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Water 2017, 9(9), 708; https://doi.org/10.3390/w9090708

A Novel Calendar-Based Method for Visualizing Water Quality Change: The Case of the Yangtze River 2006–2015

1
School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China
2
The Bartlett Centre for Advanced Spatial Analysis, University College London, London WC1E 6BT, UK
3
Network Information Center, Changjiang Water Resource Committee, Wuhan 430010, China
*
Author to whom correspondence should be addressed.
Received: 17 August 2017 / Revised: 10 September 2017 / Accepted: 13 September 2017 / Published: 15 September 2017
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Abstract

Mapping water quality change is helpful in the study of the water environment of a region. Using visual methods, interpretation of water condition and pollution issues can be intuitive and easy to understand. In this paper, we present a map to represent the spatial and temporal variation of water quality change in the Yangtze River during the period from 2006 to 2015. The calendar view was developed to explore the water quality condition and water pollutants for sections of the Yangtze River. A “W” construction was proposed to arrange the weekly water quality data in a continuous logic, and qualitative colors were designed to identify the change in major pollutants throughout the period. This map provides a promising visual analytical approach to investigate the water quality status and reveal the spatial and temporal patterns of water quality change in the Yangtze River. View Full-Text
Keywords: water quality; spatial and temporal variation; visualization; Yangtze River water quality; spatial and temporal variation; visualization; Yangtze River
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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).

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Huang, L.; Zhong, M.; Gan, Q.; Liu, Y. A Novel Calendar-Based Method for Visualizing Water Quality Change: The Case of the Yangtze River 2006–2015. Water 2017, 9, 708.

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