四川乌斯河铅锌矿床成矿物质来源及矿床成因:来自原位S-Pb同位素证据

乌斯河铅锌矿床位于扬子板块西南缘,是川滇黔铅锌矿集区代表性大型铅锌矿床之一,估算资源量超过370万吨,Pb+Zn平均品位~15.7%。该矿床铅锌矿体主要呈层状、似层状、透镜状产于震旦系灯影组的白云岩地层中,其围岩蚀变较弱,以白云石化和方解石化为主。矿石类型主要包括块状、条带状、角砾状、脉状和浸染状等,其中矿物组成相对简单,以闪锌矿、方铅矿、白云石和方解石为主,含少量沥青和黄铁矿。该矿床地质地球化学研究程度相对较低,其成矿物质来源不清,致使该矿床存在热水沉积成因、喷流沉积-后期热液叠加改造以及MVT型等多种成因争议,难以建立统一成矿模式。本文对乌斯河铅锌矿床不同成矿阶段的硫化物（包括黄铁矿、闪锌矿和方铅矿）,开展原位硫和铅同位素地球化学研究,以查明该矿床的成矿物质来源、还原硫的形成机制和示踪成矿过程,为认识该类矿床铅锌成矿作用提供新地球化学依据。原位S同位素分析结果显示,乌斯河铅锌矿床硫化物的还原硫存在不同硫来源,成矿早阶段硫化物δ³⁴S值较低,介于+1.3‰~+14.2‰之间,暗示可能有来自于赋矿地层圈闭古油气系统中的H₂S;主成矿阶段硫化物相对富集重硫同位素,δ³⁴S值在+11.0‰~+23.3‰之间,表明其为赋矿地层的蒸发岩的热化学还原作用的产物。此外,硫化物的LA-MC-ICPMS原位Pb同位素组成分析显示,该矿床成矿金属元素主要来源于变质基底地层,水岩反应可能使赋矿地层贡献少量的成矿物质。综合矿区地质特征和已有的地球化学研究成果,本文认为乌斯河铅锌矿床属于MVT铅锌矿床,富Pb、Zn等成矿元素的流体与富H₂S的流体混合是该矿床金属硫化物沉淀的主要机制。     

欠固结地层静止侧压力简化计算方法

大量工程实践表明：正确预估欠固结地层的静止侧压力大小对工程的稳定性分析和安全设计十分重要。因此,通过理论分析和数值模拟深入探讨了固结排水过程中地层侧向压力的变化规律,建立了静止侧压力与超固结比OCR的联系,提出了等效静止土压力系数的概念和计算公式,形成了考虑OCR影响的欠固结地层静止侧压力简化计算方法,并用数值模拟和试验结果进行了验证。提出的等效静止土压力系数实现了欠固结地层和正常固结地层侧压力计算的统一。研究结果表明：欠固结地层的静止侧压力随超固结比OCR的增大而线性减小,且随土体有效内摩擦角的增大,OCR对侧向压力的影响越大。上述研究成果可为欠固结地层的土压力计算提供技术支撑。     

三峡库区龙门寨危岩体崩塌产生涌浪研究

长江两岸高耸的危岩体对航道、沿岸居民带来巨大安全隐患。大宁河属于长江一级支流,龙门寨危岩体位于大宁河上,距离巫山县城仅1 km。利用FLOW-3D软件,模拟了145 m、175 m两种水位工况下龙门寨危岩体崩塌产生涌浪过程和涌浪传播过程。模拟结果表明,涌浪在145 m水位工况下最大浪高约为17.9 m,175 m水位工况下最大浪高约为11.6 m;在巫山县的五个码头处,两种水位工况最大涌浪爬高分别约为10.9 m、3.8 m;根据涌浪高度,对大宁河进行危险分区,145 m水位工况下极高危险区长度约4.4 km,很高危险区长度约1.9 km;175 m水位工况下极高危险区长度约3.0 km,很高危险区长度约1.0 km。研究结果有助于防控龙门寨危岩体潜在涌浪灾害危害,保障大宁河航道和巫山县码头安全,同时也为三峡库区滑坡涌浪灾害提供了预警依据。      

台风暴雨型浅层滑坡失稳机理研究

针对台风暴雨耦合作用下浅层滑坡的失稳机理进行研究。在总结福建台风暴雨型滑坡灾害特征的基础上,提出风荷载对斜坡变形失稳的影响机理是通过植被造成坡体开裂,从而影响坡体的入渗规律。应用GeoStudio软件计算台风暴雨入渗条件下裂隙坡体中暂态非饱和渗流场的变化,以及对斜坡稳定性的影响。计算结果表明:裂隙坡体由于在裂隙处形成集中入渗点,雨水的入渗速度大于无裂隙的坡体,坡体达到饱和状态所需要的时间大为缩短。裂隙深度、间距对滑坡稳定系数的影响较大,裂隙深度越大、间距越小,在相同的降雨条件下滑坡的稳定系数越小,滑坡失稳需要的降雨时长越短。裂隙宽度对滑坡稳定性的影响相对较小。      

