东营市湿地资源分布及地质环境脆弱性评价

通过遥感解译、水土样测试、环境地质调查,从地表水、坑塘水、平原水库、浅层地下水、土壤环境的质量评价入手,查明了东营市湿地的分布现状,分析湿地演变与地质环境条件之间的相关性,构建东营湿地地质环境脆弱性评价体系并进行了脆弱性评价,为促进湿地生态系统与区域地质环境协调发展提供科学依据。     

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南京市江宁区关闭矿山地质环境治理探讨

根据近年来勘查矿山环境现状和整理分析矿山环境信息,指出了南京市江宁区关闭矿山地质环境问题,提出了治理工作指导思想,分析了江宁区关闭矿山治理情况。为了“又好又快”实施矿山环境治理,探索了关闭矿山环境治理策略,对今后该地区矿山环境治理提供指导意义。     

面向山地徒步应急救援路径规划的改进蚁群算法研究

当消防事故发生在无明显道路或道路稀疏的野外复杂山区时,如何在复杂山地环境中规划安全、快速通过的路线至关重要。针对蚁群算法在复杂山地路径规划中容易陷入局部最优以及搜索时间较长的问题,本文提出一种适用于细粒度野外山地环境的徒步应急救援路径规划算法。本文首先根据已有文献分析地表信息与人类运动速度之间的关系,综合地表灌木盖度与地形坡度因素设计寻优算法的目标函数和启发函数;接着采用定向范围视野的蚂蚁搜索方式,决定蚁群算法寻优过程中每一步的网格选择;最后采用拉普拉斯分布调整初始信息素、添加隔离信息素、融合遗传算子与分组更新常规信息素的方法改进蚁群算法。将算法应用到400×400、1000×1000、5000×5000、10 000×10 000网格数的野外山地环境进行实验对比,实验结果表明,采用定向范围视野与优化启发函数的各蚁群算法在四组实验中均能得到可行路径,验证了方法的有效性;本文算法求解的路径质量优于另外三种算法,在四组实验中分别提高了0.52%～4.95%、4.71%～5.39%、2.26%～13.11%、3.84%～9.16%;此外,在野外三维山地环境中,定向范围视野的搜索方式缩减了搜索...     

基于GIS的资源环境承载力评价与空间布局优化—以荣成市为例

随着工业化、城镇化、农业现代化和信息化的进程加快,我国面临的资源环境承载规模将进一步扩大,经济社会活动强度也将更高,人口、资源、环境之间的矛盾与冲突将不可避免地日趋激烈,因此开展资源环境承载力评估研究十分必要。以荣成市为研究对象,建立了资源环境承载力评价指标体系,基于GIS技术实现了属性数据的空间化,完成了各项指数的计算,分析了荣成市资源环境承载力状况。在资源环境承载力评价的基础上,分乡镇对荣成市土地空间布局进行优化,并形成综合分区引导。研究结论显示,荣成市资源环境基础性评价为可载,基于水资源系统的综合承载状态判定为临界,基于生态条件与环境质量系统的综合承载状态判定为可载。基于评价结果结合区位特点,荣成市各乡镇可按新兴产业、制造业、服务业,生态旅游业,生态农业,生态林业4个方向引导开发。     

地下污水管道泄漏对环境影响研究进展

地下污水管道的泄漏普遍存在.污水管道一旦泄漏,将会对土壤、地下水环境产生严重的影响.主要阐述了管道泄露的研究现状以及地下水入渗对地下水管的危害;总结了地下水管网泄露的种种原因;分析了污水管道泄露对地下环境的各种影响,主要表现为:改变土壤的理化性质,引起土壤污染,造成土壤富营养化,进而导致地下水污染,减少淡水资源,引起水土流失.     

