塔里木河流域绿洲城镇发展与水土资源效益分析

通过Global Moran'sⅠ指数和Getis-Ord Gi*指数并构建协调发展度模型对塔里木河流域绿洲城镇1995、2000、2005和2008年4个时间点的城镇化水平、土地资源效益和水资源效益的集聚扩散状态及其冷热点空间格局演化与空间联动效应进行分析,得出结论:受塔河流域绿洲分布、气候条件及城镇发展基础等多种因素影响,城镇化和水土资源效益空间格局表现出不尽相同的状态.①塔河流域城镇化与水土资源效益的集聚扩散状态不一致,城镇发展与自然条件相互作用的时间和力度不同决定了三者空间差异的必然性.②受城镇化所处阶段、城镇职能与主导产业的影响,各县市水土资源开发的时序不同,城镇化和水土资源效益各自的热点演化格局明显不同,区域联动效应差异显著.③城镇化与水土资源效益冷热点区域的数量结构迥异.城镇不平衡发展仍然是主导趋势,土地资源效益滞后于城镇发展,水资源效益敏感性较强.④塔河流域范围广,自然条件复杂,各二级流域城镇化与水土资源效益的差异性显著.⑤城镇化与水土资源效益协调发展度的类型主要为发展水平低和较低两种,协调发展度的空间格局相比其冷热点区域的空间格局更具稳定性,三者差异显著是协调发展度低的重要原因.     

汉江上游郧西段全新世古洪水事件研究

古洪水水文学是全球变化科学领域的前沿课题.通过对汉江上游的深入调查研究,在郧西段基岩峡谷发现全新世古洪水滞流沉积地层.通过沉积学观察研究,采样分析和与2010年汉江洪水滞流沉积物的粒度、磁化率特征对比,判定为典型的全新世洪水滞流沉积物(SWD).通过全新世地层对比和光释光(OSL)测年,确定其记录了全新世时期3200-2800 a BP的特大古洪水事件.在确定了古洪水洪峰水位和相关参数的基础上,采用比降法水文模型推算出该期洪水洪峰流量在48830～51710m3/s之间.同时在该断面观测了汉江上游1983年、2005年和2010年洪水洪痕水位,采用相同水文参数和模型,恢复了其洪峰流量,与白河水文站实测流量比较,误差在1.99％～4.21％之间,说明我们对于古洪水水文参数选择与洪峰流量计算结果是合理的.从而将古洪水数据加入洪水频率序列中,建立了万年尺度洪水流量与频率关系.该研究成果为汉江上游水资源水能源开发利用和防洪减灾等,提供了重要的水文资料.     

基于Biot-Gassmann 方程的流体替换技术在番禺天然气区PY 气田的应用

珠江口盆地番禺天然气区PY 气田位于坡折带上,特殊的沉积环境导致该气田已钻探的各井 T50 储层泊松比关系异常,含油气性特征非常复杂。为更好的判断储层的含油气性,利用Biot-Gassmann 方程对坡折带储层的流体性质进行了替换,考查不同流体性质下储层的含油气响应特征。研究结果表明: Biot-Gassmann 方程能有效的用于坡折带储层的流体替换研究; 坡折带T50 储层含水和含气时的AVO 响应特征相近,但两者响应的幅值不同,含水砂岩的幅值更小。     

Preliminary study on the dissolved and colloidal organic carbon in the Zhujiang River estuary

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下扬子地区中-新生代的挤压变形与伸展改造及其油气勘探意义

以地表变形特征、地层厚度变化和地震剖面为约束,构建了贯穿下扬子地区主要构造单元的三条地质大剖面。剖面展示了研究区早期褶皱逆冲、晚期伸展断陷的构造格局,并揭示了变形的空间差异。通过对褶皱卷入的层位、断层与地层的切割关系及不整合类型和发育特征的梳理,得出研究区北侧的褶皱逆冲主要形成于中-晚三叠世,南侧的褶皱逆冲主要形成 于中-晚侏罗世。两侧的挤压构造在晚白垩世开始都经历了强烈的拉张作用,北侧的断陷一直持续到古近纪,新近纪以拗陷为主,而南侧古近纪断陷规模较小,新近纪拗陷不发育。苏州-无锡地区的下古生界受后期改造作用较弱,是油气勘探的有利地区。     

黑河下游胡杨季节尺度径向生长变化研究

利用半径型树木生长测量仪, 于2009-2010年生长季对西北内陆河-黑河流域下游荒漠河岸林优势树种-胡杨径向生长进行了监测, 结合环境气象、 水文因子同步监测资料, 对胡杨季节变化节律和环境影响因素进行了研究.结果表明: 按照胡杨径向生长日变化特征, 将其分为增长型(ΔR+)、 负增长型(ΔR-)和持续增长型(ΔR++)3种类型.在生长季, 胡杨径向生长季节变化呈"S"型, 可分为前期缓慢增长(P1)、 迅速增长(P2)和后期微弱增长(P3) 3个阶段; ΔR+/++类型在这3个阶段中所占比例分别为63.64%, 85.51%和48.61%; 5月末至8月初是胡杨年轮形成的主要阶段, 在该阶段气温和地下水位埋深均表现出显著的相关关系, 但地下水位埋深应是最根本的因素. 因此, 在树木年轮学应用方面, 胡杨可以用来反演区域水环境变化, 包括河道径流和地下水位变化等. 在荒漠河岸林管理方面, 满足春夏季地下水位条件和适度频率的春汛, 是保证该地区胡杨河岸林正常生长和保持合理种群结构的前提.     

