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.

    We have a manual that explains all the features 

Record number 437774
Title MAMBO 2.x : design principles, model structure and data use
Author(s) Kruseman, G.; Luesink, H.H.; Blokland, P.W.; Hoogeveen, M.W.; Koeijer, T.J. de
Source Wageningen : Wettelijke Onderzoekstaken Natuur & Milieu (WOt-werkdocument 307) - 118
Department(s) LEI SECT & OND - Duurzame Ontwikkeling Agrosectoren
LEI SECT & OND - Prestatie en Perspectief Agrosectoren
Publication type Research report
Publication year 2013
Keyword(s) mest - kunstmeststoffen - simulatiemodellen - dierlijke meststoffen - economie - mestoverschotten - ammoniakemissie - ammoniak - modellen - manures - fertilizers - simulation models - animal manures - economics - manure surpluses - ammonia emission - ammonia - models
Categories Mathematical Models, Simulation Models / Manure treatment
Abstract This report describes MAMBO, the model for calculation of manure and fertilizer distribution based on economic principles. Six key processes regarding animal manure and artificial fertilizer are included in MAMBO: (1) Manure and mineral production on farms; (2) Maximum allowed application of manure on farms within statutory and farm level constraints using micro-simulation and mathematical programming techniques; (3) Manure surplus at farm level (production minus maximum application amount); (4) Manure distribution between farms (spatial equilibrium model); (5) Application of manure and artificial fertilizer within the remaining bounds resulting in soil loads with minerals; (6) emission of ammonia and other pollutants at all stages described above. MAMBO is a complex model that uses large amounts of data, the structure of the model and the data used as well as examples of key model results are included. Finally both design principles and quality control are discussed at length.
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