Sequence architecture and depositional evolution of the Ordovician carbonate platform margins in the Tarim Basin and its response to tectonism and sea‐level change

The sequence architecture and depositional evolution of the Ordovician carbonate platform margins in the Tarim Basin, China, were formed in response to the interplay of tectonism and sea‐level change, their history being documented by the integrated analysis of many seismic lines, drilling and outcrop data. The Ordovician carbonate system in the basin is divided into four composite sequences defined by major unconformities. Each sequence consists of a regional depositional cycle from transgression with an onlapping transgressive systems tract (TST) to regression with a prograding highstand systems tract (HST), and can be further subdivided into 10 third‐order sequences based on subordinate discontinuous boundaries at the carbonate platform marginal zones. Constrained by the marginal slope of the early‐rifted Manjiaer aulacogen, the carbonate platform margins of the Lower and Middle Ordovician that prograded eastward in an arcuate belt extending generally north‐south across the northern part of the basin. The development of the Tazhong uplift due to compression resulted in an extensive paleokarst hiatus between the Middle and the Upper Ordovician in the south‐central basin, and subsequently constrained the formation of a peninsula‐shaped carbonate platform whose margins were controlled by marginal thrust‐fault belts of the paleo‐uplift during the Late Ordovician. In the northern basin, the Late Ordovician carbonate platform margin developed around the marginal slope of the Tabei paleouplift. The transgressive–regressive cycles of the carbonate system are comparable and seem to have occurred simultaneously across the entire basin, suggesting that the cyclic sequence architecture was fundamentally controlled by eustatic fluctuations. Stacking patterns of the composite sequences varied due to the interplay between the accommodation produced by tectonism and sea‐level change, and the carbonate production rate. The reef–shoal facies complexes that developed along the platform margins, with paleokarst development at unconformities, constitute the major reservoir of large petroleum reserves in the basin.     

新疆和田地区耕地面源污染生态风险评价

随着化肥、农膜等在农业生产中的过量投入,耕地面源污染的程度随之加重。文章选取塔里木河流域上游和田地区为研究区域,依据P-S-R框架理论,构建和田地区耕地面源污染生态风险评价指标体系,加入土壤理化数据,使用生态风险评价模型对和田地区1980 年及2016 年耕地面源污染状况进行生态风险评价,运用耕地生态风险模型、生态风险转移矩阵、Arcgis分析和田地区耕地面源污染时空分异状况。研究结论如下：和田地区1980 年耕地生态风险等级均为II级或III级,呈“中间高,两侧低”分布;2016 年耕地生态风险等级上升至IV级或V级,呈“倒W型”分布,各县耕地面源污染程度较1980 年均有较大幅度的上升,其中墨玉县和于田县在2016 年耕地生态风险等级达到最高的V级,而民丰县因自身生态环境的强脆弱性,同样需要提高关注。根据面源污染“从源头治理”的原则,应切实推进和田地区耕地生态环境保护与治理,提高政府重视程度,增强技术指导,开展试点工作,改善和田地区耕地面源污染现状。     

哈达贺休盐湖卤水氢氧同位素特征及成因分析

内蒙古哈达贺休盐湖蕴藏着较为丰富的地下卤水资源,但人们对其成因和演化机制尚缺乏充分的认识。本文采用稳定同位素方法,研究了哈达贺休盐湖地下卤水及其周边水体的氢氧同位素组成特征,并对卤水的成因进行了分析。结果表明：哈达贺休盐湖地下卤水的?D和?18O值平均值分别为-0.53 ‰和4.01 ‰,黑河河水的?D和?18O值平均值分别为-36.73 ‰和-5.51 ‰,居延海湖水的?D和?18O值平均值分别为1.26 ‰和2.73 ‰,当地大气降水的?D和?18O值平均值分别为-5.30 ‰和-1.20 ‰。研究区水体的蒸发趋势线方程为δD=5.32δ18O-20.08,该蒸发线偏离全球大气降水线。黑河河水的氘盈余值（d）最大,湖水和地下卤水的最小,而且湖水和卤水的d值与TDS呈负相关关系。偏正的?D和?18O值以及较小的d值,表明研究区卤水经历了强烈的蒸发,同时还存在与含氧类矿物的同位素交换反应。卤水和居延海湖水氢氧同位素值分布比较集中并且接近,二者都由黑河河水演化而来。     

The first extra-large helium-rich gas field identified in a tight sandstone of the Dongsheng Gas Field,Ordos Basin,China

Science China Earth Sciences - Helium gas is a scarce but important strategic resource, which is usually associated with natural gas. Presently, only one extra-large helium-rich gas field has been...     

