Response to reviewer comments
暂无分享,去创建一个
G. Heiss | T. Thaler | S. Fuchs | M. Schlögl | G. Richter | M. Avian | G. Lenz
[1] Rudy Slingerland. Qualitative stability analysis of geologic systems, with an example from river hydraulic geometry , 1981 .
[2] G. Bonham-Carter. Geographic Information Systems for Geoscientists: Modelling with GIS , 1995 .
[3] D. Blake,et al. Chemical characteristics of tropospheric air over the tropical South Atlantic Ocean: Relationship to trajectory history , 1996 .
[4] D. Jacob,et al. Impact of biomass burning emissions on the composition of the South Atlantic troposphere: Reactive nitrogen and ozone , 1996 .
[5] J. Gutiérrez,et al. Accessibility in the European Union: the impact of the trans-European road network , 1996 .
[6] D. Jacob,et al. Global simulation of tropospheric O3-NOx-hydrocarbon chemistry , 1998 .
[7] Eric Jones,et al. SciPy: Open Source Scientific Tools for Python , 2001 .
[8] D. Jacob,et al. Constraints from 210Pb and 7Be on wet deposition and transport in a global three‐dimensional chemical tracer model driven by assimilated meteorological fields , 2001 .
[9] Serge P. Hoogendoorn,et al. State-of-the-art of vehicular traffic flow modelling , 2001 .
[10] Katja Berdica,et al. AN INTRODUCTION TO ROAD VULNERABILITY: WHAT HAS BEEN DONE, IS DONE AND SHOULD BE DONE , 2002 .
[11] M. Shirasawa,et al. Visualizing topography by openness: A new application of image processing to digital elevation models , 2002 .
[12] S. Margreth,et al. Winter opening of high alpine pass roads—analysis and case studies from the Swiss Alps , 2003 .
[13] J. Lamarque,et al. Tropospheric ozone over the tropical Atlantic: A satellite perspective , 2003 .
[14] M A P Taylor,et al. Network Vulnerability: An Approach to Reliability Analysis at the Level of National Strategic Transport Networks , 2003 .
[15] S. Weiss,et al. GLM versus CCA spatial modeling of plant species distribution , 1999, Plant Ecology.
[16] Saro Lee,et al. Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea , 2004 .
[17] Andreas Paul Zischg,et al. Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads , 2005 .
[18] Andreas Paul Zischg,et al. Temporal variability of damage potential on roads as a conceptual contribution towards a short-term avalanche risk simulation , 2005 .
[19] J. Seibert,et al. On the calculation of the topographic wetness index: evaluation of different methods based on field observations , 2005 .
[20] Glen M. D'Este,et al. Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks , 2006 .
[21] A. C. Seijmonsbergen,et al. Expert-driven semi-automated geomorphological mapping for a mountainous area using a laser DTM , 2006 .
[22] P. Palmer,et al. Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature) , 2006 .
[23] Tom Petersen,et al. Importance and Exposure in Road Network Vulnerability Analysis , 2006 .
[24] K. Bowman,et al. Implementation of cloud retrievals for Tropospheric Emission Spectrometer (TES) atmospheric retrievals: part 1. Description and characterization of errors on trace gas retrievals , 2006 .
[25] M. Kiefer,et al. Global peroxyacetyl nitrate (PAN) retrieval in the upper troposphere from limb emission spectra of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) , 2007 .
[26] M. Rossi,et al. The rainfall intensity–duration control of shallow landslides and debris flows: an update , 2008 .
[27] M. Ruff,et al. Landslide susceptibility analysis with a heuristic approach in the Eastern Alps (Vorarlberg, Austria) , 2008 .
[28] K. Bowman,et al. Effects of the 2006 El Niño on tropospheric composition as revealed by data from the Tropospheric Emission Spectrometer (TES) , 2008 .
[29] S. L. Kuriakose,et al. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview , 2008 .
