Reclamation Area Research Articles

Study on agricultural drought disaster risk assessment in Heilongjiang reclamation area based on SSAPSO optimization projection pursuit model.

Heilongjiang reclamation area serves as a crucial hub for commodity grain production and strategic reserves in China, playing a vital role in maintaining national food security. Investigating the assessment of agricultural drought risk in this region can yield valuable insights into spatial and temporal variations in drought risk. Such insights can aid in formulating effective strategies for disaster prevention and mitigation, thereby minimizing food losses caused by drought disasters. This study employs a comprehensive indicator system comprising 17 indicators categorized into hazard, exposure, vulnerability, and resistance capacity. The projection pursuit model is applied to evaluate regional drought risk, while the PSO algorithm, optimized by the SSA algorithm, addresses the limitations of low local search ability and search accuracy during the large-scale search process of the PSO optimization algorithm. This study examines and compares the optimization and convergence capabilities of three algorithms: real number encoding-based genetic algorithm (RAGA), particle swarm optimization algorithm (PSO), and sparrow algorithm-based improved particle swarm optimization algorithm (SSAPSO). The analysis demonstrates that SSAPSO exhibits superior optimization performance and convergence properties, establishing it as a highly effective algorithm for optimization tasks. The findings reveal the following trends: over time, agricultural drought risk in Heilongjiang reclamation area has generally declined, with fluctuations observed in hazard and vulnerability, an increase in exposure, and a continuous enhancement of resistance capacity. Spatially, the western region exhibits significantly higher agricultural drought risk compared to the eastern region, primarily due to elevated hazard and vulnerability, coupled with lower resistance capacity. As the agricultural economy grows and agricultural expertise accumulates, the risk of agricultural drought decreases. However, variations in economic growth among different regions lead to diverse spatial distributions of risk.

Investigating foliar application of bulk and nanoparticles titanium dioxide on fennel productivity to mitigate the negative effects of saline irrigation water

BackgroundFennel essential oils are fragrance compounds used in food and pharmaceutical sectors. One of the major impediments to expansion of fennel farming in Egypt's reclamation areas is saline water. Titanium dioxide (TiO2) or TiO2 nano particles (TiO2NP) can be utilized to boost the yield of aromatic plants cultivated under saline irrigation water. Saline water, particularly which contains sodium chloride can harm fennel plant; consequently, it was predicted that fennel production would fail in Egypt's reclaimed area, where the primary source of irrigation is groundwater consisting sodium chloride. This study sought to help fennel respond to sodium chloride by applying Ti forms to their leaves in order to reduce the detrimental effects of sodium chloride on them for expanding their production in the newly reclamation areas as a natural source of essential oil. Ti forms were applied as foliar application at 0, 0.1, 0.2 TiO2, 0.1 TiO2NP, and 0.2 TiO2NP, mM under irrigation with fresh water (0.4 dS m−1), or saline water (51.3 mM or 4.7 dS m−1).ResultsPlants exposed to 0.1 mM TiO2NP under fresh water resulted in the maximum values of morphological characters, estragole, oxygenated monoterpenes and photosynthetic pigments; while those subjected to 0.1 mM TiO2NP under saline water gave the greatest values of essential oil, proline, antioxidant enzymes and phenols. The greatest amounts of soluble sugars were recorded with 0.2 mM TiO2NP irrigated with saline water. Plants subjected to 0 mM TiO2 under saline water produced the greatest values of flavonoids, hydrogen peroxide and malondialdehyde.ConclusionTo mitigate the negative effects of salty irrigation water on fennel plant production, TiO2NP application is suggested as a potential strategy.

