Livestock odour dispersion and its implications for rural tourism: case study of Valencian Community (Spain)

  • Consuelo Calafat Universitat Politècnica de València, Dept. Economía y Ciencias Sociales. Camino de Vera, s/n 46002 Valencia
  • Aurea Gallego-Salguero Universitat Politècnica de València, Dept. Ingeniería Cartográfica, Geodesia y Fotogrametría. Camino de Vera s/n. 46002 Valencia
Keywords: odour emissions, rural areas, spatial autocorrelation, Gaussian dispersion model

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

Download data is not yet available.

Author Biographies

Consuelo Calafat, Universitat Politècnica de València, Dept. Economía y Ciencias Sociales. Camino de Vera, s/n 46002 Valencia

Aurea Gallego-Salguero, Universitat Politècnica de València, Dept. Ingeniería Cartográfica, Geodesia y Fotogrametría. Camino de Vera s/n. 46002 Valencia

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

Published
2020-09-22
How to Cite
Calafat, C., & Gallego-Salguero, A. (2020). Livestock odour dispersion and its implications for rural tourism: case study of Valencian Community (Spain). Spanish Journal of Agricultural Research, 18(2), e0106. https://doi.org/10.5424/sjar/2020182-15819
Section
Agricultural economics