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191.
中更新世气候转型(MPT)是第四纪环境变化的一个重要时期,该时期气候模式、气候周期等均发生了明显变化,然而不同区域对中更新世气候转型的响应特征存在明显差异.本研究选取了长治盆地XZK4钻孔中更新世转型前后(1.8~0.1 Ma)共207个样品,通过古地磁定年,运用粒度端元分析和孢粉分析,阐述了长治盆地中更新世转型期的环境变化与湖泊演化特征.结果显示,1.8 Ma以来,孢粉组合中乔木花粉含量多高于60%,但个别时段草本植物花粉占优,显示区域植被多数阶段为森林,但存在明显冷期,并且1.1 Ma和0.55 Ma是研究区环境转变的重要转折点.中更新世转型期前(~1.1 Ma):沉积物粒度总体较细,黏土含量多高于25%,EM1组分(湖相沉积)多高于60%,EM3(河流相组分)在个别时段出现,总体显示该阶段沉积物组成以湖相沉积为主,个别阶段受到河流影响大;中更新世转型时期(1.1~0.55 Ma):沉积物粒度较上一阶段更细,黏土含量(平均为30%)、EM1占比和孢粉浓度均达到研究段最高,沉积物颜色以棕灰色为主,EM3组分占比降至最低,其中1.1~0.95 Ma喜冷的云杉属花粉出现,显示该时期研究区气候总体偏冷湿,湖泊面积较1.1 Ma之前扩大;中更新世转型后(~0.55 Ma):沉积物粒度明显变粗,达到钻孔最高值,沉积物颜色变黄,EM2(风成组分)和EM3占主导,草本植物含量增加,尤其是喜干的蒿属花粉增加明显,表明气候较之前变干,沉积物类型以风力沉积为主,湖泊消亡.综合对比显示,构造运动是影响长治古湖消长的主要驱动力,气候变干加剧了湖泊消亡.  相似文献   
192.
Geotechnical and Geological Engineering - A set of splitting cracks often occur in the high side wall of the deep underground hydropower station due to the excavation-induced unloading during the...  相似文献   
193.
冰川作为固体水库以“削峰填谷”的形式显著调节径流丰枯变化,冰川的水文调节功能对于中国西北干旱区至关重要。使用现有VIC-CAS模型模拟得到中国西部寒区2014—2100年径流预估数据,从趋势和波动变化相结合的视角,基于径流变差系数法,构建了冰川水文调节指数(GlacierR),分析了9个寒区流域冰川径流变化的稳定性,详细剖析了历史时期(1971—2010年)和未来到21世纪末这些流域冰川水文调节功能的强弱变化。结果表明:历史时期及RCP2.6和RCP4.5情景下,除长江流域外,青藏高原其余流域的冰川径流减小时间节点为2020s,西北内陆河流域则为2010s。历史时期及RCP2.6和RCP4.5情景下至21世纪末,尽管西部寒区大部分流域的冰川径流呈减少趋势,但波动幅度减小或无明显变化,冰川径流稳定性增强或无变化。总体上,西北内陆河流域的冰川水文调节功能较高,青藏高原流域的冰川水文调节功能较低。RCP2.6和RCP4.5情景下,至21世纪末,西部寒区各流域冰川水文调节功能均呈现减弱趋势,西北内陆河流域减弱更加显著,如RCP4.5情景下,木扎提河冰川水文调节功能降幅达25.4%,而青藏高原各流域的冰川水文调节功能一直处于较低水平。从年代际变化来看,1970s—2010s是寒区流域冰川水文调节功能较强的时期,1980s和2000s两个时段冰川水文调节功能尤强;RCP2.6和RCP4.5情景下,未来到21世纪末,冰川调节功能明显减弱。减弱的时间节点不同,最早为1970s,最晚为2020s。  相似文献   
194.
游客满意度是衡量旅游地竞争力的关键因素之一,已受到众多旅游研究者的关注。在其热点研究中,有关冰川旅游游客满意度及不同游客属性间满意度差异的研究鲜见。选取达古冰川与海螺沟冰川为研究区,通过对游客属性细分,运用模糊多准则决策法(F-MCDM)及引入需求弹性理论对冰川旅游游客满意度进行了综合评价和敏感性分析,探讨了提升冰川旅游游客满意度的对策建议。结果表明:达古冰川游客实际满意度总体高于海螺沟冰川,两地均以管理与服务的满意度最高,消费状况与交通的满意度最低。就游客属性的相对满意度而言,两地均呈现男性满意度高于女性,高消费游客满意度高于低消费游客,高忠诚度游客满意度高于低忠诚度游客;两地相对满意度的差异表现在年龄、受教育程度、客源地和到访次数方面。相较于达古冰川,海螺沟冰川满意度敏感性更高,同等改进力度下游客满意度的提高更为明显高效,就两地满意度敏感性最高的景观特色而言,达古冰川1%的改善将提升游客满意度0.30%,而海螺沟冰川可提升0.45%;对于不同游客属性的满意度敏感性,两地均以不愿推荐、不愿重游和未达到期望的游客最高。最后依据满意度敏感性分析结果,为两地冰川旅游发展提出了关键属性改进、营销策略创新和旅游产品开发等针对性建议。  相似文献   
195.
This study focuses on the geology, geochemistry, zircon U-Pb geochronology and tectonic settings of the three types of seamount basalts from the Xingshuwa subduction accretionary complex in the Xar Moron area, eastern margin of the Central Asian Orogenic Belt(CAOB). The seamount remnants are composed of carbonate 'cap' sediments, large volumes of pillow and massive basalts, carbonate breccia slope facies and radiolarian cherts. Group 1 basalts are characterized by high contents of P2 O5 and TiO2 with alkaline affinity and LREE enrichment, indicating that they are derived from intraplate magma. Group 2 basalts display N-MORB LREE depletion patterns, indicating that they were formed at a mid-ocean ridge. Group 3 basalts have shown distinct Nb depletion and high Th/Yb ratios, indicating that they were generated in an island arc tectonic setting. The zircon U-Pb age of Group 1 basalt sample XWT18-131 is 576.4 ± 9.4 Ma, suggesting that the oceanic island seamount was the product of intraplate magmatism related to a mantle plume or 'hot spot' in the late Neoproterozoic. The zircon U-Pb age of Group 2 basalt sample XWT18-132 is 483 ± 22 Ma, indicating that the Paleo-Asian Ocean(PAO) was continuously expanding in the Early Ordovician. The zircon U-Pb age of Group 3 basalt sample XWT18-101 is 240.5 ± 8.2 Ma, suggesting that this area underwent the evolutionary path of ocean-continent transition, developing towards continentalization during the Middle Triassic. Thus, we believe that there was both mantle plume-related intraplate magmatism and intraoceanic subduction during the evolution of the PAO, the CAOB possibly being an evolutionary model of an intraoceanic subduction and mantle plume magmatism complex.  相似文献   
196.
Dong  Guiming  Wang  Ying  Tian  Juan  Fan  Zhihong 《Hydrogeology Journal》2021,29(5):1871-1883

In the numerical simulation of groundwater flow, uncertainties often affect the precision of the simulation results. Stochastic and statistical approaches such as the Monte Carlo method, the Neumann expansion method and the Taylor series expansion, are commonly employed to estimate uncertainty in the final output. Based on the first-order interval perturbation method, a combination of the interval and perturbation methods is proposed as a viable alternative and compared to the well-known equal interval continuous sampling method (EICSM). The approach was realized using the GFModel (an unsaturated-saturated groundwater flow simulation model) program. This study exemplifies scenarios of three distinct interval parameters, namely, the hydraulic conductivities of six equal parts of the aquifer, their boundary head conditions, and several hydrogeological parameters (e.g. specific storativity and extraction rate of wells). The results show that the relative errors of deviation of the groundwater head extremums (RDGE) in the late stage of simulation are controlled within approximately ±5% when the changing rate of the hydrogeological parameter is no more than 0.2. From the viewpoint of the groundwater head extremums, the relative errors can be controlled within ±1.5%. The relative errors of the groundwater head variation are within approximately ±5% when the changing rate is no more than 0.2. The proposed method of this study is applicable to unsteady-state confined water flow systems.

  相似文献   
197.
