Quantitative evaluation of mining geo-environmental quality in Northeast China: comprehensive index method and support vector machine models

Jiang, Xue; Lu, Wenxi; Zhao, Haiqing; Yang, Qingchun; Chen, Mo

doi:10.1007/s12665-014-3953-7

Cited by 17 publications

(10 citation statements)

References 39 publications

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“…A comprehensive evaluation is key for comparative and decision-making analyses. There are many statistics-based methods, such as comprehensive index method [39], analytic hierarchy process [40], fuzzy mathematics method [41,42], multiple criteria decision making approaches [43,44], support vector machine [39,45], random forest [46], artificial neural networks [47], and Topsis method [42]. These methods are of great importance to qualitatively or quantitatively evaluate forest fire, forest sustainability, ecosystem management alternatives, and more.…”

Section: Compared With Statistics-based Methodsmentioning

confidence: 99%

“…These methods are of great importance to qualitatively or quantitatively evaluate forest fire, forest sustainability, ecosystem management alternatives, and more. [39][40][41][42][43][44][45][46][47]. However, some problems remain, such as the selection of the evaluation factors not being sufficiently comprehensive and objective, and unreasonable comprehensive evaluation methods with subjective factors and complex weight calculations lead to the evaluation results lacking comparability [39].…”

Section: Compared With Statistics-based Methodsmentioning

confidence: 99%

“…As a form of radial graphing, radar plots are composed of radii that are projected from the graph center, and the length of an individual radius corresponds to the measured value ( Figure 5). These values are usually connected to form an enclosed shape [10] and the sum of the formed triangle area is taken as the measurement basis [13,14,17,39]. The radar plot is useful for the presentation of multivariate data, especially in situations in which there are many independent variables, possibly with different measurement scales.…”

Section: Compared With Geometry-based Methodsmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Comprehensive Evaluation Method of Forest State Based on Unit Circle

Zhang¹,

Gao²,

Zhang³

et al. 2018

Forests

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Comprehensive evaluation of forest state is the precondition and critical step for forest management. To solve the problem that the radar plot and unit circle only focus on the value of each the evaluation index, this paper proposes a novel method for comprehensively and simultaneously evaluating the functionality and inhomogeneity of forest state based on the modified unit circle method. We evaluated the forest state of the Quercus aliena BL. var. acuteserrata Maxim. ex Wenz. broad-leaved mixed forest in the Xiaolong Mountains Forest Area of Gansu Province and the Pinus koraiensis Sieb. et Zucc. broad-leaved mixed forest in Jilin Province in China. According to the principle of comprehensive, scientific and operability, 10 evaluation indices on forest structure and vitality were selected to construct the evaluation indicator system. Each index was normalized based on the assignment method and ensured to be strictly positive based on reciprocal transformation method. The areas and arc length of the closed graph, formed by connecting every two adjacent indicators, in the radar plot and unit circle were extracted. Based on the isoperimetric theorem (isoperimetric inequality), a comprehensive evaluation model was constructed. Compared with radar chart and unit circle method, each index in the newly proposed unit circle method is represented by an independent sector region, reflecting the contribution of the index to the overall evaluation result. Each index has the same relative importance weight, contributing to the estimation the relative sizes of each aspect of forest state. The unique area and arc length of the closed graph help summarize the overall performance with a global score. The expression effect of improved unit circle has been enhanced, and as an English proverb put it, “A picture is worth a thousand words.” The new proposed method simultaneously evaluates the functionality and inhomogeneity of the forest state and it is a powerful tool for the diagnosis of forest state problems and the decision-making of forest management.

