Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China
Abstract
:1. Introduction
2. Study Methods and Data Sources
2.1. Data Sources and Indicator Selection
2.1.1. Data on Urban Black and Odorous Waters in China
2.1.2. Data on Social and Economic Development
2.1.3. Data of Basic Geographic Information of Chinese Map
2.2. Study Methods
2.2.1. Nearest Neighbor Index
2.2.2. Kernel Density Estimation
2.2.3. Spatial Correlation Analysis
2.2.4. Geodetector Method
3. Results
3.1. Spatial Differentiation Characteristics
3.1.1. Regional Distribution Characteristics
3.1.2. Spatial Type Characteristics
3.1.3. Spatial Density Characteristics
3.1.4. Spatial Correlation Characteristics
3.2. Factors Influencing Spatial Characteristics
4. Discussion
4.1. Spatial Characteristics Promote Top-Level System Design for the Treatment of Black and Odorous Waters
4.2. Influencing Factors Are an Important Point of Breakthrough in Treating Black and Odorous Waters
4.3. Limitations of the Study
5. Conclusions
- (1)
- Urban black and odorous waters varied in amount and agglomerated in type. The number of urban black and odorous waters showed differences across the various local areas, regions, and urban agglomerations of China. Their spatial distribution was an agglomerated type, with significant agglomeration.
- (2)
- Urban black and odorous waters showed significant kernel density and spatially-related features. Concerning the spatial distribution of urban black and odorous waters in China, the kernel density showed two independent single-kernel centers, with ribbon-like and sporadic distribution of subcenters. Different types of black and odorous waters had significantly different kernel density centers and kernel density values. The spatial correlation characteristics showed particularity. Except for severely affected waters and those in ponds lacking spatial correlation, all the remaining types of waters were spatially positively correlated. The cold and hot spots showed a gradient distribution pattern of cold in southwest and hot in central-east, with relatively high stability and continuity and considerable polarization between the east and west.
- (3)
- The contribution of the factors to the characteristics of urban black and odorous waters varies according to the division of areas. On a national scale, the geodetection of spatial distribution characteristics revealed a few core influencing factors, which had relatively weak contributions. After different divisions of the study areas, the detection results highlighted the spatial differences in the contribution of influencing factors to the spatial distribution characteristics and the matching of important core influencing factors.
- (4)
- The spatial distribution characteristics of urban black and odorous waters has prominent contributing factors. The important core factors influencing the spatial distribution characteristics of black and odorous waters in China were total wastewater discharge, length of urban drainage pipelines, municipal solid waste collection, daily sewage treatment capacity, and investment in industrial pollution treatment of wastewater. The detection factors influence the formation and development of urban black and odorous waters, while providing a path for the protection and treatment of urban black and odorous waters in China.
- (5)
- The research results can be used to help the Chinese government to introduce and implement measures to treat the pollution of black and odorous waters. First of all, each city should establish the information database of urban black and odorous waters and make sure that the mayor is the first responsible person for the treatment. In addition, a one-year special campaign will be carried out in the areas of high kernel density and hot spots in urban black and odorous waters and gradually promoted to the whole country. Besides, the core influencing factors of urban black and odorous waters are checked and optimized or eliminated. What is more, the government will regularly announce the treatment of urban black and odorous waters to the public. Finally, researchers are encouraged to carry out more scientific research on urban black and odorous waters.
