“…For example, Rossi et al (2015) showed that the combination of snapshot sampling and multivariate statistical methods facilitated classification of boreal springs with respect to water quality and quantity and thus assessment of their vulnerability to changes in land use. Other studies used data from snapshot campaigns for endmember mixing analysis (Barthold et al, 2008;Inamdar et al, 2013;Selle, Schwientek, & Lischeid, 2013) or for analysing how various landscape characteristics, such as land use or land cover (Fischer et al, 2015;Lefebvre et al, 2007;Orlowski, Kraft, Pferdmenges, & Breuer, 2016;Wayland et al, 2003;Whitehead et al, 2015), topography (Likens & Buso, 2006;Lyon et al, 2012;Singh, Emanuel, & McGlynn, 2016;Uchida & Asano, 2010), geology, and soil type (Hindshaw et al, 2011;Kim, Dietrich, Thurnhoffer, Bishop, & Fung, 2017;Soulsby et al, 2007;Zimmer et al, 2013), affect streamwater chemistry.…”