基于灰色关联分析的蒙特卡罗法建立水库出库水质预测模型

运用灰色理论和蒙特卡罗方法相结合建立的水库出库水质预测模拟模型,首先采用灰色关联分析方法科学准确的识别出主要影响因素,接着用蒙特卡罗原理预测,克服了专家直接给定法的主观任意性,并且同时考虑多个主要因素对水质状况的影响,使预测出的结果客观、合理。     

鄂西清江三峡旅游资源多层次灰色评价

清江三峡位于湖北省西部长阳县境内,主要包括百岛湖,巴山峡和伴峡三个风景区,景区风景质量各具特色,规模不尽相同。其中,百岛湖风景区为国家级森林公园,是目前长阳县境内开发最早,景点功能较为齐全,旅游资源最为丰富的风景区;巴山峡以岩高峡险而著称,以峡谷,溶洞与革命纪念馆为特色;伴峡风景区多奇峰异洞,辅以盐池温泉的开发和巴民族廪君文化的展现更增添了伴峡风光的魅力。为了有助于当地旅游资源的开发和利用。结合清     

灰色聚类法在水环境质量评价中的应用

用灰色聚类法对乐山市境内的岷江、大渡河、体泉河的水环境质量进行评价，并与水质距离评价法、综合污染指数法进行比较。结果表明，灰色聚类法也是一种对水环境质量评价的实用方法。     

南黄海6.1级地震的灰色预测

曾用灰色系统方法预测１９９６年全年的地震趋势，本次南黄海Ｍｓ６．１级地震的发生表明震级和时间的预测效果较好，因而认为作为一种手段，灰色系统方法可以加入地震综合预报的行列     

模糊聚类分析法对哈密地下水监测网的优化研究

试用模糊聚类分析法将哈密地下水监测网点从原来的８个点优化为６个点．经研究较符合实际情况，实践研究了优化方法．     

Mathematical Methods for Spatially Cohesive Reserve Design

The problem of designing spatially cohesive nature reserve systems that meet biodiversity objectives is formulated as a nonlinear integer programming problem. The multiobjective function minimises a combination of boundary length, area and failed representation of the biological attributes we are trying to conserve. The task is to reserve a subset of sites that best meet this objective. We use data on the distribution of habitats in the Northern Territory, Australia, to show how simulated annealing and a greedy heuristic algorithm can be used to generate good solutions to such large reserve design problems, and to compare the effectiveness of these methods.     

基于灰度的生物炭pH值与N和K离子吸附研究

通过固定床石英管热解装置将稻壳、木薯秸秆及玉米秸秆在350、450、500、550、600℃进行充分热解制备生物炭,利用图像识别技术获得生物炭的RGB值（红、绿、蓝三个通道的颜色）及相应的灰度值,研究了生物炭灰度值与其水溶液中的pH值及阳离子（NH₄⁺-N及K⁺-K）吸附性能的关系.结果表明：3种生物炭的pH值随着灰度值的增加呈现“S”型增长趋势,并符合DoseResp模型,回归方程的决定系数（R²）分别为0.9766、0.9592和0.9219,残差平方和（RSS）均小于0.01;除玉米秸秆炭的K⁺-K吸附量与灰度值的关系为线性负相关外,3种生物炭的NH₄⁺-N和K⁺-K吸附量与灰度值之间满足一元高次非线性模型,R²范围在0.8595~0.9999.本研究为快速预测生物炭在水溶液中的pH值和阳离子吸附性能提供了理论基础.     

Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering

Previous work on the estimation of the invasiveness of insect pest species used a single Kohonen self-organising map (SOM) to quantify the invasion potential of each member of a set of species in relation to a particular geographic region. In this paper that method is critically compared to an alternative approach of calculating the invasive potential of insect pest species as an outcome of clustering of regional species assemblages. Data clustering was performed using SOM and k-means optimisation clustering and multiple trials were performed with each algorithm. The outcomes of these two approaches were evaluated and compared to the previously published results obtained from a single SOM. The results show firstly, due to the inherent variation between trials of the algorithms used, that multiple trials are necessary to determine reliable risk ratings, and secondly, that k-means clustering can be considered a more appropriate algorithm for this particular application, as it produces clusters of higher quality, as determined by objective cluster measures, and is far more computationally efficient than SOM.     

Study on the Comprehensive Tourism Development Pattern in Periphery Minority Area： A Case Study of Gannan Tibetan Autonomous Prefecture of Gansu Province, China

The paper took the human-land relations as a basic point, and the theories of tourism industry system and sustainable development as the guidance, with Gannan Tibetan Autonomous Prefecture （Gannan） as the case study area. From microcosmic and macroscopic viewpoints, the author carded out function orientation and evaluation to the tourism industry development, and research on the comprehensive tourism industry development pattern of Gannan. Results show that the fragile ecological environment and the traditional economic growth pattern have restricted regional sustainable development, and made Gannan to become a representative of the periphery minority areas in Northwest China. Tourism development of Gannan is at the primary phase, with the characteristics of short industry chain and low economic efficiency. It is an inevitable choice to transform the way of regional economic growth and the development pattern of tourism industry from the traditional pattern to the pattern of sustainable development. Simultaneously, Gannan＇s natural, national and religious culture makes Gannan a broad prospect on the comprehensive tourism development. Gannan should choose the comprehensive tourism industry as its scientific pattern to realize sustainable development, promote harmonious social, economic and ecological development, alleviate the human-land contradictory, and realize dual goals in terms of ecology construction and economical development. For Gannan and the similar areas in China, studies on the sustainable development pattern of tourism have extremely important strategic sense with respect to tourism development and the sustainable development of regional economy.     

煤与瓦斯突出预测综合指标F临界值研究

为了更加准确的预测掘进工作面煤与瓦斯突出,防止灾害事故的发生,针对“三率”各评价指标与掘进工作面煤与瓦斯突出预测综合指标具有区间型属性特性,运用灰靶决策理论,提出了基于熵值加权法与多指标加权灰靶相耦合的决策模型。该模型引入“奖优罚劣”变换算子,对样本矩阵进行无量纲初始化处理,结合改进的熵值法确定指标权重,构建了综合指标F临界值的决策模型,将综合指标F值在200~400内以10为步长形成了21个评价方案,对综合指标F的临界值进行研究。最后,通过在章村煤矿的现场实际应用,证实了该模型的有效性与实用性。