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Soil Erosion - Crossref

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Last Updated: 08 August 2022

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Long-time Series Dataset of Soil Conservation Capacity Preventing Water Erosion in China (1992–2019)

The ability of the ecosystem to limit soil erosion and protect soil health is measurable in terms of soil conservation capacity. For ecological assessment and land management on a large scale, a long-term and high-resolution estimation of soil conservation is highly needed. Based on the updated Universal Soil Loss Equation method, a 300-meter resolution SC dataset in China is built from 1992 to 2020. Here's a 300-million resolution SC dataset in China. This data will serve as a base to explore SC variations in China's environment and help assess the cultural impacts of land management policies.

Source link: https://doi.org/10.5194/essd-2022-222


REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND

Since the availability of free access satellite data, the use of remote-sensing based soil erosion assessment has been on increasing in recent years, and it has consistently been profitable. In order to analyze large, less accessible regions, here we suggest a system that makes use of a Support Vector machine classification model and ground truth samples to calibrate the processed remote images over a specific region. This solution is being developed for soil erosion studies in Iceland, specifically using Sentinel 2 satellite data as part of Iceland's Soil Conservation Services Department's local assessment results.

Source link: https://doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-135-2022


Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method

To begin remedial actions, it is critical to identify weak areas of soil erosion in each region. Using satellite remote-sensing data and geographic information system analysis, this report shows how using watershed morphometry and weighted sum analysis can determine the soil erosion susceptibility of the Imo River Basin sub-watersheds in South-Eastern N. . . . ia's soil erosion susceptibility of the Imo River Basin sub-watersheds. To this end, Shuttle Radar Topography Mission, a Digital Elevation Model with 30 m spatial resolution, was used to extract and analyze 18 morphometric measurements, including basic, linear, shape, and relief. 41. 5 percent of the basin is in the very high priority zone, with 54 percent, 44. 3 percent, and 36 percent of the basin being in the high, medium, and low priority zones respectively; with regard to erosion susceptibility, 41. 5 percent of the basin is in the very high priority zone; with respect to erosion susceptibility, 41. 5 percent, 44. 3 percent, and 3. 6 percent of the basin are in the high, medium, and low priority zones respectively; with respect to erosion susceptibility, The final erosion susceptibility map's accuracy was 81%, according to the validation of the new erosion susceptibility map.

Source link: https://doi.org/10.2478/quageo-2021-0029


Dynamic Evolution and Quantitative Attribution of Soil Erosion Based on Slope Units: A Case Study of a Karst Plateau-Gorge Area in SW China

Understanding soil erosion processes, particularly in karst regions, requires investigating the spatial dynamics of soil erosion and determining its driving mechanisms. The spatial and temporal patterns of soil erosion in the area over the past 20 years were investigated by the geographical detector on the basis of spatial heterogeneity, while soil erosion and slope, fractional vegetation cover, karst rocky desertification, rainfall, and land use change were determined quantitatively by the geographic detector, based on spatial heterogeneity. The no erosion area decreased from 2000 to 2020, with the largest amount of light to medium erosion and an increasing trend of soil erosion. The hotspots of erosion occurred in high slope-u2013low elevation and high elevation units, while low slopeu2013low elevation units caused the coldspots of erosion.

Source link: https://doi.org/10.3390/land11081134


Spatial and Temporal Variation of Soil Erosion in Guangxi in Recent 20 Years

In Guangxi, the TM/ETM survey as the base data and a digital elevation model are used to determine soil erosion's spatial distribution and temporal variation. In the past 20 years, the area of soil erosion in Guangxi has increased by 4%. Medium soil erosion is the most significant change, with an increase of 1. 2 percent, as well as acute soil erosion shows the smallest change with a rise of 0. 4 percent.

