Bird Droppings Research Articles

Effect of antioxidant and adsorbent on the digestibility and digestibility of nutrients in broiler diets while reducing the risk of aflatoxicosis

Purpose: determination of the adsorbent toxin and antioxidant vitamin C on the digestibility and assimilation of nutrients in the composition of compound feed for broiler chickens with a tolerant level of aflatoxin B1.Materials and methods. The objects of the study were broiler chickens of the KOBB-500 cross. When setting up the experiment, the duration of 42 days, 4 groups of 100 heads each were formed from day-old chickens according to the principle of analog groups. The experimental birds were fed complete compound feeds (CF) based on corn, sorghum and fodder beans. The samples of compound feeds have a high chemical composition and the presence of mycotoxins. Upper limits of permissible concentrations (ULC) for aflatoxin B1 were established in all three types of feed grain. Therefore, they were mixed with safe mycotoxin additives using dispensers in the feed shop of the poultry enterprise. In this way, tolerable levels (no more than 0,25 mg/kg of feed) of the content of this mycotoxin in the composition of the PK fed to the experimental birds were achieved. Against the background of the conducted scientific and production experiment with the use of chromium oxide in the composition of compound feed (as an inert indicator) on chickens (aged 35-42 days) of comparable groups (5 heads from each group), we conducted an exchange (physiological) experiment. Based on the results of chemical analysis of the fed compound feed and excrements in the droppings of the experimental birds, the level of digestibility and assimilation of nutrients in the diet was calculated.Results. During the experiment, the leadership of the combined introduction of the adsorbent toxfin in the amount of 1500 g/t and ingredient C in the amount of 500 g/t of feed into complete feeds for broiler chickens with a tolerant level of aflatoxin B1 was established. As a result, compared to the birds of the control group, the chickens of the 3rd experimental group had significantly (р<0,05) higher coefficients of digestibility of dry matter by 3,66%, organic matter by 3,90 %, crude protein by 3,63 %, fiber by 3.06% and NFE by 3,19 %, respectively. In terms of the degree of nitrogen assimilation (60,45 %), the result (51.45 %) and phosphorus (49,67 %) from the generally accepted amount with feed, the best indicators were also obtained in broilers of the 3rd experimental group, which reliably (р<0,05) outperformed their control indicators for these indicators by 3,74 %, 2,91 % and 2,45 %, respectively.

Improving the efficiency and reliability of India’s power grid through targeted EHV transmission line investments: a case of UPPCL

This study analyzes the optimization of Extra High Voltage (EHV) transmission line design parameters by Uttar Pradesh Power Corporation Limited (UPPCL) in India to improve power grid efficiency and reliability. UPPCL reduced insulation specifications for 400 kV lines from 27 to 21 disc insulators and decreased live metal clearance from 2600 to 2400 mm, resulting in 7–9% cost savings per line and reduced right-of-way requirements. While initial test lines performed satisfactorily for over 5 years, longer lines experienced operational challenges related to insulator quality, bird activity, and design margins. Tripping issues emerged during adverse weather conditions, particularly in foggy winter periods. Root cause analysis revealed the need for stringent insulator quality control, regular cleaning to mitigate bird dropping contamination, and potential corona ring design improvements. This case study demonstrates how targeted EHV transmission line optimization can yield significant cost and environmental benefits, while highlighting the importance of balancing economic gains with reliability and safety considerations. The findings provide valuable insights for future EHV transmission line designs and upgrades across India’s power grid.

PV Module Soiling Detection Using Visible Spectrum Imaging and Machine Learning

During the last decades photovoltaic solar energy has continuously increased its share in the electricity mix and has already surpassed 5% globally. Even though photovoltaic (PV) installations are considered to require very little maintenance, their efficient exploitation relies on accounting for certain environmental factors that affect energy generation. One of these factors is the soiling of the PV surface, which could be observed in different forms, such as dust and bird droppings. In this study, visible spectrum data and machine learning algorithms were used for the identification of soiling. A methodology for preprocessing the images is proposed, which puts focus on any soiling of the PV surface. The performance of six classification machine learning algorithms is evaluated and compared—convolutional neural network (CNN), support vector machine (SVM), random forest (RF), k-nearest neighbor (kNN), naïve-Bayes, and decision tree. During the training and validation phase, RF proved to be the best-performing model with an F1 score of 0.935, closely followed by SVM, CNN, and kNN. However, during the testing phase, the trained CNN achieved the highest performance, reaching F1 = 0.913. SVM closely followed it with a score of 0.895, while the other two models returned worse results. Some results from the application of the optimal model after specific weather events are also presented in this study. They confirmed once again that the trained convolutional neural network can be successfully used to evaluate the soiling state of photovoltaic surfaces.

