黄河下游泥沙灾害与减灾对策(Ⅰ)——泥沙灾害分类与侵蚀型泥沙灾害

从泥沙研究的角度概述了与河流泥沙有关的灾害及其分类，将黄河下游的泥沙灾害分成侵蚀型泥沙灾害与堆积型泥沙灾害两种情况，讨论了侵蚀型泥沙灾害，包括滩岸坍塌、河道整治工程出险，初步提出了侵蚀型泥沙灾害的减灾方略。     

成都府、南河航运的兴衰与复航展望

本文论述了府河航运的兴衰，讨论了复航的必要性、可能性和要解决的一些问题。     

鸭绿江（丹东段）江水中未知有机污染物分析鉴定与有毒有机物名录筛选

采用美国惠普公司MC/GS联用仪,对鸭绿江（丹东段）江水中有机污染物种类、组成进行了分析鉴定,进而采用高压液相色谱法对多环芳烃类进行定量测定与评价,进行了该江段有毒有机物名录筛选,提出由27种有毒有机污染物组成的名单。     

岷江上游生态脆弱性驱动力分析

作为长江上游重要的生态屏障,岷江上游是典型的生态环境脆弱区。选取了测度岷江上游生态脆弱性的20个指标、25个样本年的2500个数据,采用逆向测度法构建了岷江上游生态脆弱性的测度指标体系,运用因子分析法得到了影响岷江上游的六大驱动因子:生态环境背景状况、人口承载与结构水平状况、水土流失状况、土地垦殖与利用状况、产业结构水平状况、投资水平与结构状况,为岷江上游生态脆弱区恢复重建及经济社会发展提供了科学依据。     

长江经济带后备适宜建设用地潜力

随着中央政府将长江经济带发展提到国家区域战略的新高度,其对建设用地的需求将进一步增加。作为客观反映地区剩余或潜在建设用地对未来人口集聚、工业化和城镇化发展承载能力的指标,后备适宜建设用地潜力成为决定研究区域能否持续稳定发展的关键因素。基于此,本文根据后备适宜建设用地的计算方法和评价技术流程,测算了长江经济带后备适宜建设用地潜力,并对其空间分布特征进行了分析。结果表明:长江经济带后备适宜建设用地面积为85 672.35 km2,约占研究区总面积的4.18%,总体潜力不大,空间上呈现出长江北部高于南部,中游、下游、上游地区依次递减的分布趋势;人均后备适宜建设用地0.22亩/人,下、中、上游地区呈现出依次递减的趋势;四川盆地、两湖平原、皖北等区域的后备适宜建设用地潜力较大,长三角、大城市市辖区以及川西地区不仅后备适宜建设用地较缺乏,人均后备适宜建设用地面积也较低。     

整治塔里木河上、中游用水结构,恢复和重建下游绿色走廊

塔里木河下游的卡拉到罗布庄(台特马湖口)，河道长度491kin，塔河中、上游大规模水土开发，使其下游的水量不断减少。从20世纪70年代开始，大西海子水库就成了塔里木河最终归宿地，两大沙漠在绿色走廊的多处合拢。绿色走廊生态危机已越来越显露出来，遏制塔河下游生态恶化趋势刻不容缓，重新构筑绿色长城不能在延误了。笔者于2002-10月和2004—05月先后两次对塔河中、下游地区进行实地考察，在实地考察和前人研究资料的基础上，对整治塔河上、中游，恢复和重建下游绿色走廊问题进行探讨。     

辽河三角洲土壤中石油类含量光谱分析初探

石油类物质对土壤的污染在油田区域内是一个普遍存在的问题。全面了解土壤中石油类物质含量是评价土壤石油污染的前提条件。对土壤石油污染评价的传统方法是在野外实地进行大量土壤采样,然后在试验室内分析石油类物质的含量。文中提出了利用少量野外土壤石油类物质样品,并结合野外光谱测量的方法对土壤中石油类物质进行分析的新方法。该方法应用于辽河三角洲,具有快速、省钱、省时、省力的特点,能对土壤中石油类物质含量进行宏观分析。满足了油田开发对土壤及环境污染评价的需要,并能为制定油田开发管理保护对策提供辅助信息。     

乌江下游地区旅游业开发可行性评判方法

在考察乌江下游地区旅游资源的基础上,设置了开发该地区旅游业项目的可行性评价指标体系.通过AHP法对各层次指标因子赋权,建立旅游业开发可行性的模糊综合评判模型,为开发乌江流域的旅游资源提供了科学的决策依据.     

