Assessment Of Resource Potential Research Articles

Assessment of Natural Resource Potential and Anthropogenic Load in the Macroregion of Northern Eurasia Based on a Basin Approach

Assessment of Natural Resource Potential and Anthropogenic Load in the Macroregion of Northern Eurasia Based on a Basin Approach

Rare elements and non-ferrous metals in the paleogene brown-coal deposits of the Zeya-Bureya sedimentary basin (Amur Region, Far East): accumulation models, enrichment conditions and criteria for assessment of resource potential (a review)

A model has been developed for deposition of rare earth elements with yttrium, trace elements, and non-ferrous metals in platform and activated structures of the Upper Amur region. Genetic types of lanthanide enrichment are considered; lanthanides are shown to concentrate non-uniformly in coal seams and in coal combustion products. Light rare earth elements predominate in coals. The capacity of peat and coal for metal extraction from aqueous solutions was proven. Criteria for a preliminary assessment of coal as a raw material for lanthanides were considered and prospects for their identification were analyzed.

Water Resources Potential Assessment during Dry Season in Indonesia: A Systematic Literature Review

The dry season in Indonesia has been studied in the context of its impact on rainfall extremes, with research indicating that the dry season rainfall extremes are strongly affected by IOD and ENSO (El Niño-Southern Oscillation). The impact of dry season in 2023 based on the data from the Meteorological, Climatological, and Geophysical Agency (BMKG ) mentioned that this dry season started from march to September 2023. Java Island, whose land area is only 138,379 km² or 7 (seven) percent of Indonesia's area, has a very important position because it is crowded by 65 percent of Indonesia's population or an average of 864 people / km² and contributes to GNP of 60 percent. This article aims to review the water resources in Java Island in Indonesia during the dry season in 2017 to 2023. That causes the lack of water resources has become the main problem in some area in Java Island in Indonesia. This research result assesses the water resources during the dry season, the technique, the method, and the findings. There are 287 articles found only from Scopus sources, 40 article reviewed, and only 5 articles have been matched to the topic by using Prisma P. process. Finally, the result shows that one aspect that remains unclear about Indonesia's dry season is how exactly climate change influences its duration and intensity. While it's known that Indonesia undergoes a dry season, the specific impacts of climate change on factors like rainfall patterns, temperature, and the occurrence of extreme weather events are not fully grasped. This lack of understanding presents challenges for planning agriculture, managing water resources, and conserving ecosystems in the region.

Methodology for Generating a Reference Wind Year for Offshore Wind Energy: A Case Study in La Guajira, Colombia

Due to its excellent potential, wind power has gained importance as a renewable energy source in Colombia, especially in the offshore Caribbean region. However, one of the main challenges in the development of offshore wind projects is the analysis of the wind resource. This study presents the generation of a specific typical meteorological year (TMY) for wind energy in the Colombian Caribbean region, known in the literature as Reference Wind Year (RWY). The methodology used was based on the Sandia method, widely accepted in the analysis of wind resources. A comparison between the cumulative distribution function (CDF) and the statistic approach Finkelstein-Schafer (FS) was applied to evaluate multiple meteorological parameters in the study area associated with wind resource potential assessment, such as wind speed and direction, temperature and atmospheric pressure, compiled for 10 years (2012-2021). The representative years were weighted according to their importance and combined into a dataset. The results indicated that the proposed method was able to generate highly representative and accurate data for the case study in La Guajira, Colombia, guaranteeing its suitability for implementation in other locations with different climatic conditions.

Assessment of REY resource potential in deep-sea sediments with Fe–Mn (oxyhydr)oxides in the Pacific Ocean

