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Ecological Regionalization Methods of Oil Producing Areas

100%

Pivovarova I. , Makhovikov A.

Journal of Ecological Engineering

2017

tom Vol. 18, nr 1

35--41

The paper analyses territory zoning methods with varying degrees of anthropogenic pollution risk. The summarized results of spatial analysis of oil pollution of surface water in the most developed oil-producing region of Russia. An example of GIS-zoning according to the degree of environmental hazard is presented. All possible algorithms of cluster analysis are considered for isolation of homogeneous data structures. The conclusion is made on the benefits of using combined methods of analysis for assessing the homogeneity of specific environmental characteristics in selected territories.

Use of MLCM3 Software for Flash Flood Modeling and Forecasting

61%

Sokolova D. , Kuzmin V. , Batyrov A. , Pivovarova I. , Tran N. A. , Dang D. , Shemanaev K. V.

Journal of Ecological Engineering

2018

tom Vol. 19, nr 1

177--185

Accurate and timely flash floods forecasting, especially, in ungauged and poorly gauged basins, is one of the most important and challenging problems to be solved by the international hydrological community. In changing climate and variable anthropogenic impact on river basins, as well as due to low density of surface hydrometeorological network, flash flood forecasting based on “traditional” physically based, or conceptual, or statistical hydrological models often becomes inefficient. Unfortunately, most of river basins in Russia are poorly gauged or ungauged; besides, lack of hydrogeological data is quite typical. However, the developing economy and population safety necessitate issuing warnings based on reliable forecasts. For this purpose, a new hydrological model, MLCM3 (Multi-Layer Conceptual Model, 3rd generation) has been developed in the Russian State Hydrometeorological University. The model showed good results in more than 50 tested basins.