Understanding Soil Spatial Patterns for Sustainable Development

Deckers, Jozef; Tielens, Sander; Geyndt, K De; Wauw, Johan Van de; Haile, Mitiku; Poesen, Jean; Tsegay, Berhanu Abraha; Vancampenhout, Karen; Nyssen, Jan

doi:10.1007/978-3-030-04955-3_24

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The heavy metals in the soil mainly come from the symbiosis of ore and the heavy metals in associated minerals [9]. They enter the mining area and its surrounding soil environment during mining and transportation links and are continuously enriched there [10]. When the heavy metals in the soil environment are enriched to a certain level, heavy metal pollution will occur.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

Chen

Yang

Liu

et al. 2021

IJGI

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Heavy metal pollution is a major environmental problem facing humankind. Locating the source and distribution of heavy metal pollutants around mines can provide a scientific basis for environmental control. The structure effect and random effect of a semivariogram can be used to determine the reason for spatial differences in the heavy metal content in surface soil, and the coefficient of variation and regression analysis can be used to confirm that the verification accuracy meets the geostatistical requirements. According to the maximum difference method, the content of heavy metals in the surface soil of the mining area is higher than that of the surroundings, and Cu and Zn levels are higher than the background values for Inner Mongolia. In the present case, Zn, Mn, Pb, Cr, Ni, and Cu levels exceeded the background values for the surroundings of the study area by 65.10%, 53.72%, 52.17%, 46.24%, 33.08%, and 29.49%, respectively. The results show that human activities play a decisive role in the spatial distribution of heavy metals, leading to their spatial distribution in the form of “core periphery”. This distribution pattern was significantly affected by the slope, NDVI value, and the distance from the mining area, but the spatial distribution of Pb was significantly related to high-grade roads. The research methods and conclusions have reference significance for the sources and spatial distribution characteristics of heavy metal pollution in similar mining areas and provide a target for the prevention and control of environmental pollution in the study area.

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Section: Introductionmentioning

confidence: 99%

“…This technology is also used for studying land-use management and pollution-control measures [10,15]. The spatial distribution of pollutants is very important in cleaning up and preventing pollution.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

Chen

Yang

Liu

et al. 2021

IJGI

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Understanding spatial patterns of soils for sustainable agriculture in northern Ethiopia’s tropical mountains

et al. 2019

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Knowledge of the geographical distribution of soils is indispensable for policy and decision makers to achieve the goal of increasing agricultural production and reduce poverty, particularly in the Global South. A study was conducted to better understand the soilscapes of the Giba catchment (900–3300 m a.s.l.; 5133 km2) in northern Ethiopia, so as to sustain soil use and management. To characterise the chemical and physical properties of the different benchmark soils and to classify them in line with the World Reference Base of Soil Resources, 141 soil profile pits and 1381 soil augerings at representative sites were analysed. The dominant soil units identified are Leptosol and bare rock (19% coverage), Vertic Cambisol (14%), Regosol and Cambisol (10%), Skeletic/Leptic Cambisol and Regosol (9%), Rendzic Leptosol (7%), Calcaric/Calcic Vertisol (6%), Chromic Luvisol (6%) and Chromic/Pellic Vertisol (5%). Together these eight soil units cover almost 75% of the catchment. Topography and parent material are the major influencing factors that explain the soil distribution. Besides these two factors, land cover that is strongly impacted by human activities, may not be overlooked. Our soil suitability study shows that currently, after thousands of years of agricultural land use, a new dynamic equilibrium has come into existence in the soilscape, in which ca. 40% of the catchment is very suitable, and 25% is moderately suitable for agricultural production. In view of such large suitable areas, the Giba catchment has a good agricultural potential if soil erosion rates can be controlled, soil fertility (particularly nitrogen) increased, available water optimally used, and henceforth crop yields increased.

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Understanding Soil Spatial Patterns for Sustainable Development

Cited by 2 publications

References 5 publications

Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

Understanding spatial patterns of soils for sustainable agriculture in northern Ethiopia’s tropical mountains

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