Deep-sea sediments with an abundance bioapatites and Fe–Mn (oxyhydr)oxides in the Pacific Ocean have been considered potential reservoirs of rare earth elements and yttrium (REY). However, comprehensive assessment of the resource potential of REY in deep-sea sediments with Fe–Mn (oxyhydr)oxides throughout the Pacific Ocean is limited due to difficulties in accurately predicting the distribution of extensive Fe–Mn (oxyhydr)oxides and the associated REY. In this study, we predicted the prospective area and resource potential of REY-rich sediments with Fe–Mn (oxyhydr)oxides by considering multiple factors that control REY enrichment based on data from International Ocean Discovery Program (IODP) samples and previous research. According to the distribution map inferred by comprehensively evaluating lithology (clay sediment), hydrothermal fluid influence (δ3He), and water depth (bathymetry), deep-sea sediments with Fe–Mn (oxyhydr)oxides, which have higher than 1000 ppm REY concentration, are distributed in the vicinity of the East Pacific Ridge within a water depth range of 4000–4600 m, and their distribution area is estimated to be approximately 1.1 million km2. If the sedimentation rate (<1.5 m/Myr) is considered, which is a crucial factor influencing REY enrichment, we can achieve a more precise assessment of their distribution area. Assuming a recovery depth of only 1 m, the REY resource amount was estimated to be approximately >450 million tons of REY oxide. Even without accounting for REY resource amount associated with bioapatite, the minimum REY resource amount estimated in this study exceed the world's current land reserves. Furthermore, these sediments contain a significant abundance of industrially important heavy REY, accounting for 53 % of REY resources. This implies that the deep-sea sediments with Fe–Mn (oxyhydr)oxides in the Pacific Ocean are a promising resource of REY. Our findings will serve as essential information for the technological progress required in the exploration and development of REY resources in deep-sea sediments in the future.

3D Geostatistical Modeling and Metallurgical Investigation of Cu in Tailings Deposit: Characterization and Assessment of Potential Resources

3D Geostatistical Modeling and Metallurgical Investigation of Cu in Tailings Deposit: Characterization and Assessment of Potential Resources

Resource potential evaluation of magmatic cobalt and nickel in the east Kunlun metallogenic belt, northwest of China through a geological-constrained convolutional neural network model

In the Kunlun orogenic belt of the East Kunlun region, several magmatic sulfide deposits of cobalt–nickel type, such as Xiarihamu and Shitoukengde, have been discovered along the Kunlun fault. The area still holds significant mineral exploration potential. This paper proposes a convolutional neural network (CNN) model based on geological constraints. When constructing the CNN model, a layer is added to restrict the magnesium-iron ratio content of mafic–ultramafic rocks in the convolutional layer, based on the characteristics of mafic–ultramafic rocks in cobalt–nickel deposits. This layer acts as a hard constraint to filter mafic–ultramafic rocks in the evidence layer, providing theoretical interpretability to the data-driven CNN model. To ensure sample balance in the prediction data and prevent overfitting during the model prediction process, a sliding window method is adopted to expand the positive samples. Predictive models are established before and after sample expansion, and ROC is used to evaluate the predictive models. Based on research into the metallogenic geological background and metallogenic model of the East Kunlun Orogenic Belt, combined with multi-source geological, geophysical, and geochemical data, a geological-constrained CNN model was used to analyze the mineralization potential of magmatic cobalt–nickel deposits in the study area. The research results show that the accuracy of the geology-constrained CNN model is 92.1 %, indicating excellent predictive performance. The results, highly consistent with known deposits, suggest that the model’s predictions can be used for resource potential assessment of magmatic cobalt–nickel deposits in the East Kunlun metallogenic belt in northwest China.

Проблемы развития районов освоения Республики Тыва (геоинформационный аспект)

The Republic of Tyva has a significant natural resource potential. The mining complex has been identified as a priority area of the economy of this territory. Despite the existing development potential, the region faces a number of challenges that require an integrated approach to address them. Modern trends are based on the principles of sustainable development, balanced and rational use of natural resources, which are primarily built on the basis of comprehensive information on the region. Information can be combined, structured and analyzed using geographic information technologies. Research objective. A spatial analysis of the resource potential and cartographic assessment of the anthropogenic impact of the reclamation territories in the Republic of Tyva. Research results. An assessment of the current state of the reclamation areas in the Republic of Tyva was carried out using the geoinformation approach. An index analysis of the investment attractiveness and investment potential as well as the anthropogenic load of the reclamation areas in the Republic of Tyva was carried out. Conclusions. The use of the geoinformation approach when assessing the current development state of the reclamation areas in the Republic of Tyva offers a number of advantages. First, it allows getting a clear picture of the current situation, identify the problem areas and develop effective strategies for further development of the territory. Second, combining data from various sources into a single GIS helps to make informed decisions and optimize the use of resources in the reclamation areas.