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Section: Compared With Statistics-based Methodsmentioning

confidence: 99%

Section: Compared With Statistics-based Methodsmentioning

confidence: 99%

Section: Compared With Geometry-based Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Comprehensive Evaluation Method of Forest State Based on Unit Circle

Zhang¹,

Gao²,

Zhang³

et al. 2018

Forests

View full text Add to dashboard Cite

show abstract

“…It is a class of kernel-based learning methods [33]. Now, the LSSVM has been widely used in forecasting [34][35][36], data fitting [37,38], comprehensive evaluation [39,40] and pattern recognition [41][42][43]. The steps are as follows.…”

Section: The Topsis Improved By the Grey Incidence Analysismentioning

confidence: 99%

Sustainability Evaluation of Power Grid Construction Projects Using Improved TOPSIS and Least Square Support Vector Machine with Modified Fly Optimization Algorithm

Niu

Dai

et al. 2018

Sustainability

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Abstract:The electric power industry is of great significance in promoting social and economic development and improving people's living standards. Power grid construction is a necessary part of infrastructure construction, whose sustainability plays an important role in economic development, environmental protection and social progress. In order to effectively evaluate the sustainability of power grid construction projects, in this paper, we first identified 17 criteria from four dimensions including economy, technology, society and environment to establish the evaluation criteria system. After that, the grey incidence analysis was used to modify the traditional Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), which made it possible to evaluate the sustainability of electric power construction projects based on visual angle of similarity and nearness. Then, in order to simplify the procedure of experts scoring and computation, on the basis of evaluation results of the improved TOPSIS, the model using Modified Fly Optimization Algorithm (MFOA) to optimize the Least Square Support Vector Machine (LSSVM) was established. Finally, a numerical example was given to demonstrate the effectiveness of the proposed model.

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“…For example, in 2011, Pilz, Marco and so on, taking Santiago, Chile as an example, studied the evaluation of urban seismic conditions and proposed the key factors for the evaluation of geological disasters [1]. In 2015, Jiang X et al proposed a common comprehensive index method and a new support vector machine (SVM) model, and compared them to evaluate the geological environment quality of mining [2]. Kong C et al presented an integrated technique using back-propagation neural network (BPNN) and geographic information system (GIS) to assess suitability for agricultural land based on geo-environmental factors in the rural-urban fringe [3]; Chen X et al used the weights-of-evidence method based on ArcGIS to evaluate the sensitivity of debris flow in Kangding County [4].…”

Section: Introductionmentioning

confidence: 99%

Geo-environmental Quality Evaluation Based on GIS in Shiyan-Wudang Mountain Area

Wang¹

2019

IJEPP

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The Shiyan-Wudang Mountain area is located in the Danjiangkou Reservoir Area, the upper reaches of the Han River, the hinterland of the Qinba Mountain Range. The main geological environmental problems in the region include collapse, landslides, debris flow, ground collapses, and ground fissures, which seriously restrict local economic development. Based on the analysis and summary of the distribution, development characteristics, formation conditions and influencing factors of geological disasters in this area, the multiple comparisons is used to select the formation complex, slope, distance from the fault zone, water yield property, distance from surface water system, average annual rainfall, mountain disaster point density, soil erosion, and human engineering activity intensity as the evaluation indicators, the geological environment quality evaluation index system of Shiyan-Wudang Mountain area was established; Geographic information system (GIS) technology is used to carry out hierarchical management of basic maps, and establish a spatial database of geological environment conditions. The analytic hierarchy process is used to determine the weight of the index system. The evaluation module developed by MapGIS platform is used to evaluate the geological environment quality of the study area. Respectively, the area of geological environment with best quality, good, poor and worst areas accounted for 56.805%, 22.800%, 16.474%, and 3.921%. The results show that the geological environment quality of the study area is generally good, and some areas are poor, and very few are bad. The calculated evaluation map is compared with the current geological disaster points, and the results verify the accuracy and scientificity of the evaluation process and results. The research results of this paper can provide a basis for regional geological environment management, planning, disaster prevention and mitigation.

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Quantitative evaluation of mining geo-environmental quality in Northeast China: comprehensive index method and support vector machine models

Cited by 17 publications

References 39 publications

A Novel Comprehensive Evaluation Method of Forest State Based on Unit Circle

A Novel Comprehensive Evaluation Method of Forest State Based on Unit Circle

Sustainability Evaluation of Power Grid Construction Projects Using Improved TOPSIS and Least Square Support Vector Machine with Modified Fly Optimization Algorithm

Geo-environmental Quality Evaluation Based on GIS in Shiyan-Wudang Mountain Area

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