Identification of physical processes inherent in artificial neural network rainfall runoff models

The emergence of artificial neural network (ANN) technology has provided many promising results in the field of hydrology and water resources simulation. However, one of the major criticisms of ANN hydrologic models is that they do not consider/explain the underlying physical processes in a watershed, resulting in them being labelled as black‐box models. This paper discusses a research study conducted in order to examine whether or not the physical processes in a watershed are inherent in a trained ANN rainfall‐runoff model. The investigation is based on analysing definite statistical measures of strength of relationship between the disintegrated hidden neuron responses of an ANN model and its input variables, as well as various deterministic components of a conceptual rainfall‐runoff model. The approach is illustrated by presenting a case study for the Kentucky River watershed. The results suggest that the distributed structure of the ANN is able to capture certain physical behaviour of the rainfall‐runoff process. The results demonstrate that the hidden neurons in the ANN rainfall‐runoff model approximate various components of the hydrologic system, such as infiltration, base flow, and delayed and quick surface flow, etc., and represent the rising limb and different portions of the falling limb of a flow hydrograph. Copyright © 2004 John Wiley & Sons, Ltd.     

钾霞石制备体系碱性滤液的利用技术

为处理钾长石水热制备钾霞石所产生的碱性滤液,本文采用水热法,考察了氢氧化铝溶解时间、晶化时间、晶化温度、水碱比对钾霞石产率和白度的影响,并对合成钾霞石物相进行了表征。结果表明,合成钾霞石的最佳条件为,氢氧化铝溶解时间为1.5 h,晶化时间为4 h,晶化温度280℃,水碱比为1.8。XRD结果表明,产物为钾霞石粉体。傅里叶变换红外光谱表明,Al(OH)₃中的Al在水热条件下进入到Si—O骨架中形成了Si—O—Al官能团,从而印证了钾霞石的合成。差热分析结果表明,合成钾霞石具有良好的热稳定性。氮气吸附结果表明,合成钾霞石比表面积为5.18 m²/g,平均孔径为32.98 nm。实现了钾长石水热制备钾霞石所剩碱性滤液的资源化利用,并为钾长石水热制备钾霞石提供了一种母液循环的思路,使水热制备钾霞石工业化成为一种可能。     

APPROACH TO KARST SOLUTION PROCESS RESPONSES ON CLIMATE

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Application of discovery process models in estimating petroleum resources at the play level in China

Discovery process modeling has gained wide acceptance in the Chinese exploration community. In recent years, a variety of discovery process models have been applied to the prediction of undiscovered petroleum resources at the play level in sedimentary basins in China. However, challenging problems have been encountered, particularly when one method alone has been applied to small plays in nonmarine sedimentary basins or in plays with an unusual order of discovery wells. This paper presents results gotten by using the lognormal discovery process model of the Geological Survey of Canada and the geoanchored method for three petroleum plays in basins with different geologic settings. Although the predicted shapes of the parentsize distributions which use these two models, were not always similar, the expected values of the total resources and the number of fields (pools) to be discovered are comparable. The combined use of two discovery process models in the same play compensates for the weaknesses in one method compared with the other and vice versa. Thus, more reliable estimates are the result.     

湘中南二叠系孤峰组硅质岩的成因属性及其地球动力学指示意义

华南二叠系底部的硅质岩及同一层位对应于华南重要的地幔强活动期和成矿期，有非常重要的动力学指示意义。研究表明，孤峰组剖面的岩性可划分为三段：泥页岩段、厚层状硅质岩段和薄层状硅质岩段。沿剖面自下而上，Al2O3、K2O和TiO2含量逐渐降低，MnO、TFe等组分逐渐升高；稀土元素显示出一定的铈负异常，∑REE偏低，且向上∑REE逐渐减少而HREE／LREE逐渐增高；一些热水沉积诊断性微量元素如As、Sb、Hg等也显示出一定程度的异常。这些特征均表明硅质岩的成岩过程中包含有正常沉积和热水沉积的共同作用，且自下而上热水沉积作用逐渐增强的趋势。这种成岩作用的演化特征，代表了下扬子地台拉张裂陷盆地对晚古生代伸展背景的沉积响应，对于探讨裂谷盆地阶段性发育的动力学特征有一定的指示意义。     