Long-term conventional cultivation after desert reclamation is not conducive to the improvement of soil carbon pool and nutrient stocks, a case study from northwest China

Reclamation in desert-oasis areas is effective for improving land productivity and ensuring food supply. However, the understanding of the sustainable productivity of soils under long-term conventional cultivation after desert reclamation is still poor. This study was conducted to determine soil structural properties, organic carbon stocks (SOCS) and nutrient stocks under four desert reclamation ages (0, 30, 60, and 100) in the arid region of northwest China, and evaluate the influence of long-term conventional cultivation on desert soil quality. The results indicated that soil structural stability index (SI) in topsoil improved after desert reclamation, but showed a slight downward trend after 60 years of cultivation, and farmland soil in the study area was still at serious risk of degradation (SI ≤ 5 %) overall. SOCS were enlarged by 4.2 times after desert reclamation, and nitrogen stocks (NS) and phosphorus stocks (PS) were increased by 1.2–6.5 times. However, the regression analysis showed that SOCS and NS in 0–40 cm soil layer and PS in topsoil stopped increasing after about 60-year conventional cultivation. Soil stoichiometry, pH and texture were the key factors affecting SOCS, NS and PS in oasis farmlands. In summary, our study emphasized that soil quality in arid areas was greatly improved after desert reclamation, however, long-term conventional agriculture management measures limited this improvement. Therefore, long-term conventional management of agricultural land in arid areas should introduce appropriate conservation measures to achieve sustainable soil productivity.

Application of Electrical Resistivity Tomography to Assess the Impact of Reclamation of Low-Lying Areas by Fly Ash: A Case Study from Central India

Application of Electrical Resistivity Tomography to Assess the Impact of Reclamation of Low-Lying Areas by Fly Ash: A Case Study from Central India

Diversity of Collembola on Various Post-Rehabilitation Land Covers

The success of rehabilitation has altered environmental conditions from critical land to new habitats for living organisms. One of the representative and sensitive mesofauna to environmental changes is Collembola. Various vegetation cover almost all of the rehabilitation area, which has impacts on microclimate and soil quality as important factors to Collembola existence. This study investigated the diversity and abundance of Collembola and its relation to environmental factors on various land covers, including teak, grass, and mixed stand land cover. Data were collected in an observation plot of 20 m × 20 m using purposive samples, including environmental measurements, Collembola collection, and soil samples for physical and chemical analysis. The results showed that different land covers affected the abundance and diversity of Collembola, even though the statistical analyses of TLC, GLC, and MLC were not significantly different. However, TLC has a higher litter thickness and organic material than the other land cover types. A few families of Collembola, such as Cyphoderidae, Brachystomellidae, Katiannidae, Isotomidae, Oncopoduridae, and Isotogastruridae, show their correlation to climatic and edaphic factors in a certain land cover.

Establishing a research partnership to investigate functional loss and rehabilitation towards the end of life.

Functional loss, the inability to perform necessary or desired tasks, is a common consequence of life-limiting illnesses and associated symptoms (pain, fatigue, breathlessness, etc.) and causes suffering for patients and families. Rehabilitation, a set of interventions designed to address functional loss, is recognised as essential within palliative care, as it can improve quality of life and reduce care costs. However, not everyone has equal access to rehabilitation. Despite limited life expectancy or uncertain ability to benefit from interventions, palliative rehabilitation services are often absent. This is partly due to a lack of high-quality research around optimal models of rehabilitation. Research in this area is methodologically challenging and requires multidisciplinary and cross-speciality collaboration. We aimed to establish and grow a United Kingdom research partnership across diverse areas, commencing with partners from Edinburgh, East Anglia, Lancashire, Leeds, London and Nottingham, around the topic area of functional loss and rehabilitation in palliative and end-of-life care. The objectives were to (1) develop a multidisciplinary, cross-speciality research partnership, (2) generate high-priority unanswered research questions with stakeholders, (3) co-design and submit high-quality competitive research proposals, including (4) sharing topic and methodological expertise, and (5) to build capacity and capability to deliver nationally generalisable studies. The partnership was established with professionals from across England and Scotland with complementary areas of expertise including complex palliative and geriatric research, physiotherapy, nursing, palliative medicine and psychology. Research questions were generated through a modified version of the Child Health and Nutrition Research Initiative, which allowed for the collation and refinement of research questions relating to functional loss and rehabilitation towards the end of life. Partnership members were supported through a series of workshops to transform research ideas into proposals for submission to stage one calls by the National Institute for Health and Care Research. The partnership not only supported students, clinicians and public members with training opportunities but also supported clinicians in securing protected time from clinical duties to allow them to focus on developing local research initiatives. Through our partnership we established a network that offered researchers, clinicians, students and public members the chance to develop novel skills and explore opportunities for personal and professional development around the topic area of functional loss and rehabilitation in palliative and end-of-life care. The partnership was crucial to foster collaboration and facilitate exchange of ideas, knowledge and experiences to build joint research study proposals. This article presents independent research funded by the National Institute for Health and Care Research (NIHR) programme as award number NIHR135171. A plain language summary of this article is available on the NIHR Journals Library website https://doi.org/10.3310/PTHC7598.

