Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions

Geoscience Frontiers, Journal Year: 2021, Volume and Issue: 13(2), P. 101317 - 101317

Published: Oct. 22, 2021

In some studies on landslide susceptibility mapping (LSM), boundary and spatial shape characteristics have been expressed in the form of points or circles inventory instead accurate polygon form. Different expressions boundaries shapes may lead to substantial differences distribution predicted indexes (LSIs); moreover, presence irregular introduces uncertainties into LSM. To address this issue by accurately drawing polygonal based LSM, uncertainty patterns LSM modelling under two different shapes, such as circles, are compared. Within research area Ruijin City China, a total 370 landslides with information obtained, 10 environmental factors, slope lithology, selected. Then, correlation analyses between selected factors performed via frequency ratio (FR) method. Next, support vector machine (SVM) random forest (RF) points, polygons constructed point-, circle- polygon-based SVM RF models, respectively, Finally, prediction capabilities above models compared computing their statistical accuracy using receiver operating characteristic analysis, LSIs discussed. The results show that surfaces higher reliability express can provide markedly improved accuracy, those circles. Moreover, degree is present expression because there too few grid units acting model input variables. Additionally, errors measurement not most cases. addition, conditions lower mean values larger standard deviations point- circle-based models. overall superior SVM, similar affecting reflected

Language: Английский

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Estimation of soil erosion risk in southern part of Syria by using RUSLE integrating geo informatics approach

Remote Sensing Applications Society and Environment, Journal Year: 2020, Volume and Issue: 20, P. 100375 - 100375

Published: Aug. 28, 2020

Soil erosion is one of the major problems that threatens agricultural production and sustainability natural resources in Syria. More than 85% Syrian land exposed to soil at different rates. The present study estimated eastern part Yarmouk Basin Al-Swida governorate (Southern Syria), by integrating Revised Universal Loss Equation (RUSLE) model Geographic Information System (GIS) approach. parameters used for RUSLE were prepared from climatic data, field satellite imageries. Results showed average erosivity was 374.19 MJ mm ha−1 h−1 yr−1, while K-factor ranged 0.22 0.36 ton.ha.MJ−1.mm−1, LS-factor reached 45% some places. potential 1.26 350.5 t ha− 1 yr− 1, with an 137.4 1. Meanwhile, ninety-five percent area experienced acceptable rate loss, which between 0 5 While, rest unacceptable rate, 350 Therefore, areas are need immediate conservation plan water point view.

Language: Английский

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Modeling of Soil Loss by Water Erosion and Its Impacts on the Cantareira System, Brazil

Water, Journal Year: 2023, Volume and Issue: 15(8), P. 1490 - 1490

Published: April 11, 2023

The Cantareira System is one of the largest water supply systems in world, supplying about half consumed by 22 million inhabitants Metropolitan Region São Paulo, southeastern Brazil. In this scenario, view climate change, silting a serious environmental threat and major challenge to sustainability reservoirs. Therefore, identifying provenance sediments an essential tool support soil conservation policies, slowing erosion processes mitigating deposition Thus, study aimed model losses—sediment production, System, based on RUSLE model—Revised Universal Soil Loss Equation, GIS—Geographic Information SR—Remote Sensing. work was conducted data obtained from online platforms Brazilian public institutions. results indicate average rate loss 13 Mg ha−1 yr−1, which corresponds annual 3 tons, 22% reaches bodies. also show that: (1) 66 % losses are below tolerance limits, and, 34% region, compromising resources; (2) areas with greatest predominantly located planted forests, agricultural crops non-vegetated areas; (3) sectors high rates require adoption conservationist practices at reducing sediment production thereby increasing improving quality.

Language: Английский

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Evaluation of monthly-scale soil erosion spatio-temporal dynamics and identification of their driving factors in Northeast China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 150, P. 110187 - 110187

Published: April 3, 2023

Soil water erosion has caused an enormous damage to agricultural production and ecosystems worldwide. exhibits certain seasonal variation patterns within year under the influence of multiple factors. In this study, we calculated multi-year average monthly-scale soil modulus from 2001 2019 evaluate risk using revised universal loss equation (RUSLE) in black region Northeast China. The results showed that annual was 8.53 t•ha−1•year−1, monthly 0.78 t•ha−1•month−1. months April-July October were identified as critical periods for erosion, with values 1.17, 1.89, 1.61, 1.13, 0.93 t•ha−1•month−1 during these five months, respectively. High mainly distributed southern Liaoning province western Inner Mongolia, high areas mostly regions complex landforms, grasslands, temperate climatic zone. Among driving factors, topographic factor LS (L = slope length, S steepness) one dominant factors determining spatial distribution pattern 30 % contribution. rainfall erosivity (R) cover management (C) major significantly intra-annual China 27.2 28.9 contribution, varied vegetation growth, period occurs early part wet season when intensity increases growth is insufficient protect soil. Our findings highlight need take dynamic into consideration RUSLE model importance identifying at so conservation actions.

