Next Article in Journal
From Health Technology Assessment to Health Technology Sustainability
Next Article in Special Issue
Is Big Good or Bad?: Testing the Performance of Urban Growth Cellular Automata Simulation at Different Spatial Extents
Previous Article in Journal
Dynamics of Cooperation in Minority Games in Alliance Networks
Previous Article in Special Issue
Seasonal Urban Carbon Emission Estimation Using Spatial Micro Big Data
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(12), 4747; https://doi.org/10.3390/su10124747

Characteristics and Influencing Factors of Spatial Differentiation of Urban Black and Odorous Waters in China

1,2,†
,
1,2,†
,
1,2,* , 1,2
,
1,2
and
1,2
1
Key Laboratory of Hubei Province, Analysis and Simulation of Geographic Process, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
2
The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 14 November 2018 / Revised: 7 December 2018 / Accepted: 10 December 2018 / Published: 12 December 2018
(This article belongs to the Special Issue Spatial Analysis of Urbanization towards Urban Sustainability)
Full-Text   |   PDF [3397 KB, uploaded 17 December 2018]   |  

Abstract

The pollution problem caused by urban black and odorous waters has received much attention from the Chinese government. Our research aims at systematically identifying the characteristics and the influential factors of spatial differentiation of urban black and odorous waters across China. The research, based on the data of 2100 black and odorous waters in China, was conducted with the spatial analysis tool of ArcGIS. We found that the amount of Chinese urban black and odorous waters varied in spatial distribution, which was an agglomerated type with significant agglomeration. The kernel density was characterized by independent single kernel centers with ribbon-like and sporadic distributions of subcenters. The cold and hot spots showed a gradient distribution pattern of cold in the southwest and hot in the central east. These spatial distribution characteristics could be attributed to the following core factors, total wastewater discharge, length of urban drainage pipelines, municipal solid waste collection, daily urban sewage treatment capacity, and investment in urban pollution treatment of wastewater. The findings reveal the current geospatial distribution of black and odorous waters pollution and provide reference for the Chinese government to treat the pollution from several key points. Lastly, it is suggested that the Chinese government should establish joint control, joint prevention, and joint treatment mechanisms in the black and odorous waters areas and improve the safety standards of the whole water environment, so as to promote the treatment and elimination of urban black and odorous waters. View Full-Text
Keywords: water pollution; urban black and odorous water; spatial differentiation; geodetector; influencing factor water pollution; urban black and odorous water; spatial differentiation; geodetector; influencing factor
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top