A SAFSA- and Metabolism-Based Nonlinear Grey Bernoulli Model for Annual Water Consumption Prediction

2020 ◽  
Vol 44 (2) ◽  
pp. 755-765 ◽  
Author(s):  
Yanbin Yuan ◽  
Qian Li ◽  
Xiaohui Yuan ◽  
Xiang Luo ◽  
Suoxuan Liu
Keyword(s):  
Water Consumption ◽  
Bernoulli Model ◽  
Annual Water ◽  
Consumption Prediction

scholarly journals Examination of Sustainable Water Management at Norway’s Major Hub Airport: The Case of Oslo Airport Gardermoen

2021 ◽  
Vol 2 (4) ◽  
pp. 1-1
Author(s):  
Glenn Baxter ◽  
Keyword(s):  
Water Management ◽  
Water Consumption ◽  
Management Practices ◽  
Longitudinal Research ◽  
Drainage Water ◽  
Water Volume ◽  
Research Approach ◽  
Sustainable Water Management ◽  
Annual Water ◽  
Hub Airport

The present study used a detailed qualitative longitudinal research approach to examine the trends of water consumption, wastewater volumes, and drainage water volumes in Oslo Airport Gardermoen, which is Norway’s major hub airport, between the years 2005 and 2020. An overall upward trend was observed in the water consumption at Oslo Airport Gardermoen, which was consistent with the growth in air traffic and aircraft movements during the study period. The annual water consumption per enplaned passenger was observed to fluctuate during the study period. While the lowest water consumption per passenger (8 liters per passenger) was recorded in 2008, the highest levels (14.6 liters per passenger) were recorded in 2020. The annual water consumption (cubic meter per aircraft movement) increased during the study period, which was consistent with the growth in aircraft movements and the use of larger aircraft. The annual wastewater volume generally increased during the study period, while the annual drainage water volume fluctuated remarkably during the study period, with the latter reflecting varying drainage patterns at the airport. Oslo Airport Gardermoen has implemented a range of sustainable water management practices to supplement its existing water management practices and policies.

Application of fractional order-based grey power model in water consumption prediction

2019 ◽  
Vol 78 (8) ◽  
Author(s):  
Yanbin Yuan ◽  
Hao Zhao ◽  
Xiaohui Yuan ◽  
Liya Chen ◽  
Xiaohui Lei
Keyword(s):  
Fractional Order ◽  
Water Consumption ◽  
Power Model ◽  
Consumption Prediction

COMPARATIVE ASSESSMENT OF THE INTRA-ANNUAL WATER RUNOFF DISTRIBUTION OF THE RIVERS THE ROS AND UBORT

2020 ◽  
pp. 72-80
Author(s):  
O. A. Chunarov
Keyword(s):  
Initial Data ◽  
Water Content ◽  
River Water ◽  
Water Consumption ◽  
River Runoff ◽  
River Basins ◽  
Comparative Assessment ◽  
Water Runoff ◽  
Annual Water ◽  
Annual Distribution

The article examines the intra-annual distribution of water runoff of the Ros and Ubort rivers, as well as its comparative assessment. The rivers Ros and Ubort were chosen for further research, because according to geographical conditions, river basins belong to natural and regulated water bodies. The rivers Ros and Ubort are characterized by summer-autumn and winter lows, which are disturbed by separate rises in water levels during rains or melting snow. The formation of the main part of river runoff is due to spring flooding. The initial data for studying the intra-annual distribution of runoff were the data of average annual water flow in the confluence of the rivers Ros and Ubort, namely: the river Ros – Korsun-Shevchenkivsky and the river Ubort – Perga for the entire period of hydrological observations. The initial data are the average annual water consumption of the closing sections of the Ros and Ubort rivers for the entire observation period. To confirm (or refute) the changes in the water content of the studied rivers, the homogeneity of some of their runoff characteristics was analyzed by different methods. Statistical methods for estimating the homogeneity of hydrological series are used for quantities that are random and internally independent. The homogeneity of the series of average annual water consumption over a multi-year period is estimated according to the current hydrological posts of the basins of the rivers Ros and Ubort. The analysis of previous publications on the intra-annual distribution of river water runoff for the territory of the studied river basins, the influence of climatic factors on the change of river runoff, as well as summarizes the results of these studies. The intra-annual distribution of river water runoff for years of different water content and separate phases for the basins of both studied rivers is calculated by the season composition method. The comparative characteristics of the obtained results are carried out and the common hydrological characteristics and significant differences in the studied river basins are revealed.

scholarly journals Analysis of dynamic evolution and driving factors behind water consumption in China

2017 ◽  
Vol 18 (3) ◽  
pp. 1093-1102 ◽  
Author(s):  
Subing Lü ◽  
Fuqiang Wang ◽  
Yumin Yu ◽  
Huayu Zhong ◽  
Shiguo Xu
Keyword(s):  
Water Consumption ◽  
Food Production ◽  
Principal Component ◽  
Driving Factors ◽  
National Scale ◽  
Consumption System ◽  
Shape Curve ◽  
Two Stages ◽  
Urban Consumption ◽  
Consumption Prediction

Abstract The water consumption system is a typical dissipative structure system, and its evolution can be described with information entropy. Meanwhile understanding the principal driving factors in the evolution of water consumption is essential for water consumption prediction and management. Firstly, the information entropies of water consumption in China were calculated from 1997 to 2010. Secondly, the principal driving factors were extracted using principal component analysis. Finally, based on the principal driving factors, the water consumption system was predicted. The results showed that the entropies can be divided into two stages: an entropy increasing period (1997–2002) and an entropy convergence period (2003–2010). On a national scale, the entropies in the majority of provinces are focused between 0.6 and 1.1. The principal driving factors were population, gross domestic product, food production, command irrigation area, and urban consumption levels. Chinese water consumption structure will develop an inverted ‘U’-shape curve and water consumption levels are expected to plateau during 1997 to 2020. The system is gradually becoming more orderly through coordination and self-organization.

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