Matches in SemOpenAlex for { <https://semopenalex.org/work/W857556186> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W857556186 abstract "Erosion from forest roads is a known problem in mountainous terrain. To abate these negative consequences, physical Best Management Practices (BMPs) are implemented, sometimes with no knowledge of erosion hot spots. With the need to minimize water quality impacts while at the same time accounting for multiple considerations and constraints, road BMP planning at the watershed scale is a difficult task. To assist in this planning process, a methodology is presented here that combines WEPP: Road erosion predictions with simulated annealing optimization. Under this methodology, erosion predictions associated with BMP options for a segment comprise the objective function of an optimization problem. This methodology was tested on a watershed in the Lake Tahoe Basin. WEPP: Road input data was gathered through road surveys. Modeling results predicted relatively little sediment leaving the forest buffer, as a result of numerous well-maintained BMPs and the dry climate found in the watershed. A sensitivity analysis for all WEPP: Road input parameters is presented, which provides insight into the general applicability of these erosion estimates as well as the relative importance of each input parameter. After evaluating erosion risk across the entire watershed, applicable BMPs were assigned to problem road segments and WEPP: Road was used to predict change in sediment leaving the buffer with BMP implementation at a given site. These predictions, combined with budget constraints as well as equipment scheduling considerations, were incorporated into an algorithm using simulated annealing as its optimization engine. Three modeled scenarios demonstrate the viability of this methodology in reducing total sediment leaving the road buffer over a planning horizon. Of the 173 segments surveyed, 38 segments could be treated using generic BMPs. For all three scenarios, BMP-SA reduced sediment leaving the buffer by as much as 70% over the course of a 20-year planning horizon. For the 38 segments treated with BMPs, sediment was reduced by greater than 90% over the planning horizon. This methodology is a viable approach for streamlining watershed-scale road network BMP planning, despite its heavy reliance on road erosion estimates." @default.
- W857556186 created "2016-06-24" @default.
- W857556186 creator A5089341483 @default.
- W857556186 date "2009-01-01" @default.
- W857556186 modified "2023-09-27" @default.
- W857556186 title "A Methodology for Planning Road Best Management Practices Combining WEPP: Road Erosion Modeling and Simulated Annealing Optimization" @default.
- W857556186 hasPublicationYear "2009" @default.
- W857556186 type Work @default.
- W857556186 sameAs 857556186 @default.
- W857556186 citedByCount "1" @default.
- W857556186 crossrefType "journal-article" @default.
- W857556186 hasAuthorship W857556186A5089341483 @default.
- W857556186 hasConcept C109162521 @default.
- W857556186 hasConcept C11413529 @default.
- W857556186 hasConcept C118518473 @default.
- W857556186 hasConcept C119857082 @default.
- W857556186 hasConcept C123157820 @default.
- W857556186 hasConcept C126589126 @default.
- W857556186 hasConcept C126980161 @default.
- W857556186 hasConcept C127313418 @default.
- W857556186 hasConcept C150547873 @default.
- W857556186 hasConcept C151730666 @default.
- W857556186 hasConcept C161840515 @default.
- W857556186 hasConcept C166957645 @default.
- W857556186 hasConcept C205649164 @default.
- W857556186 hasConcept C2778521444 @default.
- W857556186 hasConcept C39432304 @default.
- W857556186 hasConcept C41008148 @default.
- W857556186 hasConcept C58640448 @default.
- W857556186 hasConcept C97137747 @default.
- W857556186 hasConceptScore W857556186C109162521 @default.
- W857556186 hasConceptScore W857556186C11413529 @default.
- W857556186 hasConceptScore W857556186C118518473 @default.
- W857556186 hasConceptScore W857556186C119857082 @default.
- W857556186 hasConceptScore W857556186C123157820 @default.
- W857556186 hasConceptScore W857556186C126589126 @default.
- W857556186 hasConceptScore W857556186C126980161 @default.
- W857556186 hasConceptScore W857556186C127313418 @default.
- W857556186 hasConceptScore W857556186C150547873 @default.
- W857556186 hasConceptScore W857556186C151730666 @default.
- W857556186 hasConceptScore W857556186C161840515 @default.
- W857556186 hasConceptScore W857556186C166957645 @default.
- W857556186 hasConceptScore W857556186C205649164 @default.
- W857556186 hasConceptScore W857556186C2778521444 @default.
- W857556186 hasConceptScore W857556186C39432304 @default.
- W857556186 hasConceptScore W857556186C41008148 @default.
- W857556186 hasConceptScore W857556186C58640448 @default.
- W857556186 hasConceptScore W857556186C97137747 @default.
- W857556186 hasLocation W8575561861 @default.
- W857556186 hasOpenAccess W857556186 @default.
- W857556186 hasPrimaryLocation W8575561861 @default.
- W857556186 hasRelatedWork W1907078282 @default.
- W857556186 hasRelatedWork W2003066521 @default.
- W857556186 hasRelatedWork W2039073652 @default.
- W857556186 hasRelatedWork W2156071316 @default.
- W857556186 hasRelatedWork W2161766907 @default.
- W857556186 hasRelatedWork W2185428932 @default.
- W857556186 hasRelatedWork W2222854623 @default.
- W857556186 hasRelatedWork W2316873388 @default.
- W857556186 hasRelatedWork W2344653147 @default.
- W857556186 hasRelatedWork W2563147094 @default.
- W857556186 hasRelatedWork W2598995171 @default.
- W857556186 hasRelatedWork W2605079751 @default.
- W857556186 hasRelatedWork W2883761115 @default.
- W857556186 hasRelatedWork W2890542671 @default.
- W857556186 hasRelatedWork W2993692253 @default.
- W857556186 hasRelatedWork W3088199660 @default.
- W857556186 hasRelatedWork W3161698065 @default.
- W857556186 hasRelatedWork W3168529764 @default.
- W857556186 hasRelatedWork W322444039 @default.
- W857556186 hasRelatedWork W837505052 @default.
- W857556186 isParatext "false" @default.
- W857556186 isRetracted "false" @default.
- W857556186 magId "857556186" @default.
- W857556186 workType "article" @default.