Development of Titanium Dioxide Coating for Self-Cleaning Photovoltaic Panels

Amid escalating global energy demands and environmental concerns, the transition to renewable sources like solar power is imperative. Despite the advancements in photovoltaic (PV) technology promising increased efficiency, soiling on PV panels—composed of dust, bird droppings, and contaminants—poses a significant challenge, obstructing sunlight and reducing energy conversion efficiency. Building upon existing research on titanium dioxide (TiO2) nanoparticle coatings, our study investigates their super-hydrophilic and anti-soiling characteristics to enhance self-cleaning capabilities in solar applications. Furthermore, our research investigates the application of (3-aminopropyl)trimethoxy silane as an interlayer to reinforce the adherence of the TiO2 coating to PV panel glass, thereby enhancing its durability. Preliminary results highlight the coating’s exceptional super-hydrophilic properties, with water contact angle measurements less than 10°, indicative of TiO2’s strong water affinity. Spectrophotometer measurements show that the developed coating maintains high optical transmittances for the wavelength range from 350 to 800 nm, which is the most crucial factor for energy conversion in solar panels. Our contributions aim to advance solar energy technologies and support the shift towards more sustainable energy solutions, highlighting the role of innovative materials science in addressing solar power’s operational challenges.

Evaluation of bacteriophage effect against multidrug-resistant Proteus mirabilis isolated from different clinical samples

Proteus mirabilis is a Gram-negative bacterium that can cause a variety of infections including urinary tract infections, respiratory tract infections and wound infections. It is becoming increasingly resistant to antimicrobial agents, and new therapeutic options are urgently needed. Fifty samples were collected from different samples from hospitals in Baghdad city, thirty were found to be positive for Proteus mirabilis. The results showed that most of the Proteus mirabilis isolates were resistant to Cefotaxime (76.6%), Tobramycin and Amikacin (66.7%), Gentamicin (60%), Ciprofloxacin and Ceftazidime (40%). However, Norfloxacin, Amoxicillin / Clavulanic acid and Aztreonam had lower resistance rates of 33.3%, 30%, and 23.3% respectively. The isolates were also tested for multi-drug resistance. Eight different resistance patterns were identified with 24 (80%) of the isolates being resistant to more than three antibiotics. Eleven (36.7%) of the isolates produced β-lactamase enzymes while 8 (26.7%) were able to produce extended-spectrum β-lactamases. Four bacteriophages were isolated from bird droppings, sewage, Tigris river water and soil samples. These phages were able to infect four isolates of the multidrug-resistant bacteria P. mirabilis. A study of the effects of pH and temperature on bacteriophages found that they were able to eliminate bacteria with high efficiency in a pH range of 7 to 9 and at temperatures of 25 to 550C.

Reliability and criticality analysis of a large-scale solar photovoltaic system using fuzzy-fault tree analysis approach

Over time, solar Photovoltaic (PV) systems experience a decline in performance and reliability due to various environmental factors. Fault Tree Analysis (FTA) can be used to assess the reliability of these systems and identify faults and failure modes that can significantly impact the entire PV system’s performance. However, in practice, obtaining accurate failure probability values for the components of a solar PV system is challenging since systems operate in an ever-changing environment, resulting in a scarcity of data for statistical estimation. This paper proposes a fuzzy theory-based FTA approach to obtain the failure probabilities of the faults more accurately. The Fuzzy-FTA methodology converts experts’ subjective opinions expressed in linguistic terms into a Failure Possibility Score (FPS), which is then converted into a failure probability value. The results of the proposed approach are compared to those obtained through the conventional FTA to assess its effectiveness, applicability, feasibility, and efficiency. Soiling, dust accumulation, inadequate system maintenance, bad system configuration, bird dropping, delamination, improper installation, shading, grounding, and discoloration are the most critical faults and impact on the performance and reliability of solar PV systems.

