Identification of Suitable Sites for Plant Growth Using Multicriteria Technique and Physico-chemical Properties of Soils from Yerala River Catchment area, Western India
DOI:
https://doi.org/10.48165/Keywords:
Soil, Rainfall, Elevation, Soil Physicochemical ParametersAbstract
The soil samples from the Yerala river basin situated in a semi-arid region have been analyzed for the various physico-chemical properties. The LULC map of the region was created to understand the distribution of land for various anthropogenic uses. Total 24 soil samples were analyzed using the standard techniques for the properties like pH, EC, sodium, potassium, and chloride. The pH of soil samples ranges from 7.6 to 8.65; electrical conductivity ranges from 0.13 to 0.38 mS/cm; sodium concentration varied from 6.0 to 33 meq/100g; potassium ranges from 0.6 to 3.5 meq/100g; and chloride values range between 10.63 and 24.85 mg/kg. These soil properties in the region were interpolated using a standard geostatistical tool Inverse Distance Weighted (IDW). The components such as elevation, slope, aspect, drainage density etc. unraveled the terrain features of the region. The study helped providing suitable locations for plant growth as well as the information and understanding of large-scale paddy cultivation in the study region. The good suitable class of agricultural land was calculated to be 229.56 sqkm (31.1%); very good suitable class covers 352.93 sq. km area (47.81%); and excellent suitable class is of 13.52 sq. km (1.83%). The region along with its good groundwater potential seems to be a favorable area for cultivation provided some organic/chemical treatments need to be carried out in the region to tackle the soil alkalinity and salinity issues.
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Amuyou, U.A. and Kotingo K.E. (2015). Toposequence analysis of soil properties of an agriculture field in the Obudu. Mountain Slopes, cross river state-Nigeria. European J. of physical and agricultural Sci.,
(1), 1-11.
Anderson, S., Nilsson, S.I., and Sactre, P. (2000). Leaching of dissolved organic carbon (DOC) and dissolved organic nitrogen (DON) in non-humus as affected by temperature and pH. Soil Biol. Biochem, 32(1), 1-10.
APHA, (1998). Standard Methods for the Examination of Water and Wastewater. 22th Edition, American Public Health Association, American Water Works Association and Water Environmental Federation, Washington DC.
Burley, T.M. (1961). Land use and Land utilization? Professional Geographer, 14(5), 18-20.
Changere, A. and Lal, R. (1997). Slope position and erosion effects on soil properties and corn production on a Miamian soil in Central Ohio. J. Sustain.
Agric., 11(1), 5-21.
Chapman, H.D. (1965). Cation exchange capacity. In: Methods of Soil Analysis (Black CA, et al. ed). American Society of Agronomy Inc Publishers, Medison, Wisconsin, USA. Agronomy, 9, 891-901.
Curtin, D., Campbell, C.A. and Jalil, A. (1998). Effects of acidity on mineralization: PH dependence of organic matter mineralization in weakly acidic soils. Soil Biol. Biochem., 30 (1), 57-64.
Dinesh Kumar, P., Gopinath, G., Seralathan, P. (2007). Application of remote sensing and GIS for the demarcation of groundwater potential zones of a river basin in Kerala, southwest cost of India. Int. J. Remote Sens. 28(24):5583–5601.
Gardiner, V. (1995). Channel networks: progress in the study of spatial and temporal variations of drainage density. In: Gornell A. Petts and GE (eds) Change in river channels. Wiley, New York, 65-85.
Gessler, P.E., Chadwick, O.A., Chamran, F., Althouse, L. and Holmes, K. (2000). Modeling soil-landscape and ecosystem properties using terrain attributes. Soil Sci. Soc. Am. J., 64, 2046-2056.
Gregory, K.J., and Walling, D.E. (1968). The variation of drainage density within a catchment. Hrdrol. Sci. J.13, 61-68.
Jackson, M.L. (1958). Soil Chemical Analysis, Prentice Hall Inc., USA, 183-204. 13. Jackson, M.L. (1965). Soil Chemical Analysis-Advanced Course. Department of Soils, University of Wisconsion, Wisconsin, USA. 1969 No. Edition 2 pp.895.
