A two‐dimensional inverse model to identify transmissivity in an anisotropic aquifer

This study suggested a numerical model using the Tabu search algorithm along with the Adjoint State method to identify the hydrogeological characteristics of an anisotropic groundwater aquifer. The Tabu search algorithm was applied to identify the anisotropic transmissivity components to avoid a local optimum. Then, the Adjoint State method was used to calculate the sensitivity of the parameters in order to increase the efficiency of the optimization. For an anisotropic and homogeneous aquifer, results showed that the optimal procedure presented combining the Tabu search algorithm and the Adjoint State method might successfully identify the values of the transmissivity components. If the duration of the pumping test was long enough (12‐h pumping test), the value of the transmissivity components could be optimized with type‐curve, straight‐line, and Tabu search methods, along with the Adjoint State methods. If the duration of the pumping test was short (0·5‐h pumping test), the Tabu search method, along with the Adjoint State method proposed herein, might successfully optimize the transmissivity components. For an anisotropic but heterogeneous aquifer, results showed that the suggested optimal procedure still successfully identified the values of the transmissivity components. Copyright © 2008 John Wiley & Sons, Ltd.     

自适应重磁对应分析

采用传统重磁对应分析数据处理方法,计算了单体模型和三体模型条件下重磁异常的相关系数。结果显示:重磁异常中心区域的相关系数绝对值在重磁异常重合时为1,否则小于1(能指示重磁异常是否相关);在远离异常源或无重磁异常地区的相关系数绝对值不论重磁异常是否重合都趋于1(没有实际意义)。鉴于此,笔者提出了自适应重磁对应分析方法,并在晋冀北缘-辽西铁矿成矿带进行了2种方法的对比应用试验。结果表明:在滦南、司家营南部、马城等重磁异常完全重合的地区,2种数据处理方法的处理结果都表明为重磁正相关地区;在新集以东、小马庄西南部、石门东北部等重磁异常不完全重合或根本没有重磁局部异常的地区,传统重磁对应分析数据处理方法的处理结果也显示为正相关地区,自适应重磁对应分析数据处理方法的处理结果没有相关数据点或异常。     

Geochemical characteristics and metallogenesis of Carlin-type gold deposits in the Sandu-Danzhai metallogenic zone, Guizhou Province, China

Geochemical studies of the Paiting and Miaolong Carlin-type gold deposits in the Sandu-Danzhai metal-logenic zone,Guizhou Province,have shown that the mineralized-altered rocks show LREE-enrichment patterns,generally displaying negative Eu anomalies(δEu=0.51?0.97) and unobvious negative Ce anomalies(δCe=0.86?0.99).Calcite and fluorite in relation with metallogenesis show MREE-enrichment patterns,generally displaying rather weak negative Eu anomalies(δEu=0.74?0.93) and weak negative Ce(δCe=0.70?0.98) anomalies.The δ13CPDB values of carbon in calcite are-1.61‰?-5.82‰,the δ18OSMOW values of oxygen are 13.97‰?19.24‰,and the δ34SCDT values of sulfur in stibnite are 17.72‰?21.68‰.In regard to δD and δ18O,ore-forming fluids pos-sess the characteristics of metamorphic water.The process of metallogenesis of the Carlin-type gold deposits is con-trolled by the Yanshanian tectonic activities.The Yanshanian movement promoted the migration and mobilization of metamorphic fluids in the extensively developed medium-to high-grade metamorphic rocks in this region,carrying primarily enriched gold and associated elements such as Hg,As,and Sb in the Sinian metamorphosed black shales and Lower Cambrian black shales.The ore-forming fluids found their way into a suitable metallogenic environment along the fault zone,followed by gold precipitation to form gold deposits.     

An ERDAS image processing method for retrieving LST and describing urban heat evolution: a case study in the Pearl River Delta Region in South China

A spatial-temporal model with Model Maker tool is designed to retrieve Land Surface Temperature (LST) and to describe the changes of urban heat island, as well as urban development. Spectral Radiance, Brightness Temperature, NDVI, and Emissivity are first calculated from TM and ETM+, which are then used to compute LST by using Qin et al.’s mono-window algorithm. The LST is classified based on normalized statistical method, and the normalized heat images are computed between different times. Therefore, the urban heat changes can be shown in the map clearly and directly through an urban heat conversion matrix. Such a model has been applied in this study to obtain the urban heat conversion matrix of South China from 1990 to 2000. The results indicate that the LST increased areas mainly locate along the major roads in the eastern bank of the Pearl River, which is a result of speedy urban expansion and need to be noticed in the future.     

