Method Of Complex Assessment Research Articles

Quality detection and variety classification of pecan seeds using hyperspectral imaging technology combined with machine learning

Pecan (Carya illinoinensis K.), a well-known dried seed and woody oil tree, faces challenges in its industry due to complex quality assessment methods and confusing varieties. These challenges have seriously hampered the development of a large-scale pecan deep processing industry. This work aimed to apply hyperspectral imaging technology (HSI) combined with machine learning to evaluate the quality of pecan seeds and perform variety classification. The samples of this work were composed of 19 varieties of pecan seeds, with 30 seeds per variety. After spectral preprocessing, spectral features were extracted from the spectral profiles using feature extraction methods. Back-propagation neural network models and partial least squares models were established to predict the contents of crude fat and moisture in pecan seeds. Predictions of the best models gave good results with R2-score of 0.887 for the crude fat model and 0.950 for the moisture model. Additionally, support vector machine models were developed to identify pecan varieties. The model achieved good results in 19 pecan varieties identification with accuracy of 0.965. In conclusion, the combination of HSI and machine learning could be an effective tool in improving the pecan industry and providing sustainable and efficient methods in the production of pecan seeds.

The role of household energy consumption behavior in environmental policy outcomes —the case of driving restriction policy in zhengzhou

The evaluation of the environmental effects of the driving restriction policy often sparks widespread discussions in the literature due to its complex and controversial assessment methods. Fewer studies have delved into the exploration of household energy consumption behavior, the role played by the targeted subjects of policy implementation, and the policy's impact on climate change. This paper focuses on the case of Zhengzhou, a city in China, to thoroughly discuss the formulation process of the driving restriction policy. By utilizing publicly available statistical data and conducting surveys among 795 households, this research employs statistical methods such as regression discontinuity, difference-in-differences estimation, and improved causal stepwise regression to quantitatively estimate the environmental consequences of the driving restriction policy. It also examines the impact of changes in residents' consumption behavior on policy effects and climate change under this policy shock. The study aims at bridging the gap between environmental policy effects, individual behavior changes, and climate change research. Our findings indicate that the driving restriction policy is effective in the short term, significantly improving air quality. However, due to the stickiness of residents' household consumption behavior and the adaptive adjustments in long-term travel behavior, the pollution-reducing effects of the policy gradually weaken and even exacerbate air pollution, resulting in an additional increase of approximately 147,950 tons of carbon dioxide emissions after the policy had been implemented for nine months. Therefore, this paper further suggests that implementing environmental policies requires close coordination with adjustments in household energy consumption behavior.

Research on Nuclear Power Plant Operational Task Complexity Assessment Method Based on Group Decision Making and Deep Learning of EEG Signals

This study aims to explore the correlation between the operational task complexity of nuclear power plant (NPP) operators and electroencephalogram (EEG) features. Initially, we segmented EEG signals according to operational steps and extracted a total of 120 time domain, frequency domain, and time-frequency domain features. Subsequently, we applied an adaptive principal component analysis (PCA) dimensionality reduction method to process the features. On the other hand, three experts were invited to evaluate the complexity of the operational tasks, and their evaluation data were synthesized using a group decision-making approach. A correlation analysis was performed between these data and the PCA-reduced feature data, identifying the features with the highest correlation coefficient for each participant. Then we built a long short-term memory model with the data of the first group of participants to predict the task complexity value and tested it with the data of the second group of participants. Testing the model with data from the second group yielded favorable results, with a training set mean squared error (MSE) of 0.025 and a testing set MSE of 0.078. The results of this study indicate a significant correlation between specific EEG features and task complexity in the operational tasks of NPP operators. The model established through a combination of group decision making and machine learning methods effectively predicted the task complexity levels for operators in different operational tasks. This research provides a new perspective on NPP operators’ cognitive load and operational tasks, holding practical significance for operator training and workload management.

