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Flood damage costs beyond buildings—A Lake Champlain case study 洪水造成的损失超出了建筑物——尚普兰湖的案例研究
U.S. Geological Survey Fact Sheet Pub Date : 2023-01-01 DOI: 10.3133/fs20233034
Charles Rhodes
{"title":"Flood damage costs beyond buildings—A Lake Champlain case study","authors":"Charles Rhodes","doi":"10.3133/fs20233034","DOIUrl":"https://doi.org/10.3133/fs20233034","url":null,"abstract":"First posted October 5, 2023 For additional information, contact: Center Director, Science and Decisions CenterU.S. Geological Survey12201 Sunrise Valley Dr.Mail Stop 310Reston, VA 20192Contact Pubs Warehouse Floods account for more than 75 percent of Federal disaster declarations and lead other natural disasters in economic costs. Early-warning systems have lowered flood-related fatalities, but costs continue to rise as flood-prone areas continue to be urbanized (U.S. Geological Survey, 2006). A Lake Champlain case study shows that at moderate flood heights, the economic costs of non-structural damages or losses—such as temporary lodging, residential debris removal, commercial revenue losses, and road repair—can be greater than economic damages to buildings. For unprecedented flood heights, non-structural damages can still total more than 10 percent of structural damage costs.","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135956682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of a Surface-Water Index of Permanence to assess surface-water availability for ecohydrological refugia 建立地表水持久性指数以评估生态水文避难所的地表水可利用性
U.S. Geological Survey Fact Sheet Pub Date : 2023-01-01 DOI: 10.3133/fs20233045
Alynn Martin, Roy Sando, Lindsey Thurman, Kyle McLean, Patrick Wurster, John Jones, Anteneh Sarbanes
{"title":"Development of a Surface-Water Index of Permanence to assess surface-water availability for ecohydrological refugia","authors":"Alynn Martin, Roy Sando, Lindsey Thurman, Kyle McLean, Patrick Wurster, John Jones, Anteneh Sarbanes","doi":"10.3133/fs20233045","DOIUrl":"https://doi.org/10.3133/fs20233045","url":null,"abstract":"First posted October 13, 2023 For additional information, contact: Director, Wyoming-Montana Water Science CenterU.S. Geological Survey3162 Bozeman AvenueHelena, MT 59601 Surface-water availability has major implications for the environment and society in the 21st century. With climate change, increased drought severity, and altered water and land use, future water availability is predicted to continue to decline in many areas, including much of the western United States. An understanding of where and when water will be available at multiple scales is crucial for the planning and management of wildlife health, recreation, and energy development. Currently, indices describing water presence and permanence exist for specific surface-water components (for example, streams and wetlands); however, a general surface-water permanence index that includes all major surface-water components is lacking. Developing a Surface-Water Index of Permanence can provide a reliable metric to understand future river reach- to region-scale surface-water permanence and availability and inform land management and policy decisions.","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136305200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LANDFIRE LANDFIRE
U.S. Geological Survey Fact Sheet Pub Date : 2023-01-01 DOI: 10.3133/fs20233044
Jennifer L. Long, Timothy D. Hatten
{"title":"LANDFIRE","authors":"Jennifer L. Long, Timothy D. Hatten","doi":"10.3133/fs20233044","DOIUrl":"https://doi.org/10.3133/fs20233044","url":null,"abstract":"First posted October 10, 2023 For additional information, contact: LANDFIRE Help DeskEarth Resources Observation and Science Center U.S. Geological Survey 47914 252nd Street Sioux Falls, SD 57198 Landscape Fire and Resource Management Planning Tools (LANDFIRE) is a key national geospatial data source for strategic fire and resource management planning and analysis. LANDFIRE is the first complete, nationally consistent collection of more than 25 geospatial layers, databases, and ecological models at a 30-meter resolution that describe disturbance, vegetation, fire, and fuel characteristics. Because fires do not stop at ownership borders, LANDFIRE products by design support cross-boundary planning, management, and operations across all lands of the conterminous United States (CONUS), Alaska, Hawaii, and insular areas.","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The 3D Elevation Program—Supporting Idaho’s economy 3D高程项目——支持爱达荷州经济
U.S. Geological Survey Fact Sheet Pub Date : 2023-01-01 DOI: 10.3133/fs20233035
Tom Carlson
