Spatial Variability of Nitrate and Ammonium in Pleistocene Aquifer of Central Yangtze River Basin

It becomes increasingly important and challenging for nitrogen pollution prevention to identify key controls for spatial variability of nitrogen in groundwater that could be affected by multiple factors, including anthropogenic input, groundwater flow, and local geochemistry. This study characterized spatial variability of both nitrate and ammonium in the Pleistocene aquifer of central Yangtze River Basin and assessed the effect of various factors in controlling nitrate and ammonium levels based on multiple statistical approaches (correlation, geostatistics, multiple liner regression). The results indicate that nitrate is mostly influenced by Cl⁻ that represents anthropogenic input, while Eh representing local redox state is a secondary variable influencing nitrate concentrations. The groundwater with elevated nitrate concentrations are estimated to occur mainly in areas with higher-permeability near-surface sediments which can facilitate more anthropogenic nitrate transport and less nitrate removal owing to more oxidized state. Ammonium is mostly correlated to Eh, followed by dissolved organic carbon (DOC), but only DOC improves significantly the accuracy of co-kriging prediction model. The groundwater with elevated ammonium concentrations are estimated to occur mainly in areas with more organic-rich sediments within or around the aquifer which can facilitate more ammonium release owing to natural organic matter consumption accompanying strong reducing conditions. The regional groundwater flow is not a factor significantly controlling nitrate or ammonium levels owing to flat topography and sluggish lateral flow.     

滇池入湖河流磷负荷时空变化及形态组成贡献

研究了2013年滇池主要入湖河流总磷(TP)及各形态磷浓度的时空变化与入湖负荷特征,并探讨了不同形态磷的入湖负荷贡献.结果表明:(1)滇池河流入湖TP浓度在0.11~1.93 mg/L之间,以溶解性无机磷(DIP)和颗粒态磷(PP)为主,溶解性有机磷(DOP)浓度较低;(2)滇池河流入湖磷负荷总量为280.51 t/a,绝大多数河流主要以DIP形态入湖,平均贡献率为43.48%;PP形态入湖负荷次之,平均贡献率为31.64%;DOP入湖负荷较低,平均贡献率为24.88%;(3)DIP入湖负荷贡献率较高值出现在3、4和11月的枯水期,平均入湖负荷贡献率达到55.30%;PP入湖负荷贡献率较高值出现在1和7月,平均入湖负荷贡献率为56.14%;DOP入湖负荷贡献率月变化差异较小,最高值出现在12月,贡献率为21.85%;(4)研究滇池入湖河流污染负荷不仅要考虑溶解态无机磷的贡献,而且需要重视PP和DOP负荷,控制滇池入湖河流污染负荷需要考虑不同河流不同形态磷负荷组成及月变化差异特征,有针对性地采取相应措施.     

过量Zn2+对水花生(Alternanthera philoxeroides)愈伤组织氧化胁迫及多胺代谢的影响

以植物组织培养技术培养的水花生愈伤组织为实验材料,研究了过量Zn2+(0、0.2、0.4、0.8、1.6 mmol/L)对水花生愈伤组织的氧化损伤及多胺代谢的影响.结果表明,随着Zn2+浓度增加:(1)水花生愈伤组织的超氧阴离子产生速率和硫代巴比妥酸反应物水平显著提升,超氧化物歧化酶活性明显抑制,叶绿素a含量显著降低;(2)精氨酸脱羧酶和鸟氨酸脱羧酶活性均升高,多胺氧化酶和二胺氧化酶活性在低Zn2+浓度处升高、高Zn2+浓度处降低;(3)总腐胺和总精胺含量在低Zn2+浓度处降低、高Zn2+浓度处增加,总亚精胺含量仅在Zn2+浓度为1.6 mmol/L时有显著增加;(4)游离态腐胺含量变化与总腐胺含量相似,游离态亚精胺含量在高Zn2+浓度时下降,游离态精胺含量仅在Zn2+浓度为0.2 mmol/L时略有下降;(5)结合态腐胺和精胺在Zn2+浓度为0.2 mmol/L时下降而在其余处理组中上升,结合态亚精胺含量各处理组中均增加;(6)束缚态腐胺和亚精胺含量均下降.可见,过量Zn2+胁迫导致水花生愈伤组织氧化性损伤,并扰乱其多胺代谢平衡;束缚态多胺向结合态多胺的转化是过量Zn2+胁迫下水花生愈伤组织多胺代谢变化的一个显著特征;以结合态为代表的内源性多胺积累对水花生愈伤组织抵抗过量Zn2+胁迫具有重要意义.     

