Naslov
Assessment of Proper Wastewater Treatment Level according to Marine Ecosystem State (Određivanje odgovarajućeg stupnja pročišćavanja otpadnih voda s obzirom na stanje morskog ekosustava)
(Assessment of Proper Wastewater Treatment Level according to Marine Ecosystem State)

Autori
Volf, Goran

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, doktorska disertacija

Fakultet
Građevinski fakultet

Mjesto
Rijeka

Datum
20.07

Godina
2012

Stranica
107

Mentor
Prof.dr. sc. Boris Kompare ; Prof.dr.sc. Nevenka Ožanić

Neposredni voditelj
Prof.dr.sc. Nevenka Ožanić

Ključne riječi
sjeverni Jadran ; strojno učenje ; kvaliteta vode ; stanje ekosustava ; upravljanje slivom ; tretman otpadne vode
(northern Adriatic ; machine learning ; water quality ; ecosystem state ; watershed management ; wastewater treatment level)

Sažetak
One of the most important sources of pollution in marine ecosystems are those produced by human activities in the associated watersheds. Understanding the linkage between water quality of marine ecosystems and surrounding watersheds is important in order to better assess processes in marine ecosystems and to evaluate different management options aimed at improving the marine ecosystem state. The goal of this Ph.D Thesis is to contribute to achieve an operational ecosystem- based management of marine ecosystems, which has been called for in the Marine Strategy Framework Directive (2008/56/EC), by improving the scientific knowledge of the functioning of marine ecosystems, especially under the actions of different pressures (such as nutrient enrichment) from surrounding watersheds, analyzed alone or together, both anthropogenic and natural. Attention is paid to the assessment of proper wastewater treatment level according to the desired marine ecosystem state. Northern Adriatic (NA) is chosen for the case study area. NA is the shallowest and subsequently one of the most productive parts in the Adriatic, as well as in the whole Mediterranean Sea. Surrounding watershed area of NA is spread over four neighboring countries, i.e. Italy, Slovenia, Croatia and Switzerland. This watershed is characterized by different natural as well as anthropogenic pressures, e.g. agriculture and urbanization. To achieve the goal of this PhD Thesis the principles of Driving forces-Pressures-States-Impacts- Responses (DPSIR) framework were used, in particular on defining Pressures, how Pressures exerted on large-scale marine ecosystems translate into State changes, how State changes act to Impacts and to define corresponding Responses. First, ArcView Generalized Watershed Loading Function (AVGWLF) was used to calculate nutrient loadings e.g. Pressures (nitrogen and phosphorus) from surrounding NA watershed. Second, using machine learning (ML) tools (Weka and Cubist) State of marine ecosystem was defined trough development of phytoplankton and mucilage descriptive models in a form of regression trees. In the third step the State of NA marine ecosystem was linked to Pressures from surrounding watershed also with the use of ML tools. The link between Pressures and States is a fundamental prerequisite to achieve a real ecosystem-based approach of marine ecosystems. For this task was used Multi Target Stepwise Model Tree Induction (MTSMOTI). MTSMOTI simulates chlorophyll a (Chl-a), dissolved inorganic nitrogen (DIN), total phosphorus (TotP) and oxygen saturation (Osat) in NA from which trophic conditions of the ecosystem are being evaluated using the TRIX index. Through evaluation of various scenarios which present different management options e.g. responses in the watershed (e.g. different wastewater treatment level, fertilizers with less nutrients in agriculture etc.) and through their influence on marine ecosystem (TRIX index) the proper level of wastewater treatment was determined which is significant response in reduction of nutrients.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo

POVEZANOST RADA