Deciphering Spatial Variability and Kriging Mapping for Soil pH and Groundwater Levels

M Edi Armanto; Mohd Zuhdi; Dedi Setiabudidaya; Ngudiantoro Ngudiantoro; Elisa Wildayana; Agus Hermawan; Momon Sodik Imanudin

doi:10.36706/jlso.11.2.2022.577

Authors

M Edi Armanto Faculty of Agriculture, Universitas Sriwijaya, Palembang 30662, South Sumatra, Indonesia
Mohd Zuhdi Faculty of Agriculture Jambi University, Jambi 36122, Jambi, Indonesia
Dedi Setiabudidaya Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya, Indralaya 30662, South Sumatra, Indonesia
Ngudiantoro Ngudiantoro Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya, Indralaya 30662, South Sumatra, Indonesia
Elisa Wildayana Faculty of Agriculture, Universitas Sriwijaya, Palembang 30662, South Sumatra, Indonesia
Agus Hermawan Faculty of Agriculture, Universitas Sriwijaya, Palembang 30662, South Sumatra, Indonesia
Momon Sodik Imanudin Faculty of Agriculture, Universitas Sriwijaya, Palembang 30662, South Sumatra, Indonesia

DOI:

https://doi.org/10.36706/jlso.11.2.2022.577

Keywords:

good interpolator, groundwater levels, soil pH, spatial variability

Abstract

Spatial variability of peatlands is mostly related to natural variations and environment. Thus, it is natural and manageable. This study aimed to determine deciphering spatial variability and kriging mapping for soil pH and groundwater levels. The study was conducted on peatlands in Seponjen Village, Kumpeh Sub-District, Muaro Jambi District, Jambi. The collected data were analyzed using ArcGIS 10.3 and Geostatistics. The validation analysis of soil pH showed good performance where the actual soil pH and the estimated results of soil pH had the same fluctuation pattern, with high reliability (r = 0.94) and accuracy (R² = 0.89) positive. It means that the interpolation performance of soil pH data can be used to create soil pH maps. The soil pH on very thick peat (the area A) showed a strong autocorrelation with a variogram range of 768 m, while on medium peat (the area B) it showed an anisotropic tendency towards rivers with a maximum variability of 273 m. The depth of the groundwater levels in the two areas is autocorrelative, it has a spatial dependence where the variability of the groundwater levels is small at close ranges and increases at long distances.

References

Abdel Rahman MAE, Zakarya YM, Metwaly MM. Koubouris G. 2020. Deciphering soil spatial variability through geostatistics and interpolation techniques. Sustainability. 13 (1): 1–13. DOI: 10.3390/su13010194.

Al-Timimi Y. 2021. Monitoring desertification in some regions of Iraq using GIS techniques. Iraqi Journal of Agricultural Sciences. 52 (3): 620–625. DOI: 10.36103/ijas.v52i3.1351.

Armanto ME. 2019a. Comparison of chemical properties of peats under different land uses in South Sumatra, Indonesia. J. Ecol. Eng. 20 (5): 184–192. DOI: 10.12911/22998993/105440.

Armanto ME. 2019b. Soil variability and sugarcane (Saccharum officinarum L.) biomass along ultisol toposequences. J. Ecol. Eng. 20 (7): 196–204. DOI: 10.12911/22998993/109856.

Armanto ME. 2019c. Improving rice yield and income of farmers by managing the soil organic carbon in South Sumatra Landscape, Indonesia. Iraqi Journal of Agricultural Sciences. 50 (2): 653–661. DOI: 10.36103/ijas.v2i50.665.

Barchia MF, Ishak A, Utama SP, Novanda RR. 2021. Sustainability status of paddy cultivation on marginal peat soils in Indonesia. Bulg. J. Agric. Sci. 27 (2): 259–270.

Bhunia, GS, Shit PK, Chattopadhyay R. 2018. Assessment of spatial variability of soil properties using geostatistical approach of lateritic soil (West Bengal, India). Annals of Agrarian Science. 16 (4): 436–443. DOI: 10.1016/j.aasci.2018.06.003.

