Predicting PDF
Author: U.S. Department of Agriculture
Size: 44.54 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 47
View: 3520

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Die Erde

Die Erde PDF
Size: 80.32 MB
Format: PDF, Docs
Category : Geography
Languages : de
Pages : 442
View: 3649

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Theory And Practice Of Soil Loss Control In Eastern China

Theory and Practice of Soil Loss Control in Eastern China PDF
Author: J.C. Zhang
Publisher: Springer Science & Business Media
ISBN: 9781441996794
Size: 33.75 MB
Format: PDF, Mobi
Category : Nature
Languages : en
Pages : 281
View: 2370

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After the 1998 flood of the Yangtze River, one of the world’s most important rivers, environmental experts realized that, to control flooding, much more attention must be paid to vegetation cover on bare lands, thin forest land, and shrub-covered land in mountain areas. In 1999, an environmental monitoring project of the forests in 11 provinces of the Yangtze River basin was undertaken. This book reports on soil loss prediction and the successful practices of soil loss control in eastern China in recent years.

Predicting Rainfall Erosion Losses

Predicting Rainfall Erosion Losses PDF
Author: Walter H. Wischmeier
Size: 16.18 MB
Format: PDF, Docs
Category : Erosion
Languages : en
Pages : 58
View: 3628

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The Universal Soil Loss Equation (USLE) enables planners to predict the average rate of soil erosion for each feasible alternative combination of crop system and management practices in association with a specified soil type, rainfall pattern, and topography. When these predicted losses are compared with given soil loss tolerances, they provide specific guidelines for effecting erosion control within specified limits. The equation groups the numerous interrelated physical and management parameters that influence erosion rate under six major factors whose site-specific values can be expressed numerically. A half century of erosion research in many States has supplied information from which at least approximate values of the USLE factors can be obtained for specified farm fields or other small erosion prone areas throughout the United States. Tables and charts presented in this handbook make this information readily available for field use. Significant limitations in the available data are identified.

Ravine Lands Greening For Livelihood And Environmental Security

Ravine Lands  Greening for Livelihood and Environmental Security PDF
Author: Jagdish Chander Dagar
Publisher: Springer
ISBN: 9811080437
Size: 74.35 MB
Format: PDF, ePub, Docs
Category : Technology & Engineering
Languages : en
Pages : 636
View: 2744

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This book, the only one of its kind on ravine lands, reflects the significant advances made over the past two decades in our understanding of gully erosion, its controlling factors, and various aspects of gully erosion. It also addresses central research gaps and unanswered questions, which include historical studies on gully erosion to better understand the different stages of their formation; appropriate measuring techniques for monitoring or assessing the geological and hydrological parameters and processes involved in gully development; interaction of hydrological and other soil degradation processes; ecology and biodiversity of fragile ravines; impact of climate and environmental changes on soil erosion processes; development of effective and reliable gully erosion models; effective gully prevention and control measures; watershed-based management options; and ravine rehabilitation policies. The present book is a highly timely publication and deals with various aspects of ravine ecology and rehabilitation of degraded lands, particularly with the aid of biological approaches. As such, it offers a valuable guide for all scientists working in the fields of soil conservation / rehabilitation and agroforestry, students, environmentalists, educationists, and policymakers. More importantly, it focuses on the rehabilitation of one of the world’s most degraded and fragile ecosystems, ensuring the livelihoods of resource-poor farmers and landless families living in harsh ecologies that are more vulnerable to climate change.