Abiotic influences on dissolved oxygen in a riverine environment

摘要: Abstract Dissolved oxygen (DO) is an important parameter in riverine health. Periphyton and/or macrophytes are frequently the drivers behind fluctuation of DO levels aquatic environments; however, effects abiotic and biotic factors on biomass turn may be variable from river to river. The objective this paper understand which govern terms daily minimum (DOmin) variation (ΔDO) a major wastewater-impacted using statistical data analysis modeling. Both climatic conditions (reflected water temperature) hydrometric (flow) were influencing DOmin ΔDO. effect flow ΔDO was discontinuous, depending magnitude. Nutrient loading wastewater effluent not identified have significant impact basis; their role over large time scales unclear. In data-driven modeling approaches, non-linear approach multiple-layer perceptron neural network, has very flexible architecture, superior linear used (multiple regression). Although nutrients likely related ΔDO, temperature sufficient obtain robust prediction This useful model complicated processes when governing mechanisms well presented conceptual- or physically based models.