【摘要】：以白龍江流域?yàn)檠芯繀^(qū)域,在收集資料和野外勘察的基礎(chǔ)上,選取地形地貌因子和地質(zhì)因子作為泥石流危險(xiǎn)性評(píng)價(jià)因子,并以柵格單元作為評(píng)價(jià)單元,對(duì)研究區(qū)內(nèi)外動(dòng)力環(huán)境因子進(jìn)行了分析。在此基礎(chǔ)上,基于信息熵與AHP模型分別建立了研究區(qū)泥石流危險(xiǎn)性評(píng)價(jià)模型。結(jié)果表明:基于信息熵模型的泥石流危險(xiǎn)等級(jí)分布與基于AHP模型的危險(xiǎn)性等級(jí)分布呈現(xiàn)出整體上相似,局部地區(qū)有差異的規(guī)律,但基于信息熵模型的評(píng)價(jià)分區(qū)結(jié)果與泥石流實(shí)際分布情況更為吻合。在大區(qū)域范圍內(nèi),基于信息熵模型的泥石流危險(xiǎn)性評(píng)價(jià)分區(qū)具有良好的可塑性和實(shí)用性,在地質(zhì)災(zāi)害預(yù)測(cè)方面具有重要的作用。
[Abstract]:Taking the Bailong River basin as the research area, on the basis of data collection and field investigation, the topographic and geomorphological factors and the geological factors are selected as the risk assessment factors of the debris flow, and the grid unit is used as the evaluation unit, and the internal and external dynamic environmental factors of the study area are analyzed. On this basis, the risk assessment model of debris flow in the research area is established based on the information entropy and the AHP model. The results show that the risk level distribution of the debris flow based on the information entropy model is similar to that of the hazard level distribution based on the AHP model, and the local area has the law of difference, but the result of the evaluation partition based on the information entropy model is more consistent with the actual distribution of the debris flow. The risk assessment of debris flow based on the information entropy model has good plasticity and practicability in the large area, and plays an important role in the prediction of geological disasters.
【作者單位】： 甘肅有色冶金職業(yè)技術(shù)學(xué)院;
【基金】：甘肅省科技計(jì)劃資助“基于無(wú)線傳感器網(wǎng)絡(luò)的礦山井下定位系統(tǒng)的開(kāi)發(fā)研究”(1304GKCC044) 甘肅省高等學(xué)校科研項(xiàng)目“基于無(wú)線傳感器網(wǎng)絡(luò)的地質(zhì)災(zāi)害預(yù)警系統(tǒng)的研究和開(kāi)發(fā)”(2015B-198)
【分類(lèi)號(hào)】：P642.23

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1 邢釗;基于信息熵與AHP模型的白龍江流域泥石流危險(xiǎn)性評(píng)價(jià)[D];蘭州大學(xué);2012年

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