The Efficiency of Water Resources Management in Volga Basin

The main characteristics of the socioeconomic development of Volga basin are given. Data on the use of water resources and the development of economic branches in the basin in 1980–2002 are analyzed. The dynamics of variations in the efficiency indices of water use in industry, agriculture and municipal economy in the upper, middle, and lower Volga.     

Assessing Arkansas Ground Water for Pesticides: Methodology and Findings

During 1985 to 1987, 119 wells, Springs and municipal drinking water supplies throughout Arkansas were monitored for the presence of pesticides. Pesticides selected for analysis included acifluorfen, alachlor, aldicarb, atrazine, benomyl, cyanazine, cypermethrin, 2,4-D, dichlorprop, diuron, fenvalerate, fluometuron, hexazinone, linuron, metolachlor, permethrin, picloram, and propanil. Not every sample was analyzed for every pesticide. Overall, results indicated that the 18 herbicides, fungicides, and insecticides were not present in the ground water samples studied. (Note: Detectable concentrations of three herbicides – alachlor, atrazine, and metolachlor – were found in one irrigation well, at 5.5,5.8, and 6.9 μg/L, respectively. However, since previous and subsequent sampling failed to detect these compounds, their presence is attributed to a localized spill or handling error rather than agricultural application.)     

An Analysis of Low-Flow Ground Water Sampling Methodology

Low-flow ground water sampling methodology can minimize well disturbance and aggravated colloid transport into samples obtained from monitoring wells. However, in low hydraulic conductivity formations, low-flow sampling methodology can cause excessive drawdown that can result in screen desaturation and high ground water velocities in the vicinity of the well, causing unwanted colloid and soil transport into ground water samples taken from the well. Ground water velocities may increase several fold above that of the natural setting. To examine the drawdown behavior of a monitoring well, mathematical relationships can be developed that allow prediction of the steady-state drawdown for constant low-flow pumping rates based on well geometry and aquifer properties. The equations also estimate the time necessary to reach drawdown equilibrium. These same equations can be used to estimate the relative contribution of water entering a sampling device from either the well standpipe or the aquifer. Such equations can be useful in planning a low-flow sampling program and may suggest when to collect a water sample. In low hydraulic conductivity formations, the equations suggest that drawdown may not stabilize for well depths, violating the minimal drawdown requirement of the low-flow technique. In such cases, it may be more appropriate to collect a slug or passive sample from the well screen, under the assumption that the water in the well screen is in equilibrium with the surrounding aquifer.     

Water Resources of the Crimea

Crimean water resources are limited, failing to fully meet the drinking and economic needs of the region. Over 50 years, the problems of water resources in Crimea were solved by using Dnieper water supplied through North-Crimean Canal; however, after the integration of Crimea into Russia, Ukraine suspended water supply. At the aggravation of political situation between Russia and Ukraine, the situation in the water-management sphere in the Republic of Crimea looks very complicated. The water-management problems of Crimea should be solved based on its own potential. Groundwater resources are the leading factor of sustainable development of Crimean Region at the present stage.     

青海湖水量平衡分析与水资源优化配置研究

在充分收集有关资料的基础上研究青海湖1959-2000年间降水径流蒸发湖泊水位地下水补给量的动态变化建立水量平衡分析方程.青海湖水位在波动中持续下降42年来年平均水位累计下降了 3.32 m平均每年下降了0.079 m近年来下降的幅度减小. 同时青海湖储水量不断减少而湖区降水呈增加的趋势河川径流量地下水的入湖补给量 蒸发量呈现下降的趋势. 根据青海湖水平衡分析计算结果预测2010年青海湖流域耗水量将达1.27108m3为维护生态平衡和社会经济持续发展需要跨流域调水量引大济湖4.1108m3.     

Concept of Water Resources System Management Based on the Combined Use of Surface and Subsurface Waters

A conceptual basis is proposed for the solution of management problem of water economy systems based on the combined use of surface and subsurface waters. Specific features of the development of groundwater deposits in the context of this problem are discussed. Management of cooling systems of power plants based on the combined management of surface and subsurface water resources is considered as an example.     

