水库移民安置区土地补偿现状与补偿原理

随着农村土地制度的变化,安置区土地补偿问题对于协调水库移民安置中各相关主体之间的利益平衡具有重要的意义。本文基于实地调查,首先分析了水库移民安置区土地补偿的现状和存在的问题;其次,运用土地产权理论和福利经济理论,从安置区土地补偿的原因、范围和补偿原则等方面阐明了安置区土地补偿的基本原理;最后,在此基础上提出了完善相关法律法规、协调水利水电工程建设中利益相关者的关系和利益平衡、体现农地价值等政策建议。结果表明:其一,安置区的土地补偿,无论从现行法律、还是从实际获得的补偿来看,均未体现对安置区土地权益的保护;其二,安置区集体和居民理应获得相应的权益补偿,其补偿范围既包括转出土地使用权的补偿,也包括对共同拥有土地所有权带来的权益分配变化的补偿;其三,土地制度的建设和改进上,应依据安置区土地资源状况和调出土地的状况确定补偿标准,淹没区集体、移民和安置区集体、居民应获得同等补偿,并力求体现农地价值。     

有限单元算法在水质模拟中的应用研究

利用模拟河流水质的二维水质模型和有限单元算法,使用MATLAB软件进行计算程序的编写,开展该模型和有限单元算法在三峡库区水质模拟的适用性研究。有限单元法的基本思路是把一个连续的环境空间离散为若干个单元,每一个单元都可以是作为一个完全混合的子系统,通过对每一个单元建立质量平衡方程,从而建立起体系模型。模拟因子包括:BOD5、COD、NH3-N三项。由计算值与监测值进行比较后可知,与监测值误差最大的为NH3-N,可达23.8%;最小的为BOD5,误差为5.3%。由此可以说明,本课题的用于三峡水库水质预测的二维水质模型具有较高的精度,能够用来模拟预测三峡水库蓄水以后的水质变化状况。     

REAL CODED GENETIC ALGORITHM OPTIMIZATION OF LONG TERM RESERVOIR OPERATION1

ABSTRACT: An optimization and simulation model holds promise as an efficient and robust method for long term reservoir operation, an increasingly important facet of managing water resources. Recently, genetic algorithms have been demonstrated to be highly effective optimization methods. According to previous studies, a real coded genetic algorithm (RGA) has many advantages over a binary coded genetic algorithm. Accordingly, this work applies an RGA to obtain the 10‐day (the traditional period of reservoir operation in Taiwan) operating rule curves for the proposed reservoir system. The RGA is combined with an effective and flexible scheme for coding the reservoir rule curves and applied to an important reservoir in Taiwan, considering a water reservoir development scenario to the year 2021. Each rule curve is evaluated using a complex simulation model to determine a performance index for a given flow series. The process of generating and evaluating decision parameters is repeated until no further improvement in performance is obtained. Many experiments were performed to determine the suitable RGA components, including macro evolutionary (ME) selection and blend‐α crossover. Macro evolution (ME) can be applied to prevent the premature problem of the conventional selection scheme of genetic algorithm. The purpose of adjusting a of a crossover scheme is to determine the exploratory or exploitative degree of various subpopulations. The appropriate rule curve searched by an RGA can minimize the water deficit and maintain the high water level of the reservoir. The results also show that the most promising RGA for this problem consists of these revised operators significantly improves the performance of a system. It is also very efficient for optimizing other highly nonlinear systems.     

贵州红枫湖地区冷暖两季土壤/大气界面间汞交换通量的对比

采用动力学通量箱(Dynamic Flux Chamber,DFC)与高时间分辨率自动大气测汞仪联用技术,于2002年7月和2003年3月对红枫湖地区土壤/大气界面上汞交换通量进行了测定.夏冬2季土壤-大气汞的交换通量分别为(27.4±40.1)ng·(m²·h)^-1(n=255)和(5.6±19.4)ng·(m²·h)^-1(n=192).夏季汞交换通量和光照、气温及土壤温度的相关系数分别为0.74、0.83和0.80,而冬季分别为0.88、0.56和0.59.对比研究表明:暖季土壤向大气的释汞通量远高于冷季;2个季节光照、温度等气象因素对土壤/大气界面间汞交换均有重要的影响.     