Swallow Droppings for The Chemical Properties of Alluvial Soil As Growing Medium For Ebony (Diospyros Celebica)

This study aimed to determine the effects of swallow bird droppings bokashi on several soil chemical properties such as pH, C-Organic, N, P, K, CEC, and to determine the appropriate dosage of bokashi fertilizer for the growth of ebony seedlings. This research was conducted at Permanent Nursery located at Tadulako University. This study was conducted using a completely randomized design with 5 treatments and 4 replications, 20 experimental units as: P0 (control), P1 (7 tons/ha), P2 (14 tons/ha), P3 (21 tons/ha), and P4 (28 tons/ha). The results showed that the swallow droppings bokashi fertilizer was able to improve: soil pH 7.18 to 7.55 with a neutral status, P from 41.34 to 65.06 with very high status, K from 46.26 to 53.87 with high status, C-Organic from 5.30 to 10.25 with high to very high status, and N-Total from 0.12 to 0.34 although in low status in the soil. The application of swallow droppings bokashi into the soil was very much needed. C-Organic content in swallow droppings bokashi was 50.23%, N (4.26). The application of swallow droppings bokashi with a treatment of 21 tons/ha (61.25 g/pot) was the best dose for the growth (height) and the increase number of leaves of ebony seedlings.

Influence of «ORGANIC MAX» organic fertilizer on soil condition in Zakarpattia

With a shortage of traditional organic fertilizers and a constant increase in the cost of mineral fertilizers, it is important to find alternative environmentally friendly sources of nutrients. The effectiveness of the new organic fertilizer «Organic MAX», made on the basis of lignite (brown coal) and chicken droppings in the conditions of Zakarpattia region, which provides positive changes in the agrochemical criteria of the soil, has been proposed and studied. Under the influence of bird droppings, the humic substances of lignite go into a physiologically active state and effectively act as plant growth stimulants and sources of nutrients. According to the results of field studies, there is an increase in the effectiveness of this fertilizer with an increase in the content of animal waste: «Organic MAX–20» (lignite + 20% chicken droppings) and «Organic MAX–30» (lignite + 30% chicken droppings). It was found that the application of this fertilizer at a rate of 1 t/ha provided an increase in the content of organic soil matter (humus) by 0.05% for pure lignite, by 0.19% for Organic MAX–20 and by 0.66% for Organic MAX–30. There was also an increase in the content of nutrients: easily hydrolyzed nitrogen by 14.1–55.9 mg/kg; mobile phosphorus compounds at 64.5–109.3 mg/kg; mobile potassium compounds at 64.9–125.5 mg/kg. The effective effect of the fertilizers applied for the next year was revealed despite the high level of nutrient removal by a crop such as corn. The humic component is a nutrient medium for soil bacteria. The active work of microorganisms is the main link in the process of humus formation. After fertilization, there is an improvement in the water-physical properties of the soil, an increase in microbiological activity, as well as a decrease in the negative impact of adverse factors on the development of plants. On acidic soils, first of all, liming must be carried out before fertilizing. The type of this fertilizer is chosen for a specific crop after conducting agrochemical analyzes of the soil. The most effective application of these fertilizers on low-humus low-fertile soils, as well as non-structural ones, since they contribute to the optimization of soil properties. Its use is economically and environmentally feasible. It is possible to recommend environmentally friendly organic fertilizer «Organic MAX» for use in organic farming, the popularity of which in Ukraine is growing every year, to resume soil fertility.

