Prediction of Blast-Induced Rock Movement During Bench Blasting: Use of Gray Wolf Optimizer and Support Vector Regression

Natural Resources Research - A large ore loss and dilution can be expected when using a pre-blast ore boundary for shovel guidance because of the movement and re-distribution of ore in the muck...     

A quantitative risk analysis model for cascade reservoirs overtopping: principle and application

Natural Hazards - Quantitative and effective flood control operation of cascade reservoirs under emergency conditions can guarantee the safety of dams, reduce the social loss caused by flood...     

基于ROMS和4DVAR的沿轨与网格化SSH数据同化效果评价

Remote sensing products are significant in the data assimilation of an ocean model. Considering the resolution and space coverage of different remote sensing data, two types of sea surface height(SSH) product are employed in the assimilation, including the gridded products from AVISO and the original along-track observations used in the generation. To explore their impact on the assimilation results, an experiment focus on the South China Sea(SCS) is conducted based on the Regional Ocean Modeling System(ROMS) and the four-dimensional variational data assimilation(4 DVAR) technology. The comparison with EN4 data set and Argo profile indicates that, the along-track SSH assimilation result presents to be more accurate than the gridded SSH assimilation, because some noises may have been introduced in the merging process. Moreover, the mesoscale eddy detection capability of the assimilation results is analyzed by a vector geometry–based algorithm. It is verified that, the assimilation of the gridded SSH shows superiority in describing the eddy's characteristics, since the complete structure of the ocean surface has been reconstructed by the original data merging.     

张掖盆地地下水硝酸盐污染与人体健康风险评价

地下水是张掖盆地的重要水资源，其硝酸盐污染尚未得到足够重视。对张掖盆地2004、2015年地下水硝酸盐浓度进行了系统分析，并采用美国环境保护署（USEPA）推荐的健康风险评价模型评估了地下水硝酸盐的健康风险。结果表明：自2004年以来张掖盆地地下水硝酸盐污染日趋严重。2015年硝酸盐浓度最高已达到283.32 mg·L^-1，17.61%的采样点硝酸盐氮浓度超过GB5749-2006《生活饮用水卫生标准》中饮用地下水限量值（20 mg·L^-1）。研究区人群经皮肤接触途径摄入硝酸盐的健康风险在可接受水平，而饮水摄入硝酸盐的健康风险较高，总风险中饮水途径引起健康风险的贡献率占99.40%，远大于皮肤接触途径。儿童经饮水摄入和皮肤接触两种途径的健康风险均显著高于成人，分别为成人的1.544倍和1.039倍。32.39%的采样点地下水硝酸盐对儿童的健康风险超出了可接受水平，14.79%的采样点地下水硝酸盐对成人的健康风险不可接受。甘州区城区、临泽县北部边缘及高台县城区周围硝酸盐浓度最高，这些区域内所有人群都面临硝酸盐引发的高健康风险，其余区域硝酸盐引发的健康风险相对较低。     

中国海洋无脊椎动物分类学与系统演化研究进展与展望

综述了我国海域无脊椎动物的分类学和系统演化研究的历史和概况，以及我国分类系统学工作者在海洋无脊椎动物分类学、区系与动物地理学、系统发育与分子系统学领域的主要工作，重点介绍了中国科学院海洋研究所的海洋无脊椎动物分类学工作。涉及类群包括原生动物、海绵动物、刺胞动物、线虫、多毛类环节动物、星虫、螠虫、软体动物、节肢动物、苔藓动物、毛颚动物、棘皮动物、半索动物等主要的无脊椎动物门类。涉及海域以我国管辖海域，特别是中国近海为主，也涉及了西太平洋、西南印度洋等深海环境的无脊椎动物类群的分类学报道。本文总结过去，展望未来，对于在我国在海洋无脊椎动物分类与系统演化研究领域成就基础上，发现薄弱环节，研讨今后本学科的发展方向，填补研究空白，赶超本领域国际前沿，都有重要借鉴意义。     

BCC_AVIM陆面过程模式冻融过程参数化的改进与检验

考虑冻融过程对陆气相互作用的重要性,参考国内外学者对于冻融过程的参数化方案研究,对BCC＿AVIM陆面过程模式的冻融过程参数化方案进行了改进与检验。改进的内容主要包括：（1）加入了过冷水概念,改进土壤冻结判断条件与含冰量更新标准;（2）加入平衡温度概念代替原方案中恒定的冻结温度;（3）在导水率的参数化方案之中加入不可渗透分数。用改进前后方案分别模拟玛曲站2018-2019年,2019-2020年两次冻融过程。发现改进后的方案在冻融过程中相比原方案：（1）增大了冻结状态温度模拟值、振幅减小、变化趋势更加接近实测;（2）增大了冻结状态中含水量的模拟值,变化趋势与实测相关性更好;（3）土壤中冰的产生日期延后,冰的融解日期提前,最大含冰量模拟减小;（4）冻融过程各阶段的转变日期模拟更接近实测;（5）新方案对于强冻融年份的模拟提升效果更优于弱冻融年份。     