Jackson, M.L. (1968). Weathering of primary and secondary minerals in soils. In: Transaction of International Congress of Soil Science, 9th Congress, Adelaide, Australia, 281-292.
Jackson, M.L. (1973). Soil Chemical Analysis (II Edition). Prentice Hall of India Private Limited, New Delhi, India. pp. 498.
Jackson, M.L. (1982). Análisisquímico de suelos, Ediciones Omega, Barcelona, Spain, 282-309.
Jenks, George F. (1967). The Data Model Concept in Statistical Mapping. International Yearbook of Cartography, 7, 186–190.
Kamble, P.N., Kurhe, A.R., Pondhe, G.M., Gaikwad, B.V. and Baath, E. (2013). Soil Nutrient Analysis and their Relationship with Special Reference to pH in Pravaranagar Area, District Ahmednagar, Maharashtra, India. IJSTR 2, 216-218.
Kamble, P.N., Gaikwad, V.B., Kuchekar, S.R., and Bååth, E. (2014). Microbial growth, biomass, community structure and nutrient limitation in high pH and salinity soils from Pravaranagar (India).Eur. J. Soil Biol. 65, 87-95
Khan, F., Hayat, Z., Ahmad, W., Ramzan, M., Shah, Z., Sharif, M. and Hanif, M. (2013). Effect of Slope Position on Physico Chemical Properties of Eroded Soil. Soil & Environment, 32, 22-28
Lo, C.P. (1986). Applied remote sensing. New York: Longman Inc., 227 p.
Loveland, T.R. and Acevedo, W. (2006). Land covers change in the Eastern United States. US Geological survey. 57 (11), 1453– 1463.
https;//landcovertrends.usgs.gov/east/*r egional Summary.html,
Luk, S.H., Cai, Q. and Wang, G.P. (1993). Effects of surface crusting and slope gradient on soil and water losses in the Hilly loess region, North China. Catena Supplement, 24, 29-45.
Magesh, N., Chandrasekar, N., and Soundranayagam, J. (2012). Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci. Front., 3(2), 189–196.
Nejad, A.A. and Nejad, M.B. (1997). The effects of topography on genesis and
development of soils in Kermansha area. Iran Journal of Sciences, 28(3): 99-11. 26. Özkan, B., Dengiz, O. & Turan, İ.D. (2020). Site suitability analysis for potential agricultural land with spatial fuzzy multi criteria decision analysis in regional scale under semi-arid terrestrial ecosystem. Sci. Rep. 10, 22074.
https://doi.org/10.1038/s41598-020- 79105-4.
Platter, E.J. (2013). Soil Science and management, 6 ed; Delmar Cengage Learning, 544 p.
Sharma, S.C. (1981) Land capability classification and landuse planning. In Perspectives in Geography (Ed.) Mohammad Noor, Concepct Publishing Co., New Delhi, 82-85
Shalini Kulshrestha, Devenda HS, Dhindsa SS, et al. (2003). Studies on causes and possible remedies of water and soil pollution in Sanganer town of Pink City. Indian J. Environ. Sci. 7(1), 47-52
Saaty, T. L. (1980). The Analytic Hierarchy Process, McGraw-Hill, New York pp 1– 287
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. Inter. J. Serv. Scis. 1(1), 83–98.
Sreedevi, P.D., Owais, S., Khan, H.H, and Ahamed, S. (2009). Morphometric analysis of a watershed of South India using SRTM data and GIS. Jour. Geol. Soc. of India, 73, 543-552.
Tucker, G.E, and Brass, R.L. (1998). Hillslope processes, drainage density, and landscape morphology. Water Resour. Res. 34, 2751-2764.
Zhang and Hosoyamada, K. (1996). Influence of slope gradient on interracial erosion of Shirasu Soil. Cond. Plant Growth, 73, 37-44.
Zhang WJ, Zhang XY. (2007). A forecast analysis on fertilizers consumption worldwide. Enviro. Monit. Asse. 133, 427- 434.
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