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Assessment of spatiotemporal variations in river water quality for sustainable environmental and recreational management in the highly urbanized Danshui River basin

  • Shih-Kai Chen
  • Cheng-Shin JangEmail author
  • Chia-Yu Chou
Article
  • 36 Downloads

Abstract

Rivers are an important urban resource, and water quality influences the use of river water. Thus, analyzing spatiotemporal variations in river water quality is crucial for sustainable use and management of water resources in a highly urbanized region. This study employed river pollution index (RPI) data obtained in 2013 to assess spatiotemporal variations in river water quality for sustainable environmental and recreational management in the highly urbanized Danshui River basin. First, ordinary kriging was adopted to analyze monthly RPI distributions. Subsequently, different percentiles of monthly estimated RPI distributions were probabilistically determined at a river segment. Finally, three measurement methods of local uncertainty, namely—conditional variance, local entropy, and interquartile range—were used to characterize spatiotemporal variations in river water quality in the Danshui River basin. Assessment results revealed that more highly polluted river water quality resulted in higher seasonal variations. Moreover, high and very high seasonal variations were mainly concentrated in urban river segments, whereas low and very low seasonal variations were primarily located in upstream river segments. Thus, to achieve sustainable development goals, artificial wetlands should be established at downstream and midstream urban riverbanks and urban recreational activities should be developed in upstream riverbank parks in the Danshui River basin before the comprehensive improvement of river water quality.

Keywords

River pollution index Ordinary kriging Local uncertainty River water quality Sustainable development goal 

Notes

Acknowledgments

The authors would like to thank the Taiwan Environmental Protection Administration generously supporting the RPI data in the Danshui River basin, and the Taiwan Ministry of Science and Technology for financially supporting this research under Contract No. MOST 104-2410-H-424-014.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Civil EngineeringNational Taipei University of TechnologyTaipei CityTaiwan
  2. 2.Department of Leisure and Recreation ManagementKainan UniversityTaoyuan CityTaiwan

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