Available rehabilitation technology with the potential to be incorporated into the clinical practice of physiotherapists: A systematic review.

The development of prototypes capable of intervening in the area of rehabilitation in physical therapy clinical practice activities that were previously carried out in a traditional way, that is, manually, demonstrates how technology is having an impact on professional careers such as physiotherapy. The purpose of this study is to present a comprehensive examination of various technologies employed in the facilitation of patient rehabilitation, with a focus on their potential integration within the clinical practice of physical therapists. We conducted a systematic search in four electronic databases (CINAHL, Embase, PEDro, and PubMed) for research on rehabilitation technologies. The eligible studies should demonstrate a clear utilization of technology in various aspects of the clinical approach to the rehabilitation process and have been published between 2000 and 2021 in either Portuguese or English. A total of 18 articles that satisfied the selection criteria were included in the study. The studies were classified into four distinct categories of rehabilitation technologies, which were determined by the specific characteristics of the technology employed and its integration with the therapeutic approach to rehabilitation. These categories include digital technologies, artificial intelligence and/or robotics, virtual technologies, and hybrid technologies. Rehabilitation technologies possess the capacity to effectively facilitate clinical activities performed by physical therapy professionals, including injury prevention, movement monitoring, and coordination of rehabilitation programs, with minimal or negligible intervention from the physical therapist. Further research is required to ascertain the precise capabilities of various technologies in collaborating with physiotherapists to deliver comprehensive care for patients' physical well-being, encompassing both therapeutic and preventive approaches. PROSPERO registration number CRD42020222288.

Cardiovascular Risk Factors Among First-Degree Relatives of Patients with Premature Cardiovascular Disease in Malta. Baseline Findings from the CRISO Project.

A family history of premature atherosclerotic cardiovascular disease (ASCVD) confers a greater risk of developing ASCVD. However, the prevalence of ASCVD risk factors among asymptomatic Maltese adults with parental or fraternal history of premature ASCVD is unknown. The study aimed to evaluate and compare their risk with the general population. Posters to market the project were distributed in cardiac rehabilitation areas. Patients with premature cardiovascular disease facilitated recruitment by informing their relatives about the project. Medical doctors and cardiac rehabilitation nurses referred first-degree relatives. Posters were put up in community pharmacies, and an explanatory video clip was shared on social media for interested individuals to contact researchers. Those eligible were enrolled in a preventive cardiology lifestyle intervention. Their data were compared with the risk in the general population. Many first-degree relatives had a suboptimal risk profile, with 60% (N = 89) having a total cholesterol level of >5.0 mmol/L; 54% having a low-density lipoprotein-cholesterol level of >3 mmol/L; 70.5% being overweight/obese, with 62% having a waist circumference greater than the recommended values; 34.8% having hypertension; 56.2% being inadequately adherent to the Mediterranean diet; 62% being underactive, with 18% being sedentary; and 25.8% being smokers. First-degree relatives had significantly higher proportions of underactive lifestyle (p = 0.00016), high body mass index (>25kg/m2) (p = 0.006), and systolic blood pressure (p = 0.001) than the general population, with 30% having metabolic syndrome. This study determined the prevalence of lifestyle, biochemical, physiological, and anthropometric cardiovascular risk factors among asymptomatic first-degree relatives of Maltese patients with premature ASCVD. First-degree relatives had considerable prevalences of an underactive lifestyle, hypertension, and obesity, suggesting better screening and early risk factor intervention are needed to modify their risk of ASCVD.