无人机遥感技术在新疆皮山地震灾情获取中的应用

2015年07月03日,新疆维吾尔自治区和田地区皮山县（37.6°N,78.2°E）发生M_S6.5级地震,震源深度10km。本文利用高性能无人机数据采集平台获取灾区高分辨率影像数据,结合地震现场震害调查建立建筑物震害遥感解译特征,采用人工目视解译完成了灾区6个0.01°×0.01°格网评估区房屋类型及损毁程度应急遥感调查,获取测区地震灾情信息。结果表明:测区内房屋结构类型主要包括土木、砖木、砖混结构;倒塌房屋主要为土木结构及个别老旧砖木结构房屋,倒塌和局部倒塌的土木结构房屋占评估区土木结构房屋总数的68%,倒塌和局部倒塌的砖木结构房屋占评估区砖木结构房屋总数的12%;测区砖混结构房屋局部倒塌1间,未倒塌228间,砖混结构显示出良好的抗震性能,对避免人员伤亡和减少经济损失起到重要作用。     

珠江流域东江干流浮游植物叶绿素a时空分布及与环境因子的关系

为了解珠江流域东江干流水体叶绿素a的时空分布及与环境因子的关系,于2012年6月(丰水期)和12月(枯水期)对东江干流进行采样调查分析.结果表明,东江水体叶绿素a含量具有明显的时空分布特征,其全年变化范围为0.84~14.93μg/L,整体均值为3.60±2.45μg/L,丰水期叶绿素a含量显著高于枯水期;而丰、枯水期叶绿素a含量空间分布特征相似,上游河段显著低于下游河段.相关性与主成分分析结果显示,水体中总氮浓度、总磷浓度、有机物含量、水温和水流流速等都是影响东江浮游植物生长的重要因素,其中以总磷的影响最为显著,表明磷可能是东江浮游植物生长的限制因子.     

2017年8月9日精河6.6级地震灾害损失及灾后恢复重建经费评估

2017年8月9日新疆精河发生6.6级地震,地震造成36人受伤,各类房屋建筑、公共服务设施、基础设施等遭受不同程度的破坏。通过实地抽样调查,按照国家标准的原则和方法,评估出此次地震造成的直接经济损失为429964万元,灾后恢复重建经费约需538461万元。     

