Principles of Soil Erosion Risk Modeling DOI Creative Commons
Soheila Aghaei Dargiri, Davood Samsampour

IntechOpen eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: June 29, 2023

It is anticipated that modern agriculture practice patterns will accelerate soil erosion in a negative way. Evaluating the long-term impact of various management strategies on large farm gauge sustainable practices nutrients. To find areas at risk, there are generally three different methods used: qualitative research, statistical approach, and model approach. Each these approaches has distinctive features applications. The use geographic databases created using GIS technology improved all techniques recently. sustainability agricultural ecosystems worldwide severely threatened by low or nonexistent attention given to environmental assessments, which also seriously threaten systems. Both conventional field-based methodologies modeling can be employed quantify erosion. Agricultural automation increased along with accessibility finer scale global level data, strengthening agri-environmental related approaches. Due laborious, moment, limited flexibility, noncomparability methods, many advantages over assessments. examined models this season direction wind useful for forecasting highlighting most impacted while saving time resources.

Language: Английский

A comprehensive analysis of reservoir capacity loss: a case study of the Akhangaran Reservoir, Uzbekistan. DOI Creative Commons
Khojiakbar Khasanov

Water Cycle, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

2
Spatiotemporal changes of soil erosion rate in the pre-and post-dam construction periods (1990-2018) determined through RUSLE and GIS: the case of the Kavak River Basin, East Thrace, Türkiye DOI
Emre Özşahin

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Language: Английский

Citations

1
Soil Erosion - Risk Modeling and Management DOI
Shakeel Mahmood

IntechOpen eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: April 20, 2023

Soil erosion is a global environmental challenge with profound consequences for land, water, and ecosystems. This book, Soil Erosion - Risk Modelling Management, takes you on comprehensive exploration of the intricate science practical strategies understanding, predicting, addressing soil erosion. Inside pages this volume, you'll find wealth unique insights, innovative methodologies, illuminating case studies from diverse regions around world. Whether you're student, researcher, or practitioner, book an essential resource gaining deep understanding discovering effective solutions to critical issue. The delves into erosion, providing readers solid foundation in principles processes involved. It helps grasp underlying causes mechanisms making it invaluable students researchers related fields. vital that addresses one most pressing challenges our time. combines scientific insights solutions, tool anyone seeking understand, address, combat erosion's far-reaching impacts planet's health well-being.

Language: Английский

Citations

3
Enhancing reservoir dam’s management in Algeria: a comparative study of interpolation methods for topo-bathymetric surveys DOI

Ibtissem Mansouri,

Djamel Bengora,

Larbi Houichi

et al.

Modeling Earth Systems and Environment, Journal Year: 2023, Volume and Issue: 10(1), P. 943 - 955

Published: June 28, 2023

Language: Английский

Citations

2
Evaluation of sediment generation and transport: a case study of Thwake Dam in Kenya DOI Creative Commons

Gilbert Maiyo,

Peter K. Ndiba,

Patts M. Akumu Odira

et al.

Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(8), P. 3762 - 3774

Published: July 2, 2024

ABSTRACT The study aimed to evaluate sediment generation, transport, and deposition into the Thwake reservoir. This research sought assess transport patterns their potential impact on reservoir using regional numerical techniques. River basin constitutes 30% of dam's catchment area experiences high soil-loss due its semi-arid climate, steep slopes, lack vegetation. river system in sub-basin is ephemeral, with riverbed remaining dry throughout most year experiencing tidal flow only during storm events. Bed-material samples were collected from selected reaches, properties evaluated. involved analyzing datasets reservoir, catchment, sand-bed channel. Numerical models assessed hydrological information by considering interacting variables predicting sediment-yield estimates. findings indicated that sufficient bed material 3E would be deposited resulting delta formation approximately 5 km downstream tail waters at minimum dam operating level. mass cumulative inflow was estimated as between 14 26.3 metric tons per annum, representing loss useful life under 50 years.

Language: Английский

Citations

0
Principles of Soil Erosion Risk Modeling DOI Creative Commons
Soheila Aghaei Dargiri, Davood Samsampour

IntechOpen eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: June 29, 2023

It is anticipated that modern agriculture practice patterns will accelerate soil erosion in a negative way. Evaluating the long-term impact of various management strategies on large farm gauge sustainable practices nutrients. To find areas at risk, there are generally three different methods used: qualitative research, statistical approach, and model approach. Each these approaches has distinctive features applications. The use geographic databases created using GIS technology improved all techniques recently. sustainability agricultural ecosystems worldwide severely threatened by low or nonexistent attention given to environmental assessments, which also seriously threaten systems. Both conventional field-based methodologies modeling can be employed quantify erosion. Agricultural automation increased along with accessibility finer scale global level data, strengthening agri-environmental related approaches. Due laborious, moment, limited flexibility, noncomparability methods, many advantages over assessments. examined models this season direction wind useful for forecasting highlighting most impacted while saving time resources.

Language: Английский

Citations

1