我国现代人地关系与资源环境基础

在经过了４０ 多年大规模建设,中国工业化发展面临着来自有限资源环境越来越大的压力。从协调人地关系紧张矛盾的角度出发,中国未来经济的发展不仅需要增加资金和科技投入,而且也需要提高资源投入的质量。欲达此目的,扩大资源的国际贸易,特别是石油、天然气的进口就变得十分重要     

RESERVOIR SEDIMENTATION AS A FUNCTION OF PRECIPITATION VARIABILITY1

ABSTRACT: This research examines what is hypothesized as a critical factor in reservoir sedimentation - precipitation variability. The coefficient of variation for annual precipitation, computed for the period relating to sedimentation, is regressed against sediment yields for several reservoirs over a wide range of environmental settings. A significant linear relationship results, and when precipitation variability is combined with several additional variables available from reservoir summary sheets, almost 83% of the total variation in sediment yield is accounted for. It is suggested that the coefficient of variation for annual precipitation fulfills a direct process role when modeling reservoir sedimentation much more effectively than annual precipitation or runoff.     

咪唑类离子液体捕集CO_2性能的定量结构-性质相关性(QSPR)研究

CO_2是主要的温室气体,大量CO_2的存在严重影响着人类的生存环境和生态平衡,而咪唑型离子液体具有独特的气体溶解性,在CO_2的捕集分离中有很好的应用前景。基于定量结构-性质相关性(QSPR)原理,研究了咪唑类离子液体捕集CO_2的性能与其结构参数之间的内在定量关系。应用遗传算法获得与捕集量最为密切相关的一组描述符作为输入参数,随后,分别采用多元线性回归算法及支持向量机结合粒子群优化算法建立了咪唑类离子液体捕集CO_2的性能与其描述符之间的线性和非线性模型。多元线性回归算法得出训练集和测试集的复相关系数分别为0.765和0.814,支持向量机算法得出训练集和测试集的复相关系数分别为0.987和0.933。对预测模型进行了评价验证以及稳定性分析,结果表明,2种模型具有良好的稳定性能和预测能力。     

港口生态环境影响及生态补偿关系分析研究

港口的建设与经营对港口周边的陆域和海域生态环境产生影响.在总结了港口存在的各种主要环境影响基础上,从可控性与不可控性、可变性与不可变性、持续性与突发性、排他性与非排他性、直接性与间接性 五个角度对港口环境影响的特征进行了归纳对比.进一步建立了港口生态环境影响的补偿关系体系,明确了补偿关系中的补偿主体,补偿对象和补偿内容以及相互对应关系.结合港口对生态环境的影响特征,对生态补偿的频率和标准提出了实施建议.     

A relict habitat became an isolated habitat in the Luoshan Nature Reserve from 1977 to 2017: Natural or man‐made disaster?

Understanding the ecological trends of the relict habitats in the Luoshan Nature Reserve (LNR) has an important role in the persistence of endangered species and the socio‐economic sustainability in the Ningxia section of the arid desertification belt in North China. Based on data from the Landsat Multispectral Scanner (MSS)/Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM+)/Operational Land Imager (OLI) sensors (from 1977 to 2017), the MODIS normalized difference vegetation index (NDVI) and net primary productivity (NPP) (from 2000 to 2017), the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), annual average air temperature and precipitation (from 1977 to 2017), typical anthropogenic factors (population size, cultivated land and residential area) and natural ecological elements (MSS/TM/ETM+/OLI/MODIS NDVI and NPP) were quantitatively contrasted and analyzed for potential correlations. Some indicators of human activities, ecological processes and landscape geography have changed in the LNR. The proportion of residential area increased 3.09‐fold from 1977 to 2017. The population increased 34.30‐fold due to ecological immigration policy implementation in the Hongsipu immigration district. Before immigration, cultivated land increased, but after immigration, this land decreased quickly. Most of the dry‐cultivated land was converted through afforestation and a small part of the land was converted to irrigate cultivation land. We conclude that natural evolution led to the ecological relics, the isolated management to the LNR has objectively created an ecological island that will accelerate inbreeding depression and reduce biodiversity.     

