Predicting the microbial exposure risks in urban floods using GIS, building simulation, and microbial models
نویسندگان
چکیده
منابع مشابه
Predicting microbial species richness.
Microorganisms are spectacularly diverse phylogenetically, but available estimates of their species richness are vague and problematic. For example, for comparable environments, the estimated numbers of species range from a few dozen or hundreds to tens of thousands and even half a million. Such estimates provide no baseline information on either local or global microbial species richness. We a...
متن کاملBuilding and Querying Microbial Ontology
The microbial taxonomy is based on the characteristics of microorganisms that can be objectively observed and measured. There are many scheme of microbial classification, but the latest is the three domain system and is the most accepted. Ontologies are the new form of knowledge representation that acts in synergy with agents and Semantic Web Architecture. Ontologies define domain concepts and ...
متن کاملMicrobial Ecology Exemplifies Building Ecology
Recent advances in molecular methods have dramatically improved knowledge of the microbial communities and their diversity in indoor environments. We have retrieved over 150 references with results of indoor microbial investigations and environmental factors. Representative papers are summarized here. The results show that buildings are complex, ecosystem-like, and that collaboration between mi...
متن کاملPredicting Future Urban Growth Limits Using ArcView Desktop GIS Software
Urban economics dictate that cities must grow to maintain their vitality. Small cities increase their population and economic base, thereby expanding their city limits. Large cities manage growth so that expansion is controlled, avoiding real estate and economic depressions. Former Albuquerque Mayor David Rusk argues in Cities Without Suburbs that cities with aggressive growth strategies prospe...
متن کاملMicrobial gene identification using interpolated Markov models.
This paper describes a new system, GLIMMER, for finding genes in microbial genomes. In a series of tests on Haemophilus influenzae , Helicobacter pylori and other complete microbial genomes, this system has proven to be very accurate at locating virtually all the genes in these sequences, outperforming previous methods. A conservative estimate based on experiments on H.pylori and H. influenzae ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Environment International
سال: 2013
ISSN: 0160-4120
DOI: 10.1016/j.envint.2012.10.006