Rare Elements and Nonferrous Metals in Paleogene Brown Coal Deposits of the Zeya–Bureya Sedimentary Basin (Amur Region, Far East): Accumulation Models, Enrichment Conditions, and Criteria for Assessment of Resource Potential (A Review)

Rare Elements and Nonferrous Metals in Paleogene Brown Coal Deposits of the Zeya–Bureya Sedimentary Basin (Amur Region, Far East): Accumulation Models, Enrichment Conditions, and Criteria for Assessment of Resource Potential (A Review)

Energy potential assessment and techno–economic analysis of micro hydro–photovoltaic hybrid system in Goda Warke village, Ethiopia

Abstract Rural Ethiopia has significant untapped potential for hydro and solar energy generation systems. However, challenges arise from seasonal variations and unfavourable topographic positions of flowing rivers, hindering the efficient exploitation of these resources. Despite the country’s abundance in hydro and solar energy resources, &amp;gt;75% of the population still lack access to electricity from the national grid. This work deals with energy resource potential assessment and techno–economic analysis of micro hydro–photovoltaic (PV) hybrid systems, considered in the case study of Goda Warke village, located in the Yaya Gulele district. A novel framework is proposed that utilizes the Natural Resource Soil Conservation Service curve number method to assess the energy potential of micro-hydro energy in ungauged basins, specifically at the exit point of the Girar River basin catchment. The average monthly flow rate in the basin is 0.975 m3/s, while the area exhibits a solar radiation potential of 5.39 kWh/m2/day. Energy policy promotes expanding access to modern energy sources and utilization of indigenous energy resources. Simulation results indicate that the hydro/PV/diesel generator (DG)/battery and hydro/PV/battery systems are the most optimal choices based on net present cost, with the inclusion of a DG for economic comparison. Micro-hydro energy covers most of the electric load in the area, achieving a capacity factor of 47.5%. The cost of energy and net present cost were found to be sensitive to variables such as the price of diesel fuel, pipe head loss, and the growth of the village load. The optimized system demonstrated a hydro energy potential of 1405.37 MWh/year and a PV energy output of 274.04 MWh/year, resulting in a levelized cost of energy of 0.0057 and 0.049 $/kWh for the hydro and PV components, respectively.

Нефтегазовый комплекс Арктики и коренные этносы: оценка потенциала и проблемы взаимоотношений

The oil and gas industry is the basis of Russia’s socio-economic development and remains the main source of foreign exchange earnings. In the 21st century, hydrocarbon exploration moved to Arctic regions. The study aims to assess the impact of the Arctic oil and gas industry on indigenous peoples of the North and identify ways to improve contractual relations between them. To this end, statistical, cluster, aggregation, analogy approaches, etc. were used. Analysis of the differences of oil and gas districts in economic activity, commodity specialisation, transport logistics revealed 6 clusters: Nadym-Urengoy, Purovsky, Zapolyarny, Nenets, Taimyr-Turukhansky (Vankorsk) and Usinsky. The oil and gas fields are linked to places of traditional residence and economic activity of small indigenous peoples that are rich in renewable natural resources. The development of these areas expanded the country’s oil and gas resource base. However, it also caused social and environmental problems associated with a decrease in renewable natural resource potential of places of traditional residence and economic activities as a result of pollution and reduction of fishing and hunting grounds. Simultaneously, the shift method traditionally used to overcome the shortage of qualified personnel in the Northern and Arctic regions allows oil and gas companies to avoid the cost of creating social infrastructure. Despite advances in technology and state policy measures implemented to solve social, ethnic and environmental problems of small indigenous peoples, economic benefits are the most important reason for the development of the Northern and Arctic regions. Thus, contractual relations between extractive corporations and indigenous ethnic groups do not protect peoples’ livelihoods. A comprehensive assessment of renewable natural resource potential is required to reduce the damage to indigenous peoples and the environment during hydrocarbon exploration.