河流形态的分维及与洪水关系的探讨--以长江中下游为例

河流水系形态特征可以通过河流的分形特征来反映,分形维数则是河流分形特征的量化表示,其与河流洪水之间存在着一定的关系。以长江中下游为例,利用网格覆盖法计算出长江中下游河流分维,分析了长江中下游河流的分形特性,并在此基础上结合长江中下游洪水分析不同水系特征下洪水的特点。研究结果表明,一般来说河道分维越大、河网分维越小,洪水发生可能性则越高。     

四川省西溪河地洛水电工程区“7.31”泥石流灾害

2009-07-31,四川省凉山彝族自治州西溪河流域金阳县地洛电站施工区暴发泥石流,造成9人死亡、施工道路及设施损毁.通过现场调查和分析认为,"7.31"泥石流是一场高容重低粘度坡面型泥石质泥石流,强降雨是此次泥石流形成的激发条件,工程弃渣是其形成的物质基础和条件,过沟公路未合理设置排水涵洞,路基被毁,沿途大量物质补给是泥石流形成的促进因素."7.31"泥石流隐蔽性强,人们对其危害范围认识不足,防灾意识薄弱,监测预警不到位,是造成人员伤亡与财产损失的重要因素.结合西溪河流域水电开发的现状,针对性地提出了规范人类工程活动,提高防灾意识,加强地质灾害的监测预警等防治对策,建议进一步加强中小水电工程施工的监管力度,切实落实灾害危险性评估与防灾措施,最大限度地减少人为地质灾害.     

Hydrological system analysis and modelling of the Kara River basin (West Africa) using a lumped metric conceptual model

This paper discusses the analysis and modelling of the hydrological system of the basin of the Kara River, a transboundary river in Togo and Benin, as a necessary step towards sustainable water resources management. The methodological approach integrates the use of discharge parameters, flow duration curves and the lumped conceptual model IHACRES. A Sobol sensitivity analysis is performed and the model is calibrated by applying the shuffled complex evolution algorithm. Results show that discharge generation in three nested catchments of the basin is affected by landscape physical characteristics. The IHACRES model adequately simulates the rainfall–runoff dynamics in the basin with a mean modified Nash-Sutcliffe efficiency measure of 0.6. Modelling results indicate that parameters controlling rainfall transformation to effective rainfall are more sensitive than those routing the streamflow. This study provides insights into understanding the catchment’s hydrological system. Nevertheless, further investigations are required to better understand detailed runoff generation processes.

EDITOR M.C. Acreman; ASSOCIATE EDITOR N Verhoest     

Responses to climate warming of hydrological processes in the upper Kelan River in the Altay Mountains, Xinjiang, China

Kelan River is a branch of the Ertix River, originating in the Altay Mountains in Xinjiang, northwestern China. The upper streams of the Kelan River are located on the southern slope of the Altay Mountains; they arise from small glacial lakes at an elevation of more than 2,500 m. The total water-collection area of the studied basin, from 988 to 3,480 m, is about 1,655 km2. Almost 95 percent of the basin area is covered with snow in winter. The westerly air masses deplete nearly all the moisture that comes in the form of snow during the winter months in the upper and middle reaches of the basin. That annual flow from the basin is about 382 mm, about 45 percent of which is contributed by snowmelt. The mean annual precipitation in the basin is about 620 mm, which is primarily concentrated in the upper and middle basin. The Kelan River system could be vulnerable to climate change because of substantial contribution from snowmelt runoff. The hydrological system could be altered significantly because of a warming of the climate. The impact of climate change on the hydrological cycle and events would pose an additional threat to the Altay region. The Kelan River, a typical snow-dominated watershed, has more area at higher elevations and accumulates snow during the winter. The peak flow occurs as a result of snow-melting during the late spring or early summer. Stream flow varies strongly throughout the year because of seasonal cycles of precipitation, snowpack, temperature, and groundwater. Changes in the temperature and precipitation affect the timing and volume of stream-flow. The stream-flow consists of contributions from meltwater of snow and ice and from runoff of rainfall. Therefore, it has low flow in winter, high flow during the spring and early summer as the snowpack melts, and less flows during the late summer. Because of the warming of the current climate change, hydrology processes of the Kelan River have undergone marked changes, as evidenced by the shift of the maximum flood peak discharge from May to June