Replication Data for: Combining Inflow and Infiltration (I&I) Estimation Methods to Enhance Insights in Data Scarce Contexts: Application to 46 Brazilian Systems

The Canadian Dataverse Repository2026-03-28 收录

排水系统入流渗入估计

城市水务基础设施分析

数据链接：

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/V0CUGH 数据链接链接失效反馈

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资源简介：

Migliato Marega, Gabrielle; Drake, Jennifer; Meyer, David, 2026, "Replication Data for: Combining Inflow and Infiltration (I&I) Estimation Methods to Enhance Insights in Data Scarce Contexts: Application to 46 Brazilian Systems", https://doi.org/10.5683/SP3/V0CUGH, Borealis, V1, UNF:6:219gZezV+zZwcQ56nobkUA== [fileUNF]

创建时间：

2026-01-19

Replication Data for: Combining Inflow and Infiltration (I&I) Estimation Methods to Enhance Insights in Data Scarce Contexts: Application to 46 Brazilian Systems

资源简介：

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