Analysis of long-term dynamics of morbidity by the method of complex assessment at different territorial levels

BACKGROUND: A comparative epidemiological analysis of the primary incidence of tuberculosis was performed using its standard approach with a generalized indicator that considers the main statistical criteria for incidence. The “sensitivity” of the method may vary depending on the population from analyzed territories.
 AIM: This study aimed to perform a comparative assessment of the epidemiology of tuberculosis (TB) in different territories based on the standard incidence rate and modified method of its integral assessment.
 MATERIALS AND METHODS: A retrospective study of the dynamics of the incidence of tuberculosis in the total population from the federal districts (FD) of Russia and participants from the Siberian Federal District (SFD) and urban municipalities of the Irkutsk Region (a structural unit of the SFD) between 2005 and 2019 was performed. Based on the obtained integral indicators, a generalized visibility coefficient was calculated.
 RESULTS: A significant decrease in the incidence of TB was found in all patients from FD and SFD participants. Assessment of the average long-term incidence rates showed that the maximum discrepancy between ranking places was inversely proportional to the size of the studied territories: 1.5 positions, at the level of the FD; two positions, at the level of regional formations; and five positions, at the level of urban settlements.
 CONCLUSIONS: The integral assessment method can be used in the primary analysis of morbidity in all types of infectious and noninfectious pathologies. The generalized morbidity criterion expands the informative possibilities of the standard indicator, contributes to the substantiation of risk areas at the initial stages of epidemiological analysis, and responds more “sensitively” to changes in the epidemiological situation in relatively small areas.

Method of complex assessment of on-board information and control systems on mining machines

Method of complex assessment of on-board information and control systems on mining machines

Air Traffic Complexity Assessment Based on Ordered Deep Metric

Since air traffic complexity determines the workload of controllers, it is a popular topic in the research field. Benefiting from deep learning, this paper proposes an air traffic complexity assessment method based on the deep metric of air traffic images. An Ordered Deep Metric (ODM) is proposed to measure the similarity of the ordered samples. For each sample, its interclass loss is calculated to keep it close to the mean of the same class and far from the difference. Then, consecutive samples of the same class are considered as a cluster, and the intracluster loss is calculated to make the samples close to the samples within the same cluster and far from the difference. Finally, we present the ODM-based air traffic complexity assessment method (ATCA-ODM), which uses the ODM results as the input of the classification algorithm to improve the assessment accuracy. We verify our ODM algorithm and ATCA-ODM method on the real traffic dataset of south-central airspace of China. The experimental results demonstrate that the assessment accuracy of the proposed ATCA-ODM method is significantly higher than that of the existing similar methods, which also proves that the proposed ODM algorithm can effectively extract high-dimensional features of the air traffic images.

INCLUSIVE PHYSICAL EDUCATION AS A TOOL FOR FORMING THE EDUCATIONAL ENVIRONMENT FOR STUDENTS WITH DISABILITIES

The article examines the role of physical education in the prevention of unsatisfactory adaptation to the learning process in a university. The purpose of the study is to identify the possibility of the discipline "Physical education" in the formation of adaptation to the educational environment of a university in students with disabilities through inclusive physical education. The research is based on the use of a complex of general scientific theoretical methods: analysis, synthesis, systematization, and generalization. It was established that inclusive physical education provides a special organization of the educational environment in a university, aimed at preventing existing negative trends in the health of students with disabilities, due to the process of adaptation, which involves technology and the organization of diagnostic and health facilities for students with disabilities. The main functions of inclusive physical education have been systematized, the implementation of which will ensure the prevention of unsatisfactory adaptation to the learning process in a university for students with disabilities: organizational and methodical, educational, correctional, educational and advisory, developmental. Among the main forms of physical improvement, it is necessary to use along with the main classes in physical education, integrated a small forms. In general, the success of the adaptation process to the educational environment for students with disabilities in the process of physical education is determined by the rational organization of methodical support aimed at strengthening the individual health of the participants in the pedagogical process, taking into account the individual characteristics of adaptation to physical loads, the step-by-step application of complex assessment methods and control. As a result, the idea of using the means of inclusive physical education as a tool for shaping the adaptation of students with disabilities to the educational environment of a university has been expanded. The latter involves the effective organization of physical education of students with disabilities for educating them in a responsible attitude to their health, and a healthy lifestyle; formation of knowledge and skills of physical culture; ensuring full-fledged physical development; physical, spiritual, and mental hardening; formation of the need for safe behavior, counteraction and prevention of negative habits, prevention of diseases; creation of conditions for active recreation in the conditions of study at a university.

Efficacy of Tibial Nerve Stimulation on Fecal Incontinence in Patients With Low Anterior Resection Syndrome Following Surgery for Colorectal Cancer.