稳定碳同位素在湘中千佛洞上覆土壤-滴水-现代沉积物的迁移特征研究

通过对2021年1月~2022年10月期间,湘中千佛洞洞外大气-上覆土壤气-洞穴空气二氧化碳含量（pCO₂）及其碳同位素（δ¹³C_CO2）、8个洞穴水体（4个滴水、3个地下河水、1个池水）溶解无机碳同位素（δ¹³C_DIC）以及洞穴现代沉积物碳同位素（δ¹³C）的连续监测,初步获得了监测时段内千佛洞岩溶系统中δ¹³C在垂直方向上运移的变化特征,并得到以下3点主要认识：1）千佛洞上覆土壤气、洞穴空气pCO₂及δ¹³C_CO2表现出相似的季节变化特征,夏季pCO₂偏高,δ¹³C_CO2偏轻,冬季则相反。降水量和温度是土壤pCO₂及δ¹³C_CO2变化的主要影响因素;2）千佛洞洞穴水体δ¹³C_DIC值呈现显著的季节变化规律,夏季偏轻,冬季偏重,表明土壤pCO₂及δ¹³C_CO2对其影响较大,说明该洞洞穴水体δ¹³C_DIC可以较好地响应外界环境变化。此外,4个滴水点δ¹³C_DIC值在变幅和绝对值之间存在一定差异,这可能是受到不同滴水点的运移路径和滴水速率等因素的影响;3）千佛洞现代沉积物δ¹³C也表现出明显的季节变化特征,说明该洞现代沉积物δ¹³C可以较好地继承滴水中的δ¹³C_DIC信号。千佛洞的初步观测结果为利用该洞穴或者临近区域洞穴沉积物开展古气候重建提供了借鉴和参照。

     

柴达木盆地马海钾盐矿床沉积环境与开发

马海钾矿床是柴达木盆地内重要的盐类矿床之一。从盐类矿床沉积物的物相分析入手,着重揭示该成盐盆地沉积环境和古地理变迁特征,论述湖盆由形成、发展至老化衰亡的演变规律,反映了从上新世末期以来新构造运动在矿区地质构造上的典型表现,由这些成矿因素构建的矿床地质构造特征也得到总结。依照持续稳定发展的要求,就矿床开发过程中出现的急功近利局面,提出调整产品结构和重新布局开采对象的新策略,对企业生产实践具有指导意义。     

Salinivibrio sp.YH4胞外丝氨酸蛋白酶EYHS耐盐性及生物信息学分析

摘要：目的 探讨菌株Salinivibrio sp.YH4分泌的丝氨酸蛋白酶EYHS的耐盐性及结构特征。方法 明胶底物酶谱法分析EYHS的耐盐性。应用生物信息学手段对EYHS及6种耐盐的S8家族丝氨酸蛋白酶结构特征进行分析。结果 EYHS在4 mol/L的NaCl溶液中仍具有活性,属于耐盐蛋白酶。EYHS及6种S8家族丝氨酸蛋白酶分子表面的loop区等无规则卷曲所占比例较高,α-螺旋与β-片层则主要位于酶分子内部。EYHS分子表面酸性氨基酸含量较高,且具有弱疏水内核。多序列比对发现蛋白酶的催化三联体两侧存在高度保守的基序和保守的极性氨基酸及芳香族氨基酸,并存在多个保守的Gly与Ala。同源模建和表面电荷分布显示,α螺旋和β片层围成了蛋白酶的催化腔,EYHS活性中心包含由Asp32、His65与Ser215组成的催化三联体,且催化位点区域表面静电势为负。结论 上述结构特征可能有助于耐盐丝氨酸蛋白酶EYHS在高盐环境下维持其稳定性和适度柔性,并有助于其催化功能的发挥,为深入研究耐盐丝氨酸蛋白酶的高盐环境适应性提供了一定的理论依据。     

