三维地质建模及可视化在危机矿山找矿中的应用研究——以沂南金矿为例

随着21世纪工业的快速发展,人们对矿产资源的需求日益扩大,然而我国一大批矿山却面临着严重的资源危机,解决危机矿山的根本是加大矿山周边和矿山深部的找矿工作。同时,随着地学研究和勘查工作的不断深入,积累了海量的地学数据,矿产勘查己进入信息找矿的新时代。矿山三维地质建模与可视化技术研究,是"数字矿山"的核心组成部分,是现代矿山信息化研究的热点和重点。本文从三维地质建模的概念出发,探讨了基于钻孔数据的矿山三维地质建模及可视化的一般过程,包括地质数据库的建立,实体模型、品位块体模型的创建等,通过在沂南金矿成矿预测研究中的具体应用,探讨了三维地质建模及可视化应用于危机矿山成矿地质条件分析及大比例尺成矿预测中的过程和方法,为矿区成矿规律的研究和危机矿山的成矿预测提供了有效的技术手段,大大地提高矿产勘查的效率,促进了我国矿山信息化的建设。     

水环境承载力方法研究

文章给出水环境承载力概念,以及对现有的水环境承载力研究方法进行分析,提出基于水量水质相关法的水环境承载力计算模型,并对其进行实证研究。结果表明,将水量水质相关法应用于水环境承载力的研究,具有建模方便、直观简单的特点,为水环境承载力研究提供了一种新途径。     

基于水热因子波动的呼伦贝尔草原产草量模型

基于多年气象资料(温度和降水量)和产草量监测数据,采用相关分析、主成分分析和回归分析等方法,构建呼伦贝尔草原产草量与气象因子统计学模型,并对二者之间的关系进行了分析.结果表明:利用水热波动因子建立的多项式回归模型具有较好的拟合效果,所建立的呼伦贝尔草原产草量预测模型为y=100.209+1.6410x-0.00559x2.F值显著性检验表明,其复相关系数R2=0.4713,F=8.0239(P=0.0033),在α=0.01水平上显著.利用1989─2009年呼伦贝尔草原产草量数据进行模型精度检验,模型预测精度在85%以上.该预测模型具有选用参数易得、易于代入遥感数据中进行栅格计算、精度高于基于植被指数预测模型等特点.     

Simulated dynamics of carbon stocks driven by changes in land use, management and climate in a tropical moist ecosystem of Ghana

Sub-Saharan Africa is large and diverse with regions of food insecurity and high vulnerability to climate change. This project quantifies carbon stocks and fluxes in the humid forest zone of Ghana, as a part of an assessment in West Africa. The General Ensemble biogeochemical Modeling System (GEMS) was used to simulate the responses of natural and managed systems to projected scenarios of changes in climate, land use and cover, and nitrogen fertilization in the Assin district of Ghana. Model inputs included historical land use and cover data, historical climate records and projected climate changes, and national management inventories. Our results show that deforestation for crop production led to a loss of soil organic carbon (SOC) by 33% from 1900 to 2000. The results also show that the trend of carbon emissions from cropland in the 20th century will continue through the 21st century and will be increased under the projected warming and drying scenarios. Nitrogen (N) fertilization in agricultural systems could offset SOC loss by 6% with 30 kg N ha⁻¹ year⁻¹ and by 11% with 60 kg N ha⁻¹ year⁻¹. To increase N fertilizer input would be one of the vital adaptive measures to ensure food security and maintain agricultural sustainability through the 21st century.     

侧流化学磷回收强化生物除磷的模拟预测与试验验证

为了强化污水中生物除磷作用,本研究通过模拟预测与实验室试验验证了厌氧上清液侧流化学磷沉淀与回收对强化生物除磷的促进作用.模拟预测与试验结果表明,在进水COD/P=37.5工况下,当侧流比增加至30%时,通过化学磷沉淀（调节pH＞9.0）可使出水中TP浓度从碳源抑制时的＜6.0 mg·L-1（以P计）下降至≤1.0 mg·L-1（以P计）,同时可回收进水中P负荷的64%.经验证与校正后的TUD数学模型模拟预测有着与试验结果近乎一致的效果.因此,数学模拟技术完全有可能取代中间试验过程而直接将小试结果放大至工程应用.     

雷达电磁环境的联合建模与仿真

随着雷达灵敏度、精度的提高,对电磁环境的依赖性也越来越大.首先分析了美军的联合建模与仿真系统(JMASS),指出建立一个综合的、可重用的雷达电磁仿真环境是电子战仿真的关键;重点研究了基于球不变随机过程(SIRP)的K分布杂波模型,以及地面/海面的多路径效应模型;最后建立了雷达电磁环境的模型并进行了仿真.     

