Livestock odour dispersion and its implications for rural tourism: case study of Valencian Community (Spain)
Abstract
Aim of study: To study the relationship between the problem odours caused by livestock farms and the evolution of rural tourism.
Area of study: A coastal region in Spain, the Valencian Community.
Material and methods: The odour emission rates of 4,984 farms have been calculated, and the ambient odour concentration was determined to assess the odour nuisance. The odour concentration was modelled by applying the Gaussian model based on emission data and the most unfavourable meteorological conditions of the 45 climatic stations distributed throughout the analysis area. The dispersion model was implemented in a geographic information system, deducing the municipalities affected using the odour concentration thresholds. Furthermore, the evolution of rural tourism in municipalities was studied during the period of 2006-2017. The relationship between the evolution of rural tourism and the effects of odours is studied by means of a bivariate spatial correlation analysis.
Main results: Pigs are the predominant species in areas with the greatest odour emission problems; ~ 29% of farms can result in annoyances among the population with odour concentrations greater than 5 OU/m3, and 46% of municipalities can be affected by odour problems. These odour nuisances had negative consequences in the municipality where measures were carried out to favour rural development, such as rural tourism. Municipalities were detected in which the problem of odours can be a deterrent to rural tourism, whereas in other municipalities it was observed that minimizing livestock activity can be a method to promote rural tourism.
Research highlights: This study provides a methodology that allows modeling the odour dispersion of livestock and relates its implications to rural tourism. Municipalities have been identified where livestock odours can cause a stagnation of the rural tourism income.Downloads
References
Aatamila M, Verkasalo PK, Korhonen MJ, Suominen AL, Hirvonen MR, Viluksela MK, Nevalainen A, 2011. Odour annoyance and physical symptoms among residents living near waste treatment centres. Environ Res 111: 164-170. https://doi.org/10.1016/j.envres.2010.11.008
Amador J, Dominguez J, 2005. Application of geographical information systems to rural electrification with renewable energy sources. Renew Energ 30: 1897-1912. https://doi.org/10.1016/j.renene.2004.12.007
Amadou ML, Villamor GB, Kyei-Baffour N, 2018. Simulating agricultural land-use adaptation decisions to climate change: An empirical agent-based modelling in northern Ghana. Agric Syst 166: 196-209. https://doi.org/10.1016/j.agsy.2017.10.015
Anselin L, 1995. Local indicators of spatial association-LISA. Geograph Anal 27: 93-115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
Anselin L, Syabri I, Kho Y, 2006. GeoDa : An introduction to spatial data analysis. Geograph Anal 38 (1): 5-22. https://doi.org/10.1111/j.0016-7363.2005.00671.x
BOE, 1995. Ley 11/1994, de 27 de diciembre, de espacios naturales protegidos de la Comunidad Valenciana. Boletín Oficial del Estado (España), BOE-A-1995-3325.
BOE, 2007. RD 1071/2007, de 27 de julio, por el que se regula el sistema geodésico de referencia oficial en España. Boletín Oficial del Estado (España), 35986-35989.
Boers D, Geelen L, Erbrink H, Smit LAM, Heederik D, Hooiveld M, Yzermans CJ, Huijbregts M, Wouters IM, 2016. The relation between modeled odor exposure from livestock farming and odor annoyance among neighboring residents. Int Arch Occup Environ Health 89: 521-530. https://doi.org/10.1007/s00420-015-1092-4
Brancher M, Schauberger G, Franco D, De Melo Lisboa H, 2016. Odour impact criteria in south American regulations. Chem Eng Trans 54: 169-174.
