Modelling of THM formation potential and DOM removal based on drinking water catchment characteristics.

Catchment properties influence the character and concentration of dissolved organic matter (DOM). Surface and subsurface runoff from discrete catchments were collected and DOM was measured and assessed in terms of its treatability by Enhanced Coagulation and potential for disinfection by-product (trihalomethane, THMFP) formation potential. Models were developed of [1] DOM character [i.e. SUVA and SpCoL] and concentration (measured as dissolved organic carbon), [2] treatability of DOM by coagulation/flocculation processes and [3] specific THMFP based on the catchment features including: (a) surface and sub-surface soil texture (% clay: 5-25%), (b) topography (% slope: 5-15%) and (c) vegetation cover [i.e. high photosynthetic vegetation, low photosynthetic vegetation and bare soil] extracted from RapidEye satellite imagery using spectral mixture analysis. From these models, a catchment management decision support tool was designed for application by catchment managers to support decision-making of land-use and expected water quality related to water resources for drinking water supply. SOFTWARE AND DATA AVAILABILITY: Data sets used for models developing presented in this paper have been published in Research Data Australia (RDA) under the title of "Impacts of catchment properties on DOM and nutrients in waters from drinking water catchments".1 These data sets are available in open access and published in June 2017. A catchment management decision support model (CMDSM) tool was developed. Macros created using Visual Basic for Applications in Excel 2010. Excel 2010 or higher is required to open the CMDSM tool. The tool is provided by the University of South Australia (UniSA) and is not currently available on-line so please contact the corresponding author for access or further information.

Response styles, bipolar risk, and mood in students: The Behaviours Checklist.

OBJECTIVES: An Integrative Cognitive Model of mood swings and bipolar disorder proposes that extreme positive and negative appraisals about internal states trigger ascent and descent behaviours, contributing to the onset and maintenance of mood swings. This study investigated the reliability and validity of a new inventory, the Behaviours Checklist (BC), by measuring associations with appraisals, response styles to positive and negative affect, bipolar risk, mania, and depression. DESIGN: Correlational analogue study. METHODS: Students (N = 134) completed the BC alongside measures of appraisals, response styles to positive and negative mood, mania, depression, and hypomanic personality (bipolar risk). RESULTS: The BC was of adequate reliability and showed good validity. Ascent behaviours and appraisals predicted bipolar risk, whereas descent behaviours and appraisals were associated with depression. CONCLUSIONS: Appraisals, ascent, and descent behaviours may play an important role in the development and maintenance of mood swings. Limitations and research recommendations are outlined. PRACTITIONER POINTS: Extreme positive and negative appraisals of internal states, and subsequent behavioural responses (ascent and descent behaviours), are associated with bipolar risk and bipolar mood symptoms in a student sample. These processes are involved with mood dysregulation in clinical populations as well as bipolar risk in students, with implications for mood management.