Completeness theorems for $$\exists \Box $$-bundled fragment of first-order modal logic
In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 201, Heft 4
ISSN: 1573-0964
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In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 201, Heft 4
ISSN: 1573-0964
In: Journal of Third World studies: historical and contemporary Third World problems and issues, Band 24, Heft 2, S. 163-182
ISSN: 8755-3449
In: Journal of Asian and African studies: JAAS, Band 41, Heft 5-6, S. 521-523
ISSN: 1745-2538
In: China economic review, Band 31, S. 367-378
ISSN: 1043-951X
In: Social sciences in China, Band 35, Heft 3, S. 65-81
ISSN: 1940-5952
In: Journal of Chinese political science, Band 1, Heft 1, S. 7-41
ISSN: 1874-6357
In: International Geology Review, Band 57, Heft 3, S. 354-372
In: Natural hazards and earth system sciences: NHESS, Band 21, Heft 7, S. 2125-2144
ISSN: 1684-9981
Abstract. Landslide is a major natural hazard in Kyrgyzstan and Tajikistan. Knowledge about atmospheric triggering conditions and climatic disposition of landslides in Kyrgyzstan and Tajikistan is limited even though this topic has already been investigated thoroughly in other parts of the world. In this study, the newly developed, high-resolution High Asia Refined analysis version 2 (HAR v2) data set generated by dynamical downscaling was combined with historical landslide inventories to analyze the atmospheric conditions that initialized landslides in Kyrgyzstan and Tajikistan. The results indicate the crucial role of snowmelt in landslide-triggering processes since it contributes to the initialization of 40 % of landslide events. Objective thresholds for rainfall, snowmelt, and the sum of rainfall and snowmelt (rainfall + snowmelt) were defined. Thresholds defined by rainfall + snowmelt have the best predictive performance. Mean intensity, peak intensity, and the accumulated amount of rainfall + snowmelt events show similar predictive performance. Using the entire period of rainfall + snowmelt events results in better predictive performance than just considering the period up to landslide occurrence. Mean annual exceedance maps were derived from defined regional thresholds for rainfall + snowmelt. Mean annual exceedance maps depict climatic disposition and have added value in landslide susceptibility mapping. The results reported in this study highlight the potential of dynamical downscaling products generated by regional climate models in landslide prediction.
In: China economic review, Band 31, S. 426-440
ISSN: 1043-951X
In: International journal of forecasting, Band 35, Heft 1, S. 251-265
ISSN: 0169-2070
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In: Global Social Change Research Project, October 2012
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