Objective To systematically review the available literature on the efficacy of tibial nerve stimulation on faecal incontinence and quality of life in adult patients with low anterior resection syndrome following surgery for colorectal cancer.MethodsA primary search of electronic databases was conducted adopting a combination of search terms related to the following areas of interest: “efficacy”, “tibial nerve stimulation” and “low anterior resection syndrome”. A secondary search of the grey literature was performed in addition to checking the reference list of included studies and review papers. The review was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A descriptive analysis was used to integrate the review findings.ResultsFive distinct studies involving 116 patients met the inclusion criteria for the review. The included studies suggest that tibial nerve stimulation may have a positive effect on faecal incontinence and quality of life in some patients with low anterior resection syndrome and might be considered as an additional treatment option.ConclusionThere were a limited number of studies and a great degree of heterogeneity of evidence due to differences in participants’ baseline characteristics, dropout rates, and follow-up periods. Further research adopting validated, consistent, and complex outcome assessment methods is recommended to determine the efficacy of tibial nerve stimulation for treatment of patients with low anterior resection syndrome.

Assessment of the financial stability of the region

The article determines the need to assess the financial sustainability of the regional economy on the example of Donetsk region. The study is based on the development of methods and assessment criteria, which allow to determine the level of financial sustainability of the regional economy. The method of complex assessment, which allows most reliably assess the financial sustainability of the region on the basis of statistical data borrowed from official sources of statistics, has been chosen as an effective assessment tool. Characterization of the region allowed to analyze the processes taking place in the economy of the region. The assessment methodology presented by the author on the basis of financial and economic indicators made it possible to identify the state of the financial system of the regional economy. The application of the methodology of the complex assessment allowed determining the value of the integral index and classifying the level of financial sustainability of the economy of Donetsk region. According to the results of a comprehensive assessment of the financial sustainability of the economy on the example of Donetsk region has identified a number of problems affecting the stability of the financial system. As a solution, the author proposes a set of necessary measures to ensure the sustainable development of the financial system in the region's economy. The practical significance of the research lies in the possibility of applying the methods of assessment of the state and regional authorities and research results for further monitoring and adjustment of the regional policy, which will prevent crisis situations and improve the financial position of the regional economy.

Analysis of occupational injuries in the construction industry and ways to reduce it

Introduction . In the construction industry, there has recently been a positive trend towards a decrease in injury rates. The authors have identified the specific conditions of construction work as a source of occurrence of prerequisites for accidents. The paper provides the analysis of a statistical sample of data on accidents and occupational injuries in the construction industry, which shows that the sources of the vast majority of cases of industrial injuries are avoidable factors. Problem Statement . The objective of this study is to determine the relationship between the accident rate in the construction industry and several factors related to the education and qualifications of employees. Theoretical Part . As the basic information, the data of statistical reporting on occupational injuries provided by the Federal State Statistics Service, as well as materials from literary sources of domestic and foreign authors, were used. The method of complex assessment of the qualification of personnel is proposed. Conclusions . Functional dependences of the frequency of accidents at the enterprise on the criterion of qualification of personnel are determined. Based on the results obtained, it can be concluded that the level of education of employees of construction enterprises, the correspondence of their basic education to the profile of the enterprise's activities and the frequency of professional development positively affect the overall state of the occupational safety system at the enterprise, including the reduction in the number of accidents.

Complex Method of Airfield Pavement Condition Evaluation Based on APCI Index

Airfield infrastructure management should be effective. First of all, renovation works should be planned and carried out so that the equipment or resources, both financial and personal, are used optimally. The basis for planning funds should be knowledge about the actual pavement condition and, more importantly, the future pavement condition. The main goal of the paper is to present a complex method of technical condition assessment of airfield pavements made of cement and asphalt concrete, as well as natural pavements, which are part of the ground maneuvering field on each airfield. The authors propose a new method of assessing the technical condition of the pavement based on the Airfield Pavement Condition Index (APCI). Compared to existing methods, based mostly on the visual assessment of the pavement surface damages, the APCI method also includes the inventory of the repairs and diagnostic tests such as the assessment of the load capacity, evenness, anti-skid properties and the surface layer tensile bond strength. The presented mathematical models enable automation of pavement assessment process. That can lower costs and speed up whole evaluation.