Dietrich ST, MacKenzie MD. 2018. Comparing spatial heterogeneity of bioavailable nutrients and soil respiration in boreal sites recovering from natural and anthropogenic disturbance. Front. Environ. Sci 6 (126): 1–13. DOI: 10.3389/fenvs.2018.00126.

Dwiastuti R, Setiawan NN, Aprilia A, Laili F, Setyowati PB. 2021. Land use management and carrying capacity of Bangsri Micro Watershed, East Java, Indonesia: A baseline study. Bulg. J. Agric. Sci. 27 (1): 38–50.

El Falah S, Dakki M, Mansouri I. 2021. Mapping analysis of the wetland loss in Loukkos (Morocco) under agricultural managements. Bulg. J. Agric. Sci.. 27 (1): 186–193.

Imanudin MS, Armanto ME, Bakri. 2019. Determination of planting time of watermelon under a shallow groundwater table in tidal lowland agriculture areas of South Sumatra, Indonesia. Irrigation and Drainage. 68 (3): 488–495. DOI: 10.1002/ird.2338.

Imanudin MS, Priatna SJ, Bakri, Armanto ME. 2020. Field adaptation for watermelon cultivation under shallow ground water table in tidal lowland reclamation area. Journal of Wetlands Environmental Managements. 8 (1): 1–10. DOI: 10.20527/jwem.v8i1.211.

Amandine MS, Priatna SP, Armanto ME, Prayitno MB. 2021a. Integrated Duflow-Drainmod Model for Planning of Water Management Operation in Tidal Lowland Reclamation Areas. IOP Conf. Series: Earth and Environmental Science. 871 (2021) 012035.

Imanudin MS, Bakri, Armanto ME, Wildayana E, Al Rasyid S. 2021b. Development of Control Drainage Operation Model and Utilization Planning of Post-Fire Peatlands. Jurnal JWEM. 9 (1): 1–21.

Imanudin MS, Sulistiyani P, Armanto ME, Madjid A, Saputra A. 2021c. Land suitability and agricultural technology for rice cultivation on tidal lowland reclamation in South Sumatra. Jurnal Lahan Suboptimal : Journal of Suboptimal Lands. 10 (1): 91–103. DOI: 10.36706/JLSO.10.1.2021.527.

Maroeto, Priyadarshini R, Santoso W. 2021. Integration GIS and multicriteria analysis critical land farming in Welang watershed. Bulg. J. Agric. Sci. 27 (2): 242–252.

Negassa W, Baum C, Schlichting A, Müller J, Leinweber P. 2019. Small-scale spatial variability of soil chemical and biochemical properties in a rewetted degraded peatland. Front. Environ. Sci. 7 (116): 1-15. DOI: 10.3389/fenvs.2019.00116.

Sayer AM. 2020. How Long is too Long? Variogram analysis of AERONET data to aid aerosol validation and intercomparison studies. Earth and Space Science. 7 (9): 1–19. DOI: 10.1029/2020EA001290.

Varone C, Lenti L, Martino S, Semblat JF. 2021. Spatial variability of the urban ground motion in a highly heterogeneous site-city configurations. Bull Earthquake Eng. 19 (1): 27–45. DOI: 10.1007/s10518-020-00965-2.

Wildayana E, Armanto ME. 2021. Empowering indigenous farmers with fish farming on south sumatra peatlands. Jurnal Habitat. 32 (1): 1–10.

Zahri I, Wildayana E, Thony Ak, Adriani D, Harun MU. 2019. Impact of conversion from rice farms to oil palm plantations on socio-economic aspects of ex-migrants in Indonesia. Agricultural Economics-Czech. 65 (12): 579–586. DOI: 10.17221/349/2018-AGRICECON.

Zuhdi M, Armanto ME, Setiabudidaya D, Ngudiantoro, Sungkono. 2019. Exploring peat thickness variability using VLF method. J. Ecol. Eng. 20 (5): 142–148. DOI: 10.12911/22998993/105361.