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All Journal SAINS TANAH - Journal of Soil Science and Agroclimatology
Komariah Komariah
Department of Soil Science, Faculty of Agriculture, Sebelas Maret University, Surakarta, Central Java
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Comparing the accuracy of estimating soil moisture using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) Dwi Priyo Ariyanto; Abdul Aziz; Komariah Komariah; Sumani Sumani; Magarsa Abara
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 17, No 1 (2020): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.91 KB) | DOI: 10.20961/stjssa.v17i1.41396

Abstract

The Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) are used to monitor and identify different types of drought, including meteorological, hydrological, and agricultural droughts. This study evaluates the accuracy of estimating soil moisture levels using the two indexes. The analysis correlated the SPI and the SPEI over three years (November 2016–October 2019) using Rstudio, with average monthly soil moisture taken using a Soil Moisture Sensor; 3-, 6- and 12-months SPI and SPEI showed a positive correlation for soil moisture (Sig <0.05), whereas 1-month SPI and SPEI results did not.  A regression test was used to get an equation model for estimating soil moisture content. The correlation for soil moisture between the 1-month SPI and SPEI results was insignificant (p-value >0.05). In contrast, the 3-, 6-, and 12-months indexes were significant (p-value <0.05). Estimating soil moisture content using the SPEI (50–59.09%) had a higher accuracy value than the SPI (36.36%), which indicates the SPEI can more reliably predict soil moisture.
Predicting peatland groundwater table and soil moisture dynamics affected by drainage level Bambang Widiarso; Slamet Minardi; Komariah Komariah; Tino Orciny Chandra; Mohamed Abdesalam Elmahdi; Masateru Senge
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 17, No 1 (2020): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1135.609 KB) | DOI: 10.20961/stjssa.v17i1.38459

Abstract

Excessive drainage of peatlands can cause subsidence and irreversible drying; therefore, it is necessary to predict groundwater levels in peatlands to ensure adequate water for crops and control excessive water loss simultaneously. This study aimed to predict the peatland groundwater level and soil moisture affected by drainage. This research was conducted in a peatland located in Rasau Jaya Umum, Kubu Raya Regency, West Kalimantan Province, Indonesia from February to December 2016. Three treatments of drainage setting were established with maize cropping: without drainage (P0) and drainage channel with water level maintained at depths of 30 cm (P1) and 60 cm (P2) from the soil surface. The results indicated that a polynomial regression model is a good approach to predicting groundwater table level and soil moisture in peatlands, with R2 values ranging 0.71-0.96 and 0.65-0.93, respectively. For agricultural purposes, maintaining the water level at 30 cm from the soil surface in the drainage channel appears to be the ideal level as adequate soil moisture is provided for annual cash crops and drying is prevented simultaneously.
Co-Authors Abdul Aziz Bambang Widiarso Dwi Priyo Ariyanto Magarsa Abara Masateru Senge Mohamed Abdesalam Elmahdi Slamet Minardi Sumani Sumani Tino Orciny Chandra