Source link: https://doi.org/10.4028/www.scientific.net/amm.421.787


A GIS-based Morphometric Prioritization of Watersheds for Soil Erosion Planning: A Case Study

This report ranked sub-watersheds in the Upper Bhima Basin based on their need for effective water resource planning and management. Morphometric investigation is required for determining soil erosion-prone areas. According to the results of this report, 30. 00% of the total area is extremely vulnerable, with sub-watersheds requiring immediate attention to implement soil and water conservation steps. This paper found that morphometric analysis using a GIS device and the novel WSA method would aid decision-makers in making more informed and economically efficient decisions.

Source link: https://doi.org/10.21203/rs.3.rs-1913741/v1


Geospatial Analysis of Soil Erosion including Precipitation Scenarios in a Conservation Area of the Amazon Region in Peru

The Tilacancha Private Conservation Area in Chachapoyas provides fresh water to the city of Chachapoyas. Consequently, the amount of soil lost in the year and under precipitation conditions was determined. A 15% decrease in rainfall would result in a decrease of soil from 0. 20 to 301. 56 t/ha. yr, as well as an increase in rainfall by 15%, and an increase in rainfall by 15%, and the erosion ranges would change from 0. 2 to 104. 84 t/ha.

Source link: https://doi.org/10.1155/2021/5753942


Modelling Water Flow and Soil Erosion in Mediterranean Headwaters (with or without Check Dams) under Land-Use and Climate Change Scenarios Using SWAT

This report has investigated the effect of check dams on a forest headwater in Calabria's hydrological response in comparison to unregulated subcatchment with very similar environmental conditions, to fill the void. Using the SWAT model, the effects of various combined scenarios of climate change and land use in the two headwaters were investigated in this regard. The model's water flow rate prediction capability was satisfactory. In the various land use and climate change scenarios, no significant differences were found for the water flow rates and sediment yields between the two subcatchments. Compared to RCP8. 5, SWAT estimated higher values of both mean and maximum water flow rates and sediment yields under RCP2. 6. With the subcatchment without check dams, controlled headwater with check dams was expected to always lead to more runoff and erosion than with the subcatchment without check dams. According to RCP2. 6, the rise was predicted to be up to 60% for the maximum flow rate and 30-403 percent for the sediment yield in forest land use. Despite the fact that the erosion results were uncertain in this research due to a lack of certainty of the erosion results, this report showed how using check dams in headwater catchments may not be effective for soil conservation purposes many decades after their installation in Mediterranean semi-arid areas, where the water flow and erosion rate are limited.

Source link: https://doi.org/10.3390/w14152338


Soil Erosion Assessment Using the RUSLE Model, Remote Sensing, and GIS in the Shatt Al-Arab Basin (Iraq-Iran)

Soil erosion is a significant issue in the Shatt Al-Arab basin, due to the steepness of the terrain and the significant difference in altitude between the upstream and downstream sections of the basin. Hence, the investigation of soil erosion risk and geographical distribution is vital for building a database for developing effective control tactics. In the current work, the soil erosion hazard map in the Shatt Al-Arab basin was combined with the Remote Sensing and Geographic Information System to produce the soil erosion hazard map. The RUSLE model featured various aspects of soil erosion zonation, including rainfall erosivity, soil erodibility, slope length, and steepness, land cover and management, and conservation assistance methods. If development projects are to proceed in areas with a high soil erosion risk, managers and policymakers may use the findings of this study to develop effective soil conservation strategies to prevent soil erosion or recommend soil conservation policies.

Source link: https://doi.org/10.3390/app12157776


Calibration of simulation parameters for wind erosion gas-solid two-phase flow in arid and semiarid soils

ABSTRACT: Based on the angle of repose calibration experiments, we were able to develop a coupled simulation model of soil wind erosion and two-phase flow in arid and semi-arid areas. To check the model's accuracy, the response value of the wind speed of sand initiation is used. The result of the simulation model's calibration was met by calibrated parameters and the threshold wind velocity as the response rate, with the relative difference between the starting wind speed measured by the high-speed camera in the wind tunnel test and the threshold wind velocity shown in the simulation model estimated to be 8. 7%.

Source link: https://doi.org/10.1590/1807-1929/agriambi.v26n8p564-570

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions