Sources of river flow formation in the zone of permafrost: estimation by the methods of tracer hydrology according to the data of regime hydrochemical observations.

2018 ◽  
Keyword(s):  
River Flow ◽  
Flow Formation ◽  
Tracer Hydrology

scholarly journals A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers

2019 ◽  
Vol 23 (1) ◽  
pp. 73-91 ◽  
Author(s):  
Theano Iliopoulou ◽  
Cristina Aguilar ◽  
Berit Arheimer ◽  
María Bermúdez ◽  
Nejc Bezak ◽  
...  
Keyword(s):  
River Flow ◽  
Frequency Estimation ◽  
Low Flow ◽  
Time Lags ◽  
Low Flows ◽  
Flow Formation ◽  
Gaussian Probability Distribution ◽  
High Flows ◽  
Seasonal Correlation ◽  
Seasonal Streamflow

Abstract. The geophysical and hydrological processes governing river flow formation exhibit persistence at several timescales, which may manifest itself with the presence of positive seasonal correlation of streamflow at several different time lags. We investigate here how persistence propagates along subsequent seasons and affects low and high flows. We define the high-flow season (HFS) and the low-flow season (LFS) as the 3-month and the 1-month periods which usually exhibit the higher and lower river flows, respectively. A dataset of 224 rivers from six European countries spanning more than 50 years of daily flow data is exploited. We compute the lagged seasonal correlation between selected river flow signatures, in HFS and LFS, and the average river flow in the antecedent months. Signatures are peak and average river flow for HFS and LFS, respectively. We investigate the links between seasonal streamflow correlation and various physiographic catchment characteristics and hydro-climatic properties. We find persistence to be more intense for LFS signatures than HFS. To exploit the seasonal correlation in the frequency estimation of high and low flows, we fit a bi-variate meta-Gaussian probability distribution to the selected flow signatures and average flow in the antecedent months in order to condition the distribution of high and low flows in the HFS and LFS, respectively, upon river flow observations in the previous months. The benefit of the suggested methodology is demonstrated by updating the frequency distribution of high and low flows one season in advance in a real-world case. Our findings suggest that there is a traceable physical basis for river memory which, in turn, can be statistically assimilated into high- and low-flow frequency estimation to reduce uncertainty and improve predictions for technical purposes.

scholarly journals An opportunity of application of excess factor in hydrology

2012 ◽  
Vol 9 (12) ◽  
pp. 13635-13649 ◽  
Author(s):  
V. Kovalenko ◽  
E. Gaidukova ◽  
A. Kachalova
Keyword(s):  
Stochastic Model ◽  
River Flow ◽  
Large Error ◽  
Hydrological Processes ◽  
Multiplicative Noises ◽  
Flow Formation ◽  
Thick Tails ◽  
Engineering Hydrology

Abstract. In last few years in hydrology an interest to excess factor has appeared as a reaction to unsuccessful attempts to simulate and predict evolving hydrological processes, which attributive property is statistical instability. The article shows, that the latter has a place at strong relative multiplicative noises of probabilistic stochastic model of a river flow formation, phenomenological display of which are "the thick tails" and polymodality, for which the excess factor "answers", by being ignored by a modern hydrology in connection to the large error of its calculation because of insufficient duration of lines of observation over a flow. However, it is found out, that the duration of observation of several decades practically stabilizes variability of the excess factor, the error of which definition appears commensurable with an error of other calculated characteristics used in engineering hydrology.

Integral assessment of climate impact on the transboundary Mesta River flow formation in Bulgaria

2006 ◽  
Vol 127 (1-3) ◽  
pp. 383-388 ◽  
Author(s):  
Ivan K. Diadovski ◽  
Maya P. Atanassova ◽  
Ivan S. Ivanov
Keyword(s):  
River Flow ◽  
Climate Impact ◽  
Flow Formation ◽  
Integral Assessment

scholarly journals A large sample analysis of seasonal river flow correlation and its physical drivers

2018 ◽  
Author(s):  
Theano Iliopoulou ◽  
Cristina Aguilar ◽  
Berit Arheimer ◽  
María Bermúdez ◽  
Nejc Bezak ◽  
...  
Keyword(s):  
River Flow ◽  
Frequency Estimation ◽  
Flow Distribution ◽  
Flood Frequency ◽  
Low Flow ◽  
Time Lags ◽  
Flow Formation ◽  
The One ◽  
Seasonal Correlation ◽  
Seasonal Streamflow

Abstract. The geophysical and hydrological processes governing river flow formation exhibit persistence at several timescales, which may manifest itself with the presence of positive seasonal correlation of streamflow at several different time lags. We investigate here how persistence propagates along subsequent seasons and affects low and high flows. We define the High Flow Season (HFS) and the Low Flow Season (LFS) as the three-month and the one-month periods which usually exhibit the higher and lower river flows, respectively. A dataset of 224 European rivers spanning more than 50 years of daily flow data is exploited. We compute the lagged seasonal correlation between selected river flow signatures, in HFS and LFS, and the average river flow in the antecedent months. Signatures are peak and average river flow for HFS and LFS, respectively. We investigate the links between seasonal streamflow correlation and various physiographic catchment characteristics and hydro-climatic properties. We find persistence to be more intense for LFS signatures than HFS. To exploit the seasonal correlation in flood frequency estimation, we fit a bivariate Meta-Gaussian probability distribution to peak HFS flow and average pre-HFS flow in order to condition the peak flow distribution in the HFS upon river flow observations in the previous months. The benefit of the suggested methodology is demonstrated by updating the flood frequency distribution one season in advance in real-world cases. Our findings suggest that there is a traceable physical basis for river memory which in turn can be statistically assimilated into flood frequency estimation to reduce uncertainty and improve predictions for technical purposes.

