Estimating the Potential Wetland Storage Capacity for Flood Mitigation by Using Deterministic Topographic Wetland Index
Conference
Bian, L, Yin, Z, Verma, V et al. (2022). Estimating the Potential Wetland Storage Capacity for Flood Mitigation by Using Deterministic Topographic Wetland Index
. 1252-1263. 10.1061/9780784484258.116
Bian, L, Yin, Z, Verma, V et al. (2022). Estimating the Potential Wetland Storage Capacity for Flood Mitigation by Using Deterministic Topographic Wetland Index
. 1252-1263. 10.1061/9780784484258.116
Many studies pointed out that applying wetlands to detain part of peak runoff would be a practical approach to mitigate floods. Since wetlands have a significant impact on flood mitigation, it is necessary to understand spatial distribution and maximum storage capacity of wetlands in a watershed. With the advance of earth observation technologies, high-resolution LiDAR-derived bare-ground digital elevation models (DEM) obtained from airborne platforms provide a great opportunity for researchers and engineers to understand the three-dimensional topographic condition at the watershed scale. As wetlands are a topographic feature, the three-dimensional LiDAR-derived DEM also can be helpful for identifying the locations of wetlands and further estimate their storage capacity. This paper presents a LiDAR-derived method for identifying the locations of existing wetlands and modeling their potential maximum storage capacity at the watershed scale. A rapid and accurate approach called deterministic topographic wetland index was used to identify the locations of existing wetlands. and the "filling-and-spilling" method was used to delineate potential maximum inundation areas at the locations of the existing wetlands. The potential maximum storage capacity of a wetland was determined by the estimated water storage capacity beneath the water surface plus the calculated volume above the water surface. The findings of this paper aim to demonstrate an efficient and accurate approach for potential maximum wetlands' storage capacity estimation at the watershed scale, which further provides important information for flood mitigation.