Seismic fragility analysis of a coupled tank-piping system based on artificial ground motions and surrogate modeling

The catastrophic consequences of recent NaTech events triggered by earthquakes highlighted the inadequacy of standard approaches to seismic risk assessment of chemical process plants. To date, the risk assessment of such facilities mainly relies on historical data and focuses on uncoupled process components. As a consequence, the dynamic interaction between process equipment is neglected. In response to this gap, researchers started a progressive integration of the Pacific Earthquake Engineering Research Center (PEER) Performance-Based Earthquake Engineering (PBEE) risk assessment framework. However, a few limitations still prevent a systematic implementation of this framework to chemical process plants. The most significant are: (i) the computational cost of system-level simulations accounting for coupling between process equipment; (ii) the experimental cost for component-level model validation; (iii) a reduced number of hazard-consistent site-specific ground motion records for time history analyses.In response to these challenges, this paper proposes a recently developed uncertainty quantification-based framework to perform seismic fragility assessments of chemical process plants. The framework employs three key elements: (i) a stochastic ground-motion model to supplement scarcity of real records; (ii) surrogate modeling to reduce the computational cost of system-level simulations; (iii) a component-level model validation based on cost-effective hybrid simulation tests. In order to demonstrate the potential of the framework, two fragility functions are computed for a pipe elbow of a coupled tank-piping system.     

Modeling Flow,Nutrient, and Sediment Delivery from a Large International Watershed Using a Field‐Scale SWAT Model

A large international watershed, the St. Clair‐Detroit River System, containing both extensive urban and agricultural areas, was modeled using the Soil and Water Assessment Tool (SWAT) model. The watershed, located in southeastern Michigan, United States, and southwestern Ontario, Canada, encompasses the St. Clair, Clinton, Detroit (DT), Sydenham (SY), Upper, and Lower Thames subwatersheds. The SWAT input data and model resolution (i.e., hydrologic response units, HRUs), were established to mimic farm boundaries, the first time this has been done for a watershed of this size. The model was calibrated (2007–2015) and validated (2001–2006) with a mix of manual and automatic methods at six locations for flow and water quality at various time scales. The model was evaluated using Nash–Sutcliffe efficiency and percent bias and was used to explore major water quality issues. We showed the importance of allowing key parameters to vary among subwatersheds to improve goodness of fit, and the resulting parameters were consistent with subwatershed characteristics. Agricultural sources in the Thames and SY subwatersheds and point sources from DT subwatershed were major contributors of phosphorus. Spatial distribution of phosphorus yields at HRU and subbasin levels identified locations for potential management targeting for both point and nonpoint sources and revealed that in some subwatersheds nonpoint sources are dominated by urban sources.     

Yield and Water Productivity of Winter Wheat under Various Irrigation Capacities

The Agricultural Production Systems sIMulator model validated in a prior study for winter wheat was used to simulate yield, aboveground crop biomass (BM), transpiration (T), and evapotranspiration under four irrigation capacities (ICs) (0, 1.7, 2.5, and 5 mm/day) with two nitrogen (N) application rates (N1, 94 kg N/ha; N2, 160 kg N/ha) to (1) understand the performance of winter wheat under different ICs and (2) develop crop water production function under various ICs and N rates. Evaluation was based on yield, aboveground crop BM, transpiration productivity (TP), crop water productivity (WP), and irrigation WP (IWP). Simulation results showed winter wheat yield increased with increase in N application rate and IC. However, the rate of yield increase gradually reduced with additional irrigation beyond 2.5 mm/day. A 5 mm/day IC required a total of 190 mm irrigation and produced a 5%–16% yield advantage over 2.5 mm/day. This indicates it is possible to reduce groundwater use for wheat by 50% incurring only 5%–16% yield loss relative to 5 mm/day. The TP and IWP for grain were slightly higher under IC of 1.7 mm/day (15.2–16.1 kg/ha/mm and 0.98–1.6 kg/m³) when compared to 5 mm/day (14.7–15.5 kg/ha/mm and 0.6–1.06 kg/m³), respectively. Since TP and IWPs are relatively higher under lower ICs, winter wheat could be a suitable crop under lower ICs in the region. Relationship between yield–T and yield–ET was linear with a slope of 15–16 and 9.5–10 kg/ha/mm, respectively. Editor's note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

Evaluation of SWAT Impoundment Modeling Methods in Water and Sediment Simulations

Worldwide studies show 80%–90% of all sediments eroded from watersheds is trapped within river networks such as reservoirs, ponds, and wetlands. To represent the impact of impoundments on sediment routing in watershed modeling, Soil and Water Assessment Tool (SWAT) developers recommend to model reservoirs, ponds, and wetlands using impoundment tools (ITs). This study evaluates performance of SWAT ITs in the modeling of a small, agricultural watershed dominated by lakes and wetlands. The study demonstrates how to incorporate impoundments into the SWAT model, and discusses and evaluates involved parameters. The study then recommends an appropriate calibration sequence, i.e., landscape parameters calibration, followed by pond/wetlands calibration, then channel parameter calibrations, and lastly, reservoir parameter calibration. Results of this study demonstrate not following SWAT recommendation regarding modeling water land use as an impoundment depreciates SWAT performance, and may lead to misplaced calibration efforts and model over‐calibration. Further, the chosen method to model impoundments’ outflow significantly impacts sediment loads in the watershed, while streamflow simulation is not very sensitive. This study also allowed calculation of mass accumulation rates in modeled impoundments where the annual mass accumulation rate in wetlands (2.3 T/ha/yr) was 39% higher than mass accumulation rate in reservoirs (1.4 T/ha/yr).