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IAEA: 'No immediate risk' to Zaporizhzhia from dam damage（图）
原子能机构 扎波罗热核电站 新卡霍夫卡大坝
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2023/6/12
The International Atomic Energy Agency (IAEA) says the impact of the damage to the dam on cooling water supplies to the Zaporizhzhia nuclear power plant is being monitored but alternative sources of w...
MIT researchers develop an AI model that can detect future lung cancer risk（图）
人工智能模型 检测肺癌风险 深度学习
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2023/6/20
The name Sybil has its origins in the oracles of Ancient Greece, also known as sibyls: feminine figures who were relied upon to relay divine knowledge of the unseen and the omnipotent past, present, a...
Lead toxicity risk factors in Philadelphia（图）
费城 铅中毒 危险因素 高血铅水平
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2023/7/11
Philadelphia is the poorest large city in the United States. It’s also unusual in having a high proportion of homeowners compared to renters. Taken together, this means that poorer homeowners may lack...
1D-2D MODELING OF URBAN FLOODS AND RISK MAP GENERATION FOR THE PART OF HYDERABAD CITY
Stormwater Urban Flood Modeling Zone XIII SWMM PCSWMM
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2019/2/27
Space for water is now becoming guiding principle of urban planning because urban flooding is the major problem facing by most of the cities in India. Urban development in developing countries like In...
MODELING OF PARAMETERS FOR FOREST FIRE RISK ZONE MAPPING
Criteria Based Weight Risk Zonation Fire sensitivity Topographic map AHP
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2019/2/27
Forest fire has been regarded as one of the major reasons for the loss of biodiversity and dreadful conditions of environment. Global warming is also increasing the incidence of forest fire at an alar...
FLOOD RISK ASSESSMENT OF RIVER KABUL AND SWAT CATCHMENT AREA: DISTRICT CHARSADDA, PAKISTAN
Hazard, Vulnerability, Risk, Geographical information system (GIS), Remote sensing (RS), Disaster risk reduction (DRR), Participatory rural appraisal (PRA) tools, Weighted overlay
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2018/11/8
Pakistan is prone to natural hazards including floods, in particular, affecting millions of people each year across the country. Patterns from recent years suggest the intensity of flooding are increa...
HIGH-LEVEL-OF-DETAIL SEMANTIC 3D GIS FOR RISK AND DAMAGE REPRESENTATION OF ARCHITECTURAL HERITAGE
Cultural Heritage Semantic 3D Model Database
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2018/11/9
The need to share information about architectural heritage effectively after a disaster event, in order to foster its preservation, requires the use of a common language between the involved actors an...
2019年“一带一路”防灾减灾与可持续发展国际研讨会通知（1st-Announcement of International Conference on Silk-roads Disaster Risk Reduction and Sustainable Development May, 2019, Beijing, CHINA ）
2019年 一带一路 防灾减灾 可持续发展 国际研讨会 通知
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2018/7/31
The Silk Road Economic Belt and the 21st Century Maritime Silk Road (simply called “the Belt and Road” or “Silk roads”) covers more than 70 countries and 4.4 billion people (63% of the world). Due to ...
CITY-LEVEL ADULT STROKE PREVALENCE IN RELATION TO REMOTE SENSING DERIVED PM2.5 ADJUSTING FOR UNHEALTHY BEHAVIORS AND MEDICAL RISK FACTORS
PM2.5 stroke remote sensing health effect air pollution
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2018/5/14
This research explores the use of PM2.5 gird derived from remote sensing for assessing the effect of long-term exposure to PM2.5 (ambient air pollution of particulate matter with an aerodynamic diamet...
STUDY ON ECOLOGICAL RISK ASSESSMENT OF GUANGXI COASTAL ZONE BASED ON 3S TECHNOLOGY
Coastal Zone Landscape Pattern Ecological Risk Remote Sensing Geographic Information System
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2018/5/17
This paper takes Guangxi coastal zone as the study area, following the standards of land use type, divides the coastal zone of ecological landscape into seven kinds of natural wetland landscape types ...
Dynamic assessment of pollution risk of groundwater source area in Northern China
Dynamic Groundwater pollution risk assessment Groundwater source area
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2018/3/23
Based on the dynamic analysis and research of pollution risk of groundwater sources, this paper creates the dynamic assessment method of pollution risk of groundwater source area under the theory of “...
USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
flood risk data Machine Learning Prediction
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2018/4/18
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.
The prediction of flood incoming is a key factor to ensure c...
INFORMATION SYSTEM FRAMEWORK FOR INTEGRATED RISK ASSESSMENT FROM NATURAL DISASTERS
Information system Risk assessment Risk identification Risk analysis Risk evaluation GIS Natural disasters
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2018/4/18
In recent years around the world, and in particular in Bulgaria, there is a reported increase in the number and intensity of disasters caused by natural phenomena. An increase is observed in the adver...
INTEGRATION OF TERRESTRIAL AND UAV PHOTOGRAMMETRY FOR THE ASSESSMENT OF COLLAPSE RISK IN ALPINE GLACIERS
Forni Glacier Glaciology Photogrammetry Structure-from-Motion UAV/UAS
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2018/4/18
The application of Structure-from-Motion photogrammetry with ground-based and UAV-based camera stations can be effectively exploited for modeling the topographic surface of Alpine glaciers. Multi-temp...
USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
flood risk data Machine Learning Prediction
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2018/5/8
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.
The prediction of flood incoming is a key factor to ensure c...