Aeronomy of extra-solar giant planets at small orbital distances

One-dimensional aeronomical calculations of the atmospheric structure of extra-solar giant planets in orbits with semi-major axes from 0.01 to 0.1 AU show that the thermospheres are heated to over 10,000 K by the EUV flux from the central star. The high temperatures cause the atmosphere to escape rapidly, implying that the upper thermosphere is cooled primarily by adiabatic expansion. The lower thermosphere is cooled primarily by radiative emissions from H⁺₃, created by photoionization of H₂ and subsequent ion chemistry. Thermal decomposition of H₂ causes an abrupt change in the composition, from molecular to atomic, near the base of the thermosphere. The composition of the upper thermosphere is determined by the balance between photoionization, advection, and H⁺ recombination. Molecular diffusion and thermal conduction are of minor importance, in part because of large atmospheric scale heights. The energy-limited atmospheric escape rate is approximately proportional to the stellar EUV flux. Although escape rates are large, the atmospheres are stable over time scales of billions of years.     

Atmospheric densities derived from CHAMP/STAR accelerometer observations

The satellite CHAMP carries the accelerometer STAR in its payload and thanks to the GPS and SLR tracking systems accurate orbit positions can be computed. Total atmospheric density values can be retrieved from the STAR measurements, with an absolute uncertainty of 10-15%, under the condition that an accurate radiative force model, satellite macro-model, and STAR instrumental calibration parameters are applied, and that the upper-atmosphere winds are less than . The STAR calibration parameters (i.e. a bias and a scale factor) of the tangential acceleration were accurately determined using an iterative method, which required the estimation of the gravity field coefficients in several iterations, the first result of which was the EIGEN-1S (Geophys. Res. Lett. 29 (14) (2002) 10.1029) gravity field solution. The procedure to derive atmospheric density values is as follows: (1) a reduced-dynamic CHAMP orbit is computed, the positions of which are used as pseudo-observations, for reference purposes; (2) a dynamic CHAMP orbit is fitted to the pseudo-observations using calibrated STAR measurements, which are saved in a data file containing all necessary information to derive density values; (3) the data file is used to compute density values at each orbit integration step, for which accurate terrestrial coordinates are available. This procedure was applied to 415 days of data over a total period of 21 months, yielding 1.2 million useful observations. The model predictions of DTM-2000 (EGS XXV General Assembly, Nice, France), DTM-94 (J. Geod. 72 (1998) 161) and MSIS-86 (J. Geophys. Res. 92 (1987) 4649) were evaluated by analysing the density ratios (i.e. “observed” to “computed” ratio) globally, and as functions of solar activity, geographical position and season. The global mean of the density ratios showed that the models underestimate density by 10-20%, with an rms of 16-20%. The binning as a function of local time revealed that the diurnal and semi-diurnal components are too strong in the DTM models, while all three models model the latitudinal gradient inaccurately. Using DTM-2000 as a priori, certain model coefficients were re-estimated using the STAR-derived densities, yielding the DTM-STAR test model. The mean and rms of the global density ratios of this preliminary model are 1.00 and 15%, respectively, while the tidal and latitudinal modelling errors become small. This test model is only representative of high solar activity conditions, while the seasonal effect is probably not estimated accurately due to correlation with the solar activity effect. At least one more year of data is required to separate the seasonal effect from the solar activity effect, and data taken under low solar activity conditions must also be assimilated to construct a model representative under all circumstances.     

Impact of water environmental characteristics in Dry-Hot valley of Jinsha river on soil desertification

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漓江流域水环境综合治理对策

文章概述了漓江流域水环境现状,分析了存在的主要问题,阐明了流域水灾频繁、水环境污染的成因,指出了流域森林结构欠合理,调蓄能力不足,导致了流域洪涝、干旱频繁,枯水期长,水资源短缺;流域生活与生产排污,造成枯水期水污染。因而需进行深入的科学研究、绿化、兴修水利工程、实施节水技术、严格管理、科学调配水资源等综合举措,实现流域的可持续发展。