Global Meta-analysis Database of Hydrological and Morphological Parameters for Urban Retention Ponds

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Autor principal: Castillo García, Carlos Lázaro
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2026
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author Castillo García, Carlos Lázaro
author_facet Castillo García, Carlos Lázaro
contents <p>This dataset (URP-MetaDB) consolidates deterministic empirical parameters extracted from a global meta-analysis of sustainable urban drainage systems, focusing specifically on retention ponds. The database compiles curated information from at least 30 international case studies sourced from peer-reviewed scientific literature. The file includes fundamental hydrological variables, such as inflow hydrograph time series, peak flows, times to peak, and shape factors (with a preliminary fit to Gamma distributions). Concurrently, it documents the geometric and morphological characteristics of the passive infrastructure. The primary purpose of this dataset is to serve as a structured baseline for stochastic hydrological modeling. It acts as the statistical core from which parametric probability functions will be fitted for the large-scale algorithmic generation (via Latin Hypercube Sampling and Iman-Conover correlation) of hydropower recovery scenarios. Provided in an open-source tabular format (.csv) with all variables standardized to the International System of Units (SI), this data complies with FAIR principles. The dataset is designed to be utilized as a benchmark by water resources engineers and researchers focused on consolidating the water-energy nexus within resilient urban infrastructures.</p>
format Recurso digital
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language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Global Meta-analysis Database of Hydrological and Morphological Parameters for Urban Retention Ponds
Castillo García, Carlos Lázaro
hydrology
retention ponds
hydrogram
SuDS
Energy recovery
Micro-hydropower
urban hydrology
<p>This dataset (URP-MetaDB) consolidates deterministic empirical parameters extracted from a global meta-analysis of sustainable urban drainage systems, focusing specifically on retention ponds. The database compiles curated information from at least 30 international case studies sourced from peer-reviewed scientific literature. The file includes fundamental hydrological variables, such as inflow hydrograph time series, peak flows, times to peak, and shape factors (with a preliminary fit to Gamma distributions). Concurrently, it documents the geometric and morphological characteristics of the passive infrastructure. The primary purpose of this dataset is to serve as a structured baseline for stochastic hydrological modeling. It acts as the statistical core from which parametric probability functions will be fitted for the large-scale algorithmic generation (via Latin Hypercube Sampling and Iman-Conover correlation) of hydropower recovery scenarios. Provided in an open-source tabular format (.csv) with all variables standardized to the International System of Units (SI), this data complies with FAIR principles. The dataset is designed to be utilized as a benchmark by water resources engineers and researchers focused on consolidating the water-energy nexus within resilient urban infrastructures.</p>
title Global Meta-analysis Database of Hydrological and Morphological Parameters for Urban Retention Ponds
topic hydrology
retention ponds
hydrogram
SuDS
Energy recovery
Micro-hydropower
urban hydrology
url https://doi.org/10.5281/zenodo.19598690