Эффективный контракт как средство мониторинга профессиональных достижений научно-педагогического работника

Based on the analysis and generalization of research, the experience of implementing effective contracts in the activities of universities, the article provides a rationale for an effective contract as a means of monitoring the professional achievements of a scientific and pedagogical worker in the context of a comprehensive assessment of the effectiveness of the university. The purpose of the article is to reveal the historical roots of the implementation of an effective contract in the practice of higher educational institutions, to describe its functional purpose, main characteristics and implementation experience. The authors reveal the reasons for the transition of universities to a criterion assessment of the effectiveness of the professional activities of scientific and pedagogical workers, the concept and principles of the development and implementation of an effective contract are given, variations in the criteria and indicators of teachers' performance reflected in an effective contract, as well as mechanisms for their provision and accounting are presented. The study allows you to develop an understanding of an effective contract as a method of objective complex assessment of the results of scientific and pedagogical work and an innovative mechanism of educational management.
 The research materials deepen the understanding of monitoring the professional activity of a scientific and pedagogical worker in the context of globalization, which complements the existing scientific understanding of the determinants of systemic changes in the professional activity of a higher school teacher and theoretical ideas in the field of educational qualimetry.

Technogenic impact on the environment during leaching

The results of the analysis of the theory and practice of leaching metals from substandard raw materials are presented. A brief historical reference is given on the leaching of metals from experimental leaching in the middle of the last century to industrial development in modern times. The direction of combining traditional and innovative technologies within a single technological process is formulated. The mechanism of underground block leaching of ores is described. A complex method of multi-factorial assessment of the existing natural and man-made factors of development is proposed. The parameters of the proposed technology and some aspects of its application are substantiated. Using the method of engineering forecasting, the prospects for leaching metals from substandard raw materials are assessed. The main results of the development of underground leaching of metals from sub-standard raw materials and the prospects for improving the method with the rational combination of underground leaching technologies with traditional mining technologies are formulated. It is concluded that the leaching of metals from substandard raw materials has prospects for development.

Assessment of the economic attractiveness of the spheres of economic activity of small enterprises according to statistical survey data

The subject of the study is the economic attractiveness of the spheres of economic activity, which are considered in the article in the context of sections of the current classification of types of economic activity, while each section corresponds to a certain enlarged sphere. the purpose of the work is to assess the economic attractiveness of the spheres of economic activity of small enterprises according to statistical survey data. The paper verifies the scientific hypothesis that, based on official state statistics, it is possible to get an idea of the economic attractiveness of individual spheres of activity of small enterprises and, by comparing them with each other, to build a generalized rating of groups of economic sectors according to their attractiveness for small and micro enterprises. The article summarizes the definitions of economic and entrepreneurial attractiveness found in modern publications. The selection of indicators reflecting the economic attractiveness of the spheres of activity of small enterprises and available for calculation on the basis of available statistical data was made: capital return, revenue per employee, the level of wages of employees. A method of complex assessment is proposed and a ranking of the economic attractiveness of fields of activity for small enterprises is carried out using various methods of criteria convolution for the transition from a multi-criteria assessment to the construction of a rating. As a result of the research, the most attractive spheres of economic activity for small enterprises have been identified: trade, repair of vehicles, construction, information and communication technologies. It is proposed to take into account the results obtained when forming a small business development policy.

MODEL OF EVALUATION OF INVESTMENT ATTRACTIVENESS OF THE ENTERPRISE

In the modern financial and economic conditions of business entities, ensuring the investment attractiveness of the enterprise is the key to its profitability and long-term development. The article considers the essence of investment attractiveness of enterprises. Based on the analysis of literature sources, the concept of investment attractiveness of the enterprise is clarified, which can contribute to a more accurate and clear definition of the processes associated with this activity. Under the "investment attractiveness" as an economic category should be understood as the level of efficiency of the available financial and economic resources of the enterprise, the indicators of which allow potential investors to draw conclusions about the need and feasibility of investing in the enterprise. It is found that the main components of the formation of investment potential of the enterprise are indicators of profitability, liquidity and solvency, business activity, financial stability. In the process of analyzing the literature and conducting a theoretical study identified various methodological approaches to assessing the investment attractiveness of the enterprise, among which are such classic tools as the method of sum of coefficients, the method of complex assessment, the method of sum of places. Their critical analysis is carried out, the advantages and disadvantages are determined. It is proved that the most clear and substantiated assessment of the level of investment attractiveness of the enterprise is considered in the methods based on the definition of the integrated indicator of investment attractiveness of the enterprise. This is the simplest method of analyzing the level of investment attractiveness, which requires the least time, and also allows you to quickly track negative trends in the enterprise, based on the calculation of financial ratios. It is substantiated that the assessment of the level of investment attractiveness of the enterprise should be carried out through rapid assessment, which is based on the calculation of an integrated indicator and provides analysis of the effectiveness of the main coefficients of financial condition based on comparison of marginal (critical and normal) and actual values. The proposed model of rapid assessment allows you to get an objective picture of the financial condition and efficiency of the existing investment attractiveness of the enterprise.

