Modelling of Soil Loss through RUSLE2 for Soil Management in an Agricultural Field of Uccle, Belgium

Siddique, M. N. A.; J, Sultana; Abdullah, M. R.; Azad, Kamrun Naher

doi:10.9734/bjecc/2017/35336

Cited by 4 publications

(5 citation statements)

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“…Consequently, locations with smaller LS-factor values experience less soil erosion due to this factor, while regions with bigger LS-factor values experience more soil erosion due to this factor. How much dirt is lost depends on the relationship between the slope's length and slope [36][37].…”

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confidence: 99%

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Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin, Sakon Nakhon Province, Thailand

Ruksajai¹,

Konyai²,

Sriboonlue³

2023

Pol. J. Environ. Stud.

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Geohazard mapping using remote sensing and GIS is effective. Nam UN classic terrain with soil erosion and other geohazards. The Nam UN Basin's yearly soil loss and high erosion potential are estimated using RUSLE, remote sensing, and GIS. 14.26 t/ha/year of soil erosion is seen on the map. Soil erosion zones are also shown on the map. According to the study, 33.40 percent of the whole area (457.07 kilometers) is prone to severe soil erosion, while 7.72 percent (105.76 kilometers) is prone to high erosion. To decrease soil erosion, decision-makers use soil erosion prognosis analysis. The Analytical Hierarchy Process (AHP) was utilized to identify key soil erosion prone locations by incorporating geo-environmental variables such land use/land cover, geomorphology, Dem, drainage density, slope, elevation, LS factor, rainfall, soil texture, and soil depth. 33.40% of the region is highly prone to soil erosion.

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Section: Author Copy • Author Copy • Author Copy • Author Copy • Auth...mentioning

confidence: 99%

“…Length of the slope. The longer a region is, the stronger its flow and runoff, and the higher its slope [37]. The steepness (S-factor) describes the slope or altitude's effect on erosion.…”

Section: Author Copy • Author Copy • Author Copy • Author Copy • Auth...mentioning

confidence: 99%

Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin, Sakon Nakhon Province, Thailand

Ruksajai¹,

Konyai²,

Sriboonlue³

2023

Pol. J. Environ. Stud.

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“…Soil erosion is widely recognized in the Mediterranean region as the predominant form of environmental degradation, exerting significant impacts on environmental and socio-economic features (PAP/CAR, 1998). Approximately 85 % of global land degradation stems from soil loss, leading to a 17 % decline in yields (Siddique et al, 2017). Globally, this environmental risk poses threats to human activities, agriculture, and infrastructure, influencing the lifespan, size, and preservation of dam reservoirs.…”

Section: Introductionmentioning

confidence: 99%

Hydric Erosion Mapping Enhancement in Korifla Sub-Watershed (Central Morocco)

Eddefli,

Tayebi,

Hajaj

et al. 2023

Journal of Landscape Ecology

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In recent years quantitative and qualitative methods integration has become common in investigating and modeling hydric erosion. The present study focuses on using a synergistic approach of the Erosion Potential Model (EPM) and Priority Actions Program/Regional Activity Centre (PAP/RAC) in order to model the potential erosion in the Korifla Sub-watershed, Central Morocco. The combination of remotely sensed data and the EPM parameters demonstrated that the amount of soil estimated loss in the study area is between 0.001 m3/km2/y and 68.26 m3/km2/y. Furthermore, AUC (Area Under Curve) was computed to validate the EPM modeling results by implementing 162 high erosion sites, the AUC value indicates good mapping results (0.76). The PAP/RAC model shows that in the entire study area, the zones of very high and high erosion represent respectively 10.31 % and 14.53 %, whereas the equivalent of these zones by EPM represents 6.31 % and 9.52 %. The distribution of high-erosion areas correlates well with that of moderate to steep slopes, principally in forest and agricultural lands within the study area. However, the employed methods in this study successfully simulated erosion quantitatively as well as qualitatively. The findings of this study imply that hydric erosion can threaten ecological sustainability and agricultural production in several parts of the Korifla sub-watershed. Consequently, the present study results offer valuable insights for planning efficient erosion control strategies as well as redirecting soil and slope management. To sum up, the findings of this research have important implications for implementing efficient erosion control measures in north-western central Morocco, semi-arid area.