水样不同处理方式对高锰酸盐指数测定值的影响

研究了水样不同处理方式对三峡水库干流江段高锰酸盐指数（CODMn）测定值的影响。结果表明,悬浮颗粒物浓度（〖WTBX〗SS〖WTBZ〗）是澄清样和浑样之间、清样和浑样之间、清样和澄清样之间高锰酸盐指数差别的主要影响因子;用非线形回归方法得出了水样不同处理方式下高锰酸盐指数间的经验关系,并用实测数据进行了验证,结果表明,计算值和实测值吻合良好。依据〖WTBX〗SS〖WTBZ〗和所得经验关系,可计算高锰酸盐指数所表征有机物(CODMn)即OS(CODMn)）作为一个整体在水－固两相之间的分配,及其在粗颗粒物和细颗粒物上的赋存比例。河床上覆水体中溶解态、颗粒态OS(CODMn)所占比例皆随〖WTBX〗SS〖WTBZ〗而发生显著变化。〖WTBX〗SS〖WTBZ〗大于1 000 mg/L时,80％以上的OS(CODMn)赋存于悬浮颗粒物,澄清30 min能去除60％以上的OS(CODMn)。     

Small sample estimation for Taylor's power law

An analysis of counts of sample size N=2 arising from a survey of the grass Bromus commutatus identified several factors which might seriously affect the estimation of parameters of Taylor's power law for such small sample sizes. The small sample estimation of Taylor's power law was studied by simulation. For each of five small sample sizes, N=2, 3, 5, 15 and 30, samples were simulated from populations for which the underlying known relationship between variance and mean was given by ² = c^d. One thousand samples generated from the negative binomial distribution were simulated for each of the six combinations of c=1,2 and 11, and d=1, 2, at each of four mean densities, =0.5, 1, 10 and 100, giving 4000 samples for each combination. Estimates of Taylor's power law parameters were obtained for each combination by regressing log₁₀ s ² on log₁₀ m, where s ² and m are the sample variance and mean, respectively. Bias in the parameter estimates, b and log₁₀ a, reduced as N increased and increased with c for both values of d and these relationships were described well by quadratic response surfaces. The factors which affect small-sample estimation are: (i) exclusion of samples for which m = s ² = 0; (ii) exclusion of samples for which s ² = 0, but m > 0; (iii) correlation between log₁₀ s ² and log₁₀ m; (iv) restriction on the maximum variance expressible in a sample; (v) restriction on the minimum variance expressible in a sample; (vi) underestimation of log₁₀ s ² for skew distributions; and (vii) the limited set of possible values of m and s ². These factors and their effect on the parameter estimates are discussed in relation to the simulated samples. The effects of maximum variance restriction and underestimation of log₁₀ s ² were found to be the most severe. We conclude that Taylor's power law should be used with caution if the majority of samples from which s ² and m are calculated have size, N, less than 15. An example is given of the estimated effect of bias when Taylor's power law is used to derive an efficient sampling scheme.     

浙江省洪水成因初探

根据大量洪水和有关资料,从太阳活动、行星运行和地球系统等方面,分析了形成浙江洪水的物理因素,为洪水预测提供了一定的理论依据．     

酚类化合物的QSAR研究

直接应用化合物的分子结构式产生的结构描述参量研究了45个酚类化合物的麻醉毒性和分子结构之间的相关性,用多元回归分析和神经网络法建立了相应的数学模型,并用其预测了5个酚类化合物的麻醉毒性.结果表明,所提取的结构参量较好地反映这类化合物的结构特性,而用神经网络法所得结果优于多元回归分析结果.     

Novel quantitative structure activity relationship models for predicting hexadecane/air partition coefficients of organic compounds

Predicting the logarithm of hexadecane/air partition coefficient (L) for organic compounds is crucial for understanding the environmental behavior and fate of organic compounds and developing prediction models with polyparameter linear free energy relationships. Herein, two quantitative structure activity relationship (QSAR) models were developed with 1272 L values for the organic compounds by using multiple linear regression (MLR) and support vector machine (SVM) algorithms. On the basis of the OECD principles, the goodness of fit, robustness and predictive ability for the developed models were evaluated. The SVM model was first developed, and the predictive capability for the SVM model is slightly better than that for the MLR model. The applicability domain (AD) of these two models has been extended to include more kinds of emerging pollutants, i.e., oraganosilicon compounds. The developed QSAR models can be used for predicting L values of various organic compounds. The van der Waals interactions between the organic compound and the hexadecane have a significant effect on the L value of the compound. These in silico models developed in current study can provide an alternative to experimental method for high-throughput obtaining L values of organic compounds.