Projecting Changes in Russian Northern River Runoff due to Possible Climate Change during the 21st Century: A Case Study of the Northern Dvina,Taz and Indigirka Rivers

Water Resources - Projected changes in river runoff due to possible climate change during the 21st century were simulated with making use of a physically-based land surface model SWAP and...     

Runoff of Russian Rivers under Current and Projected Climate Change: a Review 2. Climate Change Impact on the Water Regime of Russian Rivers in the XXI Century

Water Resources - The present overview is the second part of the article “Runoff of Russian Rivers Under Current and Projected Climate Change: A Review,” which focuses on modern...     

Runoff evaluation for ungauged watersheds by SWAP model. 1. Application of artificial neural networks

The potentialities of artificial neural networks are studied as applied to estimating key model parameters required for calculating river runoff by SWAP model in the case of ungauged watersheds. The examined geographic objects were 323 experimental watersheds of MOPEX project. The quality of model parameter estimates based on ANNs with different architecture was analyzed.     

Streamflow of Russian Rivers under Current and Forecasted Climate Changes: A Review of Publications. 1. Assessment of Changes in the Water Regime of Russian Rivers by Observation Data

Water Resources - Publications on changes in river water regime in Russia under the conditions of current climate changes are reviewed. Most recent generalizations of such publications are...     

World Reservoirs: Analysis of Quantitative Characteristics and Their Effect on the Structure of Long-Term Runoff Variations of Regulated Rivers

Water Resources - Data on 388 world reservoirs and changes in the annual, maximal, and minimal runoff in the rivers they regulate at the same number of gages have been generalized over 102 items...     

Effect of Present-Day Climate Changes and Agricultural Activities on Spring Overland Runoff in Forest-Steppe and Steppe Regions of the Russian Plain

Space and time analysis of the formation of spring overland runoff in forest-steppe and steppe regions of the Russian Plain has been carried out. It has been shown that, in addition to zonal climate conditions, its distribution over the area is largely determined by the agricultural load on river catchment areas, primarily, the structure of agricultural lands—the proportions of areas under winter tillage and consolidated tillage. The character of overland runoff response to present-day climate changes and agricultural activity has been identified, and quantitative estimates have been given to the manifold hydrological role of these factors.     

River runoff evaluation for ungauged watersheds by SWAP model. 2. Application of methods of physiographic similarity and spatial geostatistics

The efficiency of the methods of spatial proximity and geostatistics, as well as physico-geographic similarity, is studied as applied to the evaluation of the key model parameters of ungauged watersheds to be used in river runoff calculation by SWAP model. The target geographic objects were 323 experimental watersheds of MOPEX project. The quality of model parameter estimates and reproduction of river runoff hydrographs was analyzed in the case of the use of different similarity methods, and the order of decisions to be made was developed for the problem of river runoff calculation from an ungauged watershed for the entire area under study.     

Variations of the Present-Day Annual and Seasonal Runoff in the Far East and Siberia with the Use of Regional Hydrological and Global Climate Models

A method of spatial calibration and verification of regional numerical physically based models of river runoff formation, incorporating runoff formation processes in the main river channel and its tributaries, was used to obtain a statistical estimate of the quality of river runoff calculation by conventional and alternative criteria focused on runoff reproduction in different phases of water regime and the characteristics of its variations. The analysis of the simulation quality of the annual and mean monthly river runoff (average runoff, standard deviation, and the coefficient of variation) at the near-mouth gages over the historical period with boundary conditions represented by data of global climate models showed the results to be satisfactory. This allows the proposed combination of climate and hydrological models to be used to study physically based regional variations of water regime under different physiographic and climatic conditions in the examined river basins with flood runoff regime (the Amur R.) and the predominant snowmelt runoff during spring flood (the Lena R.).     

论全球地震面波层析成像的参数化与样条插值模型

本文的参数化方法考虑不完全依赖数据分布的基函数的构造方法。借助函极小问题与样条插值问题的密切联系,得到了样条函数形式的参数化方法,即样条插值模型,样条插值模型是著名的Ｂａｃｋｕｓ－Ｇｉｌｂｅｒｔ模型在球面情形的推广。     

A comparison of MODIS and NOHRSC snow‐cover products for simulating streamflow using the Snowmelt Runoff Model

Remote sensing is an important source of snow‐cover extent for input into the Snowmelt Runoff Model (SRM) and other snowmelt models. Since February 2000, daily global snow‐cover maps have been produced from data collected by the Moderate Resolution Imaging Spectroradiometer (MODIS). The usefulness of this snow‐cover product for streamflow prediction is assessed by comparing SRM simulated streamflow using the MODIS snow‐cover product with streamflow simulated using snow maps from the National Operational Hydrologic Remote Sensing Center (NOHRSC). Simulations were conducted for two tributary watersheds of the Upper Rio Grande basin during the 2001 snowmelt season using representative SRM parameter values. Snow depletion curves developed from MODIS and NOHRSC snow maps were generally comparable in both watersheds: satisfactory streamflow simulations were obtained using both snow‐cover products in larger watershed (volume difference: MODIS, 2·6%; NOHRSC, 14·0%) and less satisfactory streamflow simulations in smaller watershed (volume difference: MODIS, −33·1%; NOHRSC, −18·6%). The snow water equivalent (SWE) on 1 April in the third zone of each basin was computed using the modified depletion curve produced by the SRM and was compared with in situ SWE measured at Snowpack Telemetry sites located in the third zone of each basin. The SRM‐calculated SWEs using both snow products agree with the measured SWEs in both watersheds. Based on these results, the MODIS snow‐cover product appears to be of sufficient quality for streamflow prediction using the SRM in the snowmelt‐dominated basins. Copyright © 2005 John Wiley & Sons, Ltd.     