Bird Droppings Defects Detection in Photovoltaic Modules Based on CA-YOLOv5

Due to the characteristics of different forms and small bird droppings-related defects in photovoltaic modules, problems of missing detection, wrong detection, and low detection accuracy often exist in the bird droppings covering the detection of photovoltaic modules. In this paper, a defect identification method based on the improved Coordinate Attention—You Only Look Once (CA-YOLOv5) network is proposed. Firstly, a layer of the Coordinate Attention module is added between the Backbone and Neck network, which takes into account channel and location information to enhance the feature extraction ability of the network model. Secondly, the small target detection layer is added to fuse different feature information from shallow networks and deep networks so as to improve the multi-scale feature detection ability of the network structure and effectively improve the detection effect of small targets. Finally, the experimental results show that, compared with the original algorithm, the proposed improved algorithm based on YOLOv5s has a mean average precision (mAP) value of 92%, an increase of 5.2%, and the model volume is also reduced in different degrees compared with other mainstream algorithms, achieving a good balance between detection accuracy and model volume. The results show that the model has a more accurate detection result for the bird droppings-related defect detection of photovoltaic modules and can provide a reference for the detection of photovoltaic modules in real life.

Chess Game Rook‐Icon Movement‐Based Photovoltaic Array Reconfiguration for Higher Shade Dispersion and Improved Global Power Peaks Under Partial Shading Conditions: An Experimental Study

Solar photovoltaic (PV) system generates low power because of nonuniform sun irradiation compared to standard test conditions. Partial shading conditions (PSCs) can arise from various factors, with passing clouds, trees, telecommunication towers, bird droppings, and similar elements being among the most prevalent causes. Under the shading scenario, multiple global and local maxima power points exist on the P–V curves. Herein, the chess game rules for the “Rook” icon are followed to attain the optimal placement of integer numbers (1–9) in the 9 × 9 size game puzzle matrix. The integer number‐based game puzzles such as Su‐Do‐Ku, symmetric matrix, and proposed Rook's movement‐game theory (RMGT) to rearrange the PV modules in arrays are investigated and compared with the standard arrangements such as series‐parallel, total‐cross‐tied during PSCs. The suggested RMGT puzzle‐based arrangement is able to achieve higher power at global maximum power point, performance enhancement, fill factor, and low power loss. As a result, the experimental study proves the superiority of RMGT configuration compared to conventional methodologies under the shading scenarios. The proposed RMGT‐based PV array is tested and obtained the performance higher side as, , , , and compared to existing reconfiguration methodologies.

Experimental investigation of bird dropping and soiling on PV panel power output in a humid and dusty environment

Over the past few decades, the increased use of energy resources has led to an increase in electricity demand, which has compounded a constant shortage of nonrenewable energy resources. However, dust accumulation, humidity levels, temperature, and bird droppings can negatively affect the efficiency of PV systems. Bird droppings can cause shading areas and hot spots on PV cells, gradually reducing their performance. This study aims to investigate the impact of bird droppings and soiling on photovoltaic panels by developing an experimental setup. An experimental setup comprises two PV panels with monitoring and data logging sensors. During the cleaning process, one panel will be compared with a panel affected by bird droppings and soiling. The experiment was conducted for 25 days in a dusty and humid environment, affecting approximately 30% of the PV panel area by bird droppings. As a consequence, the panel's output decreased by 35%. In order to predict when the PV panel becomes completely opaque, resulting in zero power, after the experiment has been conducted, multiple linear regression techniques have been applied that show the whole panel will cover up in 82 days with bird droppings having a covering area of 128500 mm2. The experimental investigation concluded that bird dropping and soiling can significantly impact PV panel output degradation. Regular cleaning patterns will help to ensure efficient operation and maximize electricity generation.

Assessment of products of anaerobic fermentation of organic raw material from poultry last by microbiological indicators