Brancher M, Griffiths KD, Franco D, de Melo Lisboa H, 2017. A review of odour impact criteria in selected countries around the world. Chemosphere 168: 1531-1570. https://doi.org/10.1016/j.chemosphere.2016.11.160
Cai L, Koziel JA, Zhang S, 2011. Odorous chemical emissions from livestock operations in United States. Int Conf on Remote Sens Environ Transport Eng, IEEE, pp: 532-535. https://doi.org/10.1109/RSETE.2011.5964331
Calafat C, Gallego A, Quintanilla I, 2015. Integrated geo-referenced data and statistical analysis for dividing livestock farms into geographical zones in the Valencian Community (Spain). Comput Electron Agric 114: 58-67. https://doi.org/10.1016/j.compag.2015.03.005
Capelli L, Sironi S, Del Rosso R, Guillot JM, 2013. Measuring odours in the environment vs. dispersion modelling: A review. Atmos Environ 79: 731-743. https://doi.org/10.1016/j.atmosenv.2013.07.029
Chasco C, Fernández G, 2008. Análisis de datos espacio-temporales en geomarketing: difusión espacial del lanzamiento de un nuevo producto. Invest Market 98: 56-61.
Danuso F, Rocca A, Ceccon P, Ginaldi F, 2015. A software application for mapping livestock waste odour dispersion. Environ Model Softw 69: 175-186. https://doi.org/10.1016/j.envsoft.2015.03.016
EC, 1996. Council Directive 96/62/EC of September 27, 1966 on ambient air quality assessment and management
EC, 2015. Programa de desarrollo rural de la Comunitat Valenciana Cofinanciado por FEADER para el periodo 2007-2013. European Commission. http://www.avfga.gva.es/es/pdr-cv-2007-2013
EC, 2017. Programa de desarrollo rural de la Comunitat Valenciana Cofinanciado por FEADER para el periodo 2014-2020.pdf. European Commission. http://www.avfga.gva.es/es/pdr-cv-2014-2020
Exceltur, 2018. Perspectivas turisticas. 65-2018. https://www.exceltur.org/perspectivas-turisticas/
Fortuin FTJM, Omta SWF, 2009. Innovation drivers and barriers in food processing. Br. Food J 111 (8): 839-851. https://doi.org/10.1108/00070700910980955
Gallego A, Calafat C, Segura M, Quintanilla I, 2019. Land use policy land planning and risk assessment for livestock production based on an outranking approach and GIS. Land Use Policy 83: 606-621. https://doi.org/10.1016/j.landusepol.2018.10.021
Generalitat Valenciana, 2006. El turismo rural en la Comunitat Valenciana. Conselleria de Turisme.
Generalitat Valenciana, 2008. Guía técnica para la gestión de las emisiones odoríferas generadas por las explotaciones ganaderas intensivas [Technical guide for the management of odour emission rates generated by intensive livestock farms].
Gifford F, 1959. Statistical properties of a fluctuating plume dispersion model. Adv Geophys 6: 117-137. https://doi.org/10.1016/S0065-2687(08)60099-0
Guffanti P, Pifferi V, Falciola L, Ferrante V, 2018. Analyses of odours from concentrated animal feeding operations: A review. Atmos Environ 175: 100-108. https://doi.org/10.1016/j.atmosenv.2017.12.007
Gulickx MMC, Verburg PH, Stoorvogel JJ, Kok K, Veldkamp A, 2013. Mapping landscape services: A case study in a multifunctional rural landscape in the Netherlands. Ecol Indic 24: 273-283. https://doi.org/10.1016/j.ecolind.2012.07.005
Guo H, Jacobson L, Schmidt D, Nicolai R, Janni K, 2004. Comparison of five models for setback distance determination from livestock sites. Can Biosyst Eng 46 (6): 17-25.
