Water Requirement in North China from Grey Point Prediction and Grey Interval Prediction

Author:

Wu Lifeng12ORCID,Meng Yuan123

Affiliation:

1. School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056038, China

2. Hebei Key Laboratory of Intelligent Water Conservancy, Hebei University of Engineering, Handan 056038, China

3. School of Materials Science and Engineering, Hebei University of Engineering, Handan 056038, China

Abstract

Since the implementation of the sustainable development strategy, China has made great efforts to save water resources. Therefore, effective prediction and analysis of regional water consumption are very important for the regional economy. In order to forecast the water requirement of the five provinces in North China, the DGMC(1,2) model is proposed to predict the point value of water requirement by considering the three industries and the population. The results turn out that DGMC(1,2) model is an efficient way of predicting water requirements. In addition, the interval value of water requirement is predicted by the establishment of the interval DGMC(1,2) model. According to the prediction results, the variation trend of water requirement in each region is analyzed in detail, and the corresponding suggestions are put forward. The results can have practical value and be used for policy-making.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

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