区域地壳水平运动模型的Euler-GABP神经网络构建

针对传统的欧拉(Euler)矢量法在具有复杂构造运动的区域地区内构建GPS速度场模型精度低的问题,该文提出了欧拉矢量法结合遗传算法(GA)和BP神经网络方法来构建区域GPS速度场。以云南区域1999—2015年间的GPS速度场为实验数据,分别使用欧拉矢量法、遗传神经网络(GABP)、欧拉矢量结合神经网络(Euler-BP)和欧拉矢量的遗传神经网络(Euler-GABP)法构建区域速度场模型。实验结果表明,相比其他3种方法,该文提出的Euler-GABP方法在构建区域GPS速度场模型是可行和有效的且精度高。     

Resettlement and Climate Impact: addressing migration intention of resettled people in west China

ABSTRACT

The relationship between climate change and human displacement is an important topic of global concern. China is a special case due to a high level of government control enforcing the ecological migration of millions of people since the mid-1980s. Little research has addressed how resettled people adapt to climate impacts in ecologically vulnerable resettlement areas and what factors influence their intentions to relocate again or adapt locally. Employing a social-ecological system approach, this study builds a conceptual econometric framework which differentiates two steps that drive migration intention at the household level. The study uses this approach to examine the role of both contextual and household factors in motivating the migration intentions of resettled people in the largest environmental resettlement area of Ningxia Hui Autonomous Region, China, where household survey data were collected in 2012. This framework enabled an analysis, first, of how local contextual factors and household factors shape the severity of climate impacts on households and, second, how these factors interact with the experience of climate impacts to further influence a household’s migration intention as a response to climate impacts. The results show that some contextual factors (such as limited use of water-saving techniques, little practice of cultivating aridity-resistant crops, and lack of government support), strong local social networks and being in receipt of low rates of financial remittances have significant associations with adverse climate impacts experienced by resettled households, and also with their anticipated further relocation to respond to these impacts.     

DIETARY PHOSPHORUS REQUIREMENT OF YOUNG ABALONE, HALIOTIS DISCUS HANNAI INO

An experiment was performed to determine the dietary phosphorus requirement of the young abalone,Haliotis discus hannai. Five semi-purified diets were formulated to provide a series of graded levels of dietary total phosphorus (0.23%–1.98) from monobasic potassium phosphate (KH2P04). The brown alga,Laminaria japonica, was used as a control diet. Similar size abalone were distributed in a single-pass, flow-through system using a completely randomized design with six treatments and three replicates each treatment. The abalone were hand-fed to satiation with appropriate diets in excess, once daily at 17:00. The feeding trial was run for 120-d. Survival rate and soft-body to shell ratio (SB/S) were constantly maintained regardless of dietary treatment. However, the weight gain rate (WGR), daily increment in shell length (DISL), muscle RNA to DNA ratio (RNA/DNA), carcass levels of lipid and protein, soft-body alkaline phosphatase (SBAKP), and phosphorus concentrations of whole body (WB) and soft body (SB) were significantly (ANOVA, P<0.05) affected by the dietary phosphorus level. The dietary phosphorus requirements of the abalone were evaluated from the WGR, DISL, and RNA/DNA ratio respectively, by using second-order polynomial regression analysis. Based on these criteria, about 1.0%–1.2% total dietary phosphorus, i.e. 0.9%–1.1% dietary available phosphorus is recommended for the maximum growth of the abalone. Project 39670572 supported by the NSFC.     

Analysis on the key findings related to emission trends and drivers from the IPCC AR6 report北大核心CSCD

Emission Trends and Drivers chapter, an important basis for international climate negotiations, is one of the core contents of each assessment report. The trends and driving factors of greenhouse gas emissions from 1990 to 2019 are discussed in this chapter in the Sixth Assessment Report (AR6) released in April 2022. Compared with the content in the Fifth Assessment Report (AR5), in terms of historical emission trends, AR6 focuses on the changes from 2010 to 2019, highlights the importance of the 1.5°C temperature control target, pays more attention to carbon dioxide (CO2) emissions and non-carbon dioxide greenhouse gas emissions related to land use change, and further emphasizes the carbon emission trend and its regional evolution trend from the perspective of production and consumption. Besides, the short-term impact of COVID-19 on global carbon emissions is explored. In terms of driving factors, besides analyzing the global and regional economic driving factors, the economic driving factors and differences in energy, industry, construction, transportation, agriculture, forestry and other land use (AFOLU) sectors are also studied, which systematically reflects the similarities and differences of driving factors at the global, regional and departmental levels. The results affirm the positive impact of existing climate policies on climate mitigation highlight the benefits of technological change and innovation on climate mitigation, and identify the adverse impact of carbon locking of fossil energy infrastructure. Finally, based on the full analysis of the key conclusions in AR6, some suggestions on China's low-carbon development are given. © 2022 Chinese Journal of Digestive Endoscopy All rights reserved.     

Carbon isotope ratios of C4 plants in loess areas of North China

Carbon isotope ratios (δ ¹³C) of 89 C₄ plant samples were determined from the loess area in North China. δ ¹³C values vary between −10.5‰ and −14.6‰ with a mean of −12.6‰. Along a precipitation gradient from the semi-moist area to the semiarid area, then to the arid area, the δ ¹³C values of C₄ plants show a slight decreasing trend. The δ ¹³C values of C₄ plants in the dry season are found lower than those in the wet season. These trends are opposite to those observed for C₃ species.