北运河水系底栖动物群落结构与水环境质量评价   总被引：2，自引：0，他引：2  

顾晓昀  徐宗学  王汨  殷旭旺  刘麟菲  张欣  左德鹏 《湖泊科学》2017,29(6):1444-1454

为全面了解北运河水系的底栖动物群落结构和水环境质量,于2015年5月对北运河水系33个样点的底栖动物和水体理化性质进行了调查,分别采用综合水质标识指数法和底栖动物BI指数法对北运河水系进行水质评价,并通过Kolmogorov-Smirnov检验判断正态性,用Pearson相关分析方法对两种评价结果进行比较和分析.结果表明:北运河水系共采集到底栖动物23种,隶属于3门4纲6目11科11属,以水生昆虫和软体动物为主,整个水系底栖动物群落结构单一;底栖动物BI指数法的评价结果显示,72%的采样点水质为中污染(Ⅳ)或重污染(Ⅴ);综合水质标识指数法的评价结果显示,超过57%的采样点水质为Ⅳ类及以下;根据K-S检验,两组评价得分均符合正态分布;Pearson相关分析显示两种评价结果呈显著正相关.两种评价结果总体上呈现出相同的趋势,均显示北运河水系整体水质状况较差,干流水质状况优于支流,上游水质状况优于下游,温榆河上游、坝河下游、通惠河上游和凉水河的水质状况较差,温榆河源头和坝河上游的水质状况较好.两种评价结果在个别点位存在一定差异,具体表现为基于水体理化因子的评价结果稍优于水质生物评价结果,造成这种差异的原因是两种评价方法在时空尺度上存在差异.针对城市化水平较高、人类活动干扰较强的北运河水系,同时采用这两种评价方法有助于全面了解其复杂的水环境质量.  相似文献   

帕隆藏布流域冰湖变化及危险性评估     

刘娟  姚晓军  高永鹏  祁苗苗  段红玉  张大弘 《湖泊科学》2019,31(4):1132-1143

冰湖作为区域气候变化的灵敏指示器和主要冰川灾害的启动器,认识其空间分布及变化特征对探讨冰湖对气候变化的响应规律及冰湖溃决危险性评估具有重要意义.基于1968-1980年地形图数据和1994-2016年Landsat TM/OLI遥感影像资料,综合利用RS、GIS技术和数理统计方法分析帕隆藏布流域面积≥ 0.01 km²冰湖时空分布及其动态变化,并对潜在危险性冰湖进行判别和评估.结果表明：2016年帕隆藏布流域共有冰湖351个,面积50.48 km²,且面积和数量分别以面积>1 km²和面积<0.1 km²的冰湖为主,这些冰湖主要分布于海拔2800~5400 m之间.近50年来帕隆藏布流域冰湖总体呈数量增多、面积增加态势;海拔<3000 m的冰湖相对稳定,而海拔>4500 m的冰湖数量和面积增加则相对迅速.近50年间帕隆藏布流域冰川面积减少591.34 km²,气候变暖导致的冰川末端退缩和冰川融水增加为冰湖形成和扩张提供了发育空间和物质来源.切毛措、光谢错等9个冰湖为潜在危险性冰湖,预计未来一段时间内帕隆藏布流域冰湖溃决可能处于活跃阶段,其形成和暴发也将更加频繁.  相似文献   

Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network   总被引：1，自引：1，他引：0  

Arman Ahmadi  Dimitri P. Solomatine 《水文科学杂志》2019,64(9):1080-1094

Due to the complicated nature of environmental processes, consideration of uncertainty is an important part of environmental modelling. In this paper, a new variant of the machine learning-based method for residual estimation and parametric model uncertainty is presented. This method is based on the UNEEC-P (UNcertainty Estimation based on local Errors and Clustering – Parameter) method, but instead of multilayer perceptron uses a “fuzzified” version of the general regression neural network (GRNN). Two hydrological models are chosen and the proposed method is used to evaluate their parametric uncertainty. The approach can be classified as a hybrid uncertainty estimation method, and is compared to the group method of data handling (GMDH) and ordinary kriging with linear external drift (OKLED) methods. It is shown that, in terms of inherent complexity, measured by Akaike information criterion (AIC), the proposed fuzzy GRNN method has advantages over other techniques, while its accuracy is comparable. Statistical metrics on verification datasets demonstrate the capability and appropriate efficiency of the proposed method to estimate the uncertainty of environmental models.  相似文献   