The product of anaerobic microbiological transformation of bird droppings is a liquid suspended product (digestate), the composition of which is characterized by new chemical features acquired due to the activity of anaerobic microorganisms. This process takes place in biogas plants, and as a result of methane fermentation of bird droppings, biogas and residues of organic raw materials are formed, which are used as fertilizer. The international practice of using digestate as an organic fertilizer or soil improver for the farm’s own needs is similar to classic composts and does not require sanitary and microbiological certification, but there are voluntary certification standards, as well as various industry guidelines on the quality of organic fertilizers. The work analyzes international and national sanitary microbiological standards regarding digestates, products of processing by-products of animal husbandry and organic substances for application to the soil, in particular Regulation (EU) 2019/1009 of the European Parliament and the Council of June 5, 2019 «On establishing rules for placing fertilizers on the market EU», DSTU 7527:2014 «Poultry droppings. Technologies of biological processing. General requirements», DSTU 7938:2015 «Organic fertilizers. Agronomic requirements for the quality of fertilizers for use in organic production». Information from scientific articles, standards of individual countries and guidelines of international voluntary certification bodies regarding the assessment of digestate applied to the soil as an organic fertilizer or soil improver is summarized. It has been established that mandatory sanitary microbiological characteristics for such substances are Salmonella bacteria (Salmonellas spp.) and Escherichia spp. bacteria, as well as the standards of some countries and scientific literature recommend determining Coliform bacteria and Streptococ-cus faecalis bacteria, the presence of which indicates the possible presence of potentially dangerous strains of microorganisms. With the use of laboratory equipment, the granulation conditions of the solid fraction of the digestate were optimized to obtain granulated organic fertilizer from the sludge of the biogas plant. A microbiological analysis of granulated digestate from a biogas plant on bird droppings was carried out in order to establish its compliance with the sanitarybacteriological requirements for organic fertilizers. The presence of pathogens of infectious diseases in poultry droppings and the presence of phytopathogens in grain, which is used for the preparation of premixes, increases their probable migration into the composition of organic fertilizer in case of improper methane fermentation with violation of temperature and exposure conditions. Microbiological analysis of granulated digestate showed the absence of Salmonellas spp. and Escherichia spp. bacteria in the studied samples, but a high number of mold fungi 1.2·104±7.25·102 CFU/g was found, which may be a consequence of storage wet raw materials. In order to prevent microbiological contamination during the storage and transportation of raw materials and organic fertilizers, a necessary condition is compliance with sanitary requirements for all technological processes, starting from the conditions of keeping and feeding animals to the conditions of storage of finished products and application to the soil. The content of harmful microorganisms in the digestate of biogas plants operating on bird droppings or animal manure without litter or the addition of plant residues and chemicals depends mainly on the quality of the droppings and water. The quality of raw materials affects the quality of the digestate and is determined by the sanitary-epidemiological condition of animals and premises, microbiological contamination of feed, pre-treatment of raw materials for loading to the biogas plant. It was established that the granular digestate from bird droppings meets the requirements of Ukrainian standards DSTU 7527:2014 regarding organic fertilizers from poultry droppings and DSTU 7938:2015 regarding organic farming, which allows for further substantiation of optimal application technologies. To control the secondary bacterial contamination of organic raw materials during the storage process, the effectiveness of the use of commercial biological preparations was evaluated. The perspective of using commercial microbial preparations, in particular MycoHelp, to control mold fungi of the genus Penicillum spp. in the technologies of processing by-products of agriculture into organic fertilizers and preventing spoilage of finished products during storage.

A new species of Metron Godman, 1900 (Lepidoptera, Hesperiidae) from the western Amazon, with a unique hindwing color pattern in Hesperiina, its phylogenetic placement, and an illustrated key for the genus

Metron mentor Dolibaina, O. Mielke & Casagrande, sp. nov. is described from the western Amazon of Brazil, Peru, and Venezuela. The wide white area covering part of the hindwing and body of the new species is unique in Hesperiina and is hypothesized to create a disruptive pattern when the insect is at rest, resembling a bird dropping. Based on genomic data, Metron mentor sp. nov. is recovered as a sister species of all the known species of Metron Godman, 1900. This hypothesis suggests that the similar ventral hindwing of M. mentor sp. nov. to species formerly in Metron and Propertius Evans, 1955, but currently in Metrocles Godman, 1900 may be plesiomorphic. The new species is illustrated and described, a phylogenomic hypothesis for Metron is presented, and an illustrated key for both sexes (when known) is given for all the species and subspecies in the genus.