Effect of Individual Phenolic Compounds and of Their Mixtures on Luminous Bacteria. Part 2: Interaction of p- and o-Diphenol Toxicity for Beneckea harveyi with Their Oxidation

Experimental material was obtained supporting a hypothesis on the interaction between p- and o-diphenol toxicity and their oxidation. It is shown that quinones – the products of pyrocatechol and hydroquinone oxidation – possess increased toxicity towards luminous bacteria cells.     

Understanding of the Common Land Model performance for water and energy fluxes in a farmland during the growing season in Korea

The Common Land Model (CLM) is one of the most widely used land surface models (LSMs) due to the practicality of its simple parameterization scheme and its versatility in embracing a variety of field datasets. The improved assessment of land surface water and energy fluxes using CLM can be an alternative approach for understanding the complex land–atmosphere interactions in data‐limited regions. The understanding of water and energy cycles in a farmland is crucial because it is a dominant land feature in Korea and Asia. However, the applications of CLM to farmland in Korea are in paucity. The simulations of water and energy fluxes by CLM were conducted against those from the tower‐based measurements during the growing season of 2006 at the Haenam site (a farmland site) in Korea without optimization. According to the International Geosphere–Biosphere Programme (IGBP) land cover classification, a homogeneous cropland was selected initially for this study. Although the simulated soil moisture had a similar pattern to that of the observed, the former was relatively drier (at 0·1 m³ m^?3) than the latter. The simulated net radiation showed good agreement with the observed, with a root mean squared error (RMSE) of 41 W m^?2, whereas relatively large discrepancies between the simulation and observation were found in sensible (RMSE of 66 W m^?2) and latent (RMSE of 60 W m^?2) heat fluxes. On the basis of the sensitivity analysis, soil moisture was more receptive to land cover and soil texture parameterizations when compared to soil temperature and turbulent fluxes. Despite the uncertainty in the predictive capability of CLM employed without optimization, the initial performance of CLM suggests usefulness in a data‐limited heterogeneous farmland in Korea. Further studies are required to identify the controls on water and energy fluxes with an improved parameterization. Copyright © 2010 John Wiley & Sons, Ltd.     

Application of Water Quality Index and Water Quality Model QUAL2K for Evaluation of Pollutants in Dez River,Iran

Water Resources - Dez River in Iran is a long river and has generally good-quality water. Unfortunately, in this river water quality has decreased over recent years due to drought, industrial and...     

A Recent Application of the ETAS Model and a Proposed Method for Prediction of Strong Aftershocks

In this paper, 28 aftershock sequences are selected, which are distributed in different areas including north China, southwest of China, northwest of China, Taiwan area, Turkey and Greece. In order to investigate the characteristics of these sequences along with different temporal and spatial coordinates, each sequence has been divided into dozens of segments called ``sub-sequences''. The ETAS (Epidemic Type Aftershock Sequences) model is applied to each ``sub-sequence'', and therefore the vectors of parameters of ETAS could be evaluated. Another model named LR (Logistic Regression) model is used to seek the correlate relation between the parameters of ETAS applied to every earthquake ``sub-sequence'' and seismicity. All the analyses and estimations imply that the characteristic of decay of aftershock sequences in different temporal and spatial domains seems to be characterized by the parameters of the ETAS model applied to some aftershock sequences or ``sub-sequences'', and there are some proportional correlate relations between the evaluation of LR model and the occurrence probability of the succeeding strong seismic energy release.     

Methods of Analyzing Quinones in Water and Their Application in Studying the Effects of Hydrophytes on Phenols. Part 3: Phenol Elimination under the Action of Aquatic Plants

In two test series, for which 10 and 2 … 4 g/1 wet matter of higher and lower aquatic plants from the lake Baikal and from the waters in the surroundings of Irkutsk were used, phenol solutions having concentrations of 10^?3 … 10^?5 M (1 … 5 mg/1) were applied. During the investigations the possible error clue to the presence of microorganisms was eliminated. The phenol decomposition by aquatic plants proceeds as a first-order reaction. The results of analyses are summarized in several tables and graphical representations.     

Methods of Analyzing Qninones in Water and Their Application in Studying the Effects of Hydrophytes on Phenols. Part 1: Quinone Determination with Benzene Sulfinic Acid

By the example of some phenols and qninones, in aqueous solutions possibilities for the quantitative determination are tested separately and in the mixture. Methods for thin-layer chromatography and spectrophotometry were developed. There can be chromatographically deteeted between 5 and 80 μg of substance. Phenol and quinone concentrations of 1.5 · 10^?3 … 0.5 · 10^?4 M were spectrophotometrically investigated.