Resources In Areas Research Articles

Effects of groundwater level changes on soil characteristics and vegetation response in arid and semiarid coal mining areas.

Coal mining in arid and semiarid regions often leads to numerous ecological and environmental problems, such as aquifer depletion, lake shrinkage, vegetation degradation, and surface desertification. The drainage from coal mining activities is a major driving force in the evolution of the groundwater-soil-vegetation system. In order to explore the effect of groundwater level fluctuation on soil properties and the response mechanism of surface vegetation in coal mining areas, this study is based on hydrogeological and ecological vegetation investigations in the Bojianghaizi Basin, and soil and vegetation samples are collected in the areas with different groundwater levels, and soil and vegetation indexes are analyzed with the aid of methods such as numerical statistics, linear regression, and correlation analysis with the aid of the Origin software. The results show that there is a significant negative correlation between groundwater table (GWT) and soil water content (SWC), soil conductivity, soil organic matter (SOM), soil available nitrogen (SAN), and soil available potassium (SAK). Mining activities have led to the destruction of the soil structure, greatly reducing its ability to retain water and fertilizer. The contents of SWC, SOM, and SAN in the mining area are significantly reduced, which are at least 49.73%, 47.56% and 59.90% lower than those around the mining area. On the northern and southern sides of the lake, serious soil salinization exists in the lakeshore zone where the depth to the water table is <0.5m, and the water required for the growth of vegetation here mainly comes from the groundwater, so there are only a few water-loving and saline-resistant plants; when the depth to the water table is 0.5-7m, the growth of surface vegetation is influenced by the double impacts of the water table and atmospheric precipitation with a high degree of species richness; when the depth to the water table is >7m, the surface vegetation is only dependent on the limited atmospheric precipitation for water. When the depth of groundwater is >7m, the surface vegetation only relies on limited atmospheric precipitation for water, and drought-tolerant plants mainly grow in these areas. This study not only provides a scientific basis for the sustainable development and environmental protection of similar mines in the world, but also has important significance in guiding the ecological management and rational utilization of water resources in coal mine areas. What is more, This study provides valuable insights into sustainable water resource management in arid and semi-arid regions, crucial for mitigating the ecological impacts of coal mining activities.

The Frasnian stage of the Upper Devonian in Nakhichevan Autonomous Republic (Southern Transcaucasia)

Marine carbonate-terrigenous deposits of the Lower (partially), Middle, and Upper Devonian, rich in coral-brachiopod and other fauna, are widespread across the territory of the Nakhichevan Autonomous Republic. Various ore and non-metallic minerals are associated with these deposits: the Gyumushlug and Yaydzhinsky polymetallic deposits, etc. Further ex-pansion of the mineral resources of the study area, as well as the challenges associated with the establishment of large-scale geological mapping in this region, make the development of a detailed stratigraphic scheme crucial. An indispensable condition for the creation of such a scheme is the study of the most characteristic groups of ancient organisms, among which brachiopods play a dominant role in the organic world. Devonian deposits in the Southern Transcaucasus are distributed over a limited area – in the