Identification of salinity hazard zones using dualem-1s proximal soil sensor
| dc.contributor.author | Hiranthika, H.G.K. | |
| dc.contributor.author | Vitharana, U.W.A. | |
| dc.contributor.author | Perera, R.A.C.J. | |
| dc.date.accessioned | 2024-11-23T06:16:53Z | |
| dc.date.available | 2024-11-23T06:16:53Z | |
| dc.date.issued | 2015-11-06 | |
| dc.description.abstract | Development of soil salinity is one of the degradation processes that affects soil productivity throughout the world. It is predicted to aggravate in the coming decades endangering food security. In Sri Lanka, soil salinity occurs in major irrigated inland areas of the dry zone and coastal areas. Information on spatial variability of soil salinity and identification of salinity hazard areas are important to apply relevant reclamation measures, to select suitable crop varieties and to minimize further degradation of productive lands. This study focuses on the potential of DUALEM-1S, an electromagnetic induction-based proximal soil sensor to explore the spatial variability of soil salinity and subsequent delineation of potential salinity hazard zones in dry zone paddy soils. Apparent electrical conductivity <formula> survey was performed using the DUALEM-1S sensor in a paddy field (2.5 ha) in Mahailluppallama. Top (0-30 cm) and subsoil (30-60 cm) samples were collected at 35 sample locations those identified using the Latin Hypercube sampling technique based on <formula>. Soils were analyzed for pH, EC (1:5 Soil: Water), EC of saturated paste <formula>, texture, organic matter (OM), available Na, Ca, Mg, and CEC. The <formula> survey resulted in 6318 measurements of horizontal <formula>, subsoil sensitive) and perpendicular (<formula>, topsoil sensitive) coplanar coil orientations. Both measurements were highly correlated (r = 0.95). The <formula> and <formula> measurements showed strong correlations with topsoil <formula> (r =0.90) and (r=0.89), respectively. The regression model fitted between <formula> and <formula> (R2 = 0.8) showed that latter can be used as a soft information to predict the salinity hazard of the study area. Two potential salinity hazard zones were delineated using Fuzzy k-means classification based on interpolated map of <formula>. One zone was having comparatively low <formula> (0.1- 155 mS/m) and the other a higher <formula> (155- 309.9 mS/m). Soils were obtained from each zone for further analysis. Soil analyses revealed that the zone having high <formula> as a sodic zone (ESP > 90.1 %) and zone having lower <formula> as a salinity hazard zone. A pot experiment conducted using soils of potential salinity hazard zones revealed a zero germination of Bg 352 and At 354 rice varieties in the sodic zone and the non saline zone did not affect on the germination of both varieties. This study results justified a strong potential of proximal soil sensing for the characterization of salinity development in paddy soils in the dry zone. | |
| dc.identifier.citation | Proceedings of the Peradeniya University International Research Sessions, 5th & 6th November 2015, Vol.19, University of Peradeniya, p 17 | |
| dc.identifier.uri | https://ir.lib.pdn.ac.lk/handle/20.500.14444/3934 | |
| dc.language.iso | en | |
| dc.publisher | University of Peradeniya, Sri Lanka | |
| dc.subject | Soil salinity | |
| dc.subject | Proximal soil sensing | |
| dc.subject | DUALEM 1-S | |
| dc.subject | Dry zone paddy soils | |
| dc.title | Identification of salinity hazard zones using dualem-1s proximal soil sensor | |
| dc.type | Article |