Methods for analyzing and assessing product quality

Every modern production is faced with the problem of improving the quality of finished products. The relevance of this issue follows from the decisions of the government, the subsequent instructions of the president. The task of improving the quality of goods and products was named among the leading ones aimed at increasing the level of management, accelerating scientific and technological progress, more complete use of production potential, all material, labour and financial resources. The theory and practice of the modern production management system are designed to ensure the search for the most perfect elements of the method of complex analysis and assessment and quality management of finished products manufactured in order to increase the economic efficiency of modern production, to better meet the material and spiritual needs of the Ukrainian people. An attempt is made in the work to improve the system for measuring, analyzing and managing the quality of finished products in order to find ways to improve the quality of finished products, reduce labour costs for controlling the quality of finished products. Improving the quality of finished products is considered as a cumulative element of the method of interrelated influencing factors determining the intensification of the production process. Particular attention in the work is paid to the issues of establishing the relationship between the qualitative properties of the product and the influencing factors that form it, as well as an attempt to identify the influence of the quality of the finished product on the economic performance of the industrial enterprise. Such a task is realized by economic and mathematical modelling of the phenomenon under study using statistical information data on the functioning of the production process in past periods. The specific application of some of the described elements of the method has found its embodiment in the development of models and algorithms for solving individual problems of the quality management system in a functionally developed quality management subsystem of a ship machine-building industrial enterprise and etc.

Behavioural evaluation of mouse models of type 2 diabetes

Motivation for food reinforcers in mouse models of type 2 diabetes was examined in three experiments. In all experiments, physiological measures indicated the presence of type 2 diabetes. In Experiment 1, high-fat fed Swiss TO mice and lean controls showed a preference for high-fat corn oil reinforcers over high-sugar syrup reinforcers in a T-Maze task, but there were no differences between the two groups. In Experiment 2, high-fat fed Swiss TO mice and lean controls responded for corn oil or food pellet reinforcers on progressive ratio schedules. While break point numbers were higher for corn oil than food pellets, and satiation or extinction reduced break points, there were no differences between the groups. In Experiment 3, streptozotocin treatment was used to induce type 2 diabetes in C57Bl/6 j mice that were compared with controls while responding for corn oil or food pellet reinforcers on progressive ratio schedules. While break point numbers were higher for corn oil than food pellets before and after streptozotocin treatment, and satiation or extinction reduced break points, there were no differences between the groups. Parameters for a more complex method of assessment of progressive ratio behaviour derived from Killeen’s Mathematical Principles of Reinforcement were also computed. While the parameter associated with incentive value was higher for corn oil than for food pellets, parameters were not significantly affected by streptozotocin treatment. Overall, a range of behavioural measures of food motivation failed to reveal effects of changes relative to controls in mice that showed physiological evidence of type 2 diabetes.