Estimation of ecosystem water consumption and the suitable scale of cultivated land in the Karamay region and Muzat River basin based on the optimized SEBAL energy balance model and water resource constraint model

Food security is closely related to the development of human society, and the root of food production lies in cultivated land, with water conservancy as its lifeline. This study estimates the ecological water consumption of located in the arid region of Northwest China (the Karamay region and Muzat River basin) from 1990 to 2020 based on the optimized Land Surface Energy Balance Algorithm. The verification accuracy of SEBAL energy balance model is greatly improved after optimization. It was showed an increasing trend in the Karamay region and Muzat River basin, increasing at the rates of 2.84 mm/year and 2.86 mm/year respectively. The suitability of cultivated land was evaluated by combining four periods of 30 m spatial resolution land use/land cover data from 1990, 2000, 2010, and 2020, as well as the Hydrological Statistical Yearbook and Xinjiang Statistical Yearbook. Through the analysis of spatial optimization for cultivated land, it can be inferred that the primary limiting factors affecting cultivated land suitability in the Karamay region are irrigation guarantee rate (54.03%) and soil salinity (11.98%). Muzat River region are irrigation guarantee rate (32.19%) and soil salinity (18.62%). By comparing the scenarios of setting ecological priority and cultivated land priority, it is concluded that under the conditions of water resource constraints and 50%, 75% and 90% design irrigation assurance rates, Karamay still has cultivated land expansion potential, which can be used as the main preparatory reclamation area. In addition to the traditional agriculture irrigation area, the Muzat River basin still has development potential under the condition of ecological priority and no more than 75% irrigation design assurance rate. The study on the cultivated land suitability under the condition of water resource constraints can provide new ideas for food security.

Dewatering Process for Reuse of Seabed Dredging Material and Time and Cost Optimization of the Process by Value Engineering Method

The decrease in resources in the world has led people to produce new solutions for the more efficient use of resources and to use various management techniques. One of the techniques used is Value Engineering. Value Engineering strives to increase the value of structures by optimally organizing each component that makes up the structure. Increasing the value of a structure is possible by eliminating all the unnecessary costs in line with specific criteria and by providing the optimal solution between the owner, the user, and the contractor's objectives, that is, the duration, cost, and quality. This study includes the changes the Value Engineering team made to increase the value of the materials extracted from the submarine in a Container Port Terminal project without harming the environment and making them reusable. While expanding the project value, it also aimed to reduce the project duration and cost by considering the sustainability criteria. The original project was to create a clay pool while dewatering, separating the material, filling the loose sand into the reclamation area, and removing the sludge material by sea. With the recommendation of the value engineering team, the dewatering process was transformed into a method of directly pressing the dredged loose sand into the breeding area, filtering the material with geotextile tubes, and removing the material by loading it on the pontoons. With this change in the project, 42% savings were obtained from the cost and 21% from the project duration.

Clean and accurate soil quality monitoring in mining areas under environmental rehabilitation in the Eastern Brazilian Amazon.

Soil quality monitoring in mining rehabilitation areas is a crucial step to validate the effectiveness of the adopted recovery strategy, especially in critical areas for environmental conservation, such as the Brazilian Amazon. The use of portable X-ray fluorescence (pXRF) spectrometry allows a rapid quantification of several soil chemical elements, with low cost and without residue generation, being an alternative for clean and accurate environmental monitoring. Thus, this work aimed to assess soil quality in mining areas with different stages of environmental rehabilitation based on predictions of soil fertility properties through pXRF along with four machine learning algorithms (projection pursuit regression, PPR; support vector machine, SVM; cubist regression, CR; and random forest, RF) in the Eastern Brazilian Amazon. Sandstone and iron mines in different chronological stages of rehabilitation (initial, intermediate, and advanced) were evaluated, in addition to non-rehabilitated and native forest areas. A total of 81 soil samples (26 from sandstone mine and 55 from iron mine) were analyzed by both traditional wet-chemistry methods and pXRF. The available/exchangeable contents of K, Ca, B, Fe, and Al, in addition to H+Al, cation exchange capacity at pH = 7, Al saturation, soil organic matter, pH, sum of bases, base saturation, clay, and sand were accurately predicted (R2 > 0.70) using pXRF data, with emphasis on the prediction of Fe (R2 = 0.93), clay content (R2 = 0.81), H+Al (R2 = 0.81), and K+ (R2 = 0.85). The best predictive models were developed by RF and CR (86%) and when considering pXRF data + mining area + stage of rehabilitation (73%). The results highlight the potential of pXRF to accurately assess soil properties in environmental rehabilitation areas in the Amazon region (yet scarcely evaluated under this approach), promoting a more agile and cheaper preliminary diagnosis compared to traditional methods.

Combinations of Feature Selection and Machine Learning Models for Object-Oriented “Staple-Crop-Shifting” Monitoring Based on Gaofen-6 Imagery

This paper combines feature selection with machine learning algorithms to achieve object-oriented classification of crops in Gaofen-6 remote sensing images. The study provides technical support and methodological references for research on regional monitoring of food crops and precision agriculture management. “Staple-food-shifting” refers to the planting of other cash crops on cultivated land that should have been planted with staple crops such as wheat, rice, and maize, resulting in a change in the type of arable land cultivated. An accurate grasp of the spatial and temporal patterns of “staple-food-shifting” on arable land is an important basis for rationalizing land use and protecting food security. In this study, the Shihezi Reclamation Area in Xinjiang is selected as the study area, and Gaofen-6 satellite images are used to study the changes in the cultivated area of staple food crops and their regional distribution. Firstly, the images are segmented at multiple scales and four types of features are extracted, totaling sixty-five feature variables. Secondly, six feature selection algorithms are used to optimize the feature variables, and a total of nine feature combinations are designed. Finally, k-Nearest Neighbor (KNN), Random Forest (RF), and Decision Tree (DT) are used as the basic models of image classification to explore the best combination of feature selection method and machine learning model suitable for wheat, maize, and cotton classification. The results show that our proposed optimal feature selection method (OFSM) can significantly improve the classification accuracy by up to 15.02% compared to the Random Forest Feature Importance Selection (RF-FI), Random Forest Recursive Feature Elimination (RF-RFE), and XGBoost Feature Importance Selection (XGBoost-FI) methods. Among them, the OF-RF-RFE model constructed based on KNN performs the best, with the overall accuracy, average user accuracy, average producer accuracy, and kappa coefficient reaching 90.68%, 87.86%, 86.68%, and 0.84, respectively.

Sea level rise and extreme events along the Mediterranean coasts: the case of Venice and the awareness of local population, stakeholders and policy makers

Sea level rise (SLR) is among the major climate change effects threating the coasts of the Mediterranean basin, which are increasingly exposed to coastal flooding, especially along the low lying coastal plains, river deltas, lagoons and reclamation areas. Coastal erosion, beach retreat and marine flooding are already causing unprecedented environmental and socio-economic impacts on coastal populations. According to the Intergovernmental Panel on Climate Change (IPCC) these effects are expected to worsen by 2100 and beyond with a projected global SLR up to about 1 m above the current level. This study provides an overview of the Mediterranean basin, focusing on the vulnerable city of Venice, which is particularly exposed to marine flooding due to SLR and land subsidence. We show the current and future sea level trend as well as a flooding scenarios in the absence of the Experimental Electromechanical Module (MoSE), which is protecting the city of Venice since 2020. To understand the awareness of citizens in Venice to address SLR, we have engaged a group of stakeholders through a structured participatory process to develop solution-oriented, case-specific and site-specific Policy Tools. Our results show that the Policy Tools contain relevant, effective and implementable actions stemming from stakeholder interaction and consensus building, identifying relevant issues that should be considered for SLR adaptation policies. A more extensive participation in public processes is required to materialize the Policy Tools into concrete actions to help vulnerable areas adapt to the expected SLR by the end of this century.

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.

