The research about subsurface characteristics by using transient electromagnetic method（TEM） and high density resistivity method（HDRM） were already conducted in Ordos. The objective of this research is to detect c...The research about subsurface characteristics by using transient electromagnetic method（TEM） and high density resistivity method（HDRM） were already conducted in Ordos. The objective of this research is to detect coalmine goaf areas based on rock resistivity. The data processing using wavelet transform, three point smoothing, RES2 DINV and Maxwell processing software to obtain 2D resistivity structure. The results showed that the layers with maximum resistivity values（30e33 U m on Line 1, 30e31 U m on Line 2, 32e40 U m on Line3） are founded at station 1e7, and 14e20 on Line 1,13e18 on Line 2, and 8e13 and 16e20 on Line 3 which is predicted as goaf layer, and the minimum resistivity values（20e26 U m of TEM, 45e75 U m of HDRM） at the other layers. This resistivity difference was caused by the geology and characteristics of the study area which is located close by the cleugh with rich coal, so the goaf area distinguishable with aquifer layer and coal seam. The results were also significant accidents and serious destruction of ecological environment.展开更多
基金supported by the Institute of Seismology Foundation, China Earthquake Administration (201326126)
文摘The research about subsurface characteristics by using transient electromagnetic method（TEM） and high density resistivity method（HDRM） were already conducted in Ordos. The objective of this research is to detect coalmine goaf areas based on rock resistivity. The data processing using wavelet transform, three point smoothing, RES2 DINV and Maxwell processing software to obtain 2D resistivity structure. The results showed that the layers with maximum resistivity values（30e33 U m on Line 1, 30e31 U m on Line 2, 32e40 U m on Line3） are founded at station 1e7, and 14e20 on Line 1,13e18 on Line 2, and 8e13 and 16e20 on Line 3 which is predicted as goaf layer, and the minimum resistivity values（20e26 U m of TEM, 45e75 U m of HDRM） at the other layers. This resistivity difference was caused by the geology and characteristics of the study area which is located close by the cleugh with rich coal, so the goaf area distinguishable with aquifer layer and coal seam. The results were also significant accidents and serious destruction of ecological environment.
文摘目的建立陕西省延安市成年人血清非高密度脂蛋白-胆固醇(non-high-density lipoprotein cholesterol,n-HDL-C)的参考区间并分析影响因素。方法采用随机整体抽样的方法,抽取2023年1~9月陕西省延安市10个乡镇16921例成人为研究对象。调查年龄、性别、吸烟、饮酒、锻炼、高血压、糖尿病、血脂异常、慢性病、居住、饮食习惯、婚姻状况、文化程度、月收入等。测量身高、体重、腰围和血压。检测血清三酰甘油(TG)、总胆固醇(TCHO)、高密度脂蛋白-胆固醇(HDL-C)、低密度脂蛋白-胆固醇(LDL-C)、载脂蛋白A1(ApoA1)、载脂蛋白B(ApoB)及脂蛋白a[Lp(a)]水平,计算n-HDL-C水平,n-HDL-C(mmol/L)=TCHO(mmol/L)-HDL-C(mmol/L)。按照WS/T402-2012《中华人民共和国卫生行业标准》建议的百分位数法计算95%参考区间(P_(2.5)~P_(97.5))。采用多因素Logistic回归分析影响血清n-HDL-C水平的影响因素。结果男性和女性血清n-HDL-C水平均呈非正态分布(S=2.119,2.091,均P<0.001)。男性>60岁血清n-HDL-C水平[2.98(2.50,3.37)mmol/L]与18~30岁[2.84(2.49,3.26)mmol/L],31~40岁[2.98(2.62,3.42)mmol/L],41~50岁[3.10(2.62,3.47)mmol/L]和51~60岁[3.05(2.64,3.46)mmol/L]比较,差异具有统计学意义(H=3.618~5.680,均P<0.05);女性51~60岁血清n-HDL-C水平[3.08(2.71,3.44)mmol/L]与18~30岁[2.64(2.29,3.07)mmol/L],31~40岁[2.67(2.31,3.08)mmol/L],41~50岁[2.94(2.58,3.29)mmol/L]比较(H=8.161~13.445,均P<0.001),>60岁血清n-HDL-C水平[2.98(2.57,3.34)mmol/L]与18~30岁、31~40岁、41~50岁比较,差异具有统计学意义(H=7.985~14.018,均P<0.001)。将无统计学意义的年龄组合并,得到成年人群血清n-HDL-C水平参考区间:男性18~60岁(1.97~3.97mmol/L),>60岁(1.86~3.91mmol/L);女性18~50岁(1.82~3.74mmol/L),>50岁(1.94~3.88mmol/L)。将纳入的16921例成人分为n-HDL-C水平正常组和异常组,两组血清TG(1.02±0.31 mmol/L vs 1.24±0.37mmol/L),TCHO(3.97±1.02 mmol/L vs 4.66±1.25 mmol/L),LDL-C(2.37±0.58mmol/L vs 2.59±0.67 mmol/L)水平及年龄(43.55±11.52岁vs 46.27±8.13岁)比较,差异具有统计学意义(t=2.041~3.151,均P<0.05),血清n-HDL-C水平异常率42.50%。经多因素Logistic回归分析,男性、锻炼缺乏、超重和肥胖、血脂异常、城市居民、高中及以上学历是该地区成年人血清n-HDL-C水平的影响因素(均P<0.05)。结论初步建立了该地区成年人血清n-HDL-C水平参考区间,男性、锻炼缺乏、超重和肥胖、血脂异常、城市居民、高中及以上学历是该地区成年人血清n-HDL-C水平异常的影响因素。