Language: Английский

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A novel GIS-based multicriteria analysis approach for ascertaining the catchment-scale degradation of a Himalayan wetland

Environmental Research, Journal Year: 2023, Volume and Issue: 229, P. 115967 - 115967

Published: April 21, 2023

Language: Английский

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Study on Coupling and Coordination Relationship between Urbanization and Ecosystem Service Value in Jiangsu Province, China

Land, Journal Year: 2024, Volume and Issue: 13(2), P. 204 - 204

Published: Feb. 7, 2024

Urbanization has a significant negative impact on both the structure and function of ecosystems, as it is major part human-caused transformation natural landscapes. Concurrently, attenuation ecosystem service values (ESVs) poses critical impediments to urbanization imperils human well-being. Investigating interactive coupling coordination relationship between ESV paramount in informing urban development strategies environmental preservation efforts. Using Jiangsu Province representative case, this study forges an assessment index framework, estimates ESV, subsequently delves into multifaceted nexus ESV. The findings disclose gradual uptick levels Province, underscored by conspicuous regional disparities typified subregions southern Jiangsu, central northern mirroring high congruence observed economic subsystem. However, upward trajectory coincides with overarching descent most pronounced declines manifesting regions characterized elevated levels, such Nantong Suzhou. A robust interrelationship discernible throughout Province. Nevertheless, certain cities exhibit perturbations retrogression associations subsystems population disharmony while markedly lags. Additionally, several are witnessing progressive deterioration relationships (food production, soil conservation, gas regulation, raw material production) urbanization. In light these findings, recommended that governmental authorities enact measures harmonize preservation, safeguard integrity functions, facilitate sustainable management land resources.

Language: Английский

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Assessment of Intra-Annual and Inter-Annual Variabilities of Soil Erosion in Crete Island (Greece) by Incorporating the Dynamic “Nature” of R and C-Factors in RUSLE Modeling

Remote Sensing, Journal Year: 2020, Volume and Issue: 12(15), P. 2439 - 2439

Published: July 29, 2020

Under the continuously changing conditions of environment, exploration spatial variability soil erosion at a sub-annual temporal resolution, as well identification high-soil loss time periods and areas, are crucial for implementing mitigation land management interventions. The main objective this study was to estimate monthly seasonal rates by water-induced in Greek island Crete two recent hydrologically contrasting years, 2016 (dry) 2019 (wet), result Revised Universal Soil Loss Equation (RUSLE) modeling. impact dynamic RUSLE factors, namely rainfall erosivity (R) cover (C), explored using remotely sensed vegetation data time-series high resolution. Soil, topographical, use/cover were exploited represent other three static erodibility (K), slope length steepness (LS) support practice (P). estimated mapped presenting spatio-temporal distribution area on both intra-annual inter-annual basis. high-loss months/seasons areas achieved these maps. Autumn (about 35 t ha−1) with October 61 2016, winter 96 February (146 presented highest mean monthly, respectively, Summer (0.22–0.25 ha−1), its including months, showed lowest examined years. intense fluctuations R-factor found be more influential than stabilized tendency C-factor. In olive groves terms agricultural use Chania prefecture administrative division, detected most prone units erosion.

Language: Английский

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Spatiotemporal variation characteristics of sediment nutrient load from the soil erosion of the Yangtze River Basin of China from 1901 to 2010

Ecological Indicators, Journal Year: 2023, Volume and Issue: 150, P. 110206 - 110206

Published: April 6, 2023

Over the past 70 years, Yangtze River Basin-the third longest river basin in world-has been under influence of augmented human activities. Regarding environmental protection and policy design, total nitrogen phosphorus (TN TP, respectively) loads from soil erosion are objectively quantitatively critical parameters while assessing spatio-temporal changes over 1901–2010 period. First, our study area was calculated using Revised Universal Soil Loss Equation (RUSLE) model. Second, TN TP were assessed constructed Nutrient Empirical Model (NLEM). Third, we conducted spatial autocorrelation analysis, Mann-Kendall (M–K) trend tests, wavelet analysis erosion, related loads. At Datong Station period, average annual 1.77 0.56 million tonnes, respectively. Moran's I values indicates existence positive correlations, clustering prevailing distribution pattern. High-high (H-H) cluster areas mainly evident high-altitude region western southern Basin, conversely, low-low (L-L) scattered primarily regions with high population density intense increased rapidly around 2001; hence, 2001 a changing point. According to M–K test, time intersection at 1990; 1990 may have point, likely due operation Gezhouba Dam during 1981-1986. This trapped large amounts sediments. If sediment load data control hydrological station 12 sub-basins is available, SDR, load, AN AP calculation could be more accurate interpretable.

Language: Английский

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Estimating the Soil Erosion Response to Land-Use Change Using GIS-Based RUSLE and Remote Sensing: A Case Study of Heilongjiang Province, China

Sustainability, Journal Year: 2023, Volume and Issue: 15(10), P. 8004 - 8004

Published: May 14, 2023

Understanding soil erosion in the northeastern area of China with black is vital for protecting natural environment and preserving food security. Although spatial temporal studies have been conducted, further research needed on correlation between land use type changes. In this study, modulus computed using RUSLE. The model that most suitable to was produced by contrasting three different approaches estimating rainfall factor. RUSLE based multi-year continuous high-density hourly average precipitation had best performance bunch, a MAPE 15.49%, RMSPE 7.99%, R2 0.99. Based model, simulated trends study region from 1980 2020 were examined, along link change. results showed 40.47% overall made up cultivated land, 97.83% it low erosion. severe occurred unused moderate above occupying 48.93%. Since 2000, there has an increase region, which primarily spatially represented rise forests central northern mountainous areas. study’s findings serve as guide planning development sustainable agriculture.

Language: Английский

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Identifying critical riparian zones for eco-environmental management of the Yangtze River through pollution mapping

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124555 - 124555

Published: Feb. 17, 2025

Language: Английский

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