Increasing the Efficiency of Detailed Soil Resource Mapping on Transitional Volcanic Landforms Using a Geomorphometric Approach DOI Creative Commons
Ahmad Priyo Sambodo, Tanwa Arpornthip

Applied and Environmental Soil Science, Journal Year: 2021, Volume and Issue: 2021, P. 1 - 12

Published: May 31, 2021

For developing countries, detailed soil resource data and maps are essential in land-use planning. Unfortunately, obtaining for mapping is expensive. Detailed studies countries often use the grid method. In addition to being time-consuming, method needs a lot of sample points surveyors. Geomorphometry can be less expensive alternative mapping. uses computationally measured terrain characteristics describe other hard-to-measure properties. our study, landform arrangements slopes were analyzed together create map pH. Bompon watershed, Indonesia, was used as case study. Soil units with potentially similar pH created based on classification system two geomorphometric parameters. samples taken from each units. The samples' compared predicted result. Regression tests performed see significance parameters conditions. show that results p value four layers 0.046, 0.019, 0.037, 0.047, respectively, 5% confidence level. According test result, indicate conditions Bompon. Our estimate suggests cheaper than by factor seven. ability properties could enable cheap fast production countries.

Language: Английский

Land-use change from arable lands to orchards reduced soil erosion and increased nutrient loss in a small catchment DOI
Zhujun Chen, Lei Wang,

Ansheng Wei

et al.

The Science of The Total Environment, Journal Year: 2018, Volume and Issue: 648, P. 1097 - 1104

Published: Aug. 11, 2018

Language: Английский

Citations

117
Impacts of land use/land cover and climate changes on soil erosion in Muga watershed, Upper Blue Nile basin (Abay), Ethiopia DOI Creative Commons
Tatek Belay, Daniel Ayalew Mengistu

Ecological Processes, Journal Year: 2021, Volume and Issue: 10(1)

Published: Nov. 1, 2021

Soil erosion is one of the major threats in Ethiopian highlands. In this study, soil Muga watershed Upper Blue Nile Basin (Abay) under historical and future climate land use/land cover (LULC) change was assessed. Future LULC predicted based on map 1985, 2002, 2017. maps periods were delineated from Landsat images, using CA–Markov chain model. Precipitation for period projected six regional circulation models. The RUSLE model used to estimate current rate watershed. average annual study area increased about 15 t ha−1 year−1 1985 19 19.7 Expansion crop cultivation loss vegetation caused an increase erosion. Unless proper measure taken against changes, expected reach 20.7 2033. 2050s, by 9.6% 11.3% RCP4.5 RCP8.5, respectively, compared with baseline period. Thus, both scenarios due higher erosive power intense rainfall. When changes act together, mean shows a rise 13.2% 15.7% which synergistic effects. results can be useful formulating use planning investments mitigate adverse effect loss. Furthermore, will exacerbate existing problem would need vigorous conservation policies negative impacts

Language: Английский

Citations

65
Soil erosion estimation using RUSLE and GIS techniques—a study of a plateau fringe region of tropical environment DOI Open Access
Avijit Mahala

Arabian Journal of Geosciences, Journal Year: 2018, Volume and Issue: 11(13)

Published: June 27, 2018

Language: Английский

Citations

70
Soil erodibility mapping using the RUSLE model to prioritize erosion control in the Wadi Sahouat basin, North-West of Algeria DOI
Abderrezak Kamel Toubal, Mohammed Achite, Sylvain Ouillon

et al.

Environmental Monitoring and Assessment, Journal Year: 2018, Volume and Issue: 190(4)

Published: March 12, 2018

Language: Английский

Citations

66
Investigating effects of land use change scenarios on soil erosion using CLUE-s and RUSLE models DOI
Mohammad Zare, Aliakbar Nazari Samani, Majid Mohammady

et al.

International Journal of Environmental Science and Technology, Journal Year: 2017, Volume and Issue: 14(9), P. 1905 - 1918

Published: Feb. 28, 2017

Language: Английский

Citations

54
Analysis of the Impact of Land Use Changes on Soil Erosion Intensity and Sediment Yield Using the IntErO Model in the Talar Watershed of Iran DOI Open Access
Maziar Mohammadi, Abdulvahed Khaledi Darvishan, Velibor Spalević

et al.

