Supplementary material underlying the publication: From prediction to engagement: Using technical models to enhance consultation in water management

DOI:10.4121/aa68c8a6-2d9c-48da-9169-f9d215d4691c.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/aa68c8a6-2d9c-48da-9169-f9d215d4691c

Datacite citation style

Houser, Schuyler; Pijcke, Gerard; Ertsen, Maurits (2025): Supplementary material underlying the publication: From prediction to engagement: Using technical models to enhance consultation in water management. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/aa68c8a6-2d9c-48da-9169-f9d215d4691c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Geolocation

Brantas River basin, East Java Indonesia
lat (N): -7.589939316360295
lon (E): 112.10869547100934
view on openstreetmap

Licence

CC0

This supplementary material further describes the methods, data, and results of a water quality modeling project in the Brantas River basin, Indonesia. The model combines a rainfall-runoff model and a pollution fate and transport model to predict resultant water quality levels (in terms of biochemical oxygen demand) along segments of the river, based on estimation of pollution source contributions from crop agriculture, livestock, and domestic wastewater across the river basin. Data used in the model includes historical rainfall and flow data, pollution source data (estimations of BOD contributions based on numbers of cattle, crops, people, etc. and coverage of wastewater management technologies), and observed water quality data.

History

  • 2025-03-17 first online, published, posted

Publisher

4TU.ResearchData

Format

Pdf and zipped data files (.xlsx, shape files)

Funding

  • Sustainable Water Fund (grant code FDW16O46RI) [more info...] Rijksdienst voor Ondernemend Nederland (RVO)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management
Deltares, Delft, the Netherlands

DATA

Files (1)