Flood-Risk Analysis on Terrains under the Multiflow-Direction Model

摘要

An important problem in terrain analysis is modeling how water flows across a terrain and creates floods by filling up depressions. In this article, we study a number of flood-risk related problems: Given a terrain ∑, represented as a triangulated xy-monotone surface with n vertices, a rain distribution R, and a volume of rain ψ, determine which portions of ∑ are flooded. We develop efficient algorithms for flood-risk analysis under the multiflow-directions (MFD) model, in which water at a point can flow along multiple downslope edges and which more accurately represent flooding events. We present three main results: First, we present an O(n log n)-time algorithm to answer a terrain-flood query: if it rains a volume ψ according to a rain distribution R, determine what regions of ∑ will be flooded. Second, we present a O(n log n + nm)-time algorithm for preprocessing ∑ containing m sinks into a data structure of size O(nm) for answering point-flood queries: Given a rain distribution R, a volume of rain ψ falling according to R, and point q ∈ ∑, determine whether q will be flooded. A point-flood query can be answered in O(|R|k + k~2) time, where k is the number of maximal depressions in ∑ containing the query point q and |R| is the number of vertices in R with positive rainfall. Finally, we present algorithms for answering a flood-time query: given a rain distribution R and a point q∈ ∑ X, determine the volume of rain that must fall before q is flooded. Assuming that the product of two k x k matrices can be computed in O(k~ω) time, we show that a flood-time query can be answered in O(nk + k~ω) time. We also give an α-approximation algorithm, for α > 1, which runs in O(n log n log_α ρ)-time, where ρ is a variable on the terrain that depends on the ratio between depression volumes. We implemented our algorithms for computing terrain and point-flood queries as well as approximate flood-time queries. We tested the efficacy and efficiency of these algorithms on three real terrains of different types (urban, suburban, and mountainous.) Terrains; flood-risk analysis; merge trees