天水市干旱气候变化特征及粮食作物结构调整

分析了天水市1960-2005年干旱气候特征,包括温度、降水等气候因子及土壤水分、干旱频次等变化特点。结果表明,20世纪90年代为近46 a来降水的最低值,进入21世纪后,降水变率明显增大。气温自20世纪60年代总体呈上升趋势,特别是90年代以来上升趋势明显,土壤蒸散发加大。20世纪90年代土壤含水量最少,水分亏缺最为严重,春旱、初夏旱、伏旱出现几率最多。根据46 a来干旱气候变化特点及其对主要粮食作物生长的影响,引进影响系数,对主要夏、秋粮作物种植风险程度进行评估,并运用线性风险决策模式, 提出适应干旱气候特点的当地主要粮食作物种植比例调整方案。     

城市地下管线点测量中存在质量问题的分析

通过近年来从事地下管线探测工作中,发现、总结管线点测量存在的质量问题以及所呈现出的规律性,结合测绘新技术、分析影响管线点测量质量的一些因素,从而使测绘生产单位进一步了解测绘产品生产过程中容易出现的质量问题,便于采取积极、有效的预防措施,使测绘产品质量进一步得到提高,做到对单位负责,对使用产品的用户负责。     

攀钢,攀矿场地边坡地震稳定性研究

本文在总结分析攀钢、攀矿昔格达层滑坡基本特征的基础上,对区内滑坡进行了地震稳定性计算,给出了经不同方法治理后的滑坡的地震稳定系数;同时采用“因子迭加”方法对究研区进行边坡稳定性区划,划分出相对的稳定区、欠稳定区和不稳定区,为抗震减灾和土地的开发利用提供了科学依据。     

日本琵琶湖表面定振波的计算

利用水动力学方程对口本琵琶湖表面定振波进行了计算和分析,结果表明其主要周期约为69．5min,另外,利用实测水位资料,采用最大熵谱法进行分析,得到了主要周期约为68min,两者吻合很好。     

太湖和大浦河口风成流、风涌水的数值模拟及其单站验证

介绍了太湖风成流和风涌水的数值摸拟工作。使用两种不同水平分辨率的数值模式,利用中日合作研究组在大浦河口实测的水位、湖流和风的资料对模拟结果进行了验证。结果指出,模式对风涌水及流向有较好的预报能力,流速的预报尚待进一步改进。     

中国湖泊学研究进展

本文从六个方面概述了中国湖泊资源利用与湖泊学研究进展:1.湖泊考察与综合调查;2.物理湖泊学研究;3.湖泊沉积与古湖泊学研究;4.水生生物与生态学研究;5.湖泊水化学与环境保护研究;6.湖泊资源开发利用研究.     

Compositional characteristics of <Emphasis Type="Italic">n</Emphasis>-alkanes of the glaciers over the Tibetan Plateau and their environmental and climatic significances

We report on the concentration and compositional features of n-alkanes of natural and anthropogenic origins in the snow samples collected from the Qiyi glacier in the Qilian Mountains, the Yuzhufeng glacier in eastern Kunlun Mountains, the Xiaodongkemadi glacier in the Tanggula Mountains, and the Gurenhekou glacier in the Nyainqêntanglha Range. The results indicate a decrease in the total n-alkane concentration (T-HCs) from the northeast to the south over the Tibetan Plateau. The T-HCs in these studied areas were close to those in the Belukha and Sofiyskiy glacier, Russian Alati Mountains and the Dasuopu glacier in the Himalaya but were much higher than those in the Greenland ice sheet, suggesting that the mountain glaciers in the Asian continent may receive a higher loading of n-alkanes than the Greenland ice core. Moreover, the compositional characteristics of n-alkanes indicated that the n-alkanes in the studied areas were probably originated from the plant waxes as well as the fossil-fuel combustion exhaust, whereas the contribution from the lower organisms was small. In addition, the plant wax (C_n(wax)) and anthropogenic (non-C_n(wax)) contributions revealed that fast industrialization may have significant effects on the organic pollutant composition in glacier over the Tibetan Plateau and its circumference environment. Particularly, except for the Yuzhufeng glacier, the ΣnC₂₁ ⁻/ΣnC₂₂ ⁺ and (nC₁₅+nC₁₇+nC₁₉)/(nC₂₇+nC₂₉+nC₃₁) ratio decreased from the Qiyi glacier to the Gurenhekou glacier over the Tibetan Plateau, while the carbon preference index (CPI) values increased. These results indicate a decrease in terrigenous input while an increase in marine input from the northeast to the south over the Tibetan Plateau. These two ratios can be used as the climatic and environmental change indicators.     

