Open‐source, satellite‐based digital elevation models (DEMs) are widely used for flood modeling. However, studies on effectiveness of these DEMs in depicting local‐level flood processes are limited. This study generated a high‐resolution digital terrain model (DTM) based on unmanned aerial vehicle (UAV) photogrammetry and used in a two‐dimensional (2D) hydrodynamic model (HEC‐RAS) to simulate the flood processes in a floodplain environment of the Jamuna River in northern Bangladesh. The effectiveness of a few satellite‐based DEMs was also compared with this DTM by using the DEMs in the same hydrodynamic model. Field data for two flood seasons were collected to develop the model. The results indicate that the 2D model with UAV‐based DTM provides the flood parameters, such as flood arrival time, depth, duration and extent, better than those from the satellite‐based DEMs. Of the open‐source DEMs, the FABDEM and the WorldDEM™ have the least errors and provide better results compared to the SRTM30, ALOS PALSAR, and ASTER DEMs. The UAV technique with ground control points and field measurements for the tree‐canopy and water areas is very useful in generating a fit‐for‐purpose DTM. The findings of this study would be useful for terrain generation and DEM selection for local‐level flood modeling elsewhere.
<p>Blue-Green Infrastructure is an emerging approach to storm water management in Ho Chi Minh City, helping to mitigate negative effects of excess storm water while providing multiple benefits. While several top-down initiatives for better storm water management practices have been proposed, many initiatives fail to implement or do not perform as expected. There is also a lack of private sector participation in storm water management, where policy and clear regulation are lacking.</p><p>This paper identifies the primary factors contributing to private sector participation in Blue-Green Infrastructure projects in Ho Chi Minh City and validates them through a survey of construction specialists, local authority, and residents. A Motivation and Abilities (MOTA) framework analysis reveals primary risk factors being a lack of perceived economic and financial benefits, as well as maintenance concerns. The primary motivational factors are improved public relations, improved selling value, and increased Floor-Area Ratio. Final remarks include incentive recommendations, addressing corruption, and improved education for private developers and local officials.</p>
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