A method for using WEPS to map wind erosion risk of Alberta soils

Coen, G. M.; Tatarko, John; Martin, Tim; Cannon, K.; Goddard, Tom; Sweetland, N. J.

doi:10.1016/s1364-8152(03)00121-x

Cited by 33 publications

(20 citation statements)

References 3 publications

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“…Nonetheless, numerous methods have been developed to map areas at risk from wind erosion (e.g., [101][102][103][104]) and operational dust forecasts have been developed at a number of centers around the world in recent years, many of these initiatives evolving as part of the WMO's Sand and Dust Storm Warning Advisory and Assessment System (SDS-WAS). Established in 2007, SDS-WAS works as an international network of research, operational centers and user groups such as health, aeronautical, and agricultural communities.…”

Section: Sds Impact Mitigationmentioning

confidence: 99%

Sand and Dust Storms: Impact Mitigation

2017

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Sand and dust storms (SDS) play an integral role in the Earth system but they also present a range of hazards to the environmental and economic sustainability of human society. These hazards are of considerable importance for residents of dryland environments and also affect people beyond drylands because wind erosion can occur in most environments and desert dust events often involve long-range transport over great distances (>1000 km). This paper makes an assessment of the scale of SDS impacts by totalling the countries affected using an appraisal of peer-reviewed published sources, arriving at a conservative estimate that 77% of all parties to the United Nations Convention to Combat Desertification (UNCCD) are affected directly by SDS issues. We then present a synthesis of the environmental management techniques designed to mitigate SDS hazards for disaster risk reduction and review policy measures, both historical and contemporary, for SDS impact mitigation. Although many SDS hazards are well-known, the processes involved and their impacts are not all equally well-understood. Policies designed to mitigate the impacts of wind erosion in agricultural areas have been developed in certain parts of the world but policies designed to mitigate the wider impacts of SDS, including many that are transboundary, are geographically patchy and have a much shorter history. Further development and wider implementation of such policies is advocated because of the recent marked increase in wind erosion and associated dust storms in several parts of the world.

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Section: Sds Impact Mitigationmentioning

confidence: 99%

Sand and Dust Storms: Impact Mitigation

2017

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“…The Texas Tech Erosion Analysis Model (TEAM), Wind Erosion Prediction System (WEPS), Wind Erosion Stochastic Simulator (WESS) and (Revised) Wind Erosion Equation (R)WEQ erosion simulation models are examples designed for research and land management applications (Coen et al, 2004;Gregory et al, 2004;Van Pelt et al, 2004;Visser et al, 2005). These physical process-based models were developed for input, processes, output and assumptions in North America, and unless adapted are not usefully applicable in Australia (Leys, 1999).…”

Section: Approaches To Wind Erosion Modellingmentioning

confidence: 99%

AUSLEM (AUStralian Land Erodibility Model): A tool for identifying wind erosion hazard in Australia

et al. 2006

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“…Many factors have been studied that can affect wind erosion, primarily related to wind speed, soil moisture, soil texture, vegetation cover, and human activity (Woodruff and Siddoway 1965;Hagen 1991;Hagen et al 1995;Dong et al 1996;Fryrear et al 1998;Shao et al 1996;Lu and Shao 2001;Gregory et al 2004;Coen et al 2004). However, the models used in these studies do not necessarily perform better than our model, which might be explained by the fact that the relationship between wind erosion with the model variables remains unclear or is very hard to determine (Woodruff and Siddoway 1965;Dong 1998).…”

Section: Quantitative Retrieval Of Wind Erosionmentioning

confidence: 99%

“…However, the WEQ, RWEQ, and TEAM models were developed on the basis of field observations, and it is difficult to extend these field observations beyond the regions where they were developed. In addition, the WEPS model is primarily functional on the point scale and cannot meet research needs for larger regional wind erosion estimations (Coen et al 2004). In general, the biggest shortcoming of these models is that they cannot be applied in regional dynamic wind soil erosion monitoring.…”

Section: Quantitative Retrieval Of Wind Erosionmentioning

confidence: 99%

The measurement of wind erosion through field survey and remote sensing: a case study of the Mu Us Desert, China

et al. 2015

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The measurement of wind erosion is not only important to understand wind erosion itself, but also an important scientific step in efforts to reverse the process of desertification. This study develops a model that predicts sand transport flux at pixel level based on the quantitative relationship between remotely sensed vegetation coverage and observed sand transport rate data. The data were collected from field surveys in the sandy area of Yuyang County, which is located in the Mu Us Desert. The study found that the sand transport flux was 9,643 kilograms per meter annually (kga -1 m -1 ) for a mobile dune, 6,394 kga -1 m -1 for a semi-mobile dune, 2,634.5 kga -1 m -1 for bare cultivated land, and 127.7 kga -1 m -1 for a semi-fixed dune. Using the sand flux derived by our model, the wind erosion modulus in the Yuyang sandy area was found to be 1 123Nat Hazards (2015) 76:1497-1514 DOI 10.1007/s11069-014-1516 increased in the region, while decreasing in some areas, and that the vegetation coverage incensement failed to reduce the quantity of regional wind erosion. This sand flux retrieval method has the potential for successful application in other, similar areas.

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A method for using WEPS to map wind erosion risk of Alberta soils

Cited by 33 publications

References 3 publications

Sand and Dust Storms: Impact Mitigation

Sand and Dust Storms: Impact Mitigation

AUSLEM (AUStralian Land Erodibility Model): A tool for identifying wind erosion hazard in Australia

The measurement of wind erosion through field survey and remote sensing: a case study of the Mu Us Desert, China

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