Molar‐Tooth Structure from the Mesoproterozoic Wumishan Formation in Lingyuan,Yanshan Region,North China,and Geological Implications

Although its origin has not yet reached a consensus so far, MTS (Molar-Tooth Structure) has been documented for more than 100 years. Current study reports a discovery of MTS from the Mesoproterozoic Wumishan Formation, Lingyuan, Yanshan Region, North China, and the features and geological implications of MTS are further discussed. Here, straitigraphic horizons of MTS’s occurrences show that it was mainly located within the top part of the Wumishan Formation, i.e., limestone unit. Four kinds of morphology of MTS, i.e., fine fusiform, debris, ribbon, ptigmatic and nodular (irregular), were recognized and thought to be highly related to the sedimentary environments and facies. Geochemistry of MTS including oxides, trace elements and C, O and Sr isotopes indicates that the horizons of MTS-bearing is of higher Sr/Ba and Ca/Mg ratios, lower positive δ13C and highly negative δ18O values than the adjacent stratigraphic levels of rare MTS. Lithology, morphology and geochemistry of MTS in the Wumishan Formation suggest that MTS occurs mainly in shallow subtidal near the storm wave base, which is typically characterized by warm temperature, oversaturated calcium carbonate seawater and high organic productivity. Furthermore, occasional enrichment of algae bacteria here is more favorable for the calcification of calcium oozes and catalytic for MTS. C isotope composition of the Wumishan Formation and MTS of this study is well correlated with that of the Mesoproterozoic Belt Supergroup, North America and Riphean, Siberia, suggesting that MTS acts as a sedimentary record responding to global changes and is a perfect indicator in Precambrian stratigraphic correlation worldwide.     

Petroleum pollution and evolution of water quality in the Malian River Basin of the Longdong Loess Plateau,Northwestern China

The possible sources of water pollution and the evolution of water quality in the Malian River Basin of China’s Longdong Loess Plateau were studied based on chemical analysis. Concentrations of major chemicals in the river were related to the distance downstream from the source of the river and the surface water in the upstream had good quality, while the river from Southern Huanxian County to Qingcheng County was seriously polluted. Groundwater quality was generally good in the phreatic aquifer beneath the loess plateau, with bicarbonate and calcium dominant, but salinity was high and petroleum pollution was present in many parts of the study area. Both surface water and groundwater quality have declined rapidly during the past 20 years, leading to much of the water unsafe to drink and unsuitable for use in irrigation. The substances released into the water included industrial wastes, domestic sewage, organic and inorganic fertilizers, and pesticides, as well as a range of other substances that are harmful to humans. However, petroleum contamination caused by the oil industry in the Longdong oilfield is the largest source of pollution that infiltrates surface water and groundwater, leading to deterioration of water quality. It is recommended that oilfield management must be improved and the petroleum products and wastes must be disposed carefully to reduce the risk of further spills and pollution.     

云南元谋古猿动物群化石埋藏学

云南元谋小河-雷老一带含古猿新近系（上第三系）是一套紫红色含砾细砂-粉砂岩，夹有多层黄色砂砾石层。化石埋藏学研究及含化石层岩性特征、组合及沉积构造表明，该层以山前洪积堆积为主，并有发育的扇上河道沉积。通过30余个发掘地点化石野外埋藏资料及数千件化石标本的分析鉴定，化石埋藏类型有两种，埋藏Ⅰ型的化石数量稀少、保存完整，赋存在扇体细粒沉积物中；理藏Ⅱ型化石保存丰富但相当残破，赋存在粗粒沉积的扇上河道各个部位。化石埋藏类型与古气候、古生态有着密切的关系，化石埋藏特征表明该区自然环境分带已形成。元谋古猿动物群的生存时代是一个从森林向草原-灌丛环境过渡的动荡时期。     

基于GMS的三维TOUGH2模型及模拟

GMS和TOUGH2均是应用广泛的地下流动系统数值模拟软件,其中,GMS界面友好,功能强大;而TOUGH2虽具有强大的数值计算能力,但缺乏友好的可视化前后处理界面。本文借助GMS强大的前处理能力,基于概念模型建立了三维复杂模型,把GMS/MODFLOW三维数值模型(包括网格数据、岩性数据、初始和边界数据等)转化为TOUGH2数值模型进行数值计算。通过两个计算实例(含水层水平没有起伏和有起伏)对比分析了GMS/MODFLOW和TOUGH2计算结果的差异。结果显示,该方法可以快速地建立刻画复杂地质条件的TOUGH2模型,计算结果与GMS/MODFLOW差异很小,说明两个软件均有很高的可信度;同时,该方法发挥了两个软件各自的优势,为进行更为复杂的多相流动数值模拟提供了可行性。     

基于SSM/I被动微波数据的中国积雪深度遥感研究

通过对积雪和其他地物的被动微波辐射计SSM/I的微波亮温进行波谱分析,提出了一个识别积雪的SSM/I微波检测方法,与MODIS的5 d合成积雪范围数据进行了比较,结果表明SSM/I的积雪范围与MODIS基本一致.对提出的SSM/I的微波积雪深度反演方法进行了验证,与2006年冬季每日的中国地面积雪深度观测数据的相关系数R的平方为0.46～0.54,偏差为-0.3～0.8 cm,均方根误差rmse为4.4～6.8 cm.     

