Data underlying the publication: How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The Netherlands

DOI

This dataset supports the analysis presented in the paper “How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The Netherlands.” It enables reproduction of scenario-based simulations of Combined Sewer Overflows (CSOs) and nutrient loads (TN, TP) in Breda using the Storm Water Management Model (SWMM).

We developed scenarios combining KNMI’23 climate projections (2050, 2100; wet and dry variants) and socioeconomic pathways (SSP1, SSP5), with and without Blue-Green Infrastructure (BGI).

The dataset contains: - Climate hourly data – results of the disaggregation process from daily to hourly precipitation. - Model inputs – scenario-specific input files for SWMM (e.g., water use, nutrient concentrations, event definitions). - Model outputs – SWMM results for CSO volumes and TN/TP loads under each scenario.

SWMM, 5.2

PySWMM (Python), 3.12

QGIS, 3.22.5

Identifier
DOI https://doi.org/10.17026/PT/YXHNBX
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/PT/YXHNBX
Provenance
Creator M. Schilstra ORCID logo; M. Wang ORCID logo; M. Strokal ORCID logo; S.J. Sutanto ORCID logo; W.S. Chen ORCID logo
Publisher DANS Data Station Physical and Technical Sciences
Contributor Librarian, Data
Publication Year 2025
Rights CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Librarian, Data (Wageningen UR)
Representation
Resource Type Dataset
Format application/octet-stream; text/csv; text/plain
Size 14741656; 14756308; 1703810; 1701832; 14740984; 1702458; 1702849; 14741655; 1515471; 6802395; 14899326; 1908728; 14741679; 1626866; 14885772; 1908881; 1629646; 14740983; 1629658; 1627482; 14885750; 1789082; 14741657; 1501418; 14885846; 1790153; 1504264; 6782969; 14863434; 1948423; 14741677; 1687397; 14868492; 1949038; 14746739; 1687630; 14741161; 1690232; 1688438; 14863438; 1743981; 14741683; 1523061; 14868482; 1761142; 14746745; 1524523; 6794681; 14885769; 1973115; 14741674; 1665599; 14885767; 1973509; 1665204; 14741104; 1664457; 1664849; 1788283; 14741672; 1495855; 14885765; 1788829; 1497303; 6819850; 14863432; 1943815; 1680955; 14868496; 1947069; 14746741; 1680399; 14740995; 1680123; 1680283; 14863426; 1763041; 14741673; 1557927; 14868488; 1767345; 14746735; 1558821; 6817560; 14863424; 1946768; 14741669; 1683571; 14868484; 1947002; 14742897; 1683282; 14741097; 1683291; 1682901; 14863420; 1747119; 14741667; 1533347; 1750765; 14742895; 1534195; 6806677; 14863442; 1923105; 14741689; 1676538; 14868504; 1922939; 14746751; 1678643; 14741238; 1676335; 1676490; 1755094; 1544599; 1760120; 1546473; 6798707; 9545
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences