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.     

COMPARISON OF STOCHASTIC AND DETERMINISTIC DYNAMIC PROGRAMMING FOR RESERVOIR OPERATING RULE GENERATION1

ABSTRACT: Two dynamic programming models — one deterministic and one stochastic — that may be used to generate reservoir operating rules are compared. The deterministic model (DPR) consists of an algorithm that cycles through three components: a dynamic program, a regression analysis, and a simulation. In this model, the correlation between the general operating rules, defined by the regression analysis and evaluated in the simulation, and the optimal deterministic operation defined by the dynamic program is increased through an iterative process. The stochastic dynamic program (SDP) describes streamflows with a discrete lag-one Markov process. To test the usefulness of both models in generating reservoir operating rules, real-time reservoir operation simulation models are constructed for three hydrologically different sites. The rules generated by DPR and SDP are then applied in the operation simulation model and their performance is evaluated. For the test cases, the DPR generated rules are more effective in the operation of medium to very large reservoirs and the SDP generated rules are more effective for the operation of small reservoirs.     

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。     

人工神经网络在预测深基坑周边地表沉降变形中的应用研究

深基坑开挖引起的周边地表变形预测是一个复杂非线性问题,引起地表沉降的影响因素很多,各因素之间呈高度的非线性关系。传统的基坑用边地表沉降变形预测方法存在着一定的局限性,其预测精度有待提高,而人工神经网络是一种多元非线性动力学系统,可以灵活方便地对多成因的复杂未知系统进行高度建模,实现全面考虑各种主要影响因素的深基坑周边地表沉降变形预测。本文介绍了误差反向传播(BP)网络模型的结构、学习过程及其算法的改进,径向基函数(RBF)网络模型的结构及其学习过程;分析了影响深基坑开挖周边土体沉降变形的主要影响因素;以25个基坑工程的地表沉降实测资料为训练样本,建立了11个输入影响因素的BP神经网络模型和RBF神经网络模型,通过对样本的学习训练过程及对5个检验样本的预测精度,说明了人工神经网络用于预测基坑周边地表沉降的可行性和准确性。     

北方湖库沉积物重金属区域特征及生态风险评价

以白洋淀、衡水湖、于桥水库、松花湖、大伙房水库和小兴凯湖沉积作为研究对象,通过对北方六湖库沉积物中Cu、Zn、Pb、Cr、Ni等重金属元素进行分析,并与国内外其他水域重金属污染情况进行多因素比较,探讨了六湖库主要重金属污染源的差异性,区域分布特征以及与国内外其他水域污染的相似性和区别.结果表明,六湖库沉积物重金属污染处于中等偏下水平.六湖库之间主要重金属污染源存在差别.沉积物重金属含量未出现明显上升的趋势.其中Zn、Pb存在富集现象,但Pb含量与历史数据相比出现下降,Zn的含量与其他地区相比整体偏高.大伙房水库沉积物重金属污染较重,Cu、Zn、Pb、Cr、Ni含量平均值分别为56.28,142.3,17.44,97.9,44.44mg/kg.小兴凯湖沉积物重金属含量最低,Cu、Zn、Pb、Cr、Ni含量平均值分别为2.41,63.90,13.37,56.36,26.09mg/kg.六湖库综合风险评价结果为大伙房水库>于桥水库>白洋淀>衡水湖>松花湖>小兴凯湖,重金属整体潜在生态风险指数为低.     

水源水库贫营养好氧反硝化菌群脱氮特性研究

为削减微污染水库中氮素的浓度,通过对西安市李家河水库沉积物进行定向富集驯化,筛选出以Pseudomonas菌为主、具有高效好氧反硝化特性的混合菌群-A1.摇床实验表明,贫营养好氧反硝化菌群A1在15h时硝酸盐氮去除率可达93.39%,硝酸盐氮平均去除速率为0.2073mg/（L·h）;总氮去除率为52.11%,总氮平均去除速率为0.1153mg/（L·h）,无亚硝酸盐积累.氮平衡分析表明,约45%的初始氮被去除转化为气体产物.响应面法（RSM）结果表明,C/N比9.96,温度22.67℃,pH8.01,转速91r/min,溶解氧8.55mg/L是去除总氮（TN）的最优条件.     

吉林延吉八道金矿构造控矿模式

八道金矿为延吉中生代火山岩型金矿中较为典型的矿床之一。其矿床成因，除与火山作用有关之外直接受构造的控制，而火山作用本身又与区域深大断裂有关。本文着重讨论了矿区火山岩与朝阳河断裂的关系及构造控矿模式。     

大顶子山航电枢纽工程建库后上游水质总量控制研究

松花江大顶子山枢纽工程建设后,库区内水体流线及扩散规律的变化将影响库区内水质,受沿江排污影响,其规划目标的水环境容量将发生改变,因此对建库后上游水质总量控制进行研究很有意义.     

安徽张八岭地区构造演化及动力学

对张八岭地区的构造特征、演化及其动力学有不同解释。通过1：5万张八岭幅、珠龙幅区域地质调查．从地层、岩石组合、岩石化学、岩浆岩、构造变形和变质等研究认为．该区从中新元古代起，经历了成谷、沉积．下沉、顺层剪切、深部熔融、塑性流动、层间褶皱．叠加折劈、宽缓褶曲、逆掩推覆，壳层滑动、熔融成浆、聚浆热隆、侵入或喷发．剥蚀夷平、堆积充填等铸成现今地貌景观．引起上述构造特征和演化的动力源自重力、热力和地球自转速率变化的惯性离心力等的结合与转化，它们在每个阶段各自所起的作用不同，就产生不同构造特征，推动区域构造演化．     

辽宁省白石水库环境工程地质问题综述

白石水库位于辽宁省北票市上园乡附近的大凌河干流上,是大凌河流域第一期开发的控制性骨干工程，水库建成后，将产生许多环境工程地质问题。从库坝区的地质背景出发，对水库渗漏、库岸再造与泥沙淤积、淹没与浸没、水库诱发地震、坝下冲刷坑稳定性等主要环境工程地质问题进行了综合评述。