Floods have occurred frequently all over the world. During 2000–2020, nearly half (44.9%) of global floods in Belt and Road region because its complex geology, topography, climate. Therefore, providing an insight into spatial distribution characteristics flood susceptibility this is essential. Here, a database was established with 11 conditioning factors, 1500 flooded points, non-flooded points selected by improved method. Subsequently, rare combination logistic regression support vector...

Abstract. Floods have occurred frequently all over the world. During 2000–2020, nearly half (44.9 %) of global floods in Belt and Road region because its complex geology, topography, climate. However, degree flood susceptibility each sub-region country remains unclear. Here, based on 11 condition factors, support vector machine (SVM) model was used to generate a map. Then, we introduced comprehensive index (FSCI) for first time quantify levels sub-regions countries region. The results reveal...

Flash flood is one of the most devastating types disasters. Roads are linear strip structures exposed to natural environment and they vulnerable damage when flash occurs. Thus, an accurate assessment vulnerability for roads mandatory improvement transportation forecasting warnings. In this study, we constructed model assessing based on their exposure disaster reduction capability. Then, considering mechanism floods acting road, preliminarily established index system with analytic hierarchy...

Flash flood can cause dramatic damages to the infrastructure of transportation networks. Because uncertainty flash floods and access function roads, assessing impact on systems has been a great challenge. In this study, we proposed framework for evaluating risk posed by network, which considers interruption probability road links expected transportation. To assess interruption, used random forest model output susceptibility. Then, multiple centrality was evaluate when link interrupted. The...

The authors present a multigrid method for solving the one-dimensional (1-D) slab-geometry $S_N $ equations with isotropic scattering and no absorption. This scheme is highly compatible massively parallel computer architectures represents first step toward similar methods in curvilinear multidimensional geometries. Extensive theoretical analyses are given our which indicate that it extremely efficient. In fact, so efficient very nearly an exact solution technique. Results from calculations...

Climate change, population increase, and urban expansion have increased the risk of flooding. Therefore, accurately identifying future changing patterns in flood is essential. For this purpose, study elaborated a new framework for basin scale that employs land-use simulation model, factor spatialization technique, novel hybrid model scenario-based assessment 2030 2050. Three scenarios (i.e., natural growth scenario, cropland protection ecological scenario) were set applied Jinjiang Basin to...

The focus of this paper is on a parallel algorithm for solving the transport equations in slab geometry using multigrid. spatial discretization scheme used finite element method called modified linear discontinuous (MLD) scheme. MLD represents lumped version standard (LD) was implemented Connection Machine 2 (CM2). Convergence rates and timings CM2 Cray-YMP are shown.

A multigrid method for solving the one-dimensional slab-geometry ${\text{S}}_N $ equations with isotropic scattering and absorption is presented. The case no was treated in part I of this paper [Manteuffel, McCormick, Morel, Oliveira, Yang, SIAM J. Sci. Comput., 16 (1995), pp. 601–635]. Relaxation based on a two-cell inversion, which very efficient because it takes advantage structure problem. For interpolation we use kinked linear elements. kink amount present. restriction operator full...

Variations in surface physicochemical properties and spatial structures can prominently transform albedo which conversely influence energy balances global climate, making it crucial to continuously monitor quantify dynamics at fine scales. Here, we made two improvements propose an algorithm for the simultaneous retrieval of 30-m Landsat albedo, based on coupling Landsat-8 MODIS BRDF. First, kinds prior knowledge were added disaggregate BRDF, including Anisotropic Flat Index (AFX)...

Abstract Floods are one of the most serious natural disasters. Flood disaster losses in developing countries Belt and Road region more than twice global average. However, to date, extent vulnerability Region remains poorly understood. This study sought address this knowledge gap. In study, flood throughout was evaluated by adopting triangular fuzzy number-based analytic hierarchy process (TFN-AHP) support vector machine (SVM) model. According results, areas (47,105,300 km 2 ) is low or...

Based on the principle that selection of delay time and embedding dimension has no correlation in process phase space reconstruction, this paper puts forward a new method identifying by Cao Liangyue Theory (CAO Theory) after is identified Mutual Information Function. By means numerical verification few typical examples chaotic dynamic system, result shows can identify valid reconstruction best dimension. In addition, way signal provided effectively reconstruct original system from series.

Based on the artificial neural network (ANN), a model is established to describe relation of laser milling quality Al 2 O 3 ceramics with parameters. The are predicted in which input parameters consist power, scanning speed and defocus amount output include depth width. results show that mean error small, has good verifying precision excellent ability predicting. process can be chosen easily accurately improve processing milling.

This paper presents an approach to simulate dynamic phenomena of a flower including blooming and fading. Firstly, we constructed models according the flower's primary morphology data, especially taking five species throughout year for example, such as tulip, lily other kinds flowers. Secondly, algorithms simulations includes two phases: algorithm fading algorithm. The adjusts controlling points petal's Bezier curved surfaces process in procedure way, realizes simulation physically-based way...

Artificial neural networks were introduced in the area of laser milling. The prediction model surface quality milling parts, including width, depth cladding layer, was proposed based on back propagation (BP) networks. combined global optimization searching performance genetic algorithm and localization Five technical parameters selected to test reliability model. simulation experimental results show that evolutionary network can effectively overcome problem falling into local minimum point....