本文選題：黃土滑坡 + 地形起伏度��； 參考：《冰川凍土》2017年03期

【摘要】：以天水市轄區(qū)30 m分辨率的SRTM DEM數(shù)據(jù)為基礎(chǔ),首先利用GIS空間分析模塊中鄰域統(tǒng)計(jì)分析法,依次選取2×2、3×3、4×4、…、28×28、29×29、30×30共29個(gè)矩形鄰域分析窗口,運(yùn)用均值變點(diǎn)分析法進(jìn)行最佳計(jì)算單元的計(jì)算分析。結(jié)果表明:12×12的網(wǎng)格大小(12.96×10~4m~2)為曲線突變的拐點(diǎn),作為曲線由陡變緩的閾值,確定12×12的網(wǎng)格大小(12.96×10~4m~2)為研究區(qū)地形起伏度計(jì)算的最佳單元,生成研究區(qū)地形起伏度分級(jí)圖。進(jìn)而采用確定性系數(shù)法(CF)、證據(jù)權(quán)法、信息量法和條件概率法對(duì)研究區(qū)發(fā)育的黃土滑坡災(zāi)害與地形起伏度之間的相關(guān)關(guān)系進(jìn)行了定量分析。研究結(jié)果表明,區(qū)內(nèi)地形起伏度影響因子層中地形起伏度60~120 m的分級(jí)因子層為黃土滑坡災(zāi)害的易發(fā)因子層,而其中60~90 m區(qū)間的值最大,為黃土滑坡災(zāi)害的優(yōu)勢(shì)因子區(qū)間,對(duì)滑坡的響應(yīng)最敏感。
[Abstract]:Based on the SRTM DEM data with a resolution of 30 m in Tianshui City area, firstly, by using the neighborhood statistical analysis method of GIS spatial analysis module, 2 脳 2 脳 3 脳 3 脳 4 脳 4, 2 脳 2 脳 3 脳 3 脳 4, 2 脳 2 脳 3 脳 3 脳 4, respectively. In this paper, 29 rectangular neighborhood analysis windows of 28 脳 28 脳 29 脳 29 脳 30 脳 30 are used to calculate and analyze the optimal calculation unit by means of mean value change point analysis. The results show that the mesh size of 12 脳 12 脳 12 (12.96 脳 10 ~ (4) m ~ (2) is the inflection point of curve abrupt change, as the threshold of curve from steep to slow, the 12 脳 12's mesh size is determined to be 12.96 脳 10 ~ (4) m ~ (2) as the best unit to calculate the topographic fluctuation degree of the study area, and the topographic relief grading map of the study area is generated. Then the deterministic coefficient method, the evidence weight method, the information quantity method and the conditional probability method are used to quantitatively analyze the correlation between the loess landslide disaster and the topographic fluctuation in the study area. The results show that the graded factor layer of the topographic fluctuation degree of 60 ~ 120 m is the vulnerable factor layer of loess landslide disaster, and the value of the range of 60 ~ 90 m is the largest, which is the dominant factor interval of loess landslide disaster. The response to the landslide is the most sensitive.
【作者單位】： 蘭州大學(xué)資源環(huán)境學(xué)院西部環(huán)境教育部重點(diǎn)實(shí)驗(yàn)室;甘肅省科學(xué)院地質(zhì)自然災(zāi)害防治研究所;中國科學(xué)院西北生態(tài)環(huán)境資源研究院冰凍圈科學(xué)國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金項(xiàng)目(41362014) 國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃“973計(jì)劃”項(xiàng)目(2014CB744703) 甘肅省科學(xué)院應(yīng)用研發(fā)項(xiàng)目(2012JK-07;2013JK-06;2013JK-07;2014JK-04;2014JK-05;2015JK-01;2017JK-01) 甘肅省青年基金項(xiàng)目(145RJYA314)資助
【分類號(hào)】：P642.22

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