Changing Characteristics of the Water Consumption Structure in Nanjing City, Southern China
Abstract
:1. Introduction
2. Study Area
3. Data and Methods
3.1. Data and Sources
3.2. Methods
3.2.1. Information Entropy
3.2.2. Grey Incidence Analysis
4. Results and Discussion
4.1. Analysis of Water Consumption Using Entropy
4.1.1. Changes in the Relative Proportions of Water Consumption Sectors
4.1.2. Information Entropy Analysis for Water Consumption
4.2. Analysis of Driving Forces That Affected Water Consumption
4.2.1. Selection and Calculation of Driving Forces
- (1)
- Factors related to AW consumptionRatio of agricultural output (%):Ratio of irrigation area (%):Per capita food production (ton/person):Ratio of grain crops to economic crops (%):Grain crops include wheat, rice, potato, corn, and soybean in Nanjing.
- (2)
- Factors related to IW consumptionRatio of industrial output (%):Ratio of high water consumption industry (%):Reuse ratio for IW (%):Per ten thousand Yuan industrial output of water consumption (m3/ten thousand Yuan):
- (3)
- Factors related to DW consumptionRatio of third industry output (%):Population density (person/km2):Daily water consumption per capita (m3/personday):Natural population growth rate (%):
- (4)
- Factors related to EW consumptionPer capita disposable income of urban residents (Yuan):GDP growth rate (%):Ratio of urban green coverage (%):Per capita park green area (m2/person):
4.2.2. Analysis of Driving Force Factors by Grey Incidence Analysis
- Grey relational ranking of AW consumption: X13 > X11 > X14 > X12
- Grey relational ranking of IW consumption: X22 > X23 > X21 > X24
- Grey relational ranking of DW consumption: X34 > X31 > X32 > X33
- Grey relational ranking of EW consumption: X42 > X43 > X41 > X44
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Referenced Sequence | Comparison Sequence | N | Mean | SD | Synthetic Incidence Degree |
---|---|---|---|---|---|
Ratio of AW | X11 | 22 | 0.046 | 0.017 | 0.7370 |
X12 | 22 | 0.734 | 0.080 | 0.5494 | |
X13 | 22 | 0.228 | 0.071 | 0.9085 | |
X14 | 22 | 1.197 | 0.650 | 0.6016 | |
Ratio of IW | X21 | 22 | 0.471 | 0.031 | 0.5571 |
X22 | 22 | 0.328 | 0.054 | 0.8948 | |
X23 | 22 | 0.669 | 0.138 | 0.6449 | |
X24 | 22 | 238.863 | 178.781 | 0.5073 | |
Ratio of DW | X31 | 22 | 0.483 | 0.046 | 0.6441 |
X32 | 22 | 883.201 | 70.601 | 0.6374 | |
X33 | 22 | 358.086 | 100.066 | 0.5766 | |
X34 | 22 | 0.025 | 0.011 | 0.6490 | |
Ratio of EW | X41 | 10 | 28,076.2 | 9474.497 | 0.5551 |
X42 | 10 | 0.127 | 0.019 | 0.6439 | |
X43 | 10 | 44.756 | 0.811 | 0.5629 | |
X44 | 10 | 13.620 | 0.853 | 0.5226 |
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Wu, H.; Wang, X.; Shahid, S.; Ye, M. Changing Characteristics of the Water Consumption Structure in Nanjing City, Southern China. Water 2016, 8, 314. https://doi.org/10.3390/w8080314
Wu H, Wang X, Shahid S, Ye M. Changing Characteristics of the Water Consumption Structure in Nanjing City, Southern China. Water. 2016; 8(8):314. https://doi.org/10.3390/w8080314
Chicago/Turabian StyleWu, Hao, Xiaojun Wang, Shamsuddin Shahid, and Mao Ye. 2016. "Changing Characteristics of the Water Consumption Structure in Nanjing City, Southern China" Water 8, no. 8: 314. https://doi.org/10.3390/w8080314