A generic framework to analyse the spatiotemporal variations of water quality data on a catchment scale

Yang, QinliUniversity of Electronic Science and Technology of China (författare)

Most spatiotemporal studies treat spatial and temporal analysis separately. However, spatial and temporal changes occur simultaneously and are correlated. In this study, we propose a generic framework to simultaneously analyse the spatial and temporal variations of water quality on a catchment scale. Specifically, we analyse the heterogeneity of temporal evolution of water quality data among different sampling sites, and the heterogeneity of spatial distribution of water quality data over different sampling times, respectively, by integrating the techniques of normalized mutual information, dynamic time wrapping and cluster analysis. To bring deep insight into the spatiotemporal variations, inter-change and intra-change are further defined and distinguished, respectively. Taking the Fuxi River catchment as a case study, results indicate that the proposed framework is intuitive and efficient. Beyond this, the generic framework can be expanded for other catchments and various environmental data.

Scholz, MiklasLund University,Lunds universitet,Avdelningen för Teknisk vattenresurslära,Institutionen för bygg- och miljöteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Division of Water Resources Engineering,Department of Building and Environmental Technology,Departments at LTH,Faculty of Engineering, LTH,University of Johannesburg,University of Salford(Swepub:lu)mi6686sc (författare)
Shao, JunmingUniversity of Electronic Science and Technology of China (författare)
Wang, GuoqingNanjing Hydraulic Research Institute (författare)
Liu, XiaofangSichuan University of Science and Engineering (författare)
University of Electronic Science and Technology of ChinaAvdelningen för Teknisk vattenresurslära (creator_code:org_t)

Av författaren/redakt...: Yang, Qinli; Scholz, Miklas; Shao, Junming; Wang, Guoqing; Liu, Xiaofang

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