Author Contributions
Funding
Conflicts of Interest
References
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Detection Factor | Detection Indicator | Unit | Factor Interpretation |
---|---|---|---|
X1 | Urban population density | Persons/square kilometer | The population living in a unit area of the city |
X2 | Per capita gross domestic product (GDP) | Chinese Yuan | The ratio of the total GDP achieved during the accounting period to the resident population within the same range |
X3 | Per capita water resources | Cubic meters/person | The total amount of surface and ground water formed by precipitation that each person possesses on average during the accounting period in a region. |
X4 | Per capita water consumption | Cubic meters/person | The average daily gross water consumption by all types of water users, including water loss from transportation |
X5 | Total wastewater discharge | 10,000 tons | The total amount of water discharged by industry, tertiary industry, and residents’ life |
X6 | Municipal solid waste collection | 10,000 tons | The amount of municipal solid wastes collected and transported to the treatment plants (sites) and the final disposal sites during the accounting period |
X7 | Length of urban drainage pipelines | 1000 m | The sum of the lengths of all drainage pipelines (header, trunk, and branch) and the inlet and outlet of connection wells |
X8 | Daily urban sewage treatment capacity | 10,000 square meters | The designed volume capacity of sewage treatment plants (or sewage treatment devices) for sewage treatment every day and night |
X9 | Investment in industrial pollution treatment of wastewater | 10,000 Chinese Yuan | The investment implemented during the accounting period for the treatment of wastewater produced by industrial pollution |
Type | Z Score | |||
---|---|---|---|---|
Total | 0.1416 | 5.4406 | 35.6159 | −75.2148 |
Severe | 0.1442 | 7.0744 | 49.0548 | −43.6546 |
Mild | 0.1713 | 7.5039 | 43.8034 | −59.0421 |
In rivers | 0.1645 | 6.3434 | 38.5477 | −67.6384 |
In lakes | 0.4057 | 40.7569 | 100.4487 | −11.5377 |
In ponds | 0.2463 | 21.5539 | 87.4984 | −20.5932 |
Factor | Nationwide | East | Central | West | South | North | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
q | p | q | p | q | p | q | p | q | p | q | p | |
X1 | 0.0297 | 0.6625 | 0.0816 | 0.7637 | 0.1431 | 0.6738 | 0.0578 | 0.8150 | 0.2341 | 0.3513 | 0.1018 | 0.5081 |
X2 | 0.0346 | 0.7205 | 0.2287 | 0.4304 | 0.1907 | 0.6132 | 0.1626 | 0.5891 | 0.1135 | 0.6917 | 0.0400 | 0.8459 |
X3 | 0.0355 | 0.3194 | 0.0897 | 0.7873 | 0.3276 | 0.3272 | 0.0713 | 0.4709 | 0.0828 | 0.3172 | 0.0891 | 0.5576 |
X4 | 0.1177 | 0.1831 | 0.1830 | 0.7537 | 0.3677 | 0.2935 | 0.0775 | 0.7617 | 0.0458 | 0.7768 | 0.1487 | 0.3667 |
X5 | 0.3402 | 0.4670 | 0.6516 | 0.3129 | 0.4155 | 0.3946 | 0.8886 | 0.0272 | 0.4324 | 0.5698 | 0.5127 | 0.1521 |
X6 | 0.3683 | 0.3598 | 0.6226 | 0.3560 | 0.3974 | 0.3988 | 0.8850 | 0.0297 | 0.5104 | 0.4074 | 0.2348 | 0.7167 |
X7 | 0.4189 | 0.0734 | 0.8556 | 0.0057 | 0.4675 | 0.1777 | 0.9073 | 0.0162 | 0.4655 | 0.2605 | 0.5121 | 0.2651 |
X8 | 0.2690 | 0.3532 | 0.6177 | 0.1690 | 0.5379 | 0.4935 | 0.8849 | 0.0297 | 0.4770 | 0.2350 | 0.3484 | 0.2036 |
X9 | 0.2952 | 0.2197 | 0.3806 | 0.3927 | 0.4459 | 0.6394 | 0.2854 | 0.4354 | 0.1440 | 0.7658 | 0.3510 | 0.5920 |
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Chen, G.; Luo, J.; Zhang, C.; Jiang, L.; Tian, L.; Chen, G. Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China. Sustainability 2018, 10, 4747. https://doi.org/10.3390/su10124747
Chen G, Luo J, Zhang C, Jiang L, Tian L, Chen G. Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China. Sustainability. 2018; 10(12):4747. https://doi.org/10.3390/su10124747
Chicago/Turabian StyleChen, Guolei, Jing Luo, Chunyan Zhang, Liang Jiang, Lingling Tian, and Guangping Chen. 2018. "Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China" Sustainability 10, no. 12: 4747. https://doi.org/10.3390/su10124747
APA StyleChen, G., Luo, J., Zhang, C., Jiang, L., Tian, L., & Chen, G. (2018). Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China. Sustainability, 10(12), 4747. https://doi.org/10.3390/su10124747