Water Resources Ecological Footprint Based on ARIMA Model

Ankit Singh
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Abstract

: Water resources are an important part of maintaining the normal operation of ecosystems and the normal development of human society. With the continuous development of social economy, water shortage and water pollution have increasingly attracted the attention of the international community. The purpose of this work is to study the prediction of the ecological footprint of water resources based on the ARIMA model. Based on the ecological footprint theory, a water resources ecological footprint prediction model is established to provide specific reference for the planning goals of sustainable water resource utilization in the future. By studying the time series analysis method, that is, using the eviews software to establish a time series analysis model ARIMA (p, d, q) model, a short-term forecast of M province from 2018 to 2021 is made. According to the time series analysis The prediction results of the model ARIMA (4, 1, 2) show that: from 2018 to 2021, the ecological footprint in M province is on the rise, and the water crisis situation will become increasingly severe. The ARIMA model has a good prediction effect.
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基于ARIMA模型的水资源生态足迹研究
水资源是维持生态系统正常运行和人类社会正常发展的重要组成部分。随着社会经济的不断发展,水资源短缺和水污染问题日益引起国际社会的关注。本研究的目的是研究基于ARIMA模型的水资源生态足迹预测。基于生态足迹理论,建立水资源生态足迹预测模型,为未来水资源可持续利用的规划目标提供具体参考。通过研究时间序列分析方法,即利用eviews软件建立时间序列分析模型ARIMA (p, d, q)模型,对M省2018 - 2021年进行短期预测。根据时间序列分析,模型ARIMA(4,1,2)的预测结果表明:2018 - 2021年M省生态足迹呈上升趋势,水危机形势将日益严峻。ARIMA模型具有较好的预测效果。
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