Quantifying spatiotemporal rhythm of stream metabolism along human disturbance gradients
Küçük Resim Yok
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Edp Sciences S A
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study aimed at investigating the effects of the urban wastewater treatment plant (WTP) discharges on the metabolism of Buyuksu Stream (Bolu, Turkey), and modelling the metabolism components as a function of measured environmental variables. Dissolved oxygen (DO) and water temperatures (T-w) were measured to estimate montly stream metabolism in the four reaches: Before and after discharges of the WTP, and the headwaters of Abant Creek and Mudurnu Creek feeding Buyuksu Stream. The DO andT(w)measurements were performed for 17 months between August 2015 and December 2016. Metabolism components of community respiration (R-c), gross primary production (GPP) and net ecosystem metabolism (NEM) were estimated by using the two-station method. According to naturality gradient (reach disturbance gradients: before and after discharges, and headwaters of the creeks), mean metabolism components were compared by performing the one-way analysis of variance. The comparison results showed that the WTP discharges increased the averageR(c)from -30.6 g O(2)m(-2)day(-1)to -130.9 g O(2)m(-2)day(-1), and had no significant impact on the average GPP, statistically (15.6 and 9.1 g O(2)m(-2)day(-1)before and after discharges, respectively). Validations of the multiple non-linear regression models of NEM andR(c)gave coefficients of determination of 74.9% and 66.6%, respectively. As the first study investigating the effects of WTP discharges on the stream metabolism in Turkey, the results were compared with the previous studies in the literature. The study demonstrated that the WTP discharges increased the mean R(c)from -30.6 g O(2)m(-2)day(-1)to -130.9 g O(2)m(-2)day(-1), and had no significant impact on the mean GPP, statistically (15.6 and 9.1 g O(2)m(-2)day(-1)before and after discharges, respectively). Furthermore, the study aimed at statistical modelling the metabolism rates as a function of measured environmental variables. The multiple non-linear regression models of NEM and R(c)were derived with high validations (R(2)of 74.9% and 66.6%, respectively).
Açıklama
Anahtar Kelimeler
Stream Metabolism, Stream Health, Diel Oxygen Technique, Two-station Method, Wastewater
Kaynak
Annales De Limnologie-International Journal Of Limnology
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
56
