Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 562768
Title Resource Dynamo: A GIS model to match urban nutrient supply with agricultural demand
Author(s) Wielemaker, Rosanne; Wilken, Carolin; Chen, Wei Shan; Oenema, Oene; Weijma, Jan
Source Journal of Cleaner Production 258 (2020). - ISSN 0959-6526
DOI https://doi.org/10.1016/j.jclepro.2020.120789
Department(s) Biological Recovery & Re-use Technology
WIMEK
Environmental Technology
Sustainable Soil Use
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) Geographic information systems (GIS) - Nutrient recycling - Optimization - Resource recovery - Urban metabolism - Urine
Abstract

Buildings in cities represent potential point sources of human excreta-derived nutrients, while agricultural land in (peri)urban areas demand nutrients as fertilizers. Here we present a new geographic information system (GIS)-based modelling tool, Resource Dynamo, that optimizes the allocation of excreta-derived nutrients from buildings in cities to nearby agricultural fields. The model minimizes the number of supply sites needed to match the demand by prioritizing sites with the highest nutrient supply, i.e. the hotspots. Furthermore the model delineates exact transport routes between the discrete supply and demand sites. The transport distances are minimized as transport costs are a key factor for economic viability of nutrient management. The high resolution of the model allows it to function as a decision-support tool for bringing cyclic nutrient management into practice. To disclose the potential of the model, we used it to match phosphorus supply in human-derived urine with phosphorus demands from agricultural fields within the municipality of Amsterdam on a temporal scale of 1 year.

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