EFFECTS OF CLIMATE CHANGE ON HYDROLOGY AND WATER RESOURCES IN THE COLUMBIA RIVER BASIN1

ABSTRACT: As part of the National Assessment of Climate Change, the implications of future climate predictions derived from four global climate models (GCMs) were used to evaluate possible future changes to Pacific Northwest climate, the surface water response of the Columbia River basin, and the ability of the Columbia River reservoir system to meet regional water resources objectives. Two representative GCM simulations from the Hadley Centre (HC) and Max Planck Institute (MPI) were selected from a group of GCM simulations made available via the National Assessment for climate change. From these simulations, quasi-stationary, decadal mean temperature and precipitation changes were used to perturb historical records of precipitation and temperature data to create inferred conditions for 2025, 2045, and 2095. These perturbed records, which represent future climate in the experiments, were used to drive a macro-scale hydrology model of the Columbia River at 1/8 degree resolution. The altered streamflows simulated for each scenario were, in turn, used to drive a reservoir model, from which the ability of the system to meet water resources objectives was determined relative to a simulated hydrologic base case (current climate). Although the two GCM simulations showed somewhat different seasonal patterns for temperature change, in general the simulations show reasonably consistent basin average increases in temperature of about 1.8–2.1°C for 2025, and about 2.3–2.9°C for 2045. The HC simulations predict an annual average temperature increase of about 4.5°C for 2095. Changes in basin averaged winter precipitation range from -1 percent to + 20 percent for the HC and MPI scenarios, and summer precipitation is also variously affected. These changes in climate result in significant increases in winter runoff volumes due to increased winter precipitation and warmer winter temperatures, with resulting reductions in snowpack. Average March 1 basin average snow water equivalents are 75 to 85 percent of the base case for 2025, and 55 to 65 percent of the base case by 2045. By 2045 the reduced snowpack and earlier snow melt, coupled with higher evapotranspiration in early summer, would lead to earlier spring peak flows and reduced runoff volumes from April-September ranging from about 75 percent to 90 percent of the base case. Annual runoff volumes range from 85 percent to 110 percent of the base case in the simulations for 2045. These changes in streamflow create increased competition for water during the spring, summer, and early fall between non-firm energy production, irrigation, instream flow, and recreation. Flood control effectiveness is moderately reduced for most of the scenarios examined, and desirable navigation conditions on the Snake are generally enhanced or unchanged. Current levels of winter-dominated firm energy production are only significantly impacted for the MPI 2045 simulations.     

MEASURED AND PREDICTED VELOCITY AND LONGITUDINAL DISPERSION AT STEAI)Y AND UNSTEADY FLOW,COLORADO RIVER,GLEN CANYON DAM TO LAKE MEAD1

ABSTRACT: The effect of unsteadiness of dam releases on velocity and longitudinal dispersion of flow was evaluated by injecting a fluorescent dye into the Colorado River below Glen Canyon Dam and sampling for dye concentration at selected sites downstream. Measurements of a 26-kilometer reach of Glen Canyon, just below Glen Canyon Dam, were made at nearly steady dam releases of 139, 425, and 651 cubic meters per second. Measurements of a 380-kilometer reach of Grand Canyon were made at steady releases of 425 cubic meters per second and at unsteady releases with a daily mean of about 425 cubic meters per second. In Glen Canyon, average flow velocity through the study reach increased directly with discharge, but dispersion was greatest at the lowest of the three flows measured. In Grand Canyon, average flow velocity varied slightly from subreach to subreach at both steady and unsteady flow but was not significantly different at steady and unsteady flow over the entire study reach. Also, longitudinal dispersion was not significantly different during steady and unsteady flow. Long tails on the time-concentration curves at a site, characteristic of most rivers but not predicted by the one-dimensional theory, were not found in this study. Absence of tails on the curves shows that, at the measured flows, the eddies that are characteristic of the Grand Canyon reach do not trap water for a significant length of time. Data from the measurements were used to calibrate a one-dimensional flow model and a solute-transport model. The combined set of calibrated flow and solute-transport models was then used to predict velocity and dispersion at potential dam-release patterns.