Let $i≥2$, $Δ≥0$, $1≤ a≤ b-Δ$, $n>\frac{(a+b)(ib+2m-2)}{a}+n'$ and $δ(G)≥\frac{b^{2}}{a}+n'+2m$, let $g,f$ be two integer-valued functions defined on $V(G)$ such that $a≤ g(x)≤ f(x)-Δ≤ b-Δ$ for each $x∈ V(G)$. In this article, it is determined $G$ a fractional $(g,f,n',m)$-critical deleted graph if $\max\{d_{1},d_{2},···,d_{i}\}≥\frac{b(n+n')}{a+b}$ any independent subset $\{x_{1},x_{2},..., x_{i}\}\subseteq The result tight set degree condition.

The focal point of this study is to assess the efficacy a state-of-the-art optimization technique namely, particle swarm (PSO) for enhancing performance artificial neural network (ANN) in modeling seismic landslides at Ludian districts, China. Twelve geological and hydrological landslide-conditioning factors elevation, lithology, slope degree, aspect, stream power index, peak ground acceleration, topographic wetness distance river, road, fault, normalized difference vegetation index plan...

Liupanshui City in Guizhou Province represents a karst mountainous region with delicate geological environment. The area has long history of coal mining, and several mines have been progressively closed recent years. However, even after closure mines, the fractured rock mass mined-out areas continues to undergo deformation over specific period. In regions, this is affected by various factors including elevation, slope, precipitation, vegetation. study, we employed SBAS-InSAR technology...

Fluctuations in reservoir water levels exert a strong triggering effect on landslides along banks, constituting long-term concern the safe operation of hydroelectric projects and prevention management geological disasters. While existing research has investigated impact periodic level changes deformation bank landslides, observation detection such are challenging, with noticeable gaps understanding how these deformations respond to during impoundment period. To address this, our study...

In complex mountainous areas where earthquakes are frequent, landslide hazards pose a significant threat to human life and property due their high degree of concealment, development mechanism, abrupt nature. view the problems existing hazard susceptibility evaluation model, such as poor effectiveness inaccuracy data need for experts participate in calculation large number factor weight classification statistics. this paper, combined SBAS-InSAR (Small Baseline Subsets-Interferometric...

Incorporating Interferometric Synthetic Aperture Radar (InSAR) data sources into the landslide susceptibility evaluation process has yielded favorable outcomes in some studies. However, there are fewer analyses of applicability InSAR monitoring, and a framework accurate effective grading criteria needs to be developed. To overcome these limitations, this study presents novel precise approach for assessment alpine valley regions. This method incorporates suitability monitoring introduces...

As urban construction has been leaping forward recently, large-scale land subsidence caused in Kunming due to the special hydrogeological conditions of city; scope stretched out, and rate rising year by year. a consequence, Kunming’s sustainable development seriously hindered. The PS-InSAR (Persistent Scatterer Interferometric Synthetic Aperture Radar) SBAS-InSAR (Small Baseline Subsets technologies were adopted process descending Sentinel-1A data stacks from July 2018 November 2020 monitor...

Accurate assessment and prediction of water shortage risk are essential prerequisites for the rational allocation management resources. However, conventional models based on Copulas have strict requirements data distribution, making them unsuitable extreme conditions such as insufficient volume indeterminate distribution shapes. These limitations restrict applicability result in lower evaluation accuracy. To address these issues, this paper proposes a model base Kernel Density Estimation...

The Yuanmou dry-hot valley has been confirmed as a typical area subjected to severe soil erosion in southwestern China. research on the deformation exhibited by dry-red that is extensively distributed this region takes critical significance deepening investigation of and water loss control efforts valley. In study, time series was established at different altitudinal gradients from March 2018 October 2022 using Small Baseline Subset InSAR (SBAS-InSAR) technology explore patterns Next,...

Accurate assessment and prediction of water shortage risk are essential prerequisites for the rational allocation management resources. However, previous models based on copulas have strict requirements data distribution, making them unsuitable extreme conditions such as insufficient volume indeterminate distribution shapes. These limitations restrict applicability result in lower evaluation accuracy. To address these issues, this paper proposes a model kernel density estimation (KDE) copula...