TWO DIMENSIONAL MODEL ON RELATION BETWEEN THERMAL ANOMALY BEFORE WENCHUAN EARTHQUAKE AND TECTONIC STRESS

It has been reported that there is thermal anomaly within a certain time and space preceding an earthquake, and previous research has indicated potential associations between the thermal anomaly and earthquake faults, but it is still controversial whether physical processes associated with seismic faults can produce observable heat.Based on rock experiments, some scholars believe that the convective and stress-induced heat associated with fault stress changes may be the cause of those anomalies. Then, did the thermal anomaly before the Wenchuan earthquake induced by the fault stress change?It remains to be tested by numerical simulations on the distribution and intensity of thermal anomalies. For example, is the area of thermal anomaly caused by the fault stress changes before the earthquake the same as the observation?Is the intensity the same?To clarify the above questions, a two-dimensional thermo-hydro-mechanical(THM)finite element model was conducted in this study to simulate the spatial and temporal variations of thermal anomalies caused by the underground fluid convection and rock stress change due to the tectonic stress release on fault before earthquake. Results showed that the simulated thermal anomalies could be consistent with the observed in magnitude and spatio-temporal distribution. Before the Wenchuan earthquake, deformation-related thermal anomalies occurred mainly in the fault zone and its adjacent hanging wall, which are usually abnormal temperature rise, and occasionally abnormal cooling, occurring in the fault zone after the peak temperature rise. In the fault zone, the thermal anomaly is usually greater than the order of 1K of the equivalent air temperature and is controlled by the combined effect of fluid convection and stress change. The temperature increases first and then decreases before the earthquake. In the hanging wall, it's weaker than that of the fault zone, mainly depending on the convection of the fluid. The temperature gradually increases before the earthquake and is dramatically affected by the permeability. Usually, only when the permeability is larger than 10^-13m², can the air temperature rise higher than 1K occur. The results of this study support the view that fluid convection and stress change caused by fault slip before the earthquake can produce observable air temperature anomalies.     

水平分层土层系统等效阻尼比的简化计算方法

在实际工程场地中,很多土层可视为水平分层,各层土的物理和力学性质存在差异,其中包括土的振动阻尼比。本文讨论水平分层土层系统的等效阻尼比的近似计算方法,基于5个不同的加权函数推导了10种等效阻尼比的计算公式。通过2个算例,分别以等效阻尼比为参数计算水平分层土层的地震反应,并与准确解相比较,分析了不同等效阻尼比近似计算方法的计算精度。数值结果表明,若等效阻尼比计算方法选择不恰当,会导致土层地震反应的计算结果出现较大误差。针对2种不同类型的水平分层土层,建议采用基于三角形分布的加权函数来计算土层系统的等效阻尼比。     

Inversion of the three-dimensional temperature structure of mesoscale eddies in the Northwest Pacific based on deep learning

Mesoscale eddies, which are mainly caused by baroclinic effects in the ocean, are common oceanic phenomena in the Northwest Pacific Ocean and play very important roles in ocean circulation, ocean dynamics and material energy transport. The temperature structure of mesoscale eddies will lead to variations in oceanic baroclinity, which can be reflected in the sea level anomaly (SLA). Deep learning can automatically extract different features of data at multiple levels without human intervention, and find the hidden relations of data. Therefore, combining satellite SLA data with deep learning is a good way to invert the temperature structure inside eddies. This paper proposes a deep learning algorithm, eddy convolution neural network (ECN), which can train the relationship between mesoscale eddy temperature anomalies and sea level anomalies (SLAs), relying on the powerful feature extraction and learning abilities of convolutional neural networks. After obtaining the temperature structure model through ECN, according to climatic temperature data, the temperature structure of mesoscale eddies in the Northwest Pacific is retrieved with a spatial resolution of 0.25° at depths of 0–1 000 m. The overall accuracy of the ECN temperature structure is verified using Argo profiles at the locations of cyclonic and anticyclonic eddies during 2015–2016. Taking 10% error as the acceptable threshold of accuracy, 89.64% and 87.25% of the cyclonic and anticyclonic eddy temperature structures obtained by ECN met the threshold, respectively.     

Groundwater flow path determination during riverbank filtration affected by groundwater exploitation: a case study of Liao River,Northeast China

The groundwater flow path plays an important role in maintaining hydrological and ecological quality and security, which are important in the comprehensive management and use of both groundwater and surface water. In this study, an integrated multi-tracer-constrained framework was used to determine the groundwater flow path. The results show that there are shallow and deep flow paths in riverbank filtration, controlled by the different permeabilities of riverbed sediments and aquifers at different depths. The contribution of river water to shallow groundwater is less than that to deep groundwater because of the low permeability of the riverbed sediment in the dense muddy layer in the shallow slope of the river valley. This contribution decreases with increasing distance from the Liao River. The shallow groundwater quality is better than the deep groundwater quality because of its longer residence time.