塔里木河流域水资源分析系统开发研究

根据水资源评价工作的基本任务和实际需求,充分利用计算机及地理信息系统技术,研究和探讨了塔里木河流域水资源分析系统(T-WRAS)的功能、结构、数据组织及其实现关键技术。同时介绍了降水量—高程量化模型(PEM)、自调节水量模拟模型(SRWQ)、基于“发展综合指标测度”的协调程度量化方法(DD)等一些模型和方法。该系统可对三源流汇流过程进行分析,对研究区进行数量、质量、开发利用及综合评价,评价结果以图、文、表等多种形式表达。系统的框架、建设思路及相关模型的研究有一定的理论和现实意义。     

萨拉乌苏河流域150 ka BP以来的粒度旋回

萨拉乌苏河流域米浪沟湾地层剖面150kaBP以来古流动砂丘砂与河湖相和古土壤在粒度上具有多次显著的粗细韵律交替变化，粒度参数-Mz、σ、Sk、Kg和SC/D亦随之响应为多波动峰谷交替的态势，同时，粒度特征值-φ5、φ16φ、φ25、φ50、φ84、φ9相应地表现为非常有节奏地跳动，据此，将米浪沟湾剖面划分为27个粒度粗细沉积旋回，并认为其是150kaBP以来在东亚冬夏古代季风交替影响下沙漠演变的一个颇为完整的气候-地质过程记录。     

澜沧江—湄公河水电梯级开发的生态影响

针对次澜沦江－湄公河区域快速增长的能源需求,以及国际社会对该流域水电开发的经济、生态和社会问题的关注,集中分析了流域干流水电梯级开发对生态环境的综合影响,提出了能满足各流域国对能源、防洪、灌溉、水生生态保护和减轻海水倒灌等多方面需求的对策措施。     

基于上市公司网络的长三角城市网络空间结构研究

公司内部网络研究是当前城市经济网络研究的重要内容.本文利用2005、2010年长三角A股上市公司企业网络数据库,运用社会网络分析方法、位序—规模分析法等,分析了2005、2010年长三角城市网络空间结构演变及其主要影响因素.研究发现:①长三角上市公司总部沿沪宁—沪杭—杭甬Z字形轴线集聚,从一主(上海)二副(杭州、南京)三中心向一主(上海)三副(杭州、苏州、南京)四中心空间结构演变;苏州超过南京成为第三大企业总部集聚中心.②长三角城市网络核心—边缘结构整体延续,Z字形轴线城市维持核心地位,具备强大的网络权力与威望.③长三角城市网络除等级扩散、邻近扩散等特征之外.还具有明显的行政地域性.主要体现在省会南京、杭州分别成为江苏、浙江省内外上市公司子公司的重要据点;尤其是南京凭借省会优势,中心度仍然高于总部职能较强的苏州.④在长三角经济一体化背景下,跨行政地域性的联系有所加强,特别是上海、苏南向苏中、苏北的扩散明显;浙西南仍是网络相对封闭、孤立的地带,中心度相对较低.⑤行政等级和区划,市场容量等是长三角城市网络空间结构的主要影响因素,而到上海高速公路时间距离、劳动力成本和土地成本的影响在统计上未通过显著性检验.     

近半个世纪来气候变暖背景下黄河流域潜在蒸散量的变化(英文)

According to the meteorological observation data of 72 stations from 1960 to 2010 in the Huanghe (Yellow) River Watershed, China, the long-term variations of potential evapotranspiration, calculated in the modified Penman-Monteith model of Food and Agriculture Organization of the United Nations, were presented, as well as the meteorological causes for the decrease of potential evapotranspiration were discussed. Since 1960, temperature has risen significantly and potential evapotranspiration a decreasing trend, which indicated the existence of "Evaporation paradox" in the Huanghe River Watershed. This phenomenon was not consistent spatially or temporally with the increase of temperature, potential evapotranspiration decreased in spring, summer and winter, mainly over most parts of Shanxi and Henan, and some parts of Gansu, Ningxia, Inner Mongolia, and Shaanxi. During the recent half century, the trends of temperature and potential evapotranspiration were negatively correlated at most of the stations, while precipitation and potential evapotranspiration exhibited a contrary trend. Calculated in multiple regressions, the contribution to potential evapotranspiration change of related meteorological factors was discussed, including mean pressure, maximum and minimum temperature, sunshine hours, relative humidity and average wind speed. The decrease of wind speed in the Huanghe River Watershed may be the dominating factor causing potential evapotranspiration decreasing.     