Time-series Interferometric Synthetic Aperture Radar (InSAR) technology, renowned for its high-precision, wide coverage, and all-weather capabilities, has become an essential tool Earth observation. However, the quality of interferometric baseline network significantly influences monitoring accuracy InSAR technology. Therefore, optimizing is crucial enhancing InSAR's accuracy. Surface vegetation changes can disrupt coherence between SAR images, introducing incoherent noise into...

The diffusion progress of grout is hindered by groundwater, which means the distance cannot reach designed values required in engineering for water plugging or reinforcement. In this study, based on generalized Darcy’s law and continuity equation steady column penetration, a mechanism Bingham fluid, considering displacement effect proposed. This then validated penetration grouting experiments that have been previously performed. influences pressure, groundwater water–cement ratio coefficient...

In this paper, we determine the Geometric-arithmetic indexand Zagreb indicesof fan molecular graph, wheel gear and their r-corona graphs.

The morphological changes in mountain glaciers are effective indicating the environmental climate change alpine ice sheet. Aiming at problems of single monitoring index and low prediction accuracy glacier deformation present, this study takes Meili Mountain western China as research object uses InSAR technology to construct time series 3D field from January 2020 December 2021. relationship between elevation, slope, aspect, albedo, surface organic carbon content, rainfall was revealed by grey...

As a cascading disaster, the surge caused by reservoir bank landslide seriously affects stability of and dam body. In addition, large-scale hydropower projects are usually built in mountain canyon areas with active geological structure movement, which provides rich material sources for occurrence landslides, so it is great significance to monitor deformation source area reservoir. science technology have been leaping forward, wide variety high novel technologies proposed, can be adopted...

Investigating the distribution characteristics of landscape ecological risk (LER) on terrain gradients is great significance for optimizing pattern ecologically vulnerable areas in mountainous regions and maintaining sustainable development environment. The Yuanmou Basin a typical area southwestern region China, where issues such as soil erosion are pronounced, becoming one main factors restricting regional economic development. This study selected area, and, using land use data from 2000,...

Abstract Feature point extraction technology has become a research hotspot in the photogrammetry and computer vision. The commonly used feature operators are SIFT operator, Forstner Harris operator Moravec etc. With high spatial resolution characteristics, UAV image is different from traditional aviation image. Based on these characteristics of unmanned aerial vehicle (UAV), this paper uses several referred above to extract points building images, grassland shrubbery vegetable greenhouses...

The DEM construction of high and steep slope has great importance to disaster monitoring.The conventional method used construct model requires larger field surveying workload.First all, the image was obtained through unmanned aerial vehicle (UAV) platform; Then SIFT algorithm is extract feature points which are going be matched accurately by using RANSAC algorithm.Finally, stereo pair splicing generate orthogonal images model.After comparing with actual measurement result collected total...

Images taken by UAVs have shadows due to terrain factors. The image pixel brightness of the shadow areas is compressed, and information deficient, which impacts recognition thus limits subsequent application. Therefore, removal crucial. Image enhancement algorithm capable improving whole partial contrasts images, highlighting detail information, removing shadows. Three classical optical algorithms are analyzed. analysis results show that would be enhanced excessively after histogram...

This paper deals with the modeling and simulation of air–steam gasification coal using Aspen Plus process simulator. The model is able to predict gas products, tar concentration, char yield where prediction accuracy presented has been validated against experimental measurements found be in a good agreement. effect particle size minimum fluidization velocity (Umin) explored through key operating parameters such as reaction temperature, equivalence ratio, steam/coal ratio. Maximum hydrogen...

Abstract. To address the issues of over-reliance on deformation data and model singularity in existing surface prediction methods high mountain canyon areas, this study proposes improvement Elman neural network using cuckoo search algorithm grey wolf optimization (CS-Elman GWO-Elman) from perspective multi-temporal multi-factor analysis. Firstly, area is monitored SBAS-InSAR PS-InSAR techniques. Then, optimal evaluation factors are determined 13 including digital elevation (DEM) slope...

High-resolution images can be obtained by using UAV technology, but the quality of is closely related to external factors when shooting, and determines effect matching images. The histogram equalization method a common image enhancement algorithm, it processes gray value each pixel cumulative probability distribution function obtain an "evenly" distributed histogram, get clear image, improve recognition. Based on this idea, paper exposed algorithm. Combined with SIFT feature point extraction...