为了探寻石家庄市藁城区地下水埋深动态变化规律,以藁城区2001—2018年的年降水量、地下水人工开采量等数据为基础,对藁城区地下水位埋深进行研究。首先采用P-Ⅲ型曲线法确定降水序列的丰、平、枯年份,分析不同降水量情况下地下水位埋深变化规律;其次,利用地下水开采潜力系数法和灰色关联度法对人工开采量和地下水位埋深的关系进行研究。结果表明:1)藁城区地下水位埋深在2001—2016年逐渐增大,在2016—2018年趋于减小,2016年为转折点;在空间上藁城区地下水位埋深呈现出北部埋深小、南部埋深大的特征,北部水位埋深较同期南部水位埋深要浅5~10 m。2)降水是驱动藁城区地下水位埋深变化的重要因素,枯水年水位埋深变幅在0.8~1.5 m之间,平水年水位埋深变幅在0.3~1.2 m之间,丰水年水位埋深变幅在0.3~1.1 m之间。主灌期(3—6月)的地下水位埋深增加速率均为cm/d级,非主灌期(7—10月)的地下水位埋深减少速率均为mm/d级。3)人工开采是驱动藁城区地下水位埋深变化的主导因素,其中农业开采量占人工开采量的80%。综上认为,藁城区一直处于严重超采状态,地下水累计超采量每增加1亿m3,地下水位埋深增加0.45 m。  相似文献   
198.
勘查区找矿预测理论与方法体系是基于全国129个典型矿床的深入研究,以及在勘查项目实践验证基础上总结而形成的一种特别适合生产找矿第一线使用的有效方法。该方法以成矿作用内因(元素的地球化学特征)和外因(地质作用类型)相结合的思路,构建以成矿地质体、成矿构造与成矿结构面和成矿作用特征标志为主要内容的找矿预测地质模型。四川会理地区位于扬子板块西缘,区域成矿地质条件优越,经历多期构造事件叠加,形成了一系列独具特色的铁铜矿床。近年来,在拉拉铜矿的深部及外围已取得了重大找矿突破和进展。本文以会理拉拉铜矿为典型实例及深部找矿预测成果示范,阐述该方法在深部找矿预测中的具体应用过程,得出了如下认识:早期成矿地质体为赋矿火山岩(河口群钠长岩类),成矿构造与成矿结构面主要为基(中)性火山岩与沉积岩的界面及可能的喷溢口;热液叠加期成矿地质体推测为深部隐伏岩体,成矿构造与成矿结构面主要为褶皱、断裂和裂隙。在总结成矿作用特征标志基础上,建立了拉拉铜矿勘查区找矿预测地质模型。通过与地质和物探方法相结合,圈定红泥坡南部为找矿靶区,经钻探验证,发现厚大矿体,打开了区域找矿空间。  相似文献   
199.
Radiogenic isotopic dating and Lu–Hf isotopic composition using laser ablation-inductively coupled plasma-mass spectrometry(LA-ICP-MS)of the Wude basalt in Yunnan province from the Emeishan large igneous province(ELIP)yielded timing of formation and post-eruption tectonothermal event.Holistic lithogeochemistry and elements mapping of basaltic rocks were further reevaluated to provide insights into crustal contamination and formation of the ELIP.A zircon U–Pb age of 251.3±2.0 Ma of the Wude basalt recorded the youngest volcanic eruption event and was consistent with the age span of 251-263 Ma for the emplacement of the ELIP.Such zircons hadεHf(t)values ranging from7.3 to+2.2,identical to those of magmatic zircons from the intrusive rocks of the ELIP,suggesting that crust-mantle interaction occurred during magmatic emplacement,or crust-mantle mixing existed in the deep source region prior to deep melting.The apatite U–Pb age at 53.6±3.4 Ma recorded an early Eocene magmatic superimposition of a regional tectonothermal event,corresponding to the Indian–Eurasian plate collision.Negative Nb,Ta,Ti and P anomalies of the Emeishan basalt may reflect crustal contamination.The uneven Nb/La and Th/Ta values distribution throughout the ELIP supported a mantle plume model origin.Therefore,the ELIP was formed as a result of a mantle plume which was later superimposed by a regional tectonothermal event attributed to the Indian–Eurasian plate collision during early Eocene.  相似文献   
200.
Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70%landslide pixels)and validation data(30%landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20%interval of landslide occurrence probability contained 89%of the historical landslides but only accounted for 10.3%of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.  相似文献   
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