Review on Design and Fabrication of Solar Panel Cleaning Mechanism

Today energy demands are increasing sharply therefore as a Renewable source of power, solar energy has an important role in producing the electricity direct from sunlight. The surface of solar panel in solar power plants becomes dirty due to natural factors such as dust and bird droppings. This project aims at increasing the efficiency of solar power plants by solving the problem of accumulation of dust on the surface of solar panel which leads to reduction in plant output and overall plant efficiency. It proposes to develop a Solar Panel Cleaning System which could remove the accumulated dust on its surface on a regular basis and maintain the solar power plant output.[8]

Study on Fault Monitoring Technology of Photovoltaic Panel Based on Thermal Infrared and Optical Remote Sensing

Abstract. Rapid access to the operating status of Photovoltaic (PV) panels and troubleshooting can save management and maintenance costs for the development of PV power plants, which is important for PV power plant management and power generation capacity assurance. The use of remote sensing technology to identify the faults of photovoltaic panels has developed rapidly, however, current research usually relies only on a single optical data source to identify and count the area of PV panels in a PV electric field, although there are literature on PV panel fault detection, only the surface fault identification of PV panels is tested, while the internal faults (such as panel bad points or bad lines) cannot be identified because of the limitations of optical remote sensing. In this paper, a photovoltaic panel fault monitoring technology based on multi-source remote sensing is proposed. The optical and thermal infrared hybrid data combined with deep learning technology are used to achieve rapid and accurate fault identification and localization of PV panel arrays. It can not only automatically identify PV panels that are obscured by dust and foreign objects, but also locate PV panels that have bad dots or bad lines, which greatly improves the ability and effectiveness of remote sensing PV panel fault monitoring. The high-resolution unmanned air vehicle (UAV) optical image and thermal infrared image are applied in this experiment. The Mask RCNN algorithm is used to accurately locate and number the photovoltaic panel of the optical image. Then, the fault scene classification model is established for the multi-type fault characteristics of the optical image and thermal infrared image within the panel range, so as to identify five types of faults, such as dust cover, branch cover, bird droppings cover, internal bad points and bad lines of PV panel, which effectively solves the problem that the single optical remote sensing image cannot identify the internal component faults of the photovoltaic panel under normal conditions.

A bird droppings flashover analysis method based on the combination of electric field distortion and spatial electric field distribution

To study the flashover of air gap caused by bird droppings shorting air gap and the influence of space electric field change on it, the distortion electric field simulation, space electric field simulation, and related flashover test of transmission line bird droppings falling process were carried out. By analyzing the specific influencing factors of bird droppings flashover fault, it is pointed out that the electric field distortion caused by bird droppings will affect the spatial electric field distribution around the insulator and thus affect the air gap flashover. This study analyzes the specific causes of bird dropping flashover of transmission line insulators, reduces the number of bird damage trips of transmission lines, reduces the cost of operation and maintenance of transmission lines, improves the intrinsic safety of transmission lines, and ensures the safe and reliable operation of power grids.

Image Recognition of Photovoltaic Cell Occlusion Based on Subpixel Matching

INTRODUCTION: During the operation of large photovoltaic power stations, they are often shielded by dust and bird droppings, which greatly reduce the power generation and even cause fires. Analysis of PV cell occlusion image recognition accuracy based on sub-pixel matching. OBJECTIVES: In order to find the location of the pv cells, we use the method of subpixel image matching. Improve recognition accuracy. METHODS: When the power plant is running normally, taken the original image for photovoltaic power station as the original sample, and then using the subpixel gradient matching algorithm, to match the original image and find out that the minimum matching values. RESULTS: If the calculation results is greater than a specified threshold, When the calculated result is greater than the specified threshold, the power station is considered abnormal. CONCLUSION: The experimental process shows that this method can better judge the operating status of photovoltaic power station, and can find out the location of mismatched photovoltaic cells more accurately, and the calculation accuracy reaches sub-pixel level.

