Vote for your favorite mineral in #MinCup25! - Carpathite vs. Tugtupite
Battle of mineralogical oddities as organic mineral #carpathite battles against vs #tugtupite, a mineral that looks like reindeer blood!
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Zhang, Qi, Cui, Liang, Zhang, Jiquan, Liu, Xingpeng, Tong, Zhijun (2015) Grid based dynamic risk assessment for grassland fire disaster in Hulunbuir. Stochastic Environmental Research and Risk Assessment, 29 (2). 589-598 doi:10.1007/s00477-014-0909-0

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleGrid based dynamic risk assessment for grassland fire disaster in Hulunbuir
JournalStochastic Environmental Research and Risk Assessment
AuthorsZhang, QiAuthor
Cui, LiangAuthor
Zhang, JiquanAuthor
Liu, XingpengAuthor
Tong, ZhijunAuthor
Year2015 (February)Volume29
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-014-0909-0Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9339985Long-form Identifiermindat:1:5:9339985:8
GUID0
Full ReferenceZhang, Qi, Cui, Liang, Zhang, Jiquan, Liu, Xingpeng, Tong, Zhijun (2015) Grid based dynamic risk assessment for grassland fire disaster in Hulunbuir. Stochastic Environmental Research and Risk Assessment, 29 (2). 589-598 doi:10.1007/s00477-014-0909-0
Plain TextZhang, Qi, Cui, Liang, Zhang, Jiquan, Liu, Xingpeng, Tong, Zhijun (2015) Grid based dynamic risk assessment for grassland fire disaster in Hulunbuir. Stochastic Environmental Research and Risk Assessment, 29 (2). 589-598 doi:10.1007/s00477-014-0909-0
In(2015, February) Stochastic Environmental Research and Risk Assessment Vol. 29 (2) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Zhijun, Tong, Jiquan, Zhang, Xingpeng, Liu (2009) GIS-based risk assessment of grassland fire disaster in western Jilin province, China. Stochastic Environmental Research and Risk Assessment, 23 (4). 463-471 doi:10.1007/s00477-008-0233-7
Wang, Baozhen, Chen, Zhi (2015) A model-based fuzzy set-OWA approach for integrated air pollution risk assessment. Stochastic Environmental Research and Risk Assessment, 29 (5). 1413-1426 doi:10.1007/s00477-014-0994-0
Guo, Hongyue, Liu, Xiaodong, Song, Lixin (2015) Dynamic programming approach for segmentation of multivariate time series. Stochastic Environmental Research and Risk Assessment, 29 (1). 265-273 doi:10.1007/s00477-014-0897-0
Beran, Laurens, Zelt, Barry (2015) Risk assessment for unexploded ordnance remediation. Stochastic Environmental Research and Risk Assessment, 29 (3). 1051-1061 doi:10.1007/s00477-014-0956-6
Liu, Xiaojing, Zhang, Jiquan, Ma, Donglai, Bao, Yulong, Tong, Zhijun, Liu, Xingpeng (2013) Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China. Natural Hazards, 65. 1393-1409 doi:10.1007/s11069-012-0416-x
Zhang, Limao, Wu, Xianguo, Chen, Queqing, Skibniewski, Miroslaw J., Zhong, Jingbing (2015) Developing a cloud model based risk assessment methodology for tunnel-induced damage to existing pipelines. Stochastic Environmental Research and Risk Assessment, 29 (2). 513-526 doi:10.1007/s00477-014-0878-3
Chiou, Ing-Jia, Chen, Ching-Ho, Liu, Wei-Lin, Huang, Shiao-Mei, Chang, Yu-Min (2015) Methodology of disaster risk assessment for debris flows in a river basin. Stochastic Environmental Research and Risk Assessment, 29 (3). 775-792 doi:10.1007/s00477-014-0932-1
Zhao, Jun, Jin, Juliang, Guo, Qizhong, Liu, Li, Chen, Yaqian, Pan, Mei (2014) Dynamic risk assessment model for flood disaster on a projection pursuit cluster and its application. Stochastic Environmental Research and Risk Assessment, 28 (8). 2175-2183 doi:10.1007/s00477-014-0881-8
Gao, Chao, Zhang, Zhengtao, Zhai, Jianqing, Qing, Liu, Mengting, Yao (2015) Research on meteorological thresholds of drought and flood disaster: a case study in the Huai River Basin, China. Stochastic Environmental Research and Risk Assessment, 29 (1). 157-167 doi:10.1007/s00477-014-0951-y
Serinaldi, Francesco (2015) Dismissing return periods!. Stochastic Environmental Research and Risk Assessment, 29 (4). 1179-1189 doi:10.1007/s00477-014-0916-1
Liu, Pan, Lin, Kairong, Wei, Xiaojing (2015) A two-stage method of quantitative flood risk analysis for reservoir real-time operation using ensemble-based hydrologic forecasts. Stochastic Environmental Research and Risk Assessment, 29 (3). 803-813 doi:10.1007/s00477-014-0986-0
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 20, 2025 17:27:47
Go to top of page