp.z o.o.)的数据,并补充了研究期间的天气条件数据。分析表明,所构建的模型可以根据预期的天气条件进行需水量预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regression model of water demand for the city of Lodz as a function of atmospheric factors
Abstract One of the Sustainable Development Goals (Goal 6) set by the United Nations is to provide people with access to water and sanitation through sustainable water resources management. Water supply companies carrying out tasks commissioned by local authorities ensure there is an optimal amount of water in the water supply system. The aim of this study is to present the results of the work on a statistical model which determined the influence of individual atmospheric factors on the demand for water in the city of Lodz, Poland, in 2010-2019. In order to build the model, the study used data from the Water Supply and Sewage System Company (Zakład Wodociągów i Kanalizacji Sp. z o.o.) in the city of Lodz complemented with data on weather conditions in the studied period. The analysis showed that the constructed models make it possible to perform a forecast of water demand depending on the expected weather conditions.
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来源期刊
Statistics in Transition
Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
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