热液中铅、锌、银共生分异的热力学探讨

通过元素基本性质的对比以及热力学计算分析，探讨了热液中银、铅、锌的共生分异机制。在酸性至近中性条件下，氯配合物是它们在热液中的存在形式，其中锌氯配合物最稳定；在近中性到碱性条件下，硫氢配合物占主导地位，此时，银硫氢配合物相对最稳定。温度下降、[Cr]降低、pH升高及f(O2)降低，引起银、铅、锌配合物溶解度减小，发生沉淀分离；对于硫氢配合物，其稳定性主要受pH及还原硫浓度的影响。因此，配合物的不同存在形式以及配合物稳定性之间的差异，使得它们对热液条件的改变做出不同的响应，从而导致了热液中银、铅、锌在成矿过程中的共生分异。     

坡面溅蚀发生过程及其与坡度关系的模拟研究

通过人工模拟降雨试验,分别观测降雨过程中不同方向上溅蚀强度的变化,根据各影响因子间相互消长及相互制约的关系特点,分析了雨滴溅蚀发生的过程特征及其变化原因,从溅蚀过程的变化特点及溅蚀强度的变化规律比较,定量地探讨了坡度对雨滴击溅侵蚀的影响作用,得出了溅蚀强度与坡度因子之间的关系方程。     

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.     

A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations

Mega-urban agglomerations are strategic core areas for national economic development and the main regions of new urbanization. They also have important roles in shifting the global economic center of gravity to China. However, the development of mega-urban agglomerations has triggered the interactive coercion between resources and the eco-environment. The interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations represent frontier and high-priority research topics in the field of Earth system science over the next decade. In this paper, we carried out systematic theoretical analysis of the interactive coupling mechanisms and coercing effects between urbanization and the eco-environment in mega-urban agglomerations. In detail, we analyzed the nonlinear-coupled relationships and the coupling characteristics between natural and human elements in mega-urban agglomerations. We also investigated the interactive coercion intensities between internal and external elements, and the mechanisms and patterns of local couplings and telecouplings in mega-urban agglomeration systems, which are affected by key internal and external control elements. In addition, we proposed the interactive coupling theory on urbanization and the eco-environment in mega-urban agglomerations. Furthermore, we established a spatiotemporal dynamic coupling model with multi-element, multi-scale, multi-scenario, multi-module and multi-agent integrations, which can be used to develop an intelligent decision support system for sustainable development of mega-urban agglomerations. In general, our research may provide theoretical guidance and method support to solve problems related to mega-urban agglomerations and maintain their sustainable development.     

关于矿产资源勘查开采过程中关键节点的探讨

随着采矿等矿业活动在全球范围内的大面积进行,人们对矿山及其周边环境问题的关注度持续增加。电感耦合多接收等离子体质谱仪(MC-ICP-MS)的出现推动了同位素的地球化学研究,也使得同位素示踪技术被广泛应用于探究矿山环境中的各类问题。为强调同位素示踪技术在复杂矿山环境中应用的重要性及其能解决科学问题的多样性,本文调研和分析了截至2022年7月国内外学者公开发表的借助同位素示踪技术测试、分析矿山水文环境中的地球化学过程及污染物来源/影响等方面的论文及其数据,研究区涵盖二十多个国家、四十多个地区。通过总结发现：水体氢、氧同位素示踪技术是矿山水源解析、水力联系研究及酸性矿山废水(AMD)源识别的有效工具;硫酸盐硫、氧同位素示踪技术为研究矿山环境中的硫酸盐来源、AMD酸化过程及污染、细菌硫酸盐的还原作用与元素迁移转化等提供重要支持;重金属(铅、镉、锌、汞等)同位素示踪技术是探究矿山及附近环境中的金属污染来源及不同来源贡献率的有效手段。大量研究表明,虽然同位素技术在解析矿山环境污染物来源和特征污染物迁移转化机制以及揭示矿山水文地球化学过程等方面起到重要作用,但目前的大部分研究局限于应用单一/少数同位素对矿山环境介质进行短时间示踪研究。因此,未来需进一步发展多同位素示踪技术,并对矿山环境中存在的各类问题进行长期、持续地监测调查,提出有效的污染防治新方法。