电镀废水改进的CAFE处理工艺设计及案例

电镀园区废水处理过程中,由于园区企业难以做到彻底的分质分流,导致废水处理出现破络不彻底,次亚磷酸盐、氰化物等出现再络合与难降解等问题,同时,深度处理后,浓水需要进行深度处理,重金属离子浓度、总磷、总氮处理都存在难以达标的情况。本文根据企业电镀废水的典型水质和水量特征,研究设计了改进的CAFE处理工艺,详细论证了各工艺的处理过程、主要设备及相关设计参数,并将该工艺在南通某电镀园区电镀废水处理中进行了实际应用。运行的实践表明,该套设计方案污水处理运行稳定,最终出水的COD_Cr（化学需氧量）、NH₄-N、总铬、六价铬、总镍指标的平均质量浓度分别为34.00、5.41、0.29、0.03、0.05 mg/L,均远远小于电镀废水的排放标准,达到了电镀废水的深度处理要求。     

Event-based classification for global study of river flood generating processes

Better understanding of which processes generate floods in a catchment can improve flood frequency analysis and potentially climate change impacts assessment. However, current flood classification methods are either not transferable across locations or do not provide event-based information. We therefore developed a location-independent, event-based flood classification methodology that is applicable in different climates and returns a classification of all flood events, including extreme ones. We use precipitation time series and very simply modelled soil moisture and snowmelt as inputs for a decision tree. A total of 113,635 events in 4155 catchments worldwide were classified into one of five hydro-climatological flood generating processes: short rain, long rain, excess rainfall, snowmelt and a combination of rain and snow. The new classification was tested for its robustness and evaluated with available information; these two tests are often lacking in current flood classification approaches. According to the evaluation, the classification is mostly successful and indicates excess rainfall as the most common dominant process. However, the dominant process is not very informative in most catchments, as there is a high at-site variability in flood generating processes. This is particularly relevant for the estimation of extreme floods which diverge from their usual flood generation pattern, especially in the United Kingdom, Northern France, Southeastern United States, and India.     

Socio-hydrological framework for investigating farmers’ activities affecting the shrinkage of Urmia Lake; hybrid data mining and agent-based modelling

ABSTRACT

Developing a general framework to capture the complexities associated with the non-linear and adaptive nature of farmers facing water resources scarcity is a challenging problem. This paper integrates agent-based modelling (ABM) and a data mining method to develop a hybrid socio-hydrological framework to provide future insights for policy-makers. The data associated with the farmers’ main characteristics were collected through field surveys and interviews. Afterwards, the association rule was employed to discover the main patterns representing the farmers’ agricultural decisions. The discovered patterns were then used as the behavioural rules in ABM to simulate the agricultural activities. The proposed framework has been was applied to explore the interactions between agricultural activities and the main river feeding the Urmia-Lake, Iran. The outcomes indicate that farmers’ acquisitive traits and belongings have significant impacts on their socio-hydrological interactions. The reported values of the efficiency criteria may support the satisfactory performance of the proposed framework.     

Flow resistance and hydraulic geometry in bedrock rivers with multiple roughness length scales

Many models of incision by bedrock rivers predict water depth and shear stress from discharge; conversely, palaeoflood discharge is sometimes reconstructed from flow depth markers in rock gorges. In both cases, assumptions are made about flow resistance. The depth–discharge relation in a bedrock river must depend on at least two roughness length scales (exposed rock and sediment cover) and possibly a third (sidewalls). A conceptually attractive way to model the depth–discharge relation in such situations is to partition the total shear stress and friction factor, but it is not obvious how to quantify the friction factor for rough walls in a way that can be used in incision process models. We show that a single flow resistance calculation using a spatially averaged roughness length scale closely approximates the partitioning of stress between sediment and rock, and between bed and walls, in idealized scenarios. Both approaches give closer fits to the measured depth–discharge relations in two small bedrock reaches than can be achieved using a fixed value of Manning's n or the Chézy friction factor. Sidewalls that are substantially rougher or smoother than the bed have a significant effect on the partitioning of shear stress between bed and sidewalls. More research is needed on how best to estimate roughness length scales from observable or measurable channel characteristics. © 2019 John Wiley & Sons, Ltd.     

汶川M_W7.9地震起始破裂断层几何结构

本文收集使用紫坪铺水库台网记录到的汶川地震主震P波波形资料,利用P波反投影叠加法获取了2008年5月12日汶川M_W7.9地震起始破裂的时空演化过程.通过分析本次大地震起始破裂阶段(0～1s)破裂点在三维空间内的分布特征,确定了本次大地震起始破裂位置及起始破裂断层几何结构模型.得到以下结果:汶川地震起始破裂点位于31.013±0.002°N、103.392±0.002°E,震源深度为8.2±0.4km,发震时刻为2008年5月12日14∶27∶58.80±0.4.汶川地震起始破裂的最佳断层面走向为NE48°,倾向NW35°,起始阶段破裂的深度范围为地下7.5～9km.