Water, Journal Year: 2021, Volume and Issue: 13(6), P. 881 - 881

Published: March 23, 2021

Land use change is known as one of the main influencing factors on soil erosion and sediment production processes. The objective article to study how land impacts by using Intensity Erosion Outflow (IntErO) a process-oriented model. has been conducted under changes within period 1991–2014 in Talar watershed located northern Iran. GIS environment was used prepare required maps including Digital Elevation Model (DEM), geology, use, soil, drainage network. climatology data average annual precipitation air temperature well volume torrential rain were extracted from meteorological stations inside around watershed. results indicates that, 1991–2014, forest area decreased 12,478.04 ha (6%), while other uses rainfed agriculture, rangeland, irrigated residential increased 7248.25, 4481.05, 476.00, 273.95 ha, respectively. estimated outflow with 100 year return interval 432.14 m3 s−1 1991, which 446.91 2014. It can be concluded that probability larger and/or more frequent floods waves River expected increase. In addition, amount material (gross erosion) 1,918,186 2,183,558 yr−1, real losses per (sediment yield) 440,482.4 501,421.3 yr−1. clearly emphasized lack appropriate management planning leads increase maximum flow discharge yield

Language: Английский

Citations

35
Soil erosion prediction using Markov and CA-Markov chains methods and remote sensing drought indicators DOI

Marzieh Mokarram,

Abdol Rassoul Zarei

Ecological Informatics, Journal Year: 2023, Volume and Issue: 78, P. 102386 - 102386

Published: Nov. 25, 2023

Language: Английский

Citations

13
Agriculture Land Use Change and Demographic Change in Response to Decline Suspended Sediment in Južna Morava River Basin (Serbia) DOI Open Access
Sanja Manojlović, Mikica Sibinović, Tanja Srejić

et al.

Sustainability, Journal Year: 2021, Volume and Issue: 13(6), P. 3130 - 3130

Published: March 12, 2021

This study expounds the dynamic relationships among agricultural land-use change, rural population migration, and sediment transport. The variability of suspended load was detected by Mann–Kendall Pettitt tests. From 1961 to 2007, annual trend in concentration demonstrated significant reduction (α = 0.001), with decreasing rates 0.0144 g/L/y 84.7 t/y, respectively. An abrupt change-point 1984 for (p 0.0001). double-mass curve method regression analysis versus precipitation were used quantify effects climate change human activities on variations. changes predominantly impacted (89%), while explained 11% sediment. important recorded Južna Morava river basin comprised abandonment lands due depopulation processes, as well economic social changes, which followed impacts soil erosion Land most pronounced marginal mountain or semi-mountainous areas, where agriculture until recent decades traditional semi-traditional. results correlation matrix at p < 0.05 level, demonstrating that decrease population, land, arable land directly related decline High coefficients found between anthropogenic indicators parameters, ranging from 0.94 0.97.

Language: Английский

Citations

24
Identifying erosion hotspots and assessing communities' perspectives on the drivers, underlying causes and impacts of soil erosion in Toledo's Rio Grande Watershed: Belize DOI
Santos D. Chicas, Kiyoshi Omine,

J. B. Ford

et al.

Applied Geography, Journal Year: 2016, Volume and Issue: 68, P. 57 - 67

Published: Feb. 1, 2016

Language: Английский

Citations

31
A Random Forest-Based Approach to Map Soil Erosion Risk Distribution in Hickory Plantations in Western Zhejiang Province, China DOI Creative Commons
Cheng Zhenlong, Dengsheng Lu, Guiying Li

et al.

Remote Sensing, Journal Year: 2018, Volume and Issue: 10(12), P. 1899 - 1899

Published: Nov. 28, 2018

Increasing agroforestry areas with improper management has produced serious environmental problems, such as soil erosion. It is necessary to rapidly predict the spatial distribution of erosion risks in a large area, but there lack approaches that are suitable for mountainous regions. The objective this research was develop an approach can effectively employ remotely-sensed and ancillary data, map ecosystem region. This employed field survey soil-type maps, digital elevation model weather station Landsat imagery, extraction potential variables. used random forest identify eight key variables—slope, slope slope, normalized difference greenness index at leaf-on season, organic matter, fractional vegetation leaf-off precipitation June, percent clay—for mapping risk hickory plantations Western Zhejiang Province, China. results showed overall accuracy 89.8% obtained three levels risk. Approximately one-fourth were high-risk, requiring owners or decision makers take proper measures reduce problem. provides new risk, based on primary variables be extracted directly from data data. proposed will valuable other plantations, Torreya grandis, eucalyptus, rubber tree, playing important roles improving economic conditions local farmers face problems.

Language: Английский

Citations

28