Water quality analysis and simulation

The actuality of the study is caused by the needs of water resources state assessment, which natural supply is insufficient. The article analyzes the quality of surface water and groundwater using processed statistical data and the results of mathematical modeling in the GIS environment. The results showed that the quality of water sources under current anthropogenic load is normal, but subsequent monitoring of the situation is required. There is no significant relationship between the quality of surface water and groundwater

Water deficits in the water economics complex of Crimea

In recent years, the natural and economic situation in the Republic of Crimea has developed in such a way that the amount of available water resources is less than the amount of water necessary for the socio-economic development of the peninsula. This article considers one of the main water management hazards for the territory of Crimea: a lack of water. The aim of this study was to assess the water deficit and determine ways to minimize the impact of risk exposures on the population, the economy and the ecosystem as a whole. Options are provided to ensure that (1) the water economic complex supplies water to consumers in sufficient quantity and quality, and (2) the ecological status of water bodies is maintained at a high level. For example, local wastewater treatment and desalination of sea water can be used in agro-industry and the water economic complex both for individual agricultural producers and for large enterprises. The economic efficiency of the use of technologies to reduce the environmental threats of the water economic complex was assessed using technologies to increase water availability. The analysis of the quality of water resources is given, and options for improving the indicators of raw water-pipe water are proposed

Approaches for evaluation of relief morphometric characteristics influence on spatial distribution of moisture in the soils of steppe part of Crimea

Data on soil moisture reserves are the basis for decision-making in the agricultural boghara system, because it determines the development of agricultural crops potential, terms of top-dressing and additional fertilizing, and makes it possible to predict yield of agricultural crops. In this article the influence of relief morphometric characteristics on the distribution of precipitation over the territory was studied. The research area is the land of the eastern part of Klepininsky rural settlement of Krasnogvardeysky district, the central part of Crimean Peninsula. The article considers approaches, divided into 2 main categories (according to the type of data used), based on the use of GIS capabilities and remote sensing data, to analyze the soil water content (SWC) using the example of research area and relationship of this parameter to the terrain relief. It was established that the morphometric characteristics of relief affect the amount of soil moisture

SWAT modeling of the soil properties in GIS-environment: initial calculations

The problem of soil parameters modeling and input data preparation are considered in the article. The use of Soil and Water Assessment Tool was analyzed. The question of the soil water content and basic soil agronomic characteristics was considered. The SWAT project was created for the period of 2014-2017 years and could be prolonged. A soil map and cartographic information were digitized for the analysis of soil characteristics. An assessment of soils moisture absorption in different key areas was made in the course of the research

Water quality analysis and simulation

The actuality of the study is caused by the needs of water resources state assessment, which natural supply is insufficient. The article analyzes the quality of surface water and groundwater using processed statistical data and the results of mathematical modeling in the GIS environment. The results showed that the quality of water sources under current anthropogenic load is normal, but subsequent monitoring of the situation is required. There is no significant relationship between the quality of surface water and groundwater

Estimating some hydrophysical properties of soil using mathematical modeling

At substantiating land amelioration and land management designs, as well as during periods of operation and reconstruction of water facilities, information support plays an important role in relation to the hydrophysical properties of soil. Effective implementation of this support faces a number of challenges. Such problems include the very high laboriousness of carrying out the corresponding engineering surveys and laboratory studies. In this regard, the methods of indirect estimating the hydrophysical properties, the measurement of which requires considerable labor, are very in demand for land amelioration and land management practices. An equally acute problem is the problem of the functional representation of the coefficients of the Richards equation, which is widely used in engineering-hydrological calculations. The paper suggests: 1) the original method for assessment of the ratio of the values of the hydraulic conductivity function of soil to the moisture filtration coefficient using data from direct measurements of the water-retention capacity of soil carried out according to the standard procedure; 2) the mathematical model describing the hydrophysical properties of soil, and the system of functions with interpreted parameters that physically adequately describe the coefficients of the Richards equation. In carrying out the study, data on soils of different texture were used. A sufficiently low error in the dot approximation (fitting-procedure) of the experimental data confirms the physical adequacy of the proposed system that includes the functions describing the coefficients of the Richards equation

Five models of hysteretic water-retention capacity and their comparison for sandy soil

A description of five mathematical models of the water-retention capacity of soil is given, taking into account the hysteresis phenomena. A computational experiment was carried out with these models using data on sandy soil. The experiment consisted of: (i) tuning of the models (parameter identification) by the method of dot-approximation of experimental data on the main drying and wetting branches of the hysteresis loop using an optimizing algorithm; (ii) the predictive calculation of the scanning branches of the hysteresis loop; (iii) a comparison of the errors in tuning results and the predictive calculation using the Williams-Kloot criteria. The commensurate and sufficiently low errors in the adjustment of the models have been achieved. The differences in the calculation of the scanning hysteresis branches are revealed. The practical significance of the mathematical models presented is to ensure the calculation of precision irrigation rates. The application of such rates in irrigation farming will help to prevent excess moisture from flowing beyond the root layer of the soil under the influence of gravity and, thus, to minimize the losses (unproductive consumption) of irrigation water, fertilizers, meliorants and plant protection products, and also reduce the risk of groundwater contamination with agrochemicals and eutrophication of water bodies