燕山地区1.6～1.0Ga时期碳酸盐岩碳、氧同位素组成、演化及其地质意义

依据实测的燕山地区(1.6～1.0Ga)高于庄组—景儿峪组114个碳、氧同位素数据,研究、讨论了中、新元古界碳酸盐岩碳、氧同位素组成、演化及其地质意义。研究表明,燕山中、新元古界由下至上的地层序列上,碳、氧同位素表现明显的旋回性演化特征,二者多显正相关关系;δ13C在-3‰～3‰区间低幅、高频振荡;δ18O则表现为-2‰～-8‰的高幅、高频波动;δ13C值的增大与沉积环境由潮间向潮下演变、海平面上升、海水变淡、生物量增多相关;降低的δ13C多代表潮间—潮上环境。高于庄组瘤状灰岩及洪水庄组页岩δ13C为低负值,代表最大海泛期沉积。氧同位素组成和变化指示研究区总体为咸化环境,杨庄组上部和雾迷山组下部古海水盐度最高,之后盐度逐渐降低,至雾迷山组上部又有所升高。研究区与天津蓟县和北京十三陵地区的中、新元古代碳酸盐岩碳、氧同位素组成与演化表现出明显的相似性,反映了它们共同受燕山裂陷槽发育的控制;同时,与北美Belt超群和俄罗斯乌拉尔里菲期碳酸盐岩碳、氧同位素组成、演变的高度协同性,又说明了中、新元古代碳酸盐岩中碳、氧同位素组成、演化响应于全球古海洋背景和地球化学条件。     

地下水浅埋条件下冬小麦和大豆土壤水分动态预报模型研究

用统计方法和水量平衡法推导出江淮地区潜水蒸发经验计算模型。利用农田水分平衡原理分别在江淮地区建立了引入潜水蒸发量和没有引入潜水蒸发量的冬小麦和大豆土壤水分动态预报模型,并对这两种模型在地下水浅埋条件下的预报准确度进行比较。1980年的比较结果是:当预报时效为10天时,两种作物7个时段的土壤水分平均绝对误差前者为8.2 mm,后者为20.1 mm,平均相对误差分别为2.8%和6.8%。引入潜水蒸发量后,冬小麦和大豆土壤水分动态预报模型的预报准确度明显提高。     

New Eusauropod Dinosaur from Yuanmou of Yunnan Province, China

1 Introduction Sauropod dinosaurs were group of gigantic quadrupedal herbivores. This group includes the largest terrestrial animals ever to have existed. More than 120 genera have been proposed, however, many of these are now considered to be of dubious validity. Currently, approximately 100 genera are accepted as valid (Upchurch et al., 2004a). The sauropod dinosaur described herein was collected from Jiangyi (Fig. 1), Yuanmou County of Yunnan Province by the Yunnan Provincial Institute…     

Analysis on Precipitation Efficiency of the “21.7” Henan Extremely Heavy Rainfall Event

A record-breaking heavy rainfall event that occurred in Zhengzhou, Henan province during 19–21 July 2021 is simulated using the Weather Research and Forecasting Model, and the large-scale precipitation efficiency(LSPE) and cloud-microphysical precipitation efficiency(CMPE) of the rainfall are analyzed based on the model results. Then, the key physical factors that influenced LSPE and CMPE, and the possible mechanisms for the extreme rainfall over Zhengzhou are explored. Results show that water v...     

Estimation of Rice Yield with a Process-Based Model and Remote Sensing Data in the Middle and Lower Reaches of Yangtze River of China

Accurate simulation of rice yield is very important and vital for agriculture and food security. This study has analyzed the applicability of the RS-P-YEC (the remote-sensing-photosynthesis-yield estimation for crops) model for the rice yield simulation of the Middle and Lower Reaches of Yangtze River (MLRYR) in China. The simulated rice yield was compared with the actual statistical dataset, so as to obtain the accuracy of the model results. The results showed that the correlation coefficients (R) between simulated rice yield and statistical data is 0.708 (P < 0.01), the average relative errors were 9, 6.5, 7.2 %, and the root mean square errors were 777.5, 606.4, 693.4 kg/ha in 2007, 2008 and 2009, respectively. It indicated that the RS-P-YEC model can be used to estimate rice yield in the MLRYR region of China.