Linking Inca Terraces with Landslide Occurrence in the Ticsani Valley, Peru DOI Creative Commons
Gonzalo Ronda, Paul M. Santi, Isaac E. Pope

et al.

Geosciences, Journal Year: 2024, Volume and Issue: 14(11), P. 315 - 315

Published: Nov. 18, 2024

Since the times of Incas, farmers in remote Andes Peru have constructed terraces to grow crops a landscape characterized by steep slopes, semiarid climate, and landslide geohazards. Recent investigations concluded that terracing irrigation techniques could enhance risk due increase water percolation interception surface flow unstable leading failure. In this study, we generated an inventory 170 landslides terraced areas assess spatial coherence, causative relations, geomechanical processes linking presence Inca 250 km2 area located Ticsani valley, southern Peru. To tool was developed based on confusion matrix approach. Performance parameters were quantified for close main rivers communities yielding precision recall values between 64% 81%. On larger scale, poor performance obtained pointing existence additional linked presence. investigate role other natural variables prediction, logistic regression analysis performed. The results showed terrace is statistically relevant factor bolsters predictions, apart from first-order like distance rivers, curvature, geology. explore potential slope failures, FEM numerical modeling conducted. Results suggested both decreased permeability increased irrigation, at 70% average annual rainfall, are capable inducing Overall, irrigated appear further promote instability infiltration fluvial erosion, high relief, geologic materials, exposing local risk.

Language: Английский

Analysis and early warning management of resource and environmental carrying capacity in agricultural provinces: A case study of Henan Province DOI Creative Commons
Weidong Chen,

Meng Lian

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0318848 - e0318848

Published: Feb. 12, 2025

Resources and Environmental Carrying Capacity (RECC) is a comprehensive concept that encompasses the interactions between resources, environment, human activities, serving as foundation for social development strategies. To adequately reflect this complex relationship, multi-level, multi-dimensional evaluation indicator system must be developed. This paper constructs regional soil environmental incorporating PM2.5 indicators, which in line with relevant protection policies planning orientations our country from 2014 to 2023. It analyzes level trend of RECC Henan Province proposes measures effective management. The results indicate following: (1) demonstrates downward trajectory, marked by temporary fluctuations over time. hit its nadir 2019, subsequently undergoing gradual resurgence; (2) Analysis individual dimension indicators reveals natural carrying capacity has declined medium relatively weaker level. Meanwhile, shown slight but generally remained stable. In contrast, socio-economic demonstrated an upward trend, rising strong terms early warning measures, it essential establish red zone, implement credit record accountability system, develop monitoring database along information technology platform. evaluating across different dimensions holds significant reference value assessing similar regions.

Language: Английский

Citations

0

Spatial Prediction of Soil Salinity: Remote Sensing and Machine Learning Approach DOI

Thenmozhi Thangarasu,

Hanan Abdullah Mengash, Randa Allafi

et al.

Journal of South American Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105440 - 105440

Published: Feb. 1, 2025

Language: Английский

Citations

0

Spatial-temporal evolution of landslides spanning the impoundment of Baihetan mega hydropower project revealed by satellite radar interferometry DOI
Jiaming Yao, Teng Wang, Xin Yao

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 321, P. 114668 - 114668

Published: Feb. 20, 2025

Language: Английский

Citations

0

Integrating Geospatial Techniques and Machine Learning for Assessing Soil Erosion and Associated Geomorphic Risks DOI

Priyadharshini V.M,

Ghadah Aldehim, Noha Negm

et al.

Journal of South American Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105463 - 105463

Published: Feb. 1, 2025

Language: Английский

Citations

0

Combined Effects of Reduced Tillage and Strip Intercropping on Soil Carbon Sequestration in Semi-Arid Environment DOI
Sana Rehman,

Shahzada Sohail Ijaz,

Atta Mohi Ud Din

et al.

Journal of soil science and plant nutrition, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Language: Английский

Citations

0

Automated Detection of Landslide Using Synergizing Dual Graph Convolutional Networks, Googlenet, And Machine Learning Techniques DOI

B Anuradha,

Hadeel Alsolai,

Randa Allafi

et al.

Journal of South American Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105457 - 105457

Published: March 1, 2025

Language: Английский

Citations

0

Integration of RUSLE model with remotely sensed data over Google Earth Engine to evaluate soil erosion in Central Indus Basin DOI Open Access
Shah Fahd, Muhammad Waqas, Zeeshan Zafar

et al.

Earth Surface Processes and Landforms, Journal Year: 2025, Volume and Issue: 50(3)

Published: March 6, 2025

Abstract Soil erosion presents a substantial environmental obstacle for farmers, especially in the plains of Indus Basin, which are characterised by rainfall scarcity. This study utilised remotely sensed data on Google Earth Engine (GEE) to estimate yearly soil implementing Revised Universal Loss Equation (RUSLE) model Central Basin. The study's primary objective was determine order importance and execute conservation strategies. input datasets were processed GEE produce essential factors, including erosivity ( R ), erodibility K slope length steepness LS land cover C ) management techniques P required model. area varied from 1 26.2 t ha −1 year . combined regions with low, moderate, high, extremely high rates amounted 445 397 ha. More precisely, 8670 (0.6%), 263 062 (18.2%) 468 310 (32.4%) allocated as first, second third‐class priority areas, respectively. These areas geographically dispersed across northwest eastern basin, sandy dunes infrequent agricultural cultivation. highlighted usability reliable estimation large scale. methodology amplifies effectiveness planning endeavours.

Language: Английский

Citations

0

Pixel-Wise Feature Fusion in Gully Susceptibility: A Comparison of Feed-Forward Neural Networks and Ensemble (Voting, Stacking) Models DOI Creative Commons
Vincent E. Nwazelibe, Johnson C. Agbasi, Daniel A. Ayejoto

et al.

Journal of African Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105633 - 105633

Published: March 1, 2025

Language: Английский

Citations

0

Approach to Treating Contaminated Water in Flood Scenarios in Brazil: Case Study of Arroio Dilúvio DOI
Letícia Reggiane de Carvalho Costa, Liliana Amaral Féris

Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(4)

Published: March 18, 2025

Language: Английский

Citations

0

Remote sensing-based flash flood mapping and damage assessment in Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan DOI
Asif Sajjad, Muhammad Ahmad, Rana Waqar Aslam

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)

Published: March 21, 2025

Language: Английский

Citations

0