Article
Geosciences, Multidisciplinary
Sergey Chalov, Viktor Ivanov
Summary: This paper presents a comparative study of sediment budgets for the largest Siberian rivers in Northern Eurasia. The data suggests that sediment sinks and storage in catchment and river networks dominate the sediment budget, leading to a significant decline in sediment transport compared to catchment erosion.
Article
Ecology
Xingjian Guo, Quanqin Shao, Ying Luo
Summary: This study used unmanned aerial vehicle remote sensing and the revised universal soil loss equation to evaluate the effects of different management measures on the soil conservation rate in the Loess Plateau. The results showed that human activities improved the soil conservation rate, with artificial management measures having a higher rate compared to non-artificial measures. Terraced structures had a significant impact on steep slopes, but also increased the risk of structural failure. The study provides guidance for future soil and water conservation measures and suggests adjustments to existing low-efficiency measures.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Tricia Melville, Mark Wuddivira, Michael Sutherland
Summary: This study aims to investigate event-based rainfall erosivity using two erosive rainfall indices and create iso-erodent lines using Global Precipitation Measurement Integrated Multi-satellite Retrievals (GPM IMERG). The results show that the EI30 index is a more appropriate indicator for predicting soil loss in humid tropical small island developing states (HuT-SIDS).
EARTH SCIENCE INFORMATICS
(2022)
Article
Green & Sustainable Science & Technology
Devendra Kumar, Arvind Dhaloiya, Ajeet Singh Nain, Mahendra Paal Sharma, Amandeep Singh
Summary: Soil erosion is a major concern at the watershed scale, with the study combining RUSLE modeling with remote sensing and GIS techniques to predict soil erosion in Nainital district, India. The results showed that the majority of the district is covered with forest, with annual average soil loss ranging from 20 to 80 t ha(-1) yr(-1) and prioritized watersheds for conservation efforts identified.
Article
Environmental Sciences
P. Sandeep, K. C. Arun Kumar, S. Haritha
Summary: The study estimated the average soil loss in the Amravati watershed of Tamil Nadu state in South India using the RUSLE model along with GIS and Remote Sensing techniques. The results showed that most of the watershed is at low risk of soil erosion, but there are also some areas with moderate to very high erosion risk.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Soil Science
Wanderson de Sousa Mendes, Jose A. M. Dematte, Nelida Elizabet Quinonez Silvero, Lucas Rabelo Campos
Summary: This study investigates the integration of PS and RS data sources to enhance Digital Soil Mapping efficiency, by applying deterministic and hybrid models to predict soil attributes and chi at different depths. The integration of PS and RS data proved to increase the predictive model power at subsurface levels, with the BSSI representing soil spectral signatures effectively. Traditional soil surveys have limitations in representing soil patterns, which can be addressed by PS and RS integration.
Article
Geosciences, Multidisciplinary
P. I. A. Kinnell
Summary: The EI30 index is an event erosivity index used for predicting unit plot soil loss. The index has issues of overpredicting small soil losses and underpredicting large soil losses. This problem arises from the failure of the USLE model to consider the direct effect of runoff on soil loss. The concept of erosivity density, along with the I30 index, provides an alternative erosivity index that incorporates the direct effect of runoff on soil loss.
Article
Water Resources
Mitiku Badasa Moisa, Daniel Assefa Negash, Biratu Bobo Merga, Dessalegn Obsi Gemeda
Summary: This study evaluates the impact of land-use change on soil erosion in the Temeji watershed, finding that the conversion of grassland and forest into cultivated land leads to high soil loss, and over-exploitation of forest and grasslands for agricultural purposes is directly related to the severity of soil loss.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)
Article
Soil Science
Nicolas Augusto Rosin, Jose A. M. Dematte, Raul Roberto Poppiel, Nelida E. Q. Silvero, Heidy S. Rodriguez-Albarracin, Jorge Tadeu Fim Rosas, Lucas Tadeu Greschuk, Henrique Bellinaso, Budiman Minasny, Cecile Gomez, Jose Marques Junior, Kathleen Fernandes
Summary: Minerals are crucial for soil functions and addressing global issues. Soil spectroscopy is a useful tool to measure mineral abundance. This study used spectral data and digital soil mapping techniques to estimate the abundance of minerals in Brazil. The predictions were validated and found to be accurate, revealing the spatial distribution of mineral abundances at a finer resolution than existing maps.
Article
Soil Science
Xiao-Lin Sun, Budiman Minasny, Hui-Li Wang, Yu-Guo Zhao, Gan-Lin Zhang, Yun-Jin Wu
Summary: The study highlights the importance of understanding spatiotemporal changes in soil conditions for food production, environmental sustainability, and climate change adaptation. The INLA-SPDE model shows promise in accurately predicting soil properties and accounting for uncertainties in spatiotemporal soil modeling. The study recommends the use of INLA-SPDE within a hierarchical model as an effective method in studying spatiotemporal soil change.
Article
Environmental Sciences
Wenfeng Gong, Tiedong Liu, Xuanyu Duan, Yuxin Sun, Yangyang Zhang, Xinyu Tong, Zixuan Qiu
Summary: The study examined soil erosion in a mountainous region of North China using satellite images and modeling techniques. The results show that forested land has increased while moderate soil erosion has decreased. Changes in land use have influenced the intensity of soil erosion, but the implementation of ecological measures has helped reduce it.
Article
Environmental Studies
Albert Poponi Maniraho, Richard Mind'je, Wenjiang Liu, Vincent Nzabarinda, Patient Mindje Kayumba, Lamek Nahayo, Adeline Umugwaneza, Solange Uwamahoro, Lanhai Li
Summary: The study examined the impact of land use and land cover dynamics on soil erosion risk in an agricultural area of Rwanda, utilizing a modified C-factor estimation approach. Results showed the need for urgent soil conservation planning in the region, with terracing identified as an effective practice for soil erosion control. The CvkA approach was found to provide reasonable soil loss prediction results in the western province of Rwanda.
Article
Engineering, Environmental
Johnbosco C. Egbueri, Ogbonnaya Igwe, Stanley I. Ifediegwu
Summary: This study evaluates the soil erosion risk in Anambra State, Nigeria using the Revised Universal Soil Loss Equation (RUSLE) and geoinformatics. The results show that the northern and western portions of the state have low to moderate soil loss, while the eastern and southern portions have high soil loss. Factors such as topography, soil erodibility, and rainfall are found to be the most important in determining soil loss.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Environmental Studies
Samuel Ferreira Pontes, Yuri Jacques Agra Bezerra da Silva, Vanessa Martins, Cacio Luiz Boechat, Ademir Sergio Ferreira Araujo, Jussara Silva Dantas, Ozeas S. Costa Jr, Ronny Sobreira Barbosa
Summary: The study investigated the variability of soil-erodibility factors under different soil-texture classes and found that diffuse reflectance spectroscopy (DRS) can be used to predict the USLE and RUSLE K-factors effectively.
Article
Geosciences, Multidisciplinary
Sumedh R. Kashiwar, Manik Chandra Kundu, Usha R. Dongarwar
Summary: The agricultural land of the whole world is deteriorating due to the loss of top fertile soil, reducing agricultural productivity and groundwater availability. The GIS-based RUSLE model is an efficient tool to evaluate soil erosion losses and provide decision support for policymakers.