Enhanced Capital Planning through Spatial Analytics for Cast Iron Pipelines: Leveraging High Resolution Inspection Data
Author:
Affiliation:
1. Senior Decision Scientist, Xylem, Inc., Columbia, MD. ORCID: .
2. Senior Decision Scientist, Xylem, Inc., Columbia, MD.
3. Senior Condition Assessment Engineer, Xylem, Inc., Cleveland Heights, OH.
4. Lead Engineer, WaterOne, Lenexa, KS.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485583.021
Reference6 articles.
1. ESRI. (2011). ArcGIS Pro. Redlands, CA: Environmental Systems Research Institute.
2. Validation of water main failure predictions: A 2‐year case study
3. Kalinic, M., and Krisp, J. M. (2018, June). Kernel density estimation (KDE) vs. hot-spot analysis–detecting criminal hot spots in the City of San Francisco. In Proceeding of the 21𝑠𝑡 Conference on Geo-Information Science.
4. Hotspot Analysis of Water Pipe Breaks using Kernel Density Estimation;Potyralla M.;World Research Journal of Civil Engineering,2015
5. Vladeanu, G., Yazdekhasti, S., and Daly, C. M. Increasing Confidence in Remaining Useful Life Estimation for Inspected Pipelines. In Pipelines 2023 (pp. 1–10).
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