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“…The excessive use of fertilizers may cause soil acidification and soil amendments would be necessary to rectify/ameliorate certain soil types for higher yields [3], [4]. Similar and or other forms of land and soil quality degradation [5], [6] and soil fertility decline [7] could evolve in other countries due to intensive agriculture, this is especially so in South Asia and the Pacific region, which accounts for more than 70% of the global agricultural population but only 30% of the world's farmland [8]. But these regions' agricultural resource use efficiency is poor, which in turn negatively affecting the agroecosystems.…”

Section: Introductionmentioning

confidence: 99%

“…Research and development in agronomy have been aimed at developing integrated farming systems with the use of machinery and balanced use of fertilizer and irrigation and less/ or no use of pesticides. Such ideas and practices can be categorized as precision agriculture and the application of the modern tool in soil fertility management and soil characterization [5], [16], [7], [17]. The technological development of satellite navigation within the last few years provides a tool for taking into consideration of variation within fields during cultivation.…”

Section: Introductionmentioning

confidence: 99%

Online Fertilizer Recommendation System (OFRS): A Step Towards Precision Agriculture And Optimized Fertilizer Usage By Smallholder Farmers In Bangladesh

Hossain

Siddique

2020

EJGEO

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The recent progression and Green Revolution (approx. between the 1990s-2010s) in agriculture of Bangladesh resulted in an increase of total production despite yield-gap to ensure food security. But agriculture in Bangladesh is still backed-up by higher use of inputs (agrochemicals-fertilizers, pesticides; modern varieties, irrigation etc.) and inversion tillage. This conventional agrochemical-based smallholder agriculture may lead to soil and environmental degradation, soil acidification, and a decline in soil fertility. Therefore, it is significant to optimize input application in intensive agriculture, especially fertilizers. This paper introduces the potential online facilities of generating online fertilizer recommendations for smallholder farmers in Bangladesh to ensure proper usage of fertilizers and enable sustainable agricultural production. We also highlighted how the usage of fertilizers increased with an increase in total production over time. But the sustainability of production in the years to come still remain challenging. With the aim of sustainable crop production, reduction in the misuse of fertilizers and reduction of input cost by optimizing the present pattern of excessive fertilizer application, the Soil Resource Development Institute (SRDI) provides location-specific fertilizer recommendation through both the manual and soil test based interpretation of plant nutrients: soil database in Upzazila Nirdeshika and static laboratory soil analysis. Recently, SRDI developed web-based software named Online Fertilizer Recommendation System (OFRS). The system is capable of generating location-specific fertilizer recommendations for selected crops by analyzing the national soil database developed by this governmental institute. The software requires farmer field location, respective soil and land type, and crop type and variety information to generate crop-specific instant fertilizer recommendation. It was observed that by using fertilizer according to the recommended dose calculated on the basis of soil test values, farmers could harvest approx. 7-22% higher yield of different crops over usual farmers practice. If this system can be popularized and disseminated by effective agricultural extension, this would immensely contribute to the promotion of precision agriculture, input cost reduction and it would certainly enable us to optimize fertilizer application by the smallholder farmers in Bangladesh.

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Modelling of Soil Loss through RUSLE2 for Soil Management in an Agricultural Field of Uccle, Belgium

Cited by 4 publications

References 0 publications

Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin, Sakon Nakhon Province, Thailand

Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin, Sakon Nakhon Province, Thailand

Hydric Erosion Mapping Enhancement in Korifla Sub-Watershed (Central Morocco)

Online Fertilizer Recommendation System (OFRS): A Step Towards Precision Agriculture And Optimized Fertilizer Usage By Smallholder Farmers In Bangladesh

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