Evolution of Crop Planting Structure in Traditional Agricultural Areas and Its Influence Factors: A Case Study in Alar Reclamation

This research provides a comprehensive analysis of the spatiotemporal evolution of the regional cropping structure and its influencing factors. Using Landsat satellite images, field surveys, and yearbook data, we developed a planting structure extraction model employing the classification regression tree algorithm to obtain data on the major crop cultivation and structural characteristics of Alar reclamation from 1990 to 2023. A dynamic model and transfer matrix were used to analyze temporal changes, and a centroid migration model was used to study spatial changes in the cropping structure. Nonparametric mutation tests and through-traffic coefficient analysis were utilized to quantify the main driving factors influencing the cropping structure. During the period of 1990–2023, the cotton area in the Alar reclamation region expanded by 722.08 km2, while the jujube exhibited an initial increase followed by a decrease in the same period. The primary reasons are linked to the cost of purchase, agricultural mechanization, and crop compatibility. In the Alar reclamation area, cotton, chili, and jujube are the primary cultivated crops. Cotton is mainly grown on the southern side of the Tarim River, while chili cultivation is concentrated on the northern bank of the river. Over the years, there has been a noticeable spatial complementarity in the distribution and density of rice and cotton crops in this region. In the Alar reclamation, the main factors influencing the change in cultivated land area are cotton price, agricultural machinery gross power, and population. Consequently, implementing measures such as providing planting subsidies and other policy incentives to enhance planting income can effectively stimulate farmers’ willingness to engage in planting activities.

The Oasisization Process Promotes the Transformation of Soil Organic Carbon into Soil Inorganic Carbon

The dynamic fluctuations in the soil organic carbon (SOC) stock, a fundamental part of the terrestrial ecosystem’s carbon stock, are critical to preserving the global carbon balance. Oases in arid areas serve as critical interfaces between oasis ecosystems and deserts, with land use changes within these oases being key factors affecting soil organic carbon turnover. However, the response of the soil SOC-CO2-SIC (soil inorganic carbon) micro-carbon cycle to oasis processes and their underlying mechanisms remains unclear. Five land-use types in the Alar reclamation area—cotton field (CF), orchard (OR), forest land (FL), waste land (WL), and sandy land (SL)—were chosen as this study’s research subjects. Using stable carbon isotope technology, the transformation process of SOC in the varieties of land-use types from 0 to 100 cm was quantitatively analyzed. The results showed the following: (1) The SOC of diverse land-use types decreased with the increase in soil depth. There were also significant differences in SIC-δ13C values among the different land-use types. The PC(%) (0.73 g kg−1) of waste land was greatly higher than that of other land-use types (p < 0.05) (factor analysis of variance). (2) The CO2 fixation in cotton fields, orchards, forest lands, and waste land primarily originates from soil respiration, whereas, in sandy lands, it predominantly derives from atmospheric sources. (3) The redundancy analysis (RDA) results display that the primary influencing factors in the transfer of SOC to SIC are soil water content, pH, and microbial biomass carbon. Our research demonstrates that changes in land use patterns, as influenced by oasis processes, exert a significant impact on the conversion from SOC to SIC. This finding holds substantial significance for ecological land use management practices and carbon sequestration predictions in arid regions, particularly in the context of climate change.

Monitoring soil fertility to mitigate soil degradation in reclamation land after bauxite mining

Bauxite is one of the minerals mined in an open pit system. Mining with this system will initially cause soil degradation because the soil layer covering the bauxite ore will be removed first from the mining location. The top soil will be returned after the bauxite ore extraction is complete. Returning soil to the mining site causes quite severe soil degradation because the process of taking and returning the top soil is carried out by an excavator which mixes the soil. As a result of this process, the soil in the reclamation area changes its chemical, physical and biological properties. To mitigate soil degradation in the reclamation area after bauxite mining, soil fertility status monitoring is carried out. This monitoring activity was expected to be able to identify and reduce the level of soil damage in post-bauxite mining reclamation land.

