Planation surface, a surface that is almost flat, is a kind of low-relief landforms. Planation surface is the consequence of the denudation and planation processes under a tectonic stable condition. The quantitative e...Planation surface, a surface that is almost flat, is a kind of low-relief landforms. Planation surface is the consequence of the denudation and planation processes under a tectonic stable condition. The quantitative expression of the characteristics of planation surface plays a key role in reconstructing and describing the evolutionary process of landforms. In this study, Landform Planation Index(LPI), a new terrain derivative, was proposed to quantify the characteristics of planation surface. The LPIs were calculated based on the summit surfaces formed according to the clustering results of peaks. Ten typical areas in the Ordos Platform located in the central part of the Loess Plateau of China are chosen as the test areas for investigating their planation characteristics with the LPI. The experimental results indicate that the LPI can be effectively used to quantify the characteristics of planation surfaces. In addition, the LPI can be further used to depict the patterns of spatial differentiation in the Ordos Platform. Although the present Ordos Platform area is full of the high-density gullies, its planation characteristics is found to be well preserved. Furthermore, the characteristics of the planation surfaces can also reflect the original morphology of the Ordos Platform before the loess dusts deposition process evolved in this area. The statistical results of the LPI show that there is a gradually increasing tendency along with the increasing of slope gradient of summit surface. It indicates that the characteristics of planation surfaces vary among test areas with different landforms. These findings help to deepen the understanding of planation characteristics of the loess landform and its underlying paleotopography. Results of this study can be also served as an important theoretical reference value for revealing the evolutionary process of loess landform.展开更多
Accurate flood prediction is an important tool for risk management and hydraulic works design on a watershed scale. The objective of this study was to calibrate and validate 24 linear and non-linear regression models,...Accurate flood prediction is an important tool for risk management and hydraulic works design on a watershed scale. The objective of this study was to calibrate and validate 24 linear and non-linear regression models, using only upstream data to estimate real-time downstream flooding. Four critical downstream estimation points in the Mataquito and Maule river basins located in central Chile were selected to estimate peak flows using data from one, two, or three upstream stations. More than one thousand paper-based storm hydrographs were manually analyzed for rainfall events that occurred between 1999 and 2006, in order to determine the best models for predicting downstream peak flow. The Peak Flow Index (IQP) (defined as the quotient between upstream and downstream data) and the Transit Times (TT) between upstream and downstream points were also obtained and analyzed for each river basin. The Coefficients of Determination (R2), the Standard Error of the Estimate (SEE), and the Bland-Altman test (ACBA) were used to calibrate and validate the best selected model at each basin. Despite the high variability observed in peak flow data, the developed models were able to accurately estimate downstream peak flows using only upstream flow data.展开更多
目的探究超声血流参数[收缩期峰值血流速度(Vs)、舒张末期血流速度(Vd)、阻力指数(RI)]、D-二聚体手术前后变化及复合模型在创伤骨折患者下肢深静脉血栓形成(DVT)预警中的应用价值。方法选取2021年7月—2023年7月收治的创伤骨折200例,...目的探究超声血流参数[收缩期峰值血流速度(Vs)、舒张末期血流速度(Vd)、阻力指数(RI)]、D-二聚体手术前后变化及复合模型在创伤骨折患者下肢深静脉血栓形成(DVT)预警中的应用价值。方法选取2021年7月—2023年7月收治的创伤骨折200例,根据术后是否发生下肢DVT分为发生组25例与未发生组175例。收集2组基线资料及手术前后Vs、Vd、RI、D-二聚体数据,根据创伤骨折患者术后下肢DVT发生影响因素构建预测复合模型,评估Vs、Vd、RI、D-二聚体手术前后差值联合及复合模型对创伤骨折患者术后下肢DVT发生的预测价值。绘制决策曲线分析(DCA),分析超声血流参数、D-二聚体与复合模型预测创伤骨折患者术后下肢DVT发生的获益情况。结果发生组手术时间长于未发生组,术中使用止血带比例高于未发生组(P<0.01);发生组术后3 d Vs、Vd低于未发生组,RI、D-二聚体高于未发生组(P<0.01);发生组Vs、Vd、RI及D-二聚体手术前后差值均大于未发生组(P<0.01);多因素Logistic回归分析显示,手术时间、术中使用止血带及Vs、Vd、RI、D-二聚体手术前后差值为创伤骨折患者术后下肢DVT发生的独立危险因素(P<0.01);以Vs、Vd、RI、D-二聚体手术前后差值联合预测下肢DVT的曲线下面积(AUC)为0.882(95%CI:0.829,0.923),敏感度、特异度均为0.88。构建下肢DVT预测模型,其AUC为0.920(95%CI:0.873,0.954);DCA显示,复合模型在阈值概率为0.10~0.90时具有更高的临床价值。结论手术时间、术中使用止血带及Vs、Vd、RI、D-二聚体手术前后差值为创伤骨折患者术后下肢DVT发生的独立危险因素;与Vs、Vd、RI、D-二聚体手术前后差值相比,多指标联合建立的复合模型在创伤骨折术后下肢DVT早期预警中应用价值更高。展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41201464,41471316)Priority Academic Program Development of Jiangsu Higher Education Institutions(No.164320H101)