{"title":"The 3D Elevation Program—Supporting Idaho’s economy","authors":"Tom Carlson","doi":"10.3133/fs20233035","DOIUrl":"https://doi.org/10.3133/fs20233035","url":null,"abstract":"First posted October 10, 2023 For additional information, contact: Director, National Geospatial ProgramU.S. Geological Survey12201 Sunrise Valley Drive, Mail Stop 511Reston, VA 20192Email: 3DEP@usgs.gov Due to Idaho’s inland location approximately 350 miles from the Pacific Ocean and its 80 recognized mountain ranges, the State’s climate varies widely, with maritime influence in the northern and western parts of Idaho and continental influence on the eastern side. The weather in the abundant mountains is unpredictable and often associated with natural hazards such as severe thunder and lightning storms leading to flooding, landslides, and wildfires. Issues important to Idaho’s economy include river, stream, and forest resource management, and infrastructure and construction management. Idaho participated in the U.S. Geological Survey 3D Elevation Program (3DEP) in 2016, the State’s first 3DEP project. The success of this project led to development of the Idaho Statewide Lidar Plan. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The 3D Elevation Program—Supporting Oregon's economy 3D高程项目——支持俄勒冈州经济
U.S. Geological Survey Fact Sheet Pub Date : 2023-01-01 DOI: 10.3133/fs20233029
Tom Carlson
{"title":"The 3D Elevation Program—Supporting Oregon's economy","authors":"Tom Carlson","doi":"10.3133/fs20233029","DOIUrl":"https://doi.org/10.3133/fs20233029","url":null,"abstract":"First posted August 15, 2023 For additional information, contact: Director, National Geospatial ProgramU.S. Geological Survey12201 Sunrise Valley Drive, Mail Stop 511Reston, VA 20192Email: 3DEP@usgs.gov Oregon’s physical environments and vegetation are diverse. The varied geologic and climatic conditions combined with increasing population have created the need for high-quality elevation data that can be used for infrastructure management, forestry and wildfire management, agriculture, natural resources conservation, and other business uses. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136115435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Civil Applications Committee 民事申请委员会
U.S. Geological Survey Fact Sheet Pub Date : 2022-01-01 DOI: 10.3133/fs20223002
Daniel W. Opstal, Ross T. Rogers
{"title":"Civil Applications Committee","authors":"Daniel W. Opstal, Ross T. Rogers","doi":"10.3133/fs20223002","DOIUrl":"https://doi.org/10.3133/fs20223002","url":null,"abstract":"","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69286131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Colorado and Landsat 科罗拉多和陆地卫星
U.S. Geological Survey Fact Sheet Pub Date : 2022-01-01 DOI: 10.3133/fs20223004
{"title":"Colorado and Landsat","authors":"","doi":"10.3133/fs20223004","DOIUrl":"https://doi.org/10.3133/fs20223004","url":null,"abstract":"","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69286141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
South Carolina and Landsat 南卡罗来纳和地球资源卫星
U.S. Geological Survey Fact Sheet Pub Date : 2022-01-01 DOI: 10.3133/fs20223005
{"title":"South Carolina and Landsat","authors":"","doi":"10.3133/fs20223005","DOIUrl":"https://doi.org/10.3133/fs20223005","url":null,"abstract":"","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69286149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary 二氧化碳提高石油采收率和相关二氧化碳保留资源的国家评估。摘要
U.S. Geological Survey Fact Sheet Pub Date : 2022-01-01 DOI: 10.3133/fs20213057
P. Warwick, E. Attanasi, M. Blondes, S. Brennan, M. Buursink, Steven M. Cahan, Colin A. Doolan, P. Freeman, C. Karacan, Celeste D. Lohr, M. Merrill, R. Olea, J. Shelton, E. R. Slucher, B. A. Varela
{"title":"National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary","authors":"P. Warwick, E. Attanasi, M. Blondes, S. Brennan, M. Buursink, Steven M. Cahan, Colin A. Doolan, P. Freeman, C. Karacan, Celeste D. Lohr, M. Merrill, R. Olea, J. Shelton, E. R. Slucher, B. A. Varela","doi":"10.3133/fs20213057","DOIUrl":"https://doi.org/10.3133/fs20213057","url":null,"abstract":"","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69286115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
EverForecast—A near-term forecasting application for ecological decision support everforecast -一个生态决策支持的短期预测应用程序
U.S. Geological Survey Fact Sheet Pub Date : 2021-01-01 DOI: 10.3133/FS20213005
Saira M. Haider, S. Romañach, M. McKelvy, Kevin Suir, L. Pearlstine
{"title":"EverForecast—A near-term forecasting application for ecological decision support","authors":"Saira M. Haider, S. Romañach, M. McKelvy, Kevin Suir, L. Pearlstine","doi":"10.3133/FS20213005","DOIUrl":"https://doi.org/10.3133/FS20213005","url":null,"abstract":"The Greater Everglades is a vast, subtropical wetland ecosystem in South Florida that contains critical protected areas, harbors impressive biodiversity, and provides water resources for agricultural lands and one of the largest urban areas in the Nation. The region’s protected areas are highly altered by the construction of canals and levees, putting threatened and endangered species at risk. Furthermore, species of concern have different spatial and temporal hydrologic preferences, requiring managers to make tough decisions about optimal ways to distribute the water within the natural areas.","PeriodicalId":36286,"journal":{"name":"U.S. Geological Survey Fact Sheet","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69285380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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