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

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Fältnamn	Indikatorer	Metadata
000		03265naa a2200373 4500
001		oai:lup.lub.lu.se:3d90236f-b8a3-439e-9ede-8f02d3b5bf34
003		SwePub
008		171211s2019 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://lup.lub.lu.se/record/3d90236f-b8a3-439e-9ede-8f02d3b5bf342 URI
024	7	a https://doi.org/10.1016/j.envsoft.2017.11.0032 DOI
040		a (SwePub)lu
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Yang, Qinliu University of Electronic Science and Technology of China4 aut
245	1 0	a A generic framework to analyse the spatiotemporal variations of water quality data on a catchment scale
264	1	b Elsevier BV,c 2019
520		a 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.
650	7	a NATURVETENSKAPx Geovetenskap och miljövetenskapx Oceanografi, hydrologi och vattenresurser0 (SwePub)105092 hsv//swe
650	7	a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Oceanography, Hydrology and Water Resources0 (SwePub)105092 hsv//eng
653		a Cluster analysis
653		a Dynamic time warping
653		a Environmental data
653		a Spatiotemporal analysis
700	1	a Scholz, Miklasu Lund 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 Salford4 aut0 (Swepub:lu)mi6686sc
700	1	a Shao, Junmingu University of Electronic Science and Technology of China4 aut
700	1	a Wang, Guoqingu Nanjing Hydraulic Research Institute4 aut
700	1	a Liu, Xiaofangu Sichuan University of Science and Engineering4 aut
710	2	a University of Electronic Science and Technology of Chinab Avdelningen för Teknisk vattenresurslära4 org
773	0	t Environmental Modelling and Softwared : Elsevier BVg 122q 122x 1364-8152
856	4	u http://dx.doi.org/10.1016/j.envsoft.2017.11.003y FULLTEXT
856	4 8	u https://lup.lub.lu.se/record/3d90236f-b8a3-439e-9ede-8f02d3b5bf34
856	4 8	u https://doi.org/10.1016/j.envsoft.2017.11.003

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

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NATURVETENSKAP: NATURVETENSKAP; och Geovetenskap och ...; och Oceanografi hydr ...

Artiklar i publikationen: Environmental Mo ...

Av lärosätet: Lunds universitet

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