[30] E. Jenelius. Network structure and travel patterns: explaining the geographical disparities of road network vulnerability , 2009 .
[31] Dylan B. A. Jones,et al. Analysis of tropical tropospheric ozone, carbon monoxide, and water vapor during the 2006 El Niño using TES observations and the GEOS‐Chem model , 2009 .
[32] C. N. Hewitt,et al. Overview: Oxidant and particle photochemical processes above a south-east Asian tropical rainforest (the OP3 project): Introduction, rationale, location characteristics and tools , 2009 .
[33] S. K. Akagi,et al. Emission factors for open and domestic biomass burning for use in atmospheric models , 2010 .
[34] C. Rheinberger. A Mixed Logit Approach to Study Preferences for Safety on Alpine Roads , 2011 .
[35] M. Luo,et al. Impacts of 2006 Indonesian fires and dynamics on tropical upper tropospheric carbon monoxide and ozone , 2011 .
[36] V. Payne,et al. Emission Ratios for Ammonia and Formic Acid and Observations of Peroxy Acetyl Nitrate (PAN) and Ethylene in Biomass Burning Smoke as Seen by the Tropospheric Emission Spectrometer (TES) , 2011, Atmosphere.
[37] F. Guzzetti,et al. Landslide inventory maps: New tools for an old problem , 2012 .
[38] D. Jacob,et al. The Effect of Peroxyacetyl Nitrate (PAN) Chemistry on Global Oxidant Distributions , 2013 .
[39] Frank Schultmann,et al. Adapting rail and road networks to weather extremes: case studies for southern Germany and Austria , 2014, Natural Hazards.
[40] T. Glade,et al. Landslide Susceptibility Maps for Spatial Planning in Lower Austria , 2013 .
[41] S. K. Akagi,et al. Pitfalls with the use of enhancement ratios or normalized excess mixing ratios measured in plumes to characterize pollution sources and aging , 2013 .
[42] T. Glade,et al. Landslide Inventories for Reliable Susceptibility Maps in Lower Austria , 2013 .
[43] A. Thieken,et al. The price of safety: costs for mitigating and coping with Alpine hazards , 2013 .
[44] Annegret H. Thieken,et al. Review article: assessing the costs of natural hazards - state of the art and knowledge gaps , 2013 .
[45] Martin Treiber,et al. Traffic Flow Dynamics , 2013 .
[46] T. Glade,et al. Landslide inventories for reliable susceptibility maps , 2014 .
[47] A. Robinson,et al. Trace gas emissions from combustion of peat, crop residue, domestic biofuels, grasses, and other fuels: configuration and Fourier transform infrared (FTIR) component of the fourth Fire Lab at Missoula Experiment (FLAME-4) , 2014 .
[48] S. Keller,et al. Mapping Natural Hazard Impacts on Road Infrastructure—The Extreme Precipitation in Baden-Württemberg, Germany, June 2013 , 2014, International Journal of Disaster Risk Science.
[49] J. Worden,et al. Satellite observations of peroxyacetyl nitrate from the Aura Tropospheric Emission Spectrometer , 2014 .
[50] Paul Chinowsky,et al. The infrastructure planning support system: Analyzing the impact of climate change on road infrastructure and development , 2014 .
[51] O. Korup,et al. Roads at risk: Traffic detours from debris flows in southern Norway , 2014 .
[52] M. Klose,et al. Landslide cost modeling for transportation infrastructures: a methodological approach , 2015, Landslides.
[53] C. Pfurtscheller. Regional economic impacts of natural hazards – the case of the 2005 Alpine flood event in Tyrol (Austria) , 2014 .
[54] M. Bíl,et al. An epidemiological approach to determining the risk of road damage due to landslides , 2014, Natural Hazards.
[55] R. Mechler. Volume 2 Chapter 6: Climate change impacts on the Anthroposphere , 2014 .
[56] T. Glade,et al. Effectiveness of visually analyzing LiDAR DTM derivatives for earth and debris slide inventory mapping for statistical susceptibility modeling , 2016, Landslides.
