This study was conducted to investigate the changes in the frequency of use, users' behaviour and satisfaction of Seonhaksan and Bibongsan mountains near city center improved through the park and green spaces projects implemented by Jinju City Hall from 2004 to 2016. The number of visitors per day was measured by observation surveys in 2004 and 2016. The users' behaviour and satisfaction were measured by questionnaires in 2004 and 2017. The collected data were analyzed by frequency analysis and independent sample t-test. The number of visitors per day increased about two times on weekdays and more than 2.5 times on weekends in 2016 than in 2004. Relatively the number of male visitors increased more than that of female visitors. The share of elderly visitors has increased and the number of visitors who live out of 1 km radius has increased. The goals of visit were changed from hiking or walking to various recreational activities, and the number of users visiting by car increased. The number of visits and the duration of visit has decreased. The inconveniences of trails and exercise facilities were significantly reduced, and the necessity of family recreational facilities fulfilled. The necessity of outdoor learning facilities and programs has not been recognized. Comprehensively, the results indicate that the recreational quality of Seonhaksan and Bibongsan mountains has improved. Further implementation of target-oriented parks and green spaces will be necessary in the future.

Summary This study investigated the potential of visible/near‐infrared reflectance spectroscopy (Vis‐NIRS) to predict soil water repellency (SWR). The top 40 mm of soils (n = 288) across 48 sites under pastoral land‐use in the North Island of New Zealand, which represented 10 soil orders and covered five classes of drought proneness, were analysed by standard laboratory methods and Vis‐NIRS. Soil WR was measured by using the molarity of ethanol droplet (MED) and the water drop penetration time (WDPT) tests. Soil organic carbon content (%C) was also measured to examine a possible relationship with SWR. A partial least squares regression (PLSR) model was developed by using Vis‐NIRS spectral data and the reference laboratory data. In addition, we explored the power of discrimination based on WDPT classes using partial least squares discriminant analysis (PLS‐DA). The PLSR of the processed spectra produced moderately accurate prediction for MED (R2val = 0.61, RPDval = 1.60, RMSEval = 0.59) and good prediction for %C (R2val = 0.82, RPDval = 2.30, RMSEval = 2.72). When the data from the 10 soil orders were considered separately and based on soil order rather than being grouped, the prediction of MED was further improved except for the Allophanic, Brown, Organic and Ultic soil orders. The PLS‐DA was successful in classifying 60% of soil samples into the correct WDPT classes. Our results indicate clearly that Vis‐NIRS has the potential to predict SWR. Further improvement in the prediction accuracy of SWR is envisaged by increasing the understanding of the relationship between Vis‐NIRS and the SWR of all New Zealand soil orders as a function of their physical properties and chemical constituents such as hydrophobic compounds.

No abstract

No abstract

No abstract