Analysis of water budget prediction accuracy using ARIMA models

Author:

Birylo M.1,Rzepecka Z.1,Kuczynska-Siehien J.1,Nastula J.2

Affiliation:

1. University of Warmia and Mazury in Olsztyn, Oczapowskiego 2, Olsztyn, Poland

2. Space Research Centre Polish Academy of Science, Bartycka 18A, Warsaw, Poland

Abstract

Abstract The European Union Water Framework Directive obliges each country to monitor the groundwater level as it is an important source of drinking water, but also an important part of agriculture. A water budget is used for assessing the accuracy of the groundwater level determination. The computations of the water budget are based on evapotranspiration and the state of land surface hydrosphere. On the basis of the determined water budget, statistics and the prognosis for the next 12 months can be computed. In this paper, all the components of the water budget, such as precipitation, surface run-off and evapotranspiration, are studied for the three tested locations in Poland: Suwalki, Zegrzynski and Tarnow cells. The resultant water budget was also determined and presented graphically. On the basis of the water budget research, a prognosis was determined using AutoRegressive Integrated Moving Average (ARIMA) models with the parameters (2,0,2). A comparison between actual water budget data and a prediction prepared for 2015.08–2016.08 indicated that analysing a 12-month period provides a satisfactory prediction assessment.

Publisher

IWA Publishing

Subject

Water Science and Technology

Reference19 articles.

1. A regional water balance indicator inferred from satellite images of an Andean endorheic basin in central-western Argentina;Hydrological Sciences Journal,2016

2. Water budget assessment from GLDAS model, oral presentation during ‘Efficient and sustainable water systems management toward worth living development’,2016

3. Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau;J. Geophys. Res. Atmos.,2013

4. Automatic time series forecasting: the forecast package for R;Journal of Statistical Software,2008

5. Evaluation of the global land data assimilation system (GLDAS) air temperature data products;Journal of Hydrometeorology,2015

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3