Ground subsidence monitoring in based on UAV-LiDAR technology: a case study of a mine in the Ordos, China

Ground subsidence in Western coal mining areas is characterized by rapid deformation, extensive damage, and a wide range of impacts. The conventional observation methods are inappropriate for surface damage monitoring in high-intensity mining areas of Western China. Therefore, it is a crucial problem to quickly, accurately, and comprehensively monitor the ground subsidence and environmental damage caused by high-intensity and large-scale mining. In this study, we propose a monitoring method for the ground subsidence of high-intensity mining with Unmanned Aerial Vehicle Lidar (UAV-LiDAR) measurement technology. Taking a mine in Ordos of China as an example, the Digital Elevation Model (DEM) is obtained by Kriging Interpolation of the ground point cloud from UAV-LiDAR. Then, the multi-stage DEM differential processing is employed to get ground subsidence. Finally, the median and bilateral filters combine for denoise to obtain the high-precision ground subsidence. The results show that the accuracy of the ground DEM generated by UAV-LiDAR is 15 mm and the mean square error of the ground subsidence basin is 39 mm. UAV-LiDAR technology can quickly obtain abundant surface data and obtain high-precision ground subsidence. Therefore, the application of this technology and method in subsidence monitoring in mining areas is feasible. And it can provide support for ecological environment monitoring, land reclamation, and ecological restoration in mining areas. The research results can provide a useful basis for monitoring the surface damage of coal mining in Western China.

Carbon stock estimation in post-mining reclamation area of open coal mining in PT Berau Coal, Berau, East Kalimantan

Postmining land reclamation and revegetation activities play an important role in restoring vegetation, degraded land and controlling climate change because CO2 is sinking from the atmosphere due to the impact of mining activities. This study aims to estimate the potential for above-ground and below-ground carbon and CO2 absorption capacity at the Binungan Mine Operations Site (BMO), PT Berau Coal, Berau, East Kalimantan. Vegetation analysis was used to estimate the potential carbon stock and CO2 absorption capacity at plant ages 1-10 years using the purposive sampling method of 5 plots (20 x 20 m) each in the post-mining area studied. Biomass and carbon stocks were estimated using existing allometric models. The results showed 14 tree species from 10 families dominated by Fabaceae. Biomass was estimated at 1.13 - 128.31 Mg ha-1, carbon stocks were 0.53-60.3 Mg ha-1, and CO2 absorption was 1.95 - 221.32 Mg ha-1. Reclamation and revegetation in 10 year-old plants on reclamaied land can restore biomass, carbon stock, and CO2 absorption capacity of 70% from the initial baseline.

ДОСЛІДЖЕННЯ СТАНУ ҐРУНТІВ РЕКУЛЬТИВОВАНИХ ТЕРИТОРІЙ ПІСЛЯ ВИДОБУВАННЯ ІЛЬМЕНІТУ НА ЖИТОМИРСЬКОМУ ПОЛІССІ

The article investigates the physical and mechanical composition of the soils of reclaimed areas after ilmenite mining in Zhytomyr Polissia, in particular, the granulometric composition and moisture content of the soils of the reclaimed areas of the Irshansk Mining and Processing Plant. It also identifies soil types by their fractional composition. To carry out the research, 7 test areas were laid out: a control area undisturbed by mining, a dump of topsoil, a site after technical reclamation, and 4 sites after biological reclamation. In order to study the dynamics of reclaimed soil restoration, we selected sites reclaimed at different times. To determine the influence of tree species on the effectiveness of reclamation, we studied sites with plantations of Pinus sylvestris and plantations of Pinus sylvestris and Betula pendula reclaimed at the same time. For all the studied areas, we determined the granulometric composition of the soil by wet and sieve methods, and soil moisture content. The results of the study showed that the soils of the reclaimed areas are mostly sandy, sandy loam and clay loam. These soils are characterized by low water retention properties and low nutrient content. The study also indicated a correlation between the topography of the studied plots and moisture levels as well as the content of fine fractions in the soil. The research revealed that soils in the areas disturbed by open-pit mining are undergoing significant transformations, which has a negative impact on their forest vegetation potential. To restore this potential, it is necessary to carry out high-quality technical and biological reclamation using modern advanced methods. To improve the effectiveness of reclamation of disturbed areas, it is beneficial to apply mineral and organic fertilizers, plant nitrogen-fixing plants, and add biochar to the soil fertile layer at the stage of levelling of the area.