Methodology for express assessment of human resource potential in the regional system of secondary general education

This article presents a methodology for the quick assessment of human resources potential within the regional system of secondary general education. Its relevance is dictated by the extreme importance of human resources for improving the quality of education in the region, the need for well-founded managerial decisions to enhance the effectiveness of teaching, and the demand by regional education management bodies for tools to evaluate and develop human resources. The tasks, solved with the help of the proposed methodology, include identification (using statistical and econometric methods) significant general, professional, and motivational characteristics of teachers that affect the results of their students’ Unified State Exams (USE); determining profiles of successful and unsuccessful teachers and their location in regional schools; projecting the expected USE results for a new teacher’s class based on their characteristics; setting targeted goals for the development of human resource potential in the region, and targeted interventions in the problematic areas of the regional education system. Thus, this methodology holds high practical significance for the improvement of the regional general secondary education system.

МЕТОДИЧНІ ПІДХОДИ ВИЗНАЧЕННЯ ТА ОЦІНКИ РЕСУРСНОГО ПОТЕНЦІАЛУ КРИТИЧНОЇ МІНЕРАЛЬНОЇ СИРОВИНИ УКРАЇНИ

Industrial and technological interest in critical (strategic) mineral raw materials, given their natural scarcity, is of key importance in the global economy. A country's (or region's) supply of raw materials is a factor of economic security, autonomy and an insurance against global crises. Global and regional analytical researches on the mineral resource assessment in the context of circular and resource efficient (low-carbon) economy development have revealed a number of problematic issues related to different methodological approaches to the assessment, classification, accounting and management of critical mineral raw materials (CRM). The standardization of such approaches for economically related regions is the way to create reliable critical mineral raw material supply chains and ensure sustainable economic development. In order to complete the outlined tasks, a wide range of studies has been used, including general scientific and special methods of scientific and applied research. In addition to general theoretical methods of analysis, statistics and systematization, a complex of methods of geological and technical-economic study of mineral raw materials has been used to achieve the set goal and complete specified tasks. Authors have attempted to define the concept of critical mineral raw materials by using basic criteria and methodical approaches of the United Nations Framework Classification (UNFC). Various classification systems used for the assessment and management of critical mineral raw materials have been considered. Practical experience of the UNFC application during the assessment of CRM resource potential in Ukraine (excluding hydrocarbons and groundwater) based on the list of the European Union has been presented. Considering the current state of the mineral raw material resource base of Ukraine, authors have suggested methodological tools for bringing the State Balance into compliance with the integrated systematic accounting in accordance with the UNFC. The analysis of the State Balance of Ukraine using the UNFC approaches has revealed primary prospects for the mineral and raw material base development, which are related to potential and perspective projects on 22 elements from the EU list of critical mineral raw materials. Ukraine possesses all the prerequisites to participate in European Union programs designed to create sustainable models of supply chains for various resources for the transition to closed-cycle zero waste consumption.

Research on the construction of rural resource potential assessment system model based on NPH theory

In the modern urban and rural development environment, the impact of urbanization has led to blind development of rural areas and excessive artificial behavior. Rural revitalization and utilization can effectively solve the problem of mechanical and stereotyped use of rural resources. However, in the actual activation process, there are also problems such as good and bad, widely different evaluation standards, and neglecting the basics. This article builds a rural resource potential assessment system model to stimulate rural potential resources and highlight rural characteristic elements based on reasonable activation of the countryside. It integrates the natural ecology, local spiritual culture, and healthy life of the NPH concept into the assessment system, and gathers keywords through Cite Space. Through three stages: category research, IBM SPSS factor layer and indicator layer credibility and validity analysis, and AHP analytic hierarchy process screening, a rural resource potential assessment system model was constructed to provide direction for rural activation and utilization.

