{"title":"Forecasting Water-Level Fluctuation in Water-Supply Dams of the Auckland and Waikato Regions","authors":"Pramith Waidyaratne, D. Philips","doi":"10.34074/proc.2206010","DOIUrl":null,"url":null,"abstract":"Dams play a vital role in supplying fresh water to many cities all over the world. With increasing pressure on and demand for natural resources, water supply remains a scarce resource worldwide. During times of uncertainty, predicting the future availability of water supply by considering various hydrometric and anthropogenic variables will provide a framework for future scenario forecasting and a model-based approach to sustainable water management. To this end, this project proposes a multivariate time-series analysis and forecasting model to both analyse and forecast daily water-level fluctuations in three water-supply dams: Upper Nihotupu, Waitākere and Mangatangi, located in the Tāmaki Makaurau Auckland and Waikato regions of Aotearoa New Zealand.","PeriodicalId":103335,"journal":{"name":"Proceedings: Rangahau Horonuku Hou – New Research Landscapes, Unitec/MIT Research Symposium 2021, December 6 and 7","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings: Rangahau Horonuku Hou – New Research Landscapes, Unitec/MIT Research Symposium 2021, December 6 and 7","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34074/proc.2206010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Dams play a vital role in supplying fresh water to many cities all over the world. With increasing pressure on and demand for natural resources, water supply remains a scarce resource worldwide. During times of uncertainty, predicting the future availability of water supply by considering various hydrometric and anthropogenic variables will provide a framework for future scenario forecasting and a model-based approach to sustainable water management. To this end, this project proposes a multivariate time-series analysis and forecasting model to both analyse and forecast daily water-level fluctuations in three water-supply dams: Upper Nihotupu, Waitākere and Mangatangi, located in the Tāmaki Makaurau Auckland and Waikato regions of Aotearoa New Zealand.