南黄海夏末叶绿素a的分布特征

根据1995年9月利用日本《神鹰丸》号调查船在黄海32°00'–35°00'N,122°00'–127°00'E海区的19个站位上进行的中日联合调查研究中叶绿素a含量的调查资料,探讨南黄海海区夏末初叶绿素a含量的变化、平面分布、断面分布和垂直分布状况,以及与海域环境因子之间的关系。在每个测站上作垂直取样,表层水用圆塑料桶取自海表面,深层水用日本提供的专用采水器采集,取出水样立即量取200ml,用玻璃纤维滤膜过滤浓缩,并加入2％的饱和碳酸镁溶液,防止叶绿素脱镁,然后保存在冰箱内（-1°C）,用冰桶带回实验室进行分析。将载有浮游植物的滤膜放入闪烁瓶内加入10ml 90％的丙酮溶液,在冰箱内提取24h。用萃取荧光法测定叶绿素a含量。结果表明,该海域的叶绿素a含量较高,平均值为1.14mg／m³,其变化范围为0.10–7.76mg／m³,最高值在次表层。（1）平面分布:各层次平面分布特征差异较大。33°00'–33°30'N之间叶绿素a含量均较低,低于0.50mg／m³。33°30'N以北,叶绿素a含量低于0.20mg／m³,而33°00'N以南,除济州岛附近的17–19导站以外,叶绿素a含量均较高,高于100mg／m³。（2）断面分布:水深在30m时,叶绿素a含量的高值区在20m以上水体的次表层中,而水深为50–80m时,其高值分布在20–40m的次表层中。（3）叶绿素a的垂直分布也体现了断面分布的特征。所以作者认为,光是浮游植物生长和繁殖的重要因子之一。     

Potential promoted productivity and spatial patterns of medium- and low-yield cropland land in China

With a continuously increasing population and better food consumption levels, improving the efficiency of arable land use and increasing its productivity have become fundamental strategies to meet the growing food security needs in China. A spatial distribution map of medium- and low-yield cropland is necessary to implement plans for cropland improvement. In this study, we developed a new method to identify high-, medium-, and low-yield cropland from Moderate Resolution Imaging Spectroradiometer (MODIS) data at a spatial resolution of 500 m. The method could be used to reflect the regional heterogeneity of cropland productivity because the classification standard was based on the regionalization of cropping systems in China. The results showed that the proportion of high-, medium-, and low-yield cropland in China was 21%, 39%, and 40%, respectively. About 75% of the low-yield cropland was located in hilly and mountainous areas, and about 53% of the high-yield cropland was located in plain areas. The five provinces with the largest area of high-yield cropland were all located in the Huang-Huai-Hai region, and the area amounted to 42% of the national high-yield cropland area. Meanwhile, the proportion of high-yield cropland was lower than 15% in Heilongjiang, Sichuan, and Inner Mongolia, which had the largest area allocated to cropland in China. If all the medium-yield cropland could be improved to the productive level of high-yield cropland and the low-yield cropland could be improved to the level of medium-yield cropland, the total productivity of the land would increase 19% and 24%, respectively.     

Validation of the effects of temperature simulated by multi-model ensemble and prediction of mean temperature changes for the next three decades in China

Using series of daily average temperature observations over the period of 1961–1999 of 701 meteorological stations in China, and simulated results of 20 global climate models (such as BCCR_BCM2.0, CGCM3T47) during the same period as the observation, we validate and analyze the simulated results of the models by using three factor statistical method, achieve the results of multi- model ensemble, test and verify the results of multi-model ensemble by using the observation data during the period of 1991–1999. Finally, we analyze changes of the annual mean temperature result of multi-mode ensemble prediction for the period of 2011–2040 under the emission scenarios A2, A1B and B1. Analyzed results show that: (1) Global climate models can reproduce Chinese regional spatial distribution of annual mean temperature, especially in low latitudes and eastern China. (2) With the factor of the trend of annual mean temperature changes in reference period, there is an obvious bias between the model and the observation. (3) Testing the result of multi-model ensemble during the period of 1991–1999, we can simulate the trend of temperature increase. Compared to observation, the result of different weighing multi-model ensemble prediction is better than the same weighing ensemble. (4) For the period of 2011–2040, the growth of the annual mean temperature in China, which results from multi-mode ensemble prediction, is above 1 °C. In the spatial distribution of annual mean temperature, under the emission scenarios of A2, A1B and B1, the trend of growth in South China region is the smallest, the increment is less than or equals to 0.8 °C; the trends in the northwestern region and south of the Qinghai-Tibet Plateau are the largest, the increment is more than 1 °C.