A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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.
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.
Water Requirement in North China from Grey Point Prediction and Grey Interval Prediction
2023
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Prediction of WEEE Recycling in China Based on an Improved Grey Prediction Model
| DOAJ | 2022
Deformation Prediction of Deep Excavation Based on Unequal Interval Grey Model GM(1,1)
| British Library Conference Proceedings | 2010
Grey Interval Model of the Temperature Rise Prediction of Massive Concrete in Construction Process
| British Library Conference Proceedings | 2013
Grey model for asphalt pavement performance prediction
| IEEE | 2004