Next Article in Journal
Obtaining Land Cover Type for Urban Storm Flood Model in UAV Images Using MRF and MKFCM Clustering Techniques
Previous Article in Journal
Could Crime Risk Be Propagated across Crime Types?
Article Menu

Export Article

Open AccessArticle

Visualization of Flooding Using Adaptive Spatial Resolution

Department of Computing Sciences, Texas A&M University—Corpus Christi, Corpus Christi, TX 78412, USA
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(5), 204;
Received: 5 April 2019 / Revised: 29 April 2019 / Accepted: 2 May 2019 / Published: 4 May 2019
PDF [5172 KB, uploaded 5 May 2019]


Flood simulations are vital to gain insight into possible dangers and damages for effective emergency planning. With flexible and natural ways of visualizing water flow, more precise evaluation of the study area is achieved. In this study, we describe a method for flood visualization using both regular and adaptive grids for position-based fluids method to visualize the depth of water in the study area. The mapping engine utilizes adaptive cell sizes to represent the study area and utilizes Jenks natural breaks method to classify the data. Predefined single-hue and multi-hue color sets are used to generate a heat map of the study area. It is shown that the dynamic representation benefits the mapping engine through enhanced precision when the study area has non-disperse clusters. Moreover, it is shown that, through decreasing precision, and utilizing an adaptive grid approach, the simulation runs more efficiently when particle interaction is computationally expensive. View Full-Text
Keywords: flood; simulation; adaptive; mapping; quadtree; grid-based flood; simulation; adaptive; mapping; quadtree; grid-based

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Hadimlioglu, I.A.; King, S.A. Visualization of Flooding Using Adaptive Spatial Resolution. ISPRS Int. J. Geo-Inf. 2019, 8, 204.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top