LBEF Campus, Nepal
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.
ARIMA Model, Ecological Footprint, Water Resource Analysis, Predictive Analysis
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