土地系统研究的几个问题

对土地系统研究的形成背景、研究现状及发展趋势进行了综述,并在此基础上,就土地系统研究的对象、理论基础和体系等进行了探讨。     

梯级水库群联合优化调度函数研究

构建了制定梯级水库群联合优化调度函数的"优化-拟合-再优化-随机仿真"框架:首先建立梯级水库群优化调度模型,通过确定性动态规划方法得到最优样本;然后对最优样本进行多元线性回归分析得到联合调度函数;并基于模拟调度结果采用非线性规划方法直接修正调度函数;最后通过水文随机模拟技术生成径流系列,进一步检验、评价所得调度函数的效率。以清江梯级水库群长期优化调度为对象进行实例研究,计算结果表明:对于1951-2005年实测径流系列,梯级水库群联合优化调度函数较常规调度方案年均增加发电量2.03亿kW·h,增幅达2.79%;对于两种随机模拟方法生成的水文径流系列,年均发电量分别提高了1.74%和2.36%,经济效益显著。     

梯级水电开发对生态地质环境影响评价的思路与方法初探

笔者在充分调研和综合分析研究金沙江、雅砻江、大渡河水电工程区岸坡生态地质环境条件和主要生态环境地质问题及其环境演化效应的基础上.按照分类评价思想和原理.初步探讨了流域梯级水电工程开发对生态地质环境影响评价的思路与方法,初步提出以斜坡(岸坡)稳定性评价子系统、水土流失与水库淤积评价子系统、生态环境演化评价子系统和社会经济发展影响子系统等四大类子系统为主干的梯级水电开发对生态地质环境影响评价系统.初步建立了四大类评价指标体系,讨论了评价方法与成果表达方式,供大家讨论。     

应用MATLAB设计高效多级抽取滤波器

介绍如何应用Matlab设计级联梳状(CIC)滤波器、半带滤波器和有限脉冲响应(FIR)滤波器。并设计了一种高效的多级抽取滤波器，将该算法用数字信号处理器(DSP)进行验证，结果表明，该多级抽取滤波器能满足地震数据采集系统的精度要求。     

应对干旱的黄河干流梯级水库群协同调度

科学控制梯级水库蓄泄过程是减少旱灾损失的重要手段。以减少干旱年份流域缺水量和优化缺水时空分布为目标,构建应对干旱的梯级水库群多时空尺度协同优化调度模型。采用交互式与改进粒子群优化方法,外层寻求多年调节水库旱限水位最优控制,内层优化梯级水库群年内蓄泄过程,实现流域水资源年际调控、年内优化、库群协同、空间协调。以2014年的黄河流域重旱为例,通过模型优化提出2012—2014年龙羊峡水库旱限水位及梯级水库群年内蓄泄过程,结果表明:通过龙羊峡水库旱限水位控制实现跨年度补水,控制各年度缺水率在4.9%~5.7%之间,通过水库群出库过程优化控制不同区域各时段缺水均匀分布,将农业缺水率控制在7.0%~11.0%之间,显著减轻了旱灾损失。     

南水北调供应链运营管理的若干问题探讨

分析了供应链管理理论与方法用于南水北调运营管理的可行性,阐述了南水北调供应链可以帕累托整体最优为管理目标.结合南水北调东线水资源系统的实际,定义了南水北调供应链契约,构建了南水北调供应链委托-代理契约关系模型,提出并定义了南水北调供应链中“信息变换效应”的概念,初步分析信息变换效应的存在、量化和控制.论文表明,供应链管理理论与方法在水资源复杂大系统水资源配置和调度管理的理论与方法层面上具有开拓性和广泛的应用前景.     

A Case Study on MJO Energy Transport Path in a Local Multi-scale Interaction Framework

A new local kinetic energy (KE) budget for the Madden-Julian Oscillation (MJO) is constructed in a multi-scale framework. This energy budget framework allows us to analyze the local energy conversion processes of the MJO with the high-frequency disturbances and the low-frequency background state. The KE budget analysis is applied to a pronounced MJO event during the DYNAMO field campaign to investigate the KE transport path of the MJO. The work done by the pressure gradient force and the conversion of available potential energy at the MJO scale are the two dominant processes that affect the MJO KE tendency. The MJO winds transport MJO KE into the MJO convection region in the lower troposphere while it is transported away from the MJO convection region in the upper troposphere. The energy cascade process is relatively weak, but the interaction between high-frequency disturbances and the MJO plays an important role in maintaining the high-frequency disturbances within the MJO convection. The MJO KE mainly converts to interaction KE between MJO and high-frequency disturbances over the area where the MJO zonal wind is strong. This interaction KE over the MJO convection region is enhanced through its flux convergence and further transport KE to the high-frequency disturbances. This process is conducive to maintaining the MJO convection. This study highlights the importance of KE interaction between the MJO and the high-frequency disturbances in maintaining the MJO convection.     

水库泄洪方式对白洋淀入淀洪水及防洪的影响分析

以海河流域大清河南支为研究对象,基于2016年设计洪水修订成果,计算了100年一遇标准洪水,白洋淀上游5座大型水库在分级控泄调度、峰后敞泄调度、联合调度3种调度方式下,入白洋淀的洪水过程线,以此为基础,计算了各种水库调度方式对白洋淀蓄滞洪区防洪的影响。     

Markov Processes and Discrete Multifractals

Fractals and multifractals are a natural consequence of self-similarity resulting from scale-independent processes. Multifractals are spatially intertwined fractals which can be further grouped into two classes according to the characteristics of their fractal dimension spectra: continuous and discrete multifractals. The concept of multifractals emphasizes spatial associations between fractals and fractal spectra. Distinguishing discrete multifractals from continuous multifractals makes it possible to describe discrete physical processes from a multifractal point of view. It is shown that multiplicative cascade processes can generate continuous multifractals and that Markov processes result in discrete multifractals. The latter result provides not only theoretical evidence for existence of discrete multifractals but also a fundamental model illustrating the general properties of discrete multifractals. Classical prefractal examples are used to show how asymmetrical Markov process can be applied to generate prefractal sets and discrete multifractals. The discrete multifractal model based on Markov processes was applied to a dataset of gold deposits in the Great Basin, Nevada, USA. The gold deposits were regarded as discrete multifractals consisting of three spatially interrelated point sets (small, medium, and large deposits) yielding fractal dimensions of 0.541 for the small deposits (<25 tons Au), 0.296 for the medium deposits (25--500 tons Au), and 0.09 for the large deposits (>500 tons Au), respectively.     

Climate change impacts on groundwater hydrology – where are the main uncertainties and can they be reduced?

ABSTRACT

This paper assesses how various sources of uncertainty propagate through the uncertainty cascade from emission scenarios through climate models and hydrological models to impacts, with a particular focus on groundwater aspects from a number of coordinated studies in Denmark. Our results are similar to those from surface water studies showing that climate model uncertainty dominates the results for projections of climate change impacts on streamflow and groundwater heads. However, we found uncertainties related to geological conceptualization and hydrological model discretization to be dominant for projections of well field capture zones, while the climate model uncertainty here is of minor importance. How to reduce the uncertainties on climate change impact projections related to groundwater is discussed, with an emphasis on the potential for reducing climate model biases through the use of fully coupled climate–hydrology models.

Editor D. Koutsoyiannis; Associate editor not assigned