三峡库区兴山县灵老爷崩滑体治理工程施工技术

崩滑体在体积大小、稳定状态、危害程度方面都是千差万别的,要针对不同情况分类处理,对大多数可能产生形态失稳的崩滑体进行监测和预报,对可能产生危害的崩滑体应采取工程治理措施。笔者根据三峡库区兴山县灵老爷崩滑体的具体情况,结合环境要求,提出防治工程的治理方案,并取得良好的效果,对三峡库区其他类似地质问题具有借鉴意义。     

Effects of drawdown scenario on retrogressive lateral erosion in a reservoir

The drawdown of reservoirs behind dams is an important management strategy (e.g., for removal of aging infrastructure, flushing of sediment), and an opportunity to study erosional processes. A numerical model was developed to examine retrogressive bank erosion across reservoir drawdown scenarios and to evaluate factors controlling the rate, volume, and mechanisms of lateral erosion. Modeled processes included dynamic drawdown of groundwater, sequential slope failures via limit equilibrium analysis, and retrogression considering stress interaction between failing blocks. Field measurements were coupled with Staged, Slow, and Rapid drawdown scenarios. Results highlight the importance of including retrogression as an avenue for lateral erosion, as sequential block failures were found to occur in all scenarios except Slow drawdown. This result indicates that bank stability models without some means of characterizing the evolution of slope failure during drawdown are likely underestimating bank failure rates and volumes. In contrast, dynamic groundwater was not found to be a dominant control for any drawdown scenario. Model results also demonstrate that the drawdown increment is a first-order control on slope instability via the development of drained or undrained conditions. A majority of failures occurred under undrained conditions. To maximize slope stability, using slow drawdown to activate internal friction under drained conditions is essential. The design of the drawdown rate created a tradeoff between the amount of impact created and when the impact is produced. The study also articulated the need for coupling models and field observations for rapidly changing systems.     

Comparison of Machine Learning Models Performance on Simulating Reservoir Outflow: A Case Study of Two Reservoirs in Illinois,U.S.A.

Reservoir outflow is an important variable for understanding hydrological processes and water resource management. Natural streamflow variation, in addition to the streamflow regulation provided by dams and reservoirs, can make streamflow difficult to understand and predict. This makes them a challenge to accurately simulate hydrologic processes at a daily scale. In this study, three Machine Learning (ML) algorithms, Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN), were examined and compared to model reservoir outflow. Past, current, and future hydrologic and meteorological data were used as model inputs, and the outflow of next day was used as prediction. Simulation results demonstrated that all three models can reasonably simulate reservoir outflow. For Carlyle Lake, the coefficient of determination and Nash–Sutcliffe efficiency were each close to one for the three models. The coefficient of determination, relative mean bias, and root mean square error indicated that the SVM performed better than the RF and ANN, but the SVM output displayed a larger relative mean bias than that from RF and ANN. For Lake Shelbyville, the ANN model performed better than RF and SVM when considering the coefficient of determination, Nash–Sutcliffe efficiency, relative mean bias, and root mean square error. The study results demonstrate that the three ML algorithms (RF, SVM, and ANN) are all promising tools for simulating reservoir outflow. Both the accuracy and efficacy of the three ML algorithms are considered to support practitioners in planning reservoir management.     

