基于信息熵與AHP模型的小區(qū)域泥石流危險性評價方法
發(fā)布時間:2019-08-24 16:44
【摘要】:以白龍江流域為研究區(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性評價因子,并以柵格單元作為評價單元,對研究區(qū)內(nèi)外動力環(huán)境因子進行了分析。在此基礎(chǔ)上,基于信息熵與AHP模型分別建立了研究區(qū)泥石流危險性評價模型。結(jié)果表明:基于信息熵模型的泥石流危險等級分布與基于AHP模型的危險性等級分布呈現(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價分區(qū)結(jié)果與泥石流實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性評價分區(qū)具有良好的可塑性和實用性,在地質(zhì)災(zāi)害預(yù)測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】:甘肅省科技計劃資助“基于無線傳感器網(wǎng)絡(luò)的礦山井下定位系統(tǒng)的開發(fā)研究”(1304GKCC044) 甘肅省高等學(xué)?蒲许椖俊盎跓o線傳感器網(wǎng)絡(luò)的地質(zhì)災(zāi)害預(yù)警系統(tǒng)的研究和開發(fā)”(2015B-198)
【分類號】:P642.23
本文編號:2529072
[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】:甘肅省科技計劃資助“基于無線傳感器網(wǎng)絡(luò)的礦山井下定位系統(tǒng)的開發(fā)研究”(1304GKCC044) 甘肅省高等學(xué)?蒲许椖俊盎跓o線傳感器網(wǎng)絡(luò)的地質(zhì)災(zāi)害預(yù)警系統(tǒng)的研究和開發(fā)”(2015B-198)
【分類號】:P642.23
【相似文獻】
相關(guān)碩士學(xué)位論文 前1條
1 邢釗;基于信息熵與AHP模型的白龍江流域泥石流危險性評價[D];蘭州大學(xué);2012年
,本文編號:2529072
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