Hayes ET, Curran TP, Dodd VA, 2006. A dispersion modelling approach to determine the odour impact of intensive poultry production units in Ireland. Bioresour Technol 97: 1773-1779. https://doi.org/10.1016/j.biortech.2005.09.019
Henshaw P, Nicell J, Sikdar A, 2006. Parameters for the assessment of odour impacts on communities. Atmos Environ 40: 1016-1029. https://doi.org/10.1016/j.atmosenv.2005.11.014
Hernandez G, Trabue S, Sauer T, Pfeiffer R, Tyndall J, 2012. Odor mitigation with tree buffers: Swine production case study. Agric Ecosyst Environ 149: 154-163. https://doi.org/10.1016/j.agee.2011.12.002
Janes KR., Yang SX, Hacker RR, 2004. Single-component modelling of pig farm odour with statistical methods and neural networks. Biosyst Eng 88: 271-279. https://doi.org/10.1016/j.biosystemseng.2004.04.004
Janicke U, Müller WJ, Both R, Trukenmüller A, 2012. Comment on "Empirical model derived from dispersion calculations to determine separation distances between livestock buildings and residential areas to avoid odour nuisance" by G. Schauberger, R. Schmitzer, M. Kamp, A. Sowa, R. Koch, W. Eckhof, F. Eichler. Atmos Environ 50: 385-386. https://doi.org/10.1016/j.atmosenv.2011.12.010
Lin XJ, Barrington S, Nicell J, Choinière D, Vézina A, 2006. Influence of windbreaks on livestock odour dispersion plume in the field. Agric Ecosyst Environ 116: 263-272. https://doi.org/10.1016/j.agee.2006.02.014
Lucernoni F, Tapparo F, Capelli L, Sironi S, 2016. Evaluation of an odour emission factor (OEF) to estimate odour emissions from landfill surfaces. Atmos Environ 144: 87-99. https://doi.org/10.1016/j.atmosenv.2016.08.064
Molina-Ruiz J, Martínez-Sánchez MJ, Pérez-Sirvent C, Tudela-Serrano ML, García-Lorenzo ML, 2011. Developing and applying a GIS-assisted approach to evaluate visual impact in wind farms. Renew Energ 36: 1125-1132. https://doi.org/10.1016/j.renene.2010.08.041
Moreno R, Vayá E, 2000. Técnicas econométricas para el tratamiento de datos espaciales: La econometría espacial. Universitat de Barcelona, Col UB 44, manuals.
Oettl D, Kropsch M, Mandl M, 2018. Odour assessment in the vicinity of a pig-fatting farm using field inspections (EN 16841-1) and dispersion modelling. Atmos Environ 181: 54-60. https://doi.org/10.1016/j.atmosenv.2018.03.029
Olaizola AM, Ameen F, Manrique E, 2015. Potential strategies of adaptation of mixed sheep-crop systems to changes in the economic environment in a Mediterranean mountain area. Livest Sci 176: 166-180. https://doi.org/10.1016/j.livsci.2015.03.012
Pagans E, Domíngues R, van Harreveld AP, 2010. Gestión de impactos por emisiones odoríferas procedentes de actividades ganaderas. Int. Workshop on Anaerobic Digestion of Slaughterhouse Waste; Bonmatí A, et al. (Eds.), pp: 23-32.
Pasquill F, 1961. The estimate of the dispersion of windborne material. Met Mag 90: 33.