尾矿库地震液化机理及抗震评估指标体系研究

2008年"5.12"汶川大地震中,四川、陕西和甘肃三省尾矿库均受到不同程度的破坏和影响。本文针对四川汶川地震造成灾区尾矿库排洪系统失效,坝基沉降,坝体滑坡、垮塌、开裂等现状,对尾矿库地震溃坝机理进行了分析,研究了地震作用机理和地震液化的影响因素;在此基础上,建立起用于评估尾矿库抗震能力和地震溃坝可能性的指标体系,指标体系考虑了地震强度、防洪、抗滑、抗渗透和安全管理五个方面,能够较为全面的分析和评估尾矿库在抗震方面的基本特性,并通过研究给出了各个指标的分级方法。该体系的建立为尾矿库抗震能力评估、避免特殊工况下尾矿库溃坝事故的发生具有一定应用价值,可为尾矿库运行期的安全管理提供依据。     

Water quantity and quality dynamics of the THC — Tuyamuyun Hydroengineering Complex — And implications for reservoir operation

Background In the Aral Sea basin, safe water resources are scarce and steadily becoming scarcer. Particularly high quality water is going to become a rare good. The object of the study was the Tuyamuyun Hydroengineering Complex (THC), a complex of artificial water reservoirs located in the lower Amu Darya River, which provides water for irrigation, industry, and drinking for the lower Amu Darya region. The focus was on operation of one of its four reservoirs, the Kaparas, which is mainly used for drinking water supply. The objective includes the investigation of impacts of conventional operation schemes on the reservoir water quality for improving drinking water quality (salinity). Basic operation rules for Kaparas, which can be considered as representative for conventional dam operation under dry year conditions, had to be identified and improved operation schemes derived. Methods Existing data archives were analysed, and further data were acquired from field surveys, data processing and modelling studies. Historical data were identified, which are appropriate to determine representative schemes for the conventional operation. For the simulation of time-dependent and depth-dependent changes of reservoir salinisation, the reservoir water quality model Lac was used and linked with the THC model. Results and Discussion Modelling results for the simulation of temperature dynamics and density stratification showed a sufficient congruence with the measured temperature profiles. The conformity of measured and calculated salt concentration is basically ensured. The reservoir, which fill with higher saline water at the end of the summer, aggravates the entrainment of high saline water in the entire water column. Conclusions The current conventional operation regime mainly leads to filling the Kaparas reservoir with high saline water during the winter months. Even in the event of starting with comparable low salinity levels, the simulation demonstrates the rapid deterioration of the reservoir water quality. Under dry year conditions, the WHO standards for drinking water will be exceeded by 30% after two years, so that the impact of dry years in the context of water stress becomes visible. Recommendations and Outlook Processed data and results are now available to identify enhanced reservoir operation strategies for salinity reduction by changing the period of reservoir filling and release, as well as to initiate a detailed analysis of how water deficits in dry years may be reduced by improved operation regimes. Using adapted and enhanced operation rules for THC reservoirs, the local population within the lower Aral Sea basin might be supplied with more potable water of higher quality in future.     

Effect of typhoon with extreme precipitation on mountain reservoir drinking water treatment: a case study in Ningbo,China

Due to frequent drinking water pollution accidents in the past decade, it is common that mountain reservoirs were used as the source of drinking water in China. However, some coastal areas frequently suffer from typhoon with extreme precipitation, which results in the water quality deterioration of the reservoirs. The influence of typhoons with extreme precipitation on Jiaokou reservoir and the emergency treatment process of Maojiaping water treatment plant in the past three typical typhoons with extreme precipitation from the year of 2012–2015 were studied. It was found that the degradation of water quality, such as the increase of turbidity and bacteria index, may not merely appear during the events, but last for several days. Changing the dosage of water purification agent, such as coagulant and disinfectant at right time and place may be an efficient emergency water treatment process. Based on the analysis of water quality variation rule during and after the events, it was also found that emergency treatment can be fully prepared before the arrival of a typhoon with extreme precipitation. And in order to better respond to the typhoon with extreme precipitation, several suggestions are also proposed in this paper as follows: establishing vegetated buffers at right place, such as macrophanerophytes, shrub or herbage, increasing investments in infrastructure management, merging or cancelling the small-scale water treatment plants, preparing adequate water purification agent before the typhoon comes, etc.