Determination of Organic Matter by Using Titrimetric and Loss on Ignition Methods for Northern Iraqi Governorates Soils

Maulood, Pakhshan M.

doi:10.22401/anjs.25.3.01

Cited by 2 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among these, 46% of the SOC d values were two to 26 times greater than SOC w . Similar findings were reported in the studies conducted by Maulood [31], Anand et al [32], and Barwari et al [33], among others, suggesting that LOI-based SOC quantification may result in higher estimates. Previous inquiries indicated that LOI overestimates the carbon content of soils due to the volatilization of hygroscopic and structural water and thermal decomposition of carbonate-containing minerals at temperatures above 375°C [34][35][36].…”

Section: Carbon Content Of Urban Soils Based On Loi and Walkley-black...supporting

confidence: 89%

Comprehensive evaluation of soil characteristics and carbon stocks variability in different urban land use types

Reyes,

Geronimo,

Choi

et al. 2024

Environmental Engineering Research

View full text Add to dashboard Cite

The terrestrial environment generally serves as an important carbon pool. This study mainly assessed the properties and carbon storage capabilities of soils from different urban land uses. Soil samples from roads/highways, parks, institutional areas, and constructed wetlands were collected to assess the effects of soil sealing on the characteristics and carbon content of urban soils. Soil sealing and compaction greatly influenced urban soil properties by altering the mass-balance, thereby resulting in a disproportionate amount of inflow and outflow of compounds in the soil strata. Using the Walkley-Black and loss-on-ignition (LOI) methods of soil organic carbon (SOC) analysis demonstrated that LOI-based analysis yielded up to 26 times higher SOC values than the wet-oxidation method due to the high weight losses prompted by the volatilization of hygroscopic and structural water and thermal decomposition of carbonate-containing minerals. Further analyses indicated that open soils contain 5% to 78% higher percentage of organic carbon as compared with their sealed counterparts and top soil layers tend to have higher amounts of SOC due to the continuous deposition of carbon-containing compounds from external sources. Generally, the results of this inquiry can serve as a baseline for formulating strategies to augment pedologic carbon stocks in urban environments.

show abstract

Section: Carbon Content Of Urban Soils Based On Loi and Walkley-black...supporting

confidence: 89%

Comprehensive evaluation of soil characteristics and carbon stocks variability in different urban land use types

Reyes,

Geronimo,

Choi

et al. 2024

Environmental Engineering Research

View full text Add to dashboard Cite

show abstract

“…In the Iraqi Kurdistan region, despite extensive SOM research, there is a noticeable absence of detailed digital SOM maps. While Gravi and Ibrahim [18] employed the ASD Field Spec 3 spectroradiometer for SOM levels in Duhok province, others still rely on time-tested laboratory methods [19,20].…”

Section: Introductionmentioning

confidence: 99%

Digital Mapping of Soil Organic Matter in Northern Iraq: Machine Learning Approach

Khalaf,

Mustafa,

Fayyadh

2023

Applied Sciences

View full text Add to dashboard Cite

Soil organic matter (SOM) is an essential component of soil fertility that plays a vital role in the preservation of healthy ecosystems. This study aimed to produce an SOM-level map of the Batifa region in northern Iraq. Random forest (RF) and extreme gradient boosting (XGBoost) models were used to predict the SOM spatial distribution. A total of 96 soil samples were collected from the surface layer (0–30 cm) of both cropland and soil areas in Batifa. In addition, remote sensing data were obtained from Landsat 8, including bands 1–7, 10, and 11. Supplementary variables such as the normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), brightness index (BI), and digital elevation model (DEM) were employed as tools to predict SOM levels across the region. To evaluate the accuracy of the RF and XGBoost models in predicting SOM levels, statistical metrics, including mean absolute error (MAE), root mean square error (RMSE), and determination coefficient (R2), were used, with 80% of the data used for prediction and 20% for validation. The findings of this study revealed that the XGBoost model exhibited higher accuracy (MAE = 0.41, RMSE = 0.62, and R2 = 0.92) in predicting SOM than the RF model (MAE = 0.65, RMSE = 0.96, R2 = 0.79). Band 10, DEM, SAVI, and NDVI were identified as the most important predictors for both the models. The methodology employed in this study, which utilizes machine learning models, has the potential to map SOM in similar settings. Furthermore, the results offer significant insights for the stakeholders involved in soil management, thereby facilitating the enhancement of agricultural techniques.

show abstract

Determination of Organic Matter by Using Titrimetric and Loss on Ignition Methods for Northern Iraqi Governorates Soils

Cited by 2 publications

References 10 publications

Comprehensive evaluation of soil characteristics and carbon stocks variability in different urban land use types

Comprehensive evaluation of soil characteristics and carbon stocks variability in different urban land use types

Digital Mapping of Soil Organic Matter in Northern Iraq: Machine Learning Approach

Contact Info

Product

Resources

About