Improved fuzzy weighted optimum curve-fitting method for estimating the parameters of a Pearson Type-III distribution     

Guan-Jun Lei  Jun-Xian Yin  Hao Wang  Dong-Mei Xu  Jing Tian 《水文科学杂志》2019,64(16):2115-2128

ABSTRACT

The objective of the curve-fitting method is to determine the optimal distribution by parameter estimation. The selection of the parameter estimation methods and the determination of the parameter estimation results may vary according to the different aims of the curve fitting, as well as the different accuracies and positions of the points. To solve the problem, the fuzzy weighted optimum curve-fitting method (FWOCM) was used to deal with the characters. The deficiencies of the original FWOCM were analysed, and it was found that the membership function and nomograph were unable to effectively deal with the curve fitting. An improved method and its indexes were evaluated, using effectiveness and unbiasedness as the assessment criteria, while scoring and percentage methods were chosen to comprehensively assess the statistical results. Compared with FWOCM, the results showed greater effectiveness and unbiasedness in the improved method.  相似文献   

Stripe-based fragility analysis of multispan concrete bridge classes using machine learning techniques     

Sujith Mangalathu  Jong-Su Jeon 《地震工程与结构动力学》2019,48(11):1238-1255

A framework for the generation of bridge-specific fragility curves utilizing the capabilities of machine learning and stripe-based approach is presented in this paper. The proposed methodology using random forests helps to generate or update fragility curves for a new set of input parameters with less computational effort and expensive resimulation. The methodology does not place any assumptions on the demand model of various components and helps to identify the relative importance of each uncertain variable in their seismic demand model. The methodology is demonstrated through the case study of a multispan concrete bridge class in California. Geometric, material, and structural uncertainties are accounted for in the generation of bridge numerical models and their fragility curves. It is also noted that the traditional lognormality assumption on the demand model leads to unrealistic fragility estimates. Fragility results obtained by the proposed methodology can be deployed in a risk assessment platform such as HAZUS for regional loss estimation.  相似文献   

On the correction of spectra by a displacement reduction factor in direct displacement-based seismic design and assessment     

Gian Michele Calvi 《地震工程与结构动力学》2019,48(6):678-685

The application of some design and assessment approaches, such as the direct displacement-based design (DDBD) and the capacity spectrum methods, requires the modification of elastic design spectra by some displacement reduction factor, to account for the appropriate energy dissipation capacity of different structures. While several equations to correlate dissipation and hysteresis cycles are available, once the displacement reduction factor has been obtained, the correction of the spectra is operated reducing the displacement demand accordingly and conserving the period of vibration at each point. This procedure is here discussed and proved to be conceptually inappropriate, because the spectral acceleration rather than the period should be kept at each point. The application of this alternative procedure may result in increased shear strength demand in design and in larger required displacement capacity for the same level of strength in assessment, if all other factors are not modified. However, the calibration of the reduction factors applied in DDBD has been extensive, and the method has proved to be effective in predicting displacement demands consistent with those resulting from refined nonlinear time history analysis; therefore, a possible introduction of the proposed correction will require equally extensive studies and possibly compensating corrections in the calculation of the equivalent damping. On the contrary, an appropriate calibration of the factors to be used in the application of the “capacity spectrum” method is still being developed, and the consideration of a constant acceleration may facilitate the derivation of effective equations.  相似文献   