SENSITIVITY ANALYSIS OF SUPPLY CHAIN MANAGEMENT PROBLEM BASED ON HIERARCHICAL AND NETWORK DECISION SUPPORT MODELS

Background. Predicting future sales is necessary to control the flow of goods in supply chains (SC), which is why firms perform forecasting of consumer demand. To study the reliability of the solution, the sensitivity analysis (SA) of the results to changes in the original data is performed. Network decision support (DS) models usually contain a very large number of elements and connections between them, which makes it difficult to perform SA. Objective. The aim of the paper is to assess the sensitivity of the solution, given in the form of the element ranking of the network DS model, to inaccuracies and contradictions in elements of expert pairwise comparison matrices (PCMs), as well as to changes in individual elements of the supermatrix of the network DS model. To assess the priority of different types of information in the SC management system and to assess the sensitivity of the decision to obtain a more accurate forecast of consumer demand. Methods. Evaluation of DS models to prioritize information needs in the SC management system is carried out based on a developed method of network analysis. The method for assessing the sensitivity of the decision, proposed for the hierarchical DS model, includes finding stable elements of each level of the hierarchy and assessing the degree of sensitivity of global ranking of elements. The sensitivity of a solution based on a network DS model includes an assessment of the stability of local rankings, finding the matrix elements that most affect the change in consistency and change in the local ranking, as well as the sensitivity to changes in individual elements of the model supermatrix. Results. The method of complex assessment of sensitivity has been further developed, the stages of assessing the stability of local ranking of elements of the network DS model and the resilience of the pairwise comparison matrix elements to changes in the permissible inconsistency have been improved. A method for SA of results based on the network DS model to changes in individual elements of the supermatrix using machine learning tools is generalized. Conclusions. In the SC management problem, the elements of the expert PCM are found, which to the greatest extent affect the change in consistency and change in the rankings of decision alternatives. The stable elements of the matrix and elements for revision by an expert were calculated in order to increase the reliability of the solution to the SC management problem based on the hierarchical and network DS models.

Application of the method of complex assessment of the quality of high rise apartment buildings in practice

A comprehensive approach to the problem of improving the quality of construction of residential buildings, allows you to take into account various main factors that affect the quality of construction in General. Using the method of expert opinions, the most significant parameters were identified. The weight of each factor is determined using a mathematical model. The experiment examined three levels of variation in significance for each group of factors. After obtaining a discrete value of a complex indicator of the quality of construction of a residential building, it is interpreted using adapted quantitative ranges of values of the generalized Harrington desirability function. A method has been developed to determine the effectiveness of organizational and technological decisions made. An algorithm has also been developed to improve the quality of residential building construction.

ЕКОЛОГІЧНА ХАРАКТЕРИСТИКА ВОДНИХ ОБ’ЄКТІВ ГІРНИЧОДОБУВНИХ РЕГІОНІВ (НА ПРИКЛАДІ РІЧКИ ІРША ЖИТОМИРСЬКОЇ ОБЛАСТІ)

The urgency of the topic is determined by the importance of using the water of the Irsha River for various purposes: a source of drinking water, a source of energy, use it as a recreational facility, for irrigation, fishing, etc. The Irsha River is under the influence of the Irsha Mining and Processing Plant. When water infiltrates through the body of tailings dams, settling ponds, oxidized water enters surface waters. The aim of the research is the ecological assessment of the surface water quality of the Irsha River and the analysis of the impact of the mining industry on it. The task of the study is to analyze the impact on the state of surface waters of the river Irsha mining industry. The subject of the study is a set of hydrochemical and hydrological indicators of the ecological status of the river Irsha, left tributary of the Teteriv River (basin of Dnipro) in the Zhytomyr region for the period 2018-2019. The graphic method of complex assessment of water quality and the method of ecological assessment of surface water quality of the river Irsha according to the corresponding categories are applied in the work. The purpose of the study is the ecological assessment of the surface water quality of the Irsha River and the analysis of the impact of the mining industry on it. Analysis of the results of laboratory studies of the quality of wastewater discharged into the Irsha River indicates exceeding the established standards. This is due to the presence of pollutants in the soil that enter into the water. According to the results of a comprehensive assessment of surface water quality based on the graphical method, it was found that in 2018-2019 in general river waters in both observation sites within the Irsha River do not meet quality requirements, there were high values of MPC for dissolved oxygen, total iron and permanganate oxidation in both alignments. It is investigated that the surface waters of the river Irsha in both springs belong to the III class of water quality, which indicates a significant anthropogenic impact, the level of which is close to the limit of ecosystem stability. This is due to the high anthropogenic load in the Irsha river basin, primarily due to discharges of insufficiently treated wastewater. The results of research indicate a significant anthropogenic impact, the level of which is close to the limit of ecosystem sustainability. Given the current level of pollution of the Irsha River, the priority task in the field of environmental protection, rational use of natural resources is the implementation of measures provided by state and regional target programs to reduce anthropogenic pressure and improve surface water bodies.