Spatio-temporal soil quality assessment under crop rotation irrigated with treated urban wastewater using fuzzy modelling

• Autorzy: Ghaemi M. , Astaraei A. R. , Mahalati M. N. , Emami H. , Sanaeinejad H. H.
• Języki publikacji: EN

Abstrakty

EN

Quantifying soil quality is important for asses- sing soil management practices effects on spatial and temporal variability of soil quality at the field scale. We studied the pos- sibility of defining a simple and practical fuzzy soil quality index based on biological, chemical and physical indicators for assessing quality variations of soil irrigated with well water and treated urban wastewater during two experimental years. In this study 6 proper- ties considered as minimum data set were selected out of 18 soil properties as total data set using the principal component analysis. Treated urban wastewater use had greater impact on biological and chemical quality. The results showed that the studied minimum data set could be a suitable representative of total data set. Significant correlation between the fuzzy soil quality index and crop yield (R 2 = 0.72) indicated the index had high biological significance for studied area. Fuzzy soil quality index approach (R 2 = 0.99) could be effectively utilized as a tool leading to better understanding soil quality changes. This is a first trial of creation of a universal index of soil quality undertaken.

Słowa kluczowe

EN

spatio-temporal property; soil quality; assessment; crop rotation; irrigation; urban waste water; fuzzy model; fuzzy function; treated waste water

• Wydawca: -
• Czasopismo: International Agrophysics
• Rocznik: 2014
• Tom: 28
• Numer: 3
• Opis fizyczny: p.291-302,fig.,ref.

Twórcy

autor

Ghaemi M.

• Department of Soil Sciences, Ferdowsi University of Mashhad (FUM) Campus, Azadi Sq., Mashhad, Khorasan Razavi, Iran

autor

Astaraei A. R.

• Department of Soil Sciences, Ferdowsi University of Mashhad (FUM) Campus, Azadi Sq., Mashhad, Khorasan Razavi, Iran

autor

Mahalati M. N.

• Department of Agronomy, Ferdowsi University of Mashhad (FUM) Campus, Azadi Sq., Mashhad, Khorasan Razavi, Iran

autor

Emami H.

• Department of Soil Sciences, Ferdowsi University of Mashhad (FUM) Campus, Azadi Sq., Mashhad, Khorasan Razavi, Iran

autor

Sanaeinejad H. H.

• Department of Water Engineering, Ferdowsi University of Mashhad (FUM) Campus, Azadi Sq., Mashhad, Khorasan Razavi, Iran

