隔河岩水库二氧化碳通量时空变化及影响因素

随着气候变化研究的深入,大型河流拦截工程对水域碳循环及温室气体交换的影响引起越来越多的关注.为了评估河流拦截工程对水域生态系统碳循环和二氧化碳交换通量时空分布模式的影响,选择清江隔河岩水库作为典型案例,采用在线分析仪与浮箱相结合的方法,在2015年3月至2016年2月期间开展了完整水文年连续观测实验,获取了水库坝前、上游、支流、消落带与库湾等典型区域二氧化碳通量数据.数据分析结果表明隔河岩水库水气界面二氧化碳平均通量为(55.691 8±66.332 9)mg·(m2·h)-1,呈现年内冬季高其他季节低的时间变化规律,空间上则表现为水库消落带坝前较低、典型库湾区域较高的分布格局.作为水库背景的库尾断面渔峡口区域二氧化碳通量季节变化非常稳定,在大部分时间内反而高于坝前和消落带断面的二氧化碳通量.数据分析表明二氧化碳通量时空分布格局受到水温、pH值和水体碳浓度的显著影响,但其相关程度受到季节和蓄水的双重影响.     

南水北调对密云水库水位变幅带土壤磷释放量的影响

南水北调来水引起的水位上涨可能会导致密云水库水位变幅带土壤中磷的释放.过量的磷可能会引起水体富营养,因此,研究水库变幅带磷释放风险对密云水库水质安全保障具有科学指导意义.本研究采用连续浸提法测定密云水库变幅带土壤及沉积物中弱吸附态磷(NH_4ClP)、铁磷(BD-P)、铝磷(NaOH-P)及钙磷(HCl-P)等4种不同形态磷含量,探讨其分布特征;并在室内进行了磷释放模拟实验,估算了南水北调来水引起水库水位上升所致的易释放磷的释放量.结果表明,NH_4Cl-P、BD-P、NaOH-P、HCl-P广泛地分布于密云水库变幅带土壤及沉积物中.在白河、内湖及潮河3个库区,磷形态分布具有一致规律,即HCl-PNaOH-PBD-PNH_4Cl-P.因密云水库变幅带为中国典型的北方碱性土壤,变幅带无机磷主要为钙磷.NH_4Cl-P在3个库区变幅带土壤中含量相差不大,在受水动扰动力影响较小的内湖库区BD-P含量略高于其它2个库区.在3个不同库区中,潜在活性磷NH_4Cl-P和较稳定的NaOH-P在岸上和水陆交界面土壤及水下沉积物中含量相差不大,受氧化还原条件影响较大的BD-P在沉积物中的含量略高于岸上和水陆交界面土壤.磷释放模拟实验及释放量估算结果表明,水库水位上涨3 m的情况下,白河、潮河和内湖库区淹没变幅带土壤分别释放1.02、0.80、0.37 mg·m~(-2)易释放磷.白河和内湖库区变幅带被水淹没土壤中磷释放的风险可能更高,需加强防护.     

长江口没冒沙演变过程及其对水库工程的响应

研究南槽没冒沙演变规律,可以为筑库引淡蓄水工程建设提供科学依据。根据该海区近百年来各个时期的海图和20年来的实测水文泥沙等资料以及2003、2004年的现场观测数据,探讨了没冒沙的形成及形成后的演变过程。研究表明：没冒沙的形成和发育经历了局部边滩冲刷、边滩沙嘴发育和沙脊形成3个阶段;近半个世纪来,沙体中轴位置在稳定强劲的涨落潮流作用下呈现出西北—东南走向的良好的稳定性,具有潮流脊性质。而蓄淡水库工程建设将有可能使南槽成为适应进出水沙量的新型河槽。     

Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration

Devils Lake is a terminal lake located in northeast North Dakota. Because of its glacial origin and accumulated salts from evaporation, the lake has a high concentration of sulfate compared to the surrounding water bodies. From 1993 to 2011, Devils Lake water levels rose by ~10 m, which flooded surrounding communities and increased the chance of an overspill to the Sheyenne River. To control the flooding, the State of North Dakota constructed two outlets to pump the lake water to the river. However, the pumped water has raised concerns about of water quality degradation and potential flooding risk of the Sheyenne River. To investigate these perceived impacts, a Soil and Water Assessment Tool (SWAT) model was developed for the Sheyenne River and it was linked to a coupled SWAT and CE‐QUAL‐W2 model that was developed for Devils Lake in a previous study. While the current outlet schedule has attempted to maintain the total river discharge within the confines of a two‐year flood (36 m³/s), our simulation from 2012 to 2018 revealed that the diversion increased the Sheyenne River sulfate concentration from an average of 125 to >750 mg/L. Furthermore, a conceptual optimization model was developed with a goal of better preserving the water quality of the Sheyenne River while effectively mitigating the flooding of Devils Lake. The optimal solution provides a “win–win” outlet management that maintains the efficiency of the outlets while reducing the Sheyenne River sulfate concentration to ≤600 mg/L.     

