Comparison of Saturated Hydraulic Conductivity Methods for Sandy Loam Soil with Different Land Uses
Comparison of Saturated Hydraulic Conductivity Methods for Sandy Loam Soil with Different Land Uses
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DOI:
10.1007/978-981-13-2044-6_10
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发表时间:
2018-09
期刊:
影响因子:
--
通讯作者:
Aminul Islam;D. Mailapalli;Anuradha Behera
中科院分区:
文献类型:
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作者:
Aminul Islam;D. Mailapalli;Anuradha Behera
Saturated hydraulic conductivity (Ks) is a quantitative measure of saturated soil properties and it is essential for designing irrigation, drainage and waste water systems, modelling studies for understanding and prediting rates of infiltration, runoff, erosion, seepage, upflux, solute transport and migration of pollutant to groundwater. However, the accuracy ofKsis highly dependent on the method used, soil and surface characteristics. The objective of the study was to compareKsmethods such as two in situ [Double ring infiltrometer (DRI), air entry permeameter (AEP)] and one pedotransfer function (PTF) based methods for four different land uses such as paddy field (PADF), mango field (MANF), cashew field (CASF) and playground (PLAG). TheKsobtained from the DRI, AEP and PTF methods were used to study the effect of the method and land use onKsand suitability of a method for a land use. It was observed that the measuredKsdata using AEP and DRI of different land uses follow a log-normal distribution. The meanKswere significantly different for both measuring technique and the land use. The AEP resulted highest (2.64 mm/h) and PTF lowest (1.59 mm/h) values ofKs, respectively for all land uses, whereas theKswas highest (2.47 mm/h) and lowest (1.75 mm/h) for the land uses CASF and PLAG, respectively. For all land uses, the meanKswere highest for AEP followed by DRI, and PTF methods. The order ofKsobtained for the land uses were CASF (2.51 mm/h), MANF (1.87 mm/h), PADF (1.82 mm/h) and PLAG (1.71 mm/h). Spatial variability ofKswas observed for DRI method and the land use PLAG. The selection of best suitable method for a particular situation can be obtained by optimizing the interdependent parameters, including method to be used, accuracy in instrument and measurement methods, soil condition and the numbers of practical constraints of the investigation (e.g., cost, availability of manpower, time requirement, portability of estimate, simplicity in measuring technique, operating condition).