人民长江
人民長江
인민장강
YANGTZE RIVER
2015年
15期
65-68
,共4页
范强%巨能攀%向喜琼%黄健
範彊%巨能攀%嚮喜瓊%黃健
범강%거능반%향희경%황건
信息量法%结果验证%地质灾害%易发性评价%开阳县
信息量法%結果驗證%地質災害%易髮性評價%開暘縣
신식량법%결과험증%지질재해%역발성평개%개양현
information quantity model%results validation%geohazard%susceptibility assessment%Kaiyang County
传统信息量法将所有评价因子的信息量值进行综合,未对评价因子作优化选择,选择带有主观性。鉴于此,采用结果验证对信息量法进行改进,选取工程岩组、断层、河流、道路、坡度、坡向、剖面曲率7个评价因子。首先利用地质灾害编录数据与评价因子进行空间叠加分析,计算单因子信息量,然后利用成功率曲线法评价单因子评价结果的模型拟合能力,按照模型拟合能力从高到低将单因子信息量排序,并依次进行总信息量试算,得到7组试算结果。最后对7组试算结果进行模型拟合能力评价,确定AUC为前4的因子组合为最优的因子组合。
傳統信息量法將所有評價因子的信息量值進行綜閤,未對評價因子作優化選擇,選擇帶有主觀性。鑒于此,採用結果驗證對信息量法進行改進,選取工程巖組、斷層、河流、道路、坡度、坡嚮、剖麵麯率7箇評價因子。首先利用地質災害編錄數據與評價因子進行空間疊加分析,計算單因子信息量,然後利用成功率麯線法評價單因子評價結果的模型擬閤能力,按照模型擬閤能力從高到低將單因子信息量排序,併依次進行總信息量試算,得到7組試算結果。最後對7組試算結果進行模型擬閤能力評價,確定AUC為前4的因子組閤為最優的因子組閤。
전통신식량법장소유평개인자적신식량치진행종합,미대평개인자작우화선택,선택대유주관성。감우차,채용결과험증대신식량법진행개진,선취공정암조、단층、하류、도로、파도、파향、부면곡솔7개평개인자。수선이용지질재해편록수거여평개인자진행공간첩가분석,계산단인자신식량,연후이용성공솔곡선법평개단인자평개결과적모형의합능력,안조모형의합능력종고도저장단인자신식량배서,병의차진행총신식량시산,득도7조시산결과。최후대7조시산결과진행모형의합능력평개,학정AUC위전4적인자조합위최우적인자조합。
The traditional information quantity model synthesizes all the evaluation factors without optimization, which is sub-jective. Therefore, the results validation is adopted to improve the information quantity model by selecting seven evaluation fac-tors, namely lithology, fault, stream, road, slope ratio, slope direction and profile curvature. Firstly, the geological logging data and the evaluation factors are employed to carry out an overlay analysis, so the information value of single factor is obtained. Sec-ondly, the success ratio curve method is used to evaluate the model fitting capacity of the single factor;the information quantity of evaluation factors are ranked according to the model fitting capacity, and seven sets of total information quantity are obtained by trial calculation. Finally, the calculation results are evaluated so as to provide an assessment to the model fitting capacity, and the combination of top 4 AUC factors is determined as the best.