Bibliografia

• Andrews S.S. and Carroll C.R., 2001. Designing a soil quality assessment tool for sustainable agroecosystem management. Ecological Applications, 11, 1573-1585.
• Andrews S.S., Mitchell J.P., Mancinelli R., Larlen D.L., Hartz T.K., Horwarth W.R., Pettygrove G.S., Scow K.M., and Munk D.S., 2002b. On farm assessment of soil quality in California Central Valley. J. Agronomy, 94, 12-23.
• Aparicio V. and Costa J.L., 2007. Soil quality indicators under continuous cropping systems in the Argentinean pampas. Soil Till. Res., 96, 155-165.
• Braimoh A.K., Vlek P.G., and Stein A., 2004. Land evaluation for maize based on fuzzy set and interpolation. Environ. Manag., 33(2), 226-238.
• Dalal R.C. and Moloney D., 2000. Sustainability indicators of soil health and biodiversity. In: Management for Sustainable Ecosystems, Centre for Conservation Biology (Eds P. Hale, A. Petrie, D. Moloney, P. Sattler). University of Queensland, Brisbane, Australia.
• Doran J.W. and Parkin T.B., 1994. Defining and assessing soil quality. In: Defining soil quality for a sustainable environment (Eds J.W. Doran et al.). SSSA Press, Madison, WI, USA.
• Feizi M., 2001. Effect of treated wastewater on accumulation of heavy metals in plants and soil. ICID Int. Workshop Wastewater Reuse Management, September 19-20, Seoul, South Korea.
• Klute A. (Ed.), 1986. Methods of Soil Analysis. Part 1. Physical and Minerological Methods. ASA, SSSA, Madison, WI, USA.
• Glover J.D., Reganold J.P., and Andrews P.K., 2000. Systematic method for rating soil quality of conventional, organic and integrated apple orchards in Washington State. Agric., Ecosystems Environ., 80, 29-45.
• Govaerts B., Sayre K.D., and Deckers J., 2006. Aminimum data set for soil quality assessment of wheat and maize cropping in the highlands of Mexico. Soil Till. Res., 87, 163-174.
• Gugino B.K., Idowu O.J., Schindelbeck R.R., vanEs H.M., WolfeD.W.,MoebiusCluneB.N.,ThiesJ.E.,andAbawi G.S., 2009. Cornell Soil Health Assessment Training Manual, Edition 2.0, Cornell University, Geneva, NY, USA.
• Hao X., Ball B.C., Culley J.L.B., Carter M.R., and Parkin G.W., 2008. Soil density and porosity. In: Soil Sampling and Methods of Analysis (Eds M.R. Carter, E.G. Gregorich). Canadian Soil Sci. Soc., Taylor and Francis Press, Boca Raton, FL, USA.
• Hazelton P. and Murphy B., 2007. Interpreting Soil Test. Results: What do all the numbers mean? CSIRO Press, Melbourne, Australia.
• Huang B., Sun W.X., Zhao Y.C., Zhu J., Yang R.Q., Zou Z., Ding F., and Su J.P., 2007. Temporal and spatial of soil organic matter and total nitrogen in an agricultural ecosystem as affected by farming practices. Geoderma, 139, 336-345.
• Johnson R.A. and Wichern D.W., 1992. Applied multivariate statistical analysis. Prentice-Hall, Englewood Cliffs, NJ, USA.
• Lee C.H., Wu M.Y., Asio V.B., and Chen Z.S., 2006. Using a soil quality index to assess the effects of applying swine manure compost on soil quality under a crop rotation system in Taiwan. Soil Sci., 171(3), 210-222.
• Lindsay W.L. and Norvell W.A., 1978. Development of a DTPA soil test for zinc, iron, manganese and copper. Soil Sci. Soc. America J., 42, 421-428.
• Malakouti M.J. and Tehrani M.M., 1999. Effects of micronutrients on the yield and quality of agricultural products (micro nutrients with macro effects) (in Persian). Tarbiat Modarres University Press, Tehran, Iran.
• Mallarino A.P., Wittry D.J., and Barbagelata P.A., 2003. New soil test interpretation classes for potassium. Better Crops, 87(4), 12-14. Masto R.E., Chhonkar P.K., Singh D., and Patra A.K., 2007. Soil quality response to long-term nutrient and crop management on a semi-arid inceptisol. Agric. Ecosystems Environ., 118, 130-142.
• Mathworks Inc., 2004. http://www.mathworks.com
• McBratney A.B. and Odeh I.O., 1997. Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma, 77, 85-113.
• Mohammadrezaei M., Fathi M., and Attarzadeh N., 2012. Proposing a new approach to applying pervasive computing in agriculture environments. Int. J. Comput. Sci. Net. Sec. Int. J. Computer Sci. Network Security, 12(8), 55-59.
• Page A.L., Miller R.H., and Keeney D.R., 1982. Methods of Soil Analysis. Part 2. Chemical and microbiological properties. ASA SSSA, Madison, WI, USA.
• SafarySanjany A.A. and Hajrasoliha S., 1995. Effects of North Isfahan sewage effluent on the soils of Borkhar region and composition of alfalfa. 5th Soil Sci. Congress, Agricultural Vocational School, September, Karaj, Iran.
• Shukla M.K., Lal R., and Ebinger M., 2006. Determining soil quality indicators by factor analysis. Soil Till. Res., 87, 194-204.
• Tisdale S.L., Nelson W.L., Beaton J.D., and Havlin J.L., 1993. Soil fertility and fertilizers. MacMillan Publishing Co., New York, NY, USA.
• Torbert H.A., Krueger E., and Kurtener D., 2008. Soil quality assessment using fuzzy modeling. Int. Agrophysics, 22, 365-370.
• Trangmar B.B., Yost R.S., and Uehara G., 1985. Application of geostatistics to spatial studies of soil properties. Advances Agron., 38, 45-94.
• Tunesi S., Poggi V., and Gessa C., 1999. Phosphate adsorption and precipitation in calcareous soils: the role of calcium ions in solution and carbonate minerals. Nutrient Cycling Agroecosys., 53, 219-227.
• Vance E.D., Brookes P.C., and Jenkinson D.S., 1987. An extraction method for measuring soil microbial biomass carbon. Soil Biol. Biochem., 19(6), 703-707.
• Virto I., Imaz M.J., Mijangos I., Hernández-Allica J., Fernández- Ugalde O., Garbisu C., Bescansa P., and Enrique A., 2010. Soil quality in a semi-arid Mediterranean soil as affected by tillage system and residue burning. 19th World Congr. Soil Sci., Soil Solutions for a Changing World, August 1-6, Brisbane, Australia.
• Walkely A. and Black I.A., 1934. An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci., 37, 29-38.
• Wilding L.P., 1985. Spatial variability its documentation, accommodation and implication to soil survey. In: Soil Spatial Variability (Eds D.R. Nielsen, J. Bouma). Pudoc, Wageningen, the Netherlands.
• Yang L., Zhu A.X., Li B.L., Qin C.Z., Pei T., Liu B.Y., Li R.K., and Cai Q.G., 2007. Extraction of knowledge about soil environment relationship for soil mapping using fuzzy c-means (FCM) clustering. Acta Pedologica Sinica, 44, 16-23.
• Zadeh L.A., 1965. Fuzzy sets. Inform. Control, 8(6), 338-353.
• Zalidis G., Stamatiadis S., Takavakoglou V., Eskridge K., and Misopolinos N., 2002. Impacts of agricultural practices on soil and water quality in the Mediterranean region and proposed assessment methodology. Agric. Ecosystems Environ., 88(2), 137-146.
• Zhang B., Zhang Y., Chen D., White R.E., and Li Y., 2004. A quantitative evaluation system of soil productivity for intensive agriculture in China. Geoderma, 123, 319-331.
• Zhang H. and Raun B., 2006. Soil Fertility. Handbook Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, USA.