CCCerebral cryptococcosis regarding two clinical cases and bibliographic review

Cryptococcosis is a life-threatening infection, the species complexes Cryptococcus neoformans and Cryptococcus gattii are yeasts with a polysaccharide capsule, metabolize urea and catecholamines; It is transmitted by inhalation of bird droppings, mainly pigeons, and is capable of causing outbreaks in both immunocompromised and immunocompetent hosts. In Latin America, cryptococcal meningitis is a health threat. The initial infection is localized to the lungs and spreads to other organs, such as the central nervous system, where it causes meningoencephalitis and rarely focal granulomatous lesions such as cryptococcomas. The diagnosis must be made early, with serological tests for the cryptococcal polysaccharide capsular antigen. Treatment is divided into induction, consolidation and maintenance. Below, two clinical cases are presented, the first case is a 68-year-old female with a history of tuberculosis 15 years ago; 10 days, with holocranial headache, nausea and vomiting; on physical examination with superficial stupor, nuchal rigidity; kerning sign (+); lumbar puncture with identification of cryptococcal meningitis, induction treatment with fluconazole was started. The second case, a 60-year-old male with a history of acute lymphoblastic leukemia with chemotherapy 1 month ago, suddenly presented with altered consciousness, a lumbar puncture was performed, which reported cryptococcal meningitis by PCR, induction treatment with fluconazole was started; Both patients were admitted to the Intensive Care Unit, however, they had an unfavorable outcome.

Possibility of reclamation of ash dumps

Relevance. The need to dispose ash and slag waste from CHPP-1 and CHPP-2 in Ulan-Ude, which have a negative impact on the environment. A promising way to eliminate environmental damage is the biological reclamation of ash dumps. Its result is manifested in greening dumps and reducing ash deflation. Aim. To study ash and slag wastes from thermal power plants in Ulan-Ude and establish the possibility of reclamation of ash dumps to reduce the negative impact on the environment. Objects. Ash and slag wastes from the ash dumps of CHPP-1 (ASW-1) and CHPP-2 (ASW-2) in Ulan-Ude. Methods. Chemical, X-ray phase, granulometric, microscopic methods of analysis. Results. The authors have determined chemical, mineralogical and grain compositions of ash and slag wastes from thermal power plants. It was established that they have a high content of silicon, aluminum and a low content of calcium and magnesium. Ash and slag contain vitreous, crystalline and organic components. In the waste, to a greater extent, there is a crystalline phase containing silica, mullite, hematite, magnetite and, to a lesser extent, a glass phase, represented mainly by minerals of the orthoclase group. In terms of granulometric composition, the waste from CHPP-1 is dominated by a finer fraction compared to CHPP-2. Laboratory studies of soil mixtures based on ash and slag waste and local ameliorants (sewage sludge, lignin and chicken manure) were carried out. The optimal ratio of soil components was determined, equal to 4:1:1:1. A beneficial effect of sewage sludge was revealed, as well as a negative effect of high doses of bird droppings on growth and development of plants. Pure ash and slag from CHPP-1 and CHPP-2 without introduction of ameliorants can act as an independent substrate for perennial grasses.

Processing of poultry litter into organomineral fertilizers

Poultry litter accumulates every day on the territory of poultry farms and other agricultural enterprises. Its disposal has become a difficult problem to solve, since processing requires money, the availability of storage space and agricultural land for applying the resulting fertilizers, etc. The main task in the development of new types of bio- and organomineral fertilizers is to obtain properties, which would promote the accumulation of humus in the soil, replenish the deficiency of nutrients and significantly increase the efficiency of the latter. One of the positive properties of such fertilizers will be their reclamation properties, the presence of which is extremely necessary for agricultural production, especially in areas of risky farming. In order to solve the problems of processing bird droppings and providing crop producers with eff ective fertilizers, a technology for processing poultry litter with waste-free production of complex organomineral fertilizer has been developed. The purpose of the work was to increase the effi ciency of processing poultry litters to produce organomineral fertilizers. The content of organic matter in the new organomineral fertilizer was 63,0 % and was second only to its content in peat. Thus, in terms of nitrogen content, organomineral fertilizer exceeds cattle manure, pig manure and peat by 1,00; 0,87 and 0,98 abs.%, respectively. A similar trend was observed for phosphorus and potassium. The potassium content was even higher than in pure poultry litters by 1,42 abs.%. Since soil fertility decreases annually, even despite the supply of organic matter in the form of plant residues, the introduction of new organomineral fertilizer will contribute to the reverse process.