[57] A. Thieken,et al. Estimating flood damage to railway infrastructure – the case study of the March River flood in 2006 at the Austrian Northern Railway , 2015 .
[58] M. Bíl,et al. Evaluating road network damage caused by natural disasters in the Czech Republic between 1997 and 2010 , 2015 .
[59] C. Pfurtscheller,et al. Assessing entrepreneurial and regional‐economic flood impacts on a globalized production facility , 2015 .
[60] A. Hamlet,et al. Adapting transportation to climate change on federal lands in Washington State, U.S.A. , 2015, Climatic Change.
[61] Navid Khademi,et al. Transportation network vulnerability analysis for the case of a catastrophic earthquake , 2015 .
[62] M. Winter,et al. The Economic Impact of Landslides and Floods on the Road Network , 2016 .
[63] C. Bauer,et al. Indicative hazard maps for landslides in Styria; Austria , 2016 .
[64] M. Chipperfield,et al. Intercomparison and evaluation of satellite peroxyacetyl nitrate observations in the upper troposphere–lower stratosphere , 2016 .
[65] N. Pfeifer,et al. Evaluation of Shallow Landslides in the Northern Walgau (Austria) Using Morphometric Analysis Techniques , 2016 .
[66] M. Kaufmann,et al. Observations of PAN and its confinement in the Asian summer monsoonanticyclone in high spatial resolution , 2016 .
[67] Jie Yin,et al. Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China , 2016 .
[68] P. Bartelt,et al. Modelling wet snow avalanche runout to assess road safety at a high-altitude mine in the central Andes , 2016 .
[69] S. L. Gariano,et al. Landslides in a changing climate , 2016 .
[70] Matthias Schlögl,et al. Extreme weather exposure identification for road networks – a comparative assessment of statistical methods , 2016 .
[71] D. G. Mejuto. A Europe of multiple flows: Contested discursive integration in trans-European transport infrastructure policy-making: , 2017 .
[72] Vinayak Dixit,et al. Identifying critical disruption scenarios and a global robustness index tailored to real life road networks , 2017 .
[73] C. Matulla,et al. Climate Change driven evolution of hazards to Europe’s transport infrastructure throughout the twenty-first century , 2018, Theoretical and Applied Climatology.
[74] S. Oliveira,et al. Mapping landslide susceptibility using data-driven methods. , 2017, Science of the Total Environment.
[75] J. Worden,et al. PAN in the eastern Pacific free troposphere: A satellite view of the sources, seasonality, interannual variability, and timeline for trend detection , 2017 .
[76] R. Dawson,et al. The impact of flooding on road transport: A depth-disruption function , 2017 .
[77] Matthias Schlögl,et al. Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century , 2017 .
[78] J. Hillier,et al. Extending natural hazard impacts: an assessment of landslide disruptions on a national road transportation network , 2017 .
[79] S. L. Gariano,et al. Assessing future changes in the occurrence of rainfall-induced landslides at a regional scale. , 2017, The Science of the total environment.
[80] M. Bíl,et al. Identifying locations along railway networks with the highest tree fall hazard , 2017 .
[81] R. Greco,et al. Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds , 2017 .
[82] C. Reale,et al. Rainfall thresholds as a landslide indicator for engineered slopes on the Irish Rail network , 2018 .
[83] Bryan T. Adey,et al. Estimating network related risks: A methodology and an application in the transport sector , 2018, Natural Hazards and Earth System Sciences.
[84] Jim W Hall,et al. Critical infrastructure impact assessment due to flood exposure , 2018 .
[85] Nour-Eddin El Faouzi,et al. Road Network Resilience: How to Identify Critical Links Subject to Day-to-Day Disruptions , 2018, Transportation Research Record: Journal of the Transportation Research Board.
[86] M. Cavalli,et al. Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity , 2018, Natural Hazards and Earth System Sciences.