Screening and identification: Evaluating the transformation suitability of rural complexes through industrial resource potential in Changsha, China

Promoting sustainable development in rural areas through industrial transformation has emerged as a global consensus. The rural complex, characterized by its integration of industrial elements, serves as an advantageous target for China's rural transformation and development. However, the lack of accurate assessment and identification of industrial resource potential has impeded the progress and growth of rural complexes. Therefore, there is a pressing need for an evaluation framework that includes screening and identification functionalities to effectively guide the industrial transformation of rural complexes. Commencing with a precise definition of rural complexes and an explanation of relevant policies, this study combines qualitative theoretical constructs with quantitative multi-criteria decision-making models. Additionally, the study incorporates the gravity model to measure the impact of urban radiation on rural areas. The resulting framework for evaluating industrial resource potential consists of "3 + 7" Modules. Subsequently, utilizing Changsha as a case study, the effectiveness of the evaluation framework is verified across 804 administrative villages. The findings classify these villages into three regions, revealing a circular distribution pattern characterized by decay from the urban center towards the periphery, except for education. Moreover, all modules demonstrate significant spatial autocorrelation. Infrastructure and the ecological environment exert a substantial influence on other industries, while notable synergies exist among the Internet, culture, tourism, and science & technology innovation. Finally, based on the findings, five development suggestions are proposed, focusing on spatial integration and construction mechanisms. The study strengthens the theoretical understanding of rural complexes, provide a practical decision-making tool for project approval processes and the diagnosis of rural industries, and enhance the strategic investment approach toward rural revitalization.

MINERAL POTENTIAL OF STRATEGICAL AND CRITICAL MINERAL RAW MATERIALS FOR DEVELOPMENT OF HIGH TECHNOLOGICAL INDUSTRY OF THE RUSSIAN FEDERATION

The paper briefly describes the state system of regional geological study of the subsoil, implemented by Rosnedra and VSEGEI, which provides an assessment of the country's mineral resource potential for strategic types of minerals. In 2022, VSEGEI completed the compilation of a set of digital monometal maps of distribution patterns and prediction of strategic and critical types of minerals in the Russian Federation at a scale of 1:2.5 M in GIS format. Reserves of these types of minerals were assessed based on the state accounting system, and an expert reassessment of inferred resources was carried out. As a result, regional predictive criteria concerning the localization of areas promising for the discovery of mineral deposits were developed. Recommendations were given on the organization of additional site appraisal-200/2 and (or) geological and mineragenic mapping-200 on specific nomenclature sheets, promising for exploration for strategic types of minerals

Feasibility and Potential Assessment of Wind Resource a Case Study in North Shewa Zone, Amhara, Ethiopia

The assessment of wind resource potential and feasibility is critical for generating and forecasting power generation, as wellas resource identification. In Ethiopia, the majority of the country lacks a wind atlas, making it difficult to determine the availability of sources. Seven different areas (Debre Berhan, Alem Ketema, Mehal Meda, Eneware, Gundo Meskel, Majete and Shewa Robit) were investigated. For the work data was collected from various sources and analyzed using MATLAB software. The basic sources of data that were obtained nationally were from the NMA, which is the National Metrological Agency found in Addis Ababa, and were obtained centrally from each local delegate’s registered report from a height of 2 meters and 10 meters in each listed districts above. According to the results analysis, the average wind speed at most sites is reasonable and 4 m/s at a height of 10 meters, and some of the case study sites have an average wind speed of less than 3 m/s. The extrapolation prediction method produces more realistic results at 30 and 50 meters; for example, when 10 meter is extrapolated to 30 and 50 meters, the wind power densities are 75.2 w/m2, 300.9 w/m2, and 680.5 w/m2, respectively. Similarly, the average yearly energy density for 10 meter, 30 meter, and 50 meter is 2110.8, 4122.6, and 8219.9 Kwh/m2/year, respectively. As per the international standard for wind power and wind speed classification, Eneware and Mehal Meda are categorized under class 7, whereas Debre Berhan is categorized under class 3, while the remaining sites such as Shewarobit, Gunde Meskel, Alem Ketema, and Majete are classified under class 1 for the majority of the year.

Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology.