基于超效率DEA模型的三峡库区生态效率评价及空间演化格局分析

本文基于2010—2017年的统计数据,首先采用超效率DEA模型对三峡库区26个区县的生态效率进行测算,然后运用空间自相关分析方法对三峡库区生态效率的演化格局进行了实证分析,探索三峡库区生态效率的时空动态演变特征。研究表明:2010—2017年三峡库区生态效率平均水平处于0.5601～1.1920,整体呈现波动性变化趋势,生态效率在一定程度上有所改善,但是整体水平仍然较低;从区域层面看,各个区县间生态效率水平不平衡,空间分布上呈现"西高东低"的非均衡性特征。局部空间自相关分析表明,三峡库区2010—2017年集聚性呈逐渐减弱态势,空间异质性逐渐增加,整体的生态效率差异变大。最后依据实证研究分析结果,本文对如何提升三峡库区生态效率提出了相应的政策建议。     

水库抗旱调度分期特征确定方法研究

为在一定程度上减轻流域干旱损失,国家防汛抗旱总指挥部提出旱限水位的概念,并开展水库抗旱调度,降低干旱影响程度。旱限水位是水库低水位运行的控制性水位,其合理设置对提高区域水资源利用率意义重大,而水文气象特征在年内的阶段性变化要求基于旱限水位的水库管理应适应其变化特征。此次研究提出水库抗旱调度分期的确定方法,采用核主成分分析法提取指标的非线性特征,结合熵权法赋予指标权重后利用Fisher最优分割法对干旱的年内阶段性变化进行划分。以黄河流域刘家峡和小浪底水库为例,分期结果刘家峡水库分3期为:7月至9月,10月至3月,4月至6月;小浪底水库分3期为:7月至10月,11月至3月,4月至6月。     

Fish mercury increase in Lago Manso, a new hydroelectric reservoir in tropical Brazil

It has been frequently demonstrated that mercury (Hg) concentrations in fish rise in newly constructed hydroelectric reservoirs in the Northern Hemisphere. In the present work, we studied whether similar effects take place also in a tropical upland reservoir during impoundment and discuss possible causes and implications. Total Hg concentrations in fish and several soil and water parameters were determined before and after flooding at Rio Manso hydroelectric power plant in western Brazil. The Hg concentrations in soil and sediment were within the background levels in the region (22-35 ng g(-1) dry weight). There was a strong positive correlation between Hg and carbon and sulphur in sediment. Predatory fish had total Hg concentrations ranging between 70 and 210 ng g(-1) f.w. 7 years before flooding and between 72 and 755 ng g(-1) f.w. during flooding, but increased to between 216 and 938 ng g(-1) f.w. in the piscivorous and carnivorous species Pseudoplatystoma fasciatum, cachara, and Salminus brasiliensis, dourado, 3 years after flooding. At the same time, concentrations of organic carbon in the water increased and oxygen concentrations decreased, indicating increased decomposition and anoxia as contributing to the increased Hg concentrations in fish. The present fish Hg concentrations in commonly consumed piscivorous species are a threat to the health of the population dependent on fishing in the dam and downstream river for sustenance. Mercury exposure can be reduced by following fish consumption recommendations until fish Hg concentrations decrease to a safe level.     

回归分析综合模型在农用地定级估价中的应用

为了使农用地级别划分和基准地价评估真正统一，以黄金坪水电站水库淹没区为例，将淹没区农用地划分为119个定级估价单元，在Arcmap／info，SPSS软件技术平台上，用回归分析法建立水库淹没区农用地定级因素与纯收益之间关系的综合模型，划分农用地级别，然后用收益还原法计算各级别基准地价。结果为：估算纯收益与实际纯收益间绝对误差为0．05元／m^2，相对误差为13．85％，相关系数达0．86；一级地价23元／m^2，二级地价19元／m^2，三级地价15元／m。，四级地价12元／m^2。表明：回归分析综合模型在淹没区农用地定级估价中取得了较理想的效果，使定级估价数据资料直接共享，省去了专家确定权重的难关，适合水库淹没区农用地市场不发育的现状。     

模糊物元评价方法在水库移民安置区优选中的应用

本文在模糊物元分析的基础上,结合模糊相似贴近度的概念,将基于模糊相似贴近度的模糊物元分析应用到水库移民安置区优选中,并根据GIS中图层叠加方法,在多种约束条件下对备选水库移民安景区进行初步的筛选,满足基本约束条件的要求,减轻了初选工作量.在指标权重方面,采用层次分析法和熵值法相结合的方法计算评判指标权重,提高了对移民安置区评判准确度和可信度.最后,将该优化选择模型应用于南水北调工程丹江口库区移民试点优选外迁安置区中,从应用的过程和对计算结果的分析来看,该方法在实践中效果较好,并可推广应用到整个库区外迁移民安置过程中,实现了移民淹没区和安置区优化配置,确保了移民"搬得出、稳得住、逐步能致富"的目标.     

Soil erosion vulnerability under scenarios of climate land-use changes after the development of a large reservoir in a semi-arid area

Climate and land-use/cover changes (LUCC) influence soil erosion vulnerability in the semi-arid region of Alqueva, threatening the reservoir storage capacity and sustainability of the landscape. Considering the effect of these changes in the future, the purpose of this study was to investigate soil erosion scenarios using the Revised Universal Soil Loss Equation (RUSLE) model. A multi-agent system combining Markov cellular automata with multi-criteria evaluation was used to investigate LUCC scenarios according to delineated regional strategies. Forecasting scenarios indicated that the intensive agricultural area as well as the sparse and xerophytic vegetation and rainfall-runoff erosivity would increase, consequently causing the soil erosion to rise from 1.78 Mg ha^?1 to 3.65 Mg ha^?1 by 2100. A backcasting scenario was investigated by considering the application of soil conservation practices that would decrease the soil erosion considerably to an average of 2.27 Mg ha^?1. A decision support system can assist stakeholders in defining restrictive practices and developing conservation plans, contributing to control the reservoir's siltation.