Knowledge of hydrologic connectivity is important to grasp the hydrological response at a basin scale, particularly as changes in connectivity can have a negative effect on the environment. In the context of a changing climate, being able to predict how changes in connectivity will affect runoff and sediment transport is particularly relevant for land-use planning. Many studies on hydrology, geomorphology and climatology have been conducted in the Lake Tana Basin in Ethiopia, which is undergoing rapid development and significant environmental changes.

Since urban areas with high air pollution are known to have higher mortality rates compared to areas with less air pollution, accurately understanding and predicting the distribution of particulate matter (PM) in cities is important for urban planning policies that seek to emphasize the health of citizens. Therefore, this study aims to investigate the relationship between PM and land use in metropolitan cities in South Korea using the land-use regression model. We use daily data from the air quality monitoring stations (AQMS) in seven cities in South Korea for the year 2018.

The transfer of urban development goals from two-dimensional land to three-dimensional space leads to the dilemmas of the functional adjustment of partial space in the building, such as an unclear property right system, vague land financial expropriation method, uncertain economic value, etc. This study aims to understand land-development-right pricing based on spatial characteristics in spatial function regeneration. Especially, we deal with the following questions: (1) How do we identify the spatial development rights and their pricing?