As one of the clean energy sources, geothermal resources have no negative impact in changing the climate. However, the accurate assessment and precise identification of the potential geothermal resource is still complex and dynamic. In this paper, ~2,000 large-scale high-precision gravity survey points are conducted in the north of the Tianchi caldera, Changbaishan. Advanced data processing technologies can provide straightforward information on deep geothermal resources (Hot source, caprock, geothermal reservoir and geothermal migration pathway). Upwards continuation and the technologies decode two dome shaped low and gentle anomalies (-48 × 10-5 m/s2-65 m/s2) and a positive gravity gradient anomaly (0.4 × 10-7 m/s2-1.6 × 10-5 m/s2) in large-scale high-precision gravity planar. According to two point five dimensional man-machine interactive inversion technology and the research on petrophysical parameters, the density of the shied-forming basalts in the two orthogonal gravity sections is 2.58 g/cm3. The relatively intermediate to high density (2.60-2.75 g/cm3) represents geothermal reservoir, and low density (low to 2.58 g/cm3) is the geothermal migration pathway. In addition, large-scale high-precision gravity planar with a solution of about 1/50,000 indicate that the north of the Tianchi caldera exits the sedimentary basin and uplift mountain geothermal system.

ASSESSMENT OF THE NATURAL RESOURCE POTENTIAL OF THE IMPORTANT BIRD AREAS OF THE NORTH KAZAKHSTAN REGION FOR THE DEVELOPMENT OF ORNITHOLOGICAL TOURISM

To assess the potential of the allocated Important Bird Areas (IBA) of the North Kazakhstan region for the development of ecological tourism in the region. The work uses the materials of field research of domestic and international ornithological expeditions, cartographic method, statistical and mathematical processing of the data obtained. The territory of the North Kazakhstan region is of interest for the development of ornithological tourism. This is facilitated by the natural resource potential of the allocated promising IBA. The borders of these territories coincide with lake ecosystems located in the forest-steppe and steppe zones of the region. The selected ornithological areas are confined to lake ecosystems that are on the way of migrations and nesting of birds. IBA are characterized by floristic and faunal diversity, insignificant human development. The habitation of rare and endangered species has been noted. The presence of roads ensures accessibility to the studied territories of tourists and wildlife lovers from Kazakhstan, near and far abroad. The allocated territories may be used not only for ornithological, but also for recreational and educational tourism, as well as amateur fishing. The results of the resource potential assessment confirm the prospects for the development of ornithological tourism in the territory of the North Kazakhstan region in the implementation of environmental measures aimed at preserving the uniqueness of ecosystems. The selected IBA have significant natural resource potential and uniqueness. Key territories associated with lake ecosystems can serve for the development of ornithological and recreational tourism. The comprehensive assessment made it possible to identify the weighting coefficient of the studied properties of the territories. This confirms the fact about the prospects of their use as unique natural objects for scientific research, amateur fishing, various types of tourism on the territory of the North Kazakhstan region.

Analysis of Resource Potential of Emergent Aquatic Vegetation in the Curonian Lagoon of the Baltic Sea

This paper presents results of an aquatic vegetation resource potential assessment. The study is aimed at assessing the perspective of biotechnological approaches to reducing the biogenic pollution of water bodies by the removal of aquatic vegetation. The article analyzes the dominant species of aquatic vegetation in the Curonian Lagoon, and their productivity and resource potential. It was established that the concentrations of protein and fat in the biomass of four dominant plants are extremely low, making it impossible to speak of their values in terms of biomass processing. Based on elemental composition, we can conclude that the biomass of Phragmites australis should have a high calorie content because it has a high carbon and hydrogen content (49.6% and 7.1%, respectively), resulting in a high energy value. Synchronous thermal analysis revealed that the maximum energy values of biomasses of Phragmites australis and Scirpus lacustris have a net calorific value of 12.62 and 12.55 MJ/kg, respectively. At the same time, the biomass of these plants has a low ash content (around 6.6–7.6%) and a low sulfur content (less than 0.41%). An analysis of the composition of aquatic vegetation biomass samples allowed us to establish that, given the permissible collection time (no earlier than September), the search for directions in the utilization of aquatic vegetation should focus on processing cellulose with the production of crystalline cellulose, biochar, or biofuel via anaerobic digestion. The removal of the excess biomass of aquatic vegetation (Phragmites australis) will allow the reduction of the nitrogen and phosphorus load in the water body by 140 kg/ha and 14 kg/ha, respectively.