珠江三角洲地区风暴潮重现期及增水与环境要素的关系

珠江三角洲地区是我国海岸中台风暴潮最严重的区域之一,受全球变暖和海平面上升影响,该地区风暴潮增水重现值将出现显著的变化。本文采用耿贝尔方法和皮尔逊Ⅲ型分布法,分别计算了珠江三角洲地区11个潮位站的最大增水值的重现期,并对计算结果进行了比较,绘制了风暴潮增水重现值分布曲线。结果表明大部分潮位站的耿贝尔分布曲线与经验频率点吻合程度较好,少数潮位站的皮尔逊Ⅲ型分布曲线与经验频率点吻合程度较好,两种方法结合起来效果最佳;分析了该地区风暴潮重现期的基本特征;最后总结了风暴潮与台风路径、天文潮以及地形之间的关系。该计算结果将为政府规划设计部门决策提供参考,对风暴潮预报、海岸工程设计和估计风暴潮造成的损失提供科学依据。     

黄河三角洲滨海地区植物生长季大气氮沉降动态

利用SCJ-302型降水降尘自动采样器在植物生长季对黄河三角洲滨海湿地的大气氮沉降进行监测,对沉降物中水溶性离子、干、湿沉降氮输入量、铵态氮和硝态氮在总沉降量中的贡献率及月变化动态等分析表明：黄河三角洲植物生长季,大气干、湿沉降中SO₄^2-和NO₃^-占阴离子总量的92%以上,和Na⁺和Ca²⁺占阳离子总量的80%以上,总N沉降量约为2 264.24 mg/m²,且69%集中在降雨量较丰沛的6-8月。其中干沉降氮贡献率约为32.02%,主要集中在春季。N的湿沉降量与降雨量呈显著正线性相关（R²=0.82）,在降雨量丰沛的8月,达到最大值675.64 mg/m²。该地区大气干沉降的氮素形态以硝态氮为主,约占氮素输入量的57.21%,湿沉降中以铵态氮为主,约占氮素输入量的56.51%。植物生长季中,大气沉降中的硝态氮与铵态氮含量对表层10 cm土壤的月平均贡献率分别为约31.38%和20.50%,可见大气氮沉降是黄河三角洲滨海区域土壤主要氮素来源之一。     

Eco-environment range in the source regions of the Yangtze and Yellow rivers

Based on geographical and hydrological extents delimited, four principles are identified, as the bases for delineating the ranges of the source regions of the Yangtze and Yellow rivers in the paper. According to the comprehensive analysis of topographical characteristics, climate conditions, vegetation distribution and hydrological features, the source region ranges for eco-environmental study are defined. The eastern boundary point is Dari hydrological station in the upper reach of the Yellow River. The watershed above Dari hydrological station is the source region of the Yellow River which drains an area of 4.49×104 km2. Natural environment is characterized by the major topographical types of plateau lakes and marshland, gentle landforms, alpine cold semi-arid climate, and steppe and meadow vegetation in the source region of the Yellow River. The eastern boundary point is the convergent site of the Nieqiaqu and the Tongtian River in the upstream of the Yangtze River. The watershed above the convergent site is the source region of the Yangtze River, with a watershed area of 12.24×104 km2. Hills and alpine plain topography, gentle terrain, alpine cold arid and semi-arid climate, and alpine cold grassland and meadow are natural conditions in the source region of the Yangtze River.     

The Singapore River thematic zone: sustainable tourism in an urban context

This paper explores the concept of sustainable tourism and how it applies to urban destinations such as Singapore. As tourism is an important industry in Singapore, in terms of employment, business activity and an income generator, the Singapore Tourism Board is continuously looking at potential avenues to make Singapore a competitive destination. We examine the use of thematic zones in Singapore as a strategy to achieve its ambition of becoming a tourism capital of the world. By focusing on a case study of the Singapore River thematic zone (one of the 11 thematic zones identified by the Singapore Tourism Board), we assess the viability of thematic zones in ensuring sustainable urban tourism. The paper closes with some theoretical reflections and policy implications arising from our key findings.     

疏勒河径流量与绿洲面积、农业产值及生态效益的关系

基于1954-2010 年疏勒河干流出山径流量、2000-2010年流域内灌区水资源供应量、灌区农作物种植类型、农作物及林草地面积等资料,通过建立系统动力学模型,探讨了气候变化背景下疏勒河径流量对绿洲的影响。结果表明:绿洲受径流量变化影响显著,若出山径流量按1954-2010 年变化趋势增加,绿洲面积、农业产值、生态效益将有不同程度增加; 若出山径流量减小,绿洲面积、农业产值、生态效益亦相应减小。2020年出山径流量较2010年分别减少5%、10%、15%时,绿洲面积和农业产值相应减小4.5%、8.9%、13.4%。在径流量不变情况下,若普及常规节水,林、草地面积均增加16%以上; 若普及高效节水,林、草地面积均扩大54.7%; 若提高渠系利用率到0.70,林草地面积扩大5%以上,总产值增加5.4%; 若提高渠系利用率到0.75,林草地面积增加12%以上,总产值增加12.2%。