应变率效应对600 MPa级高强钢筋混凝土框架结构抗震性能影响研究          下载免费PDF全文

孙传智  李爱群  缪长青  乔燕  左工 《世界地震工程》2019,35(2):165-170

为了更真实地进行钢筋混凝土结构抗震性能评估,应该考虑材料的应变率效应影响。600 MPa级高强钢筋作为新一代建筑钢材,尚无考虑应变率效应影响的600 MPa级高强钢筋混凝土框架结构抗震性能研究。首先进行了不同应变率下600 MPa级高强钢筋拉伸力学性能试验,利用试验数据拟合得到600 MPa级高强钢筋在不同应变率下的强度提高系数表达式,并利用OpenSees软件进行了配置600 MPa级高强钢筋混凝土框架结构抗震性能模拟分析,研究了应变率效应对框架结构抗震性能的影响。研究结果表明:随着应变率的增大,钢筋的屈服强度和极限强度均得到提高,屈服强度最大提高11.5%,极限强度最大提高8.9%;随着所考虑的材料应变率增加,配置600 MPa级高强钢筋框架结构最大顶点位移总体上呈减小趋势,地震波强度越强,应变率效应影响越大,而层间位移角减小幅值相差不大。研究成果可作为600MPa级高强钢筋混凝土框架结构抗震评估的依据。  相似文献   

基于直觉模糊层次分析法的地震压埋率模型研究          下载免费PDF全文

肖东升  钟祖峰  罗尚  练洪  罗俊 《世界地震工程》2019,35(3):127-135

强烈地震会导致建筑物倒塌进而造成室内人员压埋,因此,把特定区域和建筑群的压埋率作为震后救援的决策指标尤为重要。但地震建筑物倒塌受多个影响因素共同作用,造成了压埋率模型的后验倒塌率评估的不确定性问题。针对这个问题采用直觉模糊层次分析法,选取了震级、震源深度、震中距、抗震设防烈度、地基和基础、建筑物结构类型和结构现状等七大影响因素进行加权分析。运用LINGO软件建模解算出了各影响因素权重,通过极大似然法估算了各影响因素对建筑物倒塌率的影响值,进而评估出了建筑物预估倒塌率,并结合先验在室率模型及其区划,建立了基于直觉模糊层次分析法的地震压埋率模型。最后以汶川灾区学校为例,进行了压埋率评估,并对其进行了误差分析。研究表明:抗震设防烈度、建筑物结构类型和结构现状是影响建筑物倒塌的主要因素;在实际评估中模型精度达到±0.15,能为震后快速应急救援提供决策辅助。  相似文献   

白洋淀表层沉积物中有机氯农药和全多氯联苯的分布特征及风险评估     

许妍  陈佳枫  徐磊  刘雨薇  谢立莹  王之卓  金苗  陈宇炜 《湖泊科学》2020,32(3):654-664

为了解白洋淀表层沉积物中有机氯农药(OCPs)和多氯联苯(PCBs)的污染情况,采用改进的GC-μECD方法对白洋淀11处沉积物进行了20种OCPs和全部209种PCB单体的定量检测和分析.结果显示:白洋淀11个沉积物样品共检出10种OCPs和24种PCBs,∑OCPs和∑PCBs的含量范围分别为1.22～52.45 ng/g(DW)和nd～37.61 ng/g,在国内处于中等水平; OCPs组成中以HCHs和Dieldrin(狄氏剂)为主,分别占到∑OCPs的39.9%和31.5%,其中7个采样点的HCHs以林丹输入为主,4个采样点以工业六六六污染为主.DDTs检出率较低,来源主要为历史残留;检出的PCB单体以低氯联苯为主,其中一氯、二氯和三氯联苯占∑PCBs的64.73%;采用沉积物质量标准法进行生态风险评估,结果表明白洋淀地区沉积物中p,p'-DDD和∑PCBs生态风险较低,Dieldrin生态风险尚需关注,γ-HCH生态风险较高,不容忽视.  相似文献   

洪水预报中特征值预报的若干数学方法比较   总被引：1，自引：0，他引：1  

李致家  孔祥光 《湖泊科学》1997,9(2):117-122

讨论研究了水文特征值预报的数学方法,统计回归模型、神经网络模型和模糊回归模型。三个计处实例表明如果系统的线性关系较好,统计回归模型的结果最好;如果系统的线民生关系差,神经网络模型的结果最好;如果用于率定模型的资料太短,任何一个模型都不可靠。  相似文献