Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R² = 0.25–0.90) was slightly worse than that of the RF algorithm (R² = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R² = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R² = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.     

祁县王村锶—偏硅酸饮用天然矿泉水

王村矿泉水为松散岩类孔隙水和碎屑岩裂隙水的混合水。它受深循环远源补给。矿泉水的动态稳定、水质优良、口感纯正，属锶—偏硅酸饮用天然矿泉水，是山西较好的饮用矿泉水源之一，有良好的开发前景。稷山南阳矿泉水是一个含锶—锌—偏硅酸等多种微量元素的重碳酸硫酸钠型饮用天然矿泉水。该矿泉水处于侯马断陷盆地内次一级断裂的复合部位，赋存于中更新统中下部的中细砂层中。水量丰富，涌水量可达８００ｍ￣３／ｄ。此矿泉水动态稳定，口感纯正，产地环境优美，无任何污染。自１９８８年发现，１９８９年开发利用至今，该矿泉水、矿泉饮料畅销不衰，是一处具有发展远景的优质矿泉水。     

青海牧区近10年牧草产量变化与气象条件的关系

利用DPS统计中的相关、回归等方法分析近10年青海高原牧区5站点牧草产量变化与气象因子的关系,并建立了牧草产量的气象条件多元回归拟合模型。结果表明：近10年来牧草产量的年最高值河南、甘德总体呈下降趋势,曲麻莱、海北、兴海总体呈上升趋势;5站点牧草产量5月变幅最大为兴海,变幅最小的为海北,6—8月变幅最大的是曲麻莱,变幅最小的是海北;5站点8月牧草产量形成期总体上日照充足,降水除河南阶段性较充沛外,其余受限制,温度除河南在牧草生长季内当光温出现匹配不当时呈负相关外,其余均受限制;气象因子与5站点年最高牧草产量的拟合模式拟合效果较好,均可通过0.01检验。     

中国天然气进口的空间格局分析

文章从中国发展低碳经济的需要出发,指出天然气是一种理想的高效清洁能源,是发展低碳能源的首选。通过分析中国天然气供不应求、世界天然气供过于求的市场现状,以及世界天然气资源的分布,提出中国从其周边国家进口天然气符合经济高效原则。中国从国外进口天然气主要有四条路线,即中亚输入通道;缅甸输入通道;俄罗斯输入通道;海上输入通道（重点分析了澳大利亚输入通道）。文章对此四条路线格局及其地缘优势进行了分析,认为中国天然气进口的空间格局已基本形成,这将对我国未来发展低碳经济和保护环境起重要的促进作用。     

柴达木盆地自然伽玛曲线与古里雅冰芯记录的末次间冰期以来气候环 …

采用柴达木盆地达参１井井自然伽玛（ＧＲ）曲线进行古气候反演,分析了ＧＲ曲线记录的末次间冰期以来的环境变迁过程,表明ＧＲ曲线忠实地记录了构造运动及气候变化的影响,与古里雅产,格陵兰冰芯所记录的气候事件均能均较好对应,表明柴达木盆地同时包含了高原隆升和全球性气候变化的信息,是反映古气候变化良好的信息载体之一,是反映内陆干旱盆地环境与气候变化良好的代用指标。     

东亚冬季风年际变化的ENSO信息 I.模拟资料分析

系统分析了观测海温强迫９层大气环流模式的模拟资料,结果表明该大气环流模式能够对与ＥｌＮｉｎｏ、ＬａＮｉｎａ事件爆发有关的赤道太平洋异常纬向风和对流活动有很好的模拟;模拟中的东亚冬季风具有明显的年际变化特征,这种变化与观测结果有很好的一致性,而且进一步分析发现这种年际变化具有显著的２～７年的周期,即东亚冬季风异常与ＥＮＳＯ密切相关。     

闪长岩强风化带做高层建筑天然地基的可行性研究

借助于中国工商银行山东省分行营业办公楼的工程实践,将常规勘察与原位测试相结合,运用野外钻探、室内试验、原位测试多种手段,对闪长岩强风化带的物理力学性质进行了测试分析和深入地研究,并通过对承载力、沉降变形的验算,得出其作为高层建筑的天然地基是可行的。实践证明,与桩基础处理方案相比,节省资金近200万元,大大加快了施工进度,减少了基础施工难度,取得了巨大的经济效益与社会效益;同时,也提出了研究岩石风化带所遇到的问题:由于采取原状试样及制样难,导致对其物理力学性质了解不够。     

Spatial distribution and behavior of dissolved selenium speciation in the South China Sea and Malacca Straits during spring inter-monsoon period

Selenium(Se) has been recognized as a key trace element that is associated with growth of primary producers in oceans. During March and May 2018, surface water(67 samples) was collected and measured by HG-ICP-MS to investigate the distribution and behavior of selenite [Se(IV)], selenate [Se(VI)] and dissolved organic selenides(DOSe) concentrations in the Zhujiang River Estuary(ZRE), South China Sea(SCS) and Malacca Straits(MS). It showed that Se(IV)(0.14–3.44 nmol/L) was the dominant chemical species in the ZRE, related to intensive manufacture in the watershed; while the major species shifted to DOSe(0.05–0.79 nmol/L) in the MS, associated with the wide coverage of peatland and intensive agriculture activities in the Malaysian Peninsula. The SCS was identified as the northern and southern sections(NSCS and SSCS) based on the variations of surface circulation.The insignificant variation of Se(IV) in the NSCS and SSCS was obtained in March, potentially resulting from the high chemical activity and related preferential assimilation by phytoplankton communities. Contrastively, the lower DOSe concentrations in the SSCS likely resulted from higher primary production and utilization during March. During May, the concentration of Se(IV) remained low in the NSCS and SSCS, while DOSe concentrations increased notably in the SSCS, likely due to the impact of terrestrial inputs from surface current reversal and subsequent accumulation. On a global scale, DOSe is the dominant Se species in tropical oceans, while Se(IV) and Se(VI) are major fractions in high-latitude oceans, resulting from changes in predominated phytoplankton and related biological assimilation.     

自然气候变异与人为气候变化对径流影响研究进展

在回顾IPCC于1990-2007年4次关于气候变化对径流影响的评估报告进展的基础上,将第一次与第二次评估报告归纳为第一代--以气候均值变化对径流影响及其适应为主要特征;第三次与第四次评估报告为第二代--突出人为气候变化与自然气候变异对径流影响及其适应问题,分析了常规的气候变化对水文水资源影响评估方法的发展过程及存在的问题。研究结果反映了年代际时间尺度的自然气候变异的影响,而未能考虑与极端事件发生频次和强度变化密切相联的日、季和年际尺度的气候变异的影响,从而低估了气候变暖对洪水、干旱以及农业灌溉需水的负面作用。在介绍国内外研究的基础上,为第五次IPCC评估报告提出了加强交叉学科综合研究的建议。     

黄河包头段常见离子对重金属在沉积物上吸附影响机制研究

常见阴阳离子对重金属在黄河包头段相对清洁河段表层沉积物中的吸附影响研究结果表明,不同的环境离子浓度范围内,起主导作用的影响机制不同,黄河包头段水环境中Na 、Mg2 和Ca2 对Zn2 的吸附影响较大,K 对Cu2 、Pb2 、Zn2 和Cd2 吸附影响均较大,Cl-、SO2-4对Cu2 、Pb2 、Zn2 和Cd2 的吸附影响均较小,而HCO-3;对Pb2 的影响较小,对Cu2 、Zn2 、Cd2 的吸附影响较大.