文摘Planation surface, a surface that is almost flat, is a kind of low-relief landforms. Planation surface is the consequence of the denudation and planation processes under a tectonic stable condition. The quantitative expression of the characteristics of planation surface plays a key role in reconstructing and describing the evolutionary process of landforms. In this study, Landform Planation Index(LPI), a new terrain derivative, was proposed to quantify the characteristics of planation surface. The LPIs were calculated based on the summit surfaces formed according to the clustering results of peaks. Ten typical areas in the Ordos Platform located in the central part of the Loess Plateau of China are chosen as the test areas for investigating their planation characteristics with the LPI. The experimental results indicate that the LPI can be effectively used to quantify the characteristics of planation surfaces. In addition, the LPI can be further used to depict the patterns of spatial differentiation in the Ordos Platform. Although the present Ordos Platform area is full of the high-density gullies, its planation characteristics is found to be well preserved. Furthermore, the characteristics of the planation surfaces can also reflect the original morphology of the Ordos Platform before the loess dusts deposition process evolved in this area. The statistical results of the LPI show that there is a gradually increasing tendency along with the increasing of slope gradient of summit surface. It indicates that the characteristics of planation surfaces vary among test areas with different landforms. These findings help to deepen the understanding of planation characteristics of the loess landform and its underlying paleotopography. Results of this study can be also served as an important theoretical reference value for revealing the evolutionary process of loess landform.
文摘Accurate flood prediction is an important tool for risk management and hydraulic works design on a watershed scale. The objective of this study was to calibrate and validate 24 linear and non-linear regression models, using only upstream data to estimate real-time downstream flooding. Four critical downstream estimation points in the Mataquito and Maule river basins located in central Chile were selected to estimate peak flows using data from one, two, or three upstream stations. More than one thousand paper-based storm hydrographs were manually analyzed for rainfall events that occurred between 1999 and 2006, in order to determine the best models for predicting downstream peak flow. The Peak Flow Index (IQP) (defined as the quotient between upstream and downstream data) and the Transit Times (TT) between upstream and downstream points were also obtained and analyzed for each river basin. The Coefficients of Determination (R2), the Standard Error of the Estimate (SEE), and the Bland-Altman test (ACBA) were used to calibrate and validate the best selected model at each basin. Despite the high variability observed in peak flow data, the developed models were able to accurately estimate downstream peak flows using only upstream flow data.
文摘目的探究超声血流参数[收缩期峰值血流速度(Vs)、舒张末期血流速度(Vd)、阻力指数(RI)]、D-二聚体手术前后变化及复合模型在创伤骨折患者下肢深静脉血栓形成(DVT)预警中的应用价值。方法选取2021年7月—2023年7月收治的创伤骨折200例,根据术后是否发生下肢DVT分为发生组25例与未发生组175例。收集2组基线资料及手术前后Vs、Vd、RI、D-二聚体数据,根据创伤骨折患者术后下肢DVT发生影响因素构建预测复合模型,评估Vs、Vd、RI、D-二聚体手术前后差值联合及复合模型对创伤骨折患者术后下肢DVT发生的预测价值。绘制决策曲线分析(DCA),分析超声血流参数、D-二聚体与复合模型预测创伤骨折患者术后下肢DVT发生的获益情况。结果发生组手术时间长于未发生组,术中使用止血带比例高于未发生组(P<0.01);发生组术后3 d Vs、Vd低于未发生组,RI、D-二聚体高于未发生组(P<0.01);发生组Vs、Vd、RI及D-二聚体手术前后差值均大于未发生组(P<0.01);多因素Logistic回归分析显示,手术时间、术中使用止血带及Vs、Vd、RI、D-二聚体手术前后差值为创伤骨折患者术后下肢DVT发生的独立危险因素(P<0.01);以Vs、Vd、RI、D-二聚体手术前后差值联合预测下肢DVT的曲线下面积(AUC)为0.882(95%CI:0.829,0.923),敏感度、特异度均为0.88。构建下肢DVT预测模型,其AUC为0.920(95%CI:0.873,0.954);DCA显示,复合模型在阈值概率为0.10~0.90时具有更高的临床价值。结论手术时间、术中使用止血带及Vs、Vd、RI、D-二聚体手术前后差值为创伤骨折患者术后下肢DVT发生的独立危险因素;与Vs、Vd、RI、D-二聚体手术前后差值相比,多指标联合建立的复合模型在创伤骨折术后下肢DVT早期预警中应用价值更高。