Multi-models for SPI drought forecasting in the north of Haihe River Basin,China

Drought is one of the most devastating climate disasters. Hence, drought forecasting plays an important role in mitigating some of the adverse effects of drought. Data-driven models are widely used for drought forecasting such as ARIMA model, artificial neural network (ANN) model, wavelet neural network (WANN) model, support vector regression model, grey model and so on. Three data-driven models (ARIMA model; ANN model; WANN model) are used in this study for drought forecasting based on standard precipitation index of two time scales (SPI; SPI-6 and SPI-12). The optimal data-driven model and time scale of SPI are then selected for effective drought forecasting in the North of Haihe River Basin. The effectiveness of the three data-models is compared by Kolmogorov–Smirnov (K–S) test, Kendall rank correlation, and the correlation coefficients (R²). The forecast results shows that the WANN model is more suitable and effective for forecasting SPI-6 and SPI-12 values in the north of Haihe River Basin.     

证据权模型与含矿网格单元蒙特卡洛法相结合的资源潜力评价新方法

本文提出了计算含矿单元数概率分布函数的新方法,在此基础上,把证据权模型矿产资源评价方法得到的含矿网格单元作为蒙特卡洛模型中的统计对象,得到了与证据权模型找矿法结合的含矿网格单元蒙特卡洛法矿产资源潜力评价方法。该方法可以把评价工作区的矿产空间分布信息、成矿模式和找矿模型、成矿-找矿空间信息引入蒙特卡洛方法中,无需估计矿床个数分布,减少了工作步骤和评价误差,可提高工作效率和自动化。对实际案例的应用表明该方法是可行的。     

Characteristics of inorganic ions in precipitation at different altitudes in the Yulong Snow Mountain, China

The present study investigated the chemical composition of summer precipitation at different altitudes in Yulong Snow Mountain, hoping to obtain some basic information about the chemical characteristics of precipitation. A couple of precipitation samples at different altitudes in the Yulong Snow Mountain area in southeastern China were collected from July 26 to July 31, 2005 for chemical analyses. Sea-salt tracer analysis showed that Cl^? and Na⁺ had high proportion from marine sources, while the other ions mainly were from non-marine sources. Statistics showed that the cation concentrations ranged from 0.51 to 5.26 mg L^?1 and anion concentrations ranged from 0.99 to 4.90 mg L^?1. Further analysis showed that terrestrial ions, especially from the proximal terrestrial sources, largely affected the ion concentrations in precipitation. Ion concentrations of precipitation were correlated significantly with local atmospheric circulation at altitude 2,950–4,800 m, and also correlated closely with human activities at altitude 2,400–2,950 m. Limestone, the majority of local rocks, caused high cation concentrations in precipitation, such as Ca²⁺ and Mg²⁺. The majority of vapors in the region came from the Indian Ocean whereas parts came from the eastern Pacific. The inorganic ions in precipitation increased significantly in the Yulong Snow Mountain area during this century. Compared with most of the high altitude Mountains in China, the precipitations in the Yulong Snow Mountain area had higher concentrations of inorganic ions and low acidic ion concentrations. The conclusions can provide a basis for study of regional climate characteristics, environment and ecological characteristics of Yulong Snow Mountain area.