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I/O-efficient computation of water flow across a terrain

Published: 13 June 2010 Publication History

Abstract

Consider rain falling at a uniform rate onto a terrain T represented as a triangular irregular network. Over time, water collects in the basins of T, forming lakes that spill into adjacent basins. Our goal is to compute, for each terrain vertex, the time this vertex is flooded (covered by water). We present an I/O-efficient algorithm that solves this problem using O(sort(X) log (X/M) + sort(N)) I/Os, where N is the number of terrain vertices, X is the number of pits of the terrain, sort(N) is the cost of sorting N data items, and M is the size of the computer's main memory. Our algorithm assumes that the volumes and watersheds of the basins of T have been precomputed using existing methods.

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  • (2020)1D and 2D Flow Routing on a TerrainProceedings of the 28th International Conference on Advances in Geographic Information Systems10.1145/3397536.3422269(5-14)Online publication date: 3-Nov-2020
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    cover image ACM Conferences
    SoCG '10: Proceedings of the twenty-sixth annual symposium on Computational geometry
    June 2010
    452 pages
    ISBN:9781450300162
    DOI:10.1145/1810959
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 13 June 2010

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    Author Tags

    1. geographical information systems
    2. i/o-efficient algorithms
    3. terrains

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    SoCG '10
    SoCG '10: Symposium on Computational Geometry
    June 13 - 16, 2010
    Utah, Snowbird, USA

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    Cited By

    View all
    • (2021)Multi-Scale Target-Specified Sub-Model Approach for Fast Large-Scale High-Resolution 2D Urban Flood ModellingWater10.3390/w1303025913:3(259)Online publication date: 21-Jan-2021
    • (2021)A GIS-based Screening Method to Identify Climate Change-Related Threats on Road Networks: A Case Study from SwedenClimate Risk Management10.1016/j.crm.2021.100344(100344)Online publication date: Jul-2021
    • (2020)1D and 2D Flow Routing on a TerrainProceedings of the 28th International Conference on Advances in Geographic Information Systems10.1145/3397536.3422269(5-14)Online publication date: 3-Nov-2020
    • (2020)Point Flood Query Based on Fast Binary Merge TreeProceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis10.1145/3397056.3397075(38-42)Online publication date: 15-Apr-2020
    • (2020)Visualizing Distributed System ExecutionsACM Transactions on Software Engineering and Methodology10.1145/337563329:2(1-38)Online publication date: 4-Mar-2020
    • (2019)Flood-Risk Analysis on Terrains under the Multiflow-Direction ModelACM Transactions on Spatial Algorithms and Systems10.1145/33407075:4(1-27)Online publication date: 18-Sep-2019
    • (2019)Beyond Worst-case (In)approximability of Nonsubmodular Influence MaximizationACM Transactions on Computation Theory10.1145/331390411:3(1-56)Online publication date: 2-Apr-2019
    • (2019)Flood Risk Analysis on TerrainsACM Transactions on Spatial Algorithms and Systems10.1145/32954595:1(1-31)Online publication date: 5-Jun-2019
    • (2018)SmoothOperatorACM SIGPLAN Notices10.1145/3296957.317319053:2(535-548)Online publication date: 19-Mar-2018
    • (2018)CALOREEACM SIGPLAN Notices10.1145/3296957.317318453:2(184-198)Online publication date: 19-Mar-2018
    • Show More Cited By

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