HYDRAULIC SUBSTANTIATION OF WATER RESOURSES MANAGEMENT IN THE UPPER PART OF THE DNIEPER BASIN

2020 ◽  
pp. 99-106
Author(s):  
V.I. KLEPOV ◽  
◽  
P.D. DYUKOV ◽  
Keyword(s):  
Soviet Union ◽  
Water Resources ◽  
River Flow ◽  
Environmental Problems ◽  
Point Of View ◽  
The Black Sea ◽  
The Soviet Union ◽  
Flow Formation ◽  
Surrounding Areas ◽  
High Level

The Dnieper river is one of the largest rivers in Europe. It is the fourth largest river in terms of basin area and length after the Volga, Danube and Ural, and the second largest of the rivers that flow into the Black sea, after the Danube. From the point of view of territorial distribution of water resources, the Dnieper basin can be divided into two zones. The first zone includes the Russian and Belarusian parts of the basin, which is a zone of river flow formation. It is characterized by an insufficiently high level of water resources use. The second zone, which is a part of the Ukrainian part of the river basin, is characterized by a small inflow of water from tributaries and a high level of water resources use. Rivers, watercourses of which run through the territory of two or more states, are called as transboundary. Different sections of the same river are used by different states, and the use of water resources and catchment area in the upper reaches of the river will affect the quantitative and qualitative parameters of water downstream. This means that the unified environmental system is divided by a state border and is managed in each individual state at its discretion. This affects the river and surrounding areas. After the collapse of the Soviet Union, the problem of transboundary water bodies became very relevant for Russia. Neighboring countries have faced a number of environmental problems in border territories and transboundary river basins, where environmental problems have persisted and often worsened, but the institutional framework for their effective solution has been lost

The Features of the Cyclical Fluctuations, Homogeneity and Stationarity of the Average Annual Flow of the Southern Buh River Basin

2017 ◽  
Vol 17 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Tetiana Bauzha ◽  
Liudmyla Gorbachova
Keyword(s):  
River Basin ◽  
River Flow ◽  
Regional Climate ◽  
Climatic Conditions ◽  
Statistical Parameters ◽  
Average Value ◽  
Cyclical Fluctuations ◽  
Flow Formation

Abstract In the last decades, according to researches of scientists of the world becomes more evident that the global and regional climate changes impact on the water regime of rivers and leads to break of the stationarity of observations series. In this study we analysed the long-term (since the beginning of the observations to 2012) average annual flow of the Southern Buh River Basin (37 gauging stations) and its cyclical fluctuations during a long period of time. The methodological approaches based on the using of hydro-genetic methods for estimation the homogeneity and stationarity of hydrological series were used. We researched that series of observations are homogeneous and stationary. However, not all series of observations were representative for determination of the stable average value. The presented results illustrate that the long-term fluctuations of the average annual flow at all gauging stations is synchronous. Therefore, the climatic conditions of the flow formation are homogeneous. However, these fluctuations are not always synchronous phase. We found out that the average annual flow in this basin fluctuates and has decreasing trend in the last decade. It is due to cyclical fluctuations of the river flow. We calculated the statistical parameters for all gauging stations.

ECOLOGY AND SUSTAINABLE DEVELOPMENT IN LOCAL BUSINESS:SIMULATION OF LOW IMPACT DEVELOPMENT IN SURAKARTA REGENCY

2018 ◽  
Vol 4 (1) ◽  
pp. 32-38
Author(s):  
Bhimo Rizky Samudro ◽  
Yogi Pasca Pratama
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
River Flow ◽  
Low Impact Development ◽  
Development Model ◽  
Business Activity ◽  
Resources Management ◽  
Central Java ◽  
Specific Culture ◽  
Central Java Province

This paper will describe the function of water resources to support business activities in Surakarta regency, Central Java province. Surakarta is a business city in Central Java province with small business enterprises and specific culture. This city has a famous river with the name is Bengawan Solo. Bengawan Solo is a River Flow Regional (RFR) to support business activities in Surakarta regency. Concious with the function, societies and local government in Surakarta must to manage the sustainability of River Flow Regional (RFR) Bengawan Solo. It is important to manage the sustainability of business activity in Surakarta regency.   According to the condition in Surakarta regency, this paper will explain how the simulation of Low Impact Development Model in Surakarta regency. Low Impact Development is a model that can manage and evaluate sustainability of water resources in River Flow Regional (RFR). Low Impact Development can analys goals, structures, and process water resources management. The system can also evaluate results and impacts of water resources management. From this study, we hope that Low Impact Development can manage water resources in River Flow Regional (RFR) Bengawan Solo.  

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