Metallogeny of the Baiyangping Lead‐Zinc Polymetallic Ore Concentration Area,Northern Lanping Basin of Yunnan Province,China

The Lanping Basin in the Nujiang‐Lancangjiang‐Jinshajiang (the Sanjiang) area of northeastern margin of the Tibetan Plateau is an important part of eastern Tethyan metallogenic domain. This basin hosts a number of large unique sediment‐hosted Pb‐Zn polymetallic deposits or ore districts, such as the Baiyangping ore concentration area which is one of the representative ore district. The Baiyangping ore concentration area can be divided into the east and west ore belts, which were formed in a folded tectogene of the India‐Asia continental collisional setting and was controlled by a large reverse fault. Field observations reveal that the Mesozoic and Cenozoic sedimentary strata were outcropped in the mining area, and that the orebodies are obviously controlled by faults and hosted in sandstone and carbonate rocks. However, the ore‐forming elements in the east ore belt are mainly Pb‐Zn‐Sr‐Ag, while Pb‐Zn‐Ag‐Cu‐Co elements are dominant in the west ore belt. Comparative analysis of the C‐O‐Sr‐S‐Pb isotopic compositions suggest that both ore belts had a homogeneous carbon source, and the carbon in hydrothermal calcite is derived from the dissolution of carbonate rock strata; the ore‐forming fluids were originated from formation water and precipitate water, which belonged to basin brine fluid system; sulfur was from organic thermal chemical sulfate reduction and biological sulfate reduction; the metal mineralization material was from sedimentary strata and basement, but the difference of the material source of the basement and the strata and the superimposed mineralization of the west ore belt resulted in the difference of metallogenic elements between the eastern and western metallogenic belts. The Pb‐Zn mineralization age of both ore belts was contemporary and formed in the same metallogenetic event. Both thrust formed at the same time and occurred at the Early Oligocene, which is consistent with the age constrained by field geological relationship.     

城市地下空间开发利用地质适宜性三维评价指标体系研究——以杭州市为例

地下空间开发地质适宜性三维评价是合理进行地下空间立体化开发、降低开发地质风险的重要手段,也是当前研究热点。作为地质适宜性三维评价全过程的重要一环,科学合理地建立三维评价指标体系是其能否正确开展的前提基础。通过结合杭州城市地下空间开发面临的地质问题,在系统分析各评价指标对地下空间开发建设影响的特征基础上,以三维视角从地层三维结构等多个方面构建完成了一套具有多层次结构的三维评价指标体系,并采用层次分析方法对评价指标进行了目标权重的计算、一致性检验、排序和分析。该指标体系可划分为5个准则层21个指标层,相较于二维评价指标体系,通过融合三维地质模型和三维空间分析方法,使评价过程中能够考虑更多的评价因子,更好地描绘地下复杂的三维地质环境,丰富了三维评价结果的内涵。基于模糊综合评价方法的杭州钱江新城二期的三维评价应用成果表明,该指标体系为三维地质模型和三维空间分析方法之间的整合提供了有力的指导,为提升三维尺度下的地下空间开发地质适宜性评价精度和准确性提供了有力的支持。     

Study on deformation characteristics and mechanism of reactivated ancient landslides induced by engineering excavation and rainfall in Three Gorges Reservoir area

Natural Hazards - From 2015 to 2017, construction for the Dalixi Eco-Industrial Park in Dalixi Village, Xingshan County in the Three Gorges Reservoir area, reactivated a series of ancient...     

基于BMA多模型组合的疏勒河径流预测研究

准确可靠的径流预测对于水资源的科学管理与规划具有重要意义,特别是在水资源紧缺的干旱半干旱地区,径流预测对流域内水资源高效利用与水利工程经济运行具有重要现实意义。针对径流预测通常采用单一方法进行建模与预测,难以利用各预测模型优势的问题,本文利用极限学习机（ELM）模型、支持向量机（SVM）模型、多元自适应回归样条（MARS）等机器学习方法建立了疏勒河上游未来1~7日的径流预测模型。在此基础上,运用贝叶斯模型平均（BMA）方法对ELM、SVM、MARS模型的预测结果进行组合,构建了径流组合预测模型,以获取更可靠的预测结果,并采用蒙特卡洛抽样方法获取BMA的95%置信区间,对预测结果进行了不确定性分析。结果表明：ELM、SVM、MARS模型以及BMA组合模型均适用于干旱半干旱地区的中长期日径流预测;BMA的预测精度较单一模型更高,能够提供更准确的预测值;BMA的95%置信区间对实测值覆盖率高,同时能够提供较好的确定性预测和概率预测结果。表明BMA在资料有限的条件下,表现出较单一模型更高的预测性能,可以成为干旱半干旱地区中长期日径流预测的有效方法。