Strategies for Transforming Fine Scale Knowledge to Management Usability

Simulation tools used for management purposes should fulfill several conditions by being computationally fast, user-friendly, realistic, generic and reliable. These traits are often counteracting since they simultaneously demand for model complexity as well as simplicity. Here we develop a strategy to overcome this general problem of environmental modelling for management use. Major ingredients are model analysis and reduction as new core components of the modelling process. In detail, a set of combined methods is proposed. Within a large class of models the set allows for automatically exploring model behaviour and for aggregating fine scale process knowledge together with spatio temporal resolution. Applications to a huge aquatic European regional seas ecosystem model (ERSEM), a complex photosynthesis model (PGEN) as well as a simple diagenetic model are presented. The analysis and aggregation methods provide first steps towards a new generation of decision support tools able to cope with an increase in scientific knowledge as well as management demands.     

Sampling Strategies for Estimation of Parameters Related to Ground Water Quality

Multiple theoretical sampling designs are studied to determine whether sampling designs can be identified that will provide for characterization of ground water quality in rural regions of developing nations. Sampling design in this work includes assessing sampling frequency, analytical methods, length of sampling period, and requirements of sampling personnel. The results answer a set of questions regarding whether using innovative sampling designs can allow hydrogeologists to take advantage of a range of characterization technologies, sampling strategies, and available personnel to develop high-value, water-quality data sets. Monte Carlo studies are used to assess different sampling strategies in the estimation of three parameters related to a hypothetical chemical observed in a ground water well: mean concentration (MeanC), maximum concentration (MaxC), and total mass load (TML). Five different scenarios are simulated. These scenarios are then subsampled using multiple simulated sampling instruments, time periods (ranging from 1 to 10 years), and sampling frequencies (ranging from weekly to semiannually to parameter dependent). Results are analyzed via the statistics of the resulting estimates, including mean square error, bias, bias squared, and precision. Results suggest that developing a sampling strategy based on what may be considered lower quality instruments can represent a powerful field research approach for estimating select parameters when applied at high frequency. This result suggests the potential utility of using a combination of lower quality instrument and local populations to obtain high frequency data sets in regions where regular monitoring by technicians is not practical.     

Water Resources of Natural and Artificial Water Bodies in Europe

Water Resources - The reserves of natural and artificial water bodies in Europe were evaluated using a new procedure which had been developed for Russian territory and upgraded for the territories...     

A Methodology for Clustering Lakes in Alberta on the basis of Water Quality Parameters

In this study, a methodology for clustering 18 lakes in Alberta, Canada using the data of 19 water quality parameters for a period of 11 years (1988–2002) is presented. The methods consist of (i) principal component analysis (PCA) to determine the dominant water quality parameters, (ii) cluster analysis techniques to develop the characteristics of the clusters, and (iii) pattern‐match lakes to determine the appropriate cluster for each of the lakes. The PCA revealed that three principal components (PCs) were able to explain ～88% of the variability and the dominant water quality parameters were total dissolved solids, total phosphorus, and chlorophyll‐a. We obtained five clusters for the period 1994–1997 by using the dominant parameters with water quality deteriorating as the cluster number increased from 1 to 5. Upon matching cluster patterns with the entire dataset, it was observed that some of the lakes belonged to the same cluster all the time (e.g., cluster 1 for lakes Elkwater, Gregg, and Jarvis; cluster 3 for Sturgeon; cluster 4 for Moonshine; and cluster 5 for Saskatoon), while others changed with time. This methodology could be applied in other regions of the world to identify the most suitable source waters and prioritize their management. It could be helpful to analyze the natural controlling processes, pollution types, impact of seasonal changes and overall quality of source waters. This methodology could be used for monitoring water bodies in a cost effective and efficient way by sampling only less number of dominant parameters instead of using a large set of parameters.