Guest editorial to the special issue: Big data analysis and management: climate economics, meteorological hazards and environmental risk.
- Published in:
- 2021
- By:
- Publication type:
- Editorial
Works matching IS 0921030X AND DT 2021 AND VI 107 AND IP 3
Results: 33
1
2
Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2123, doi. 10.1007/s11069-021-04787-6
- By:
- Publication type:
- Article
3
Risk assessment model of agricultural drought disaster based on grey matter-element analysis theory.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2693, doi. 10.1007/s11069-021-04681-1
- By:
- Publication type:
- Article
4
A stochastic programming model for tactical product prepositioning at domestic hunger relief organizations impacted by natural hazards.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2263, doi. 10.1007/s11069-021-04639-3
- By:
- Publication type:
- Article
5
An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2671, doi. 10.1007/s11069-021-04630-y
- By:
- Publication type:
- Article
6
A regional Natech risk assessment based on a Natech-prone facility network for dependent events.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2155, doi. 10.1007/s11069-021-04612-0
- By:
- Publication type:
- Article
7
Modelling temperature extremes in the Limpopo province: bivariate time-varying threshold excess approach.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2227, doi. 10.1007/s11069-021-04608-w
- By:
- Publication type:
- Article
8
China's economic growth and haze pollution control.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2653, doi. 10.1007/s11069-021-04565-4
- By:
- Publication type:
- Article
9
Financing for sustainability: Empirical analysis of green bond premium and issuer heterogeneity.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2641, doi. 10.1007/s11069-021-04540-z
- By:
- Publication type:
- Article
10
A survey-based analysis of the public's willingness for disaster relief in China.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2205, doi. 10.1007/s11069-021-04538-7
- By:
- Publication type:
- Article
11
Disaster diaspora and the consequences of economic displacement and climate disruption, including Hurricanes Matthew (October 8, 2016) and Florence (September 14, 2018) in Robeson County, North Carolina.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2247, doi. 10.1007/s11069-021-04529-8
- By:
- Publication type:
- Article
12
Social media information sharing for natural disaster response.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2077, doi. 10.1007/s11069-021-04528-9
- By:
- Publication type:
- Article
13
How meteorological disasters affect the labor market? The moderating effect of government emergency response policy.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2625, doi. 10.1007/s11069-021-04526-x
- By:
- Publication type:
- Article
14
Haze risk: information diffusion based on cellular automata.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2605, doi. 10.1007/s11069-021-04521-2
- By:
- Publication type:
- Article
15
Spatiotemporal impact of major events on air quality based on spatial differences-in-differences model: big data analysis from China.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2583, doi. 10.1007/s11069-021-04517-y
- By:
- Publication type:
- Article
16
Construction and verification of a rainstorm death risk index based on grid data fusion: a case study of the Beijing rainstorm on July 21, 2012.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2293, doi. 10.1007/s11069-021-04507-0
- By:
- Publication type:
- Article
17
A simple Monte Carlo method for estimating the chance of a cyclone impact.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2573, doi. 10.1007/s11069-021-04505-2
- By:
- Publication type:
- Article
18
Bayesian network reasoning and machine learning with multiple data features: air pollution risk monitoring and early warning.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2555, doi. 10.1007/s11069-021-04504-3
- By:
- Publication type:
- Article
19
An empirical study on Twitter's use and crisis retweeting dynamics amid Covid-19.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2319, doi. 10.1007/s11069-020-04497-5
- By:
- Publication type:
- Article
20
Big data revealed relationship between air pollution and manufacturing industry in China.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2533, doi. 10.1007/s11069-020-04495-7
- By:
- Publication type:
- Article
21
Correction to: Uncertainty in the prediction and management of CO2 emissions: a robust minimum entropy approach.
- Published in:
- 2021
- By:
- Publication type:
- Correction Notice
22
The importance of data structure and nonlinearities in estimating climate impacts on outdoor recreation.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2053, doi. 10.1007/s11069-020-04484-w
- By:
- Publication type:
- Article
23
Integrated natural disasters urban resilience evaluation: the case of China.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2105, doi. 10.1007/s11069-020-04478-8
- By:
- Publication type:
- Article
24
The nonlinear time lag multivariable grey prediction model based on interval grey numbers and its application.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2517, doi. 10.1007/s11069-020-04476-w
- By:
- Publication type:
- Article
25
Impacts of the carbon emission trading system on China's carbon emission peak: a new data-driven approach.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2487, doi. 10.1007/s11069-020-04469-9
- By:
- Publication type:
- Article
26
Knowledge mapping analysis of research progress and frontiers in integrated disaster risk management in a changing climate.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2033, doi. 10.1007/s11069-020-04465-z
- By:
- Publication type:
- Article
27
The effect of directed technical change on carbon dioxide emissions: evidence from China's industrial sector at the provincial level.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2463, doi. 10.1007/s11069-020-04437-3
- By:
- Publication type:
- Article
28
Dynamic assessment and early warning of ecological security: a case study of the Yangtze river urban agglomeration.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2441, doi. 10.1007/s11069-020-04436-4
- By:
- Publication type:
- Article
29
Assessment of future climate change impact on rainfed wheat yield in the semi-arid Eastern High Plain of Algeria using a crop model.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2175, doi. 10.1007/s11069-020-04435-5
- By:
- Publication type:
- Article
30
Uncertainty in the prediction and management of CO2 emissions: a robust minimum entropy approach.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2419, doi. 10.1007/s11069-020-04434-6
- By:
- Publication type:
- Article
31
Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2389, doi. 10.1007/s11069-020-04429-3
- By:
- Publication type:
- Article
32
Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2363, doi. 10.1007/s11069-020-04427-5
- By:
- Publication type:
- Article
33
Information diffusion theory-based approach for the risk assessment of meteorological disasters in the Yangtze River Basin.
- Published in:
- Natural Hazards, 2021, v. 107, n. 3, p. 2337, doi. 10.1007/s11069-020-04418-6
- By:
- Publication type:
- Article