Piringer M, Knauder W, Petz E, Schauberger G, 2016. Factors influencing separation distances against odour annoyance calculated by Gaussian and Lagrangian dispersion models. Atmos Environ 140: 69-83. https://doi.org/10.1016/j.atmosenv.2016.05.056
Rich KM, Rich M, Dizyee K, 2018. Participatory systems approaches for urban and peri-urban agriculture planning: The role of system dynamics and spatial group model building. Agric Syst 160: 110-123. https://doi.org/10.1016/j.agsy.2016.09.022
Romain AC, Nicolas J, Cobut P, Delva J, Nicks B, Philippe FX, 2013. Continuous odour measurement from fattening pig units. Atmos Environ 77: 935-942. https://doi.org/10.1016/j.atmosenv.2013.06.030
Schauberger G, Piringer M, Jovanovic O, Petz E, 2012a. A new empirical model to calculate separation distances between livestock buildings and residential areas applied to the Austrian guideline to avoid odour nuisance. Atmos Environ 47: 341-347. https://doi.org/10.1016/j.atmosenv.2011.10.056
Schauberger G, Schmitzer R, Kamp M, Sowa A, Koch R, Eckhof W, Eichler F, Grimm E, Kypke J, Hartung E, 2012b. Empirical model derived from dispersion calculations to determine separation distances between livestock buildings and residential areas to avoid odour nuisance. Atmos Environ 46: 508-515. https://doi.org/10.1016/j.atmosenv.2011.08.025
Schauberger G, Lim TT, Ni JQ, Bundy DS, Haymore BL, Diehl CA, Duggirala RK, Heber AJ, 2013. Empirical model of odor emission from deep-pit swine finishing barns to derive a standardized odor emission factor. Atmos Environ 66: 84-90. https://doi.org/10.1016/j.atmosenv.2012.05.046
Schauberger G, Piringer M, Heber AJ, 2014. Odour emission scenarios for fattening pigs as input for dispersion models: A step from an annual mean value to time series. Agric Ecosyst Environ 193: 108-116. https://doi.org/10.1016/j.agee.2014.04.030
Smith RJ, 1995. A Gaussian model for estimating odour emissions from area sources. Math Comput Model 21: 23-29. https://doi.org/10.1016/0895-7177(95)00048-7
Solsona-Monzonís J, 2014. Análisis prospectivo del turismo rural: El caso de la comunitat valenciana. Cuad Tur: 313-334.
Sommer-Quabach E, Piringer M, Petz E, Schauberger G, 2014. Comparability of separation distances between odour sources and residential areas determined by various national odour impact criteria. Atmos Environ 95: 20-28. https://doi.org/10.1016/j.atmosenv.2014.05.068
Sucker K, Both R, Bischoff M, Guski R, Winneke G, 2008. Odor frequency and odor annoyance. Part I: assessment of frequency, intensity and hedonic tone of environmental odors in the field. Int Arch Occup Environ Health 81: 671-682. https://doi.org/10.1007/s00420-007-0259-z
Ubeda Y, Ferrer M, Sanchis E, Calvet S, Nicolas J, López PA, 2010. Evaluation of odour impact from a landfill area and a waste treatment facility through the application of two approaches of a Gaussian dispersion model. Proc 5th Bienn Conf Int Environ Model Softw Soc iEMSs 1: 322-331. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2473&context=iemssconference
UNE, 2004. UNE-EN 13725:2004 Air quality - Determination of odour concentration by dynamic olfactometry.
Vanhaverbeke W, Cloodt M, 2006. Open innovation in value networks. In: Open innovation: Researching a new paradigm; Chesbrough H, Vanhaverbeke W, West J (Eds.). Oxford Univ Press, pp: 258-281. https://doi.org/10.1093/acprof:oso/9780199682461.003.0015
Willemen L, Verburg PH, Hein L, van Mensvoort MEF, 2008. Spatial characterization of landscape functions. Landsc Urban Plan 88: 34-43. https://doi.org/10.1016/j.landurbplan.2008.08.004
Wu C, Liu J, Zhao P, Piringer M, Schauberger G, 2016. Determination of the odour concentration and odour intensity of a mixture of odorous substances by chemical concentrations: A comparison of methods. Chem Eng Trans 54: 283-292. https://doi.org/10.1016/j.atmosenv.2015.12.051
Yamashita R, Hoshino S, 2018. Development of an agent-based model for estimation of agricultural land preservation in rural Japan. Agric Econ 164: 264-276. https://doi.org/10.1016/j.agsy.2018.05.004
Yepes V, 1995. Turismo sostenible en el interior de la Comunidad Valenciana: posibilidad de un desarrollo turístico complementario al del "sol y playa". Papers de Turisme 17: 75-87.
Zahn JA, DiSpirito AA, Do YS, Brooks BE, Cooper EE, Hatfield JL, 2001. Correlation of human olfactory responses to airborne concentrations of malodorous volatile organic compounds emitted from swine effluent. J Environ Qual 30: 624-634. https://doi.org/10.2134/jeq2001.302624x
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