Heritage interpretation challenges and management issues at film-induced tourism heritage attractions: Case studies of Rosslyn Chapel and Alnwick Castle

Although previous research has widely acknowledged the phenomenon of film-induced tourism, there is a paucity of research in relation to management of film-induced tourism at built heritage sites. This research, underpinned by a constructivist paradigm, draws on three distinct fields of study – heritage tourism management, film-induced tourism and heritage interpretation – in order to provide a contribution to the heritage management field and address this particular gap in knowledge. Relying on the method of semi-structured interviews with managers, guides and visitors at Rosslyn Chapel (RC) and Alnwick Castle (AC), this thesis provides a rich understanding of how heritage interpretation can address a range of management challenges at heritage sites where film-induced tourism has occurred. These heritage visitor attractions (HVAs) were specifically selected as case studies as they have played different roles in media products. Rosslyn Chapel (RC) was an actual place named in The Da Vinci Code (TDVC) book and then film, whereas Alnwick Castle (AC) served as a backdrop for the first two Harry Potter (HP) films. Findings of this research include a range of management challenges at both RC and AC such as an increase in visitor numbers; seasonality issues; changes in visitor profile; revenue generation concerns; conservation, access, and visitor experience; and the complex relationship between heritage management and tourism activities. The findings also reveal film-induced tourism’s implications for heritage interpretation such as the various visitors’ expectations for heritage interpretation, changes to heritage interpretation as a result of film-induced tourism, and issues with commodification. These findings also demonstrate that film-induced tourism to some extent influenced visitors’ preferences for heritage interpretation, though visitors’ preferences differed from one to another. This thesis argues that, in the context of film-induced tourism at HVAs, as evident from the two case studies considered, heritage interpretation can be a valuable management tool and can also play a significant role in the quality of the visitors’ experience.

Is China's fifth-largest inland lake to dry-up? Incorporated hydrological and satellite-based methods for forecasting Hulun Lake water levels

Hulun Lake, China’s fifth-largest inland lake, experienced severe declines in water level in the period of 2000-2010. This has prompted concerns whether the lake is drying up gradually. A multi-million US dollar engineering project to construct a water channel to transfer part of the river flow from a nearby river to maintain the water level was completed in August 2010. This study aimed to advance the understanding of the key processes controlling the lake water level variation over the last five decades, as well as investigate the impact of the river transfer engineering project on the water level. A water balance model was developed to investigate the lake water level variations over the last five decades, using hydrological and climatic data as well as satellite-based measurements and results from land surface modelling. The investigation reveals that the severe reduction of river discharge (- 364±64 mm/yr, ~70% of the five-decade average) into the lake was the key factor behind the decline of the lake water level between 2000 and 2010. The decline of river discharge was due to the reduction of total runoff from the lake watershed. This was a result of the reduction of soil moisture due to the decrease of precipitation (-49±45 mm/yr) over this period. The water budget calculation suggests that the groundwater component from the surrounding lake area as well as surface run off from the un-gauged area surrounding the lake contributed ~ net 210 Mm3/yr (equivalent to ~ 100 mm/yr) water inflows into the lake. The results also show that the water diversion project did prevent a further water level decline of over 0.5 m by the end of 2012. Overall, the monthly water balance model gave an excellent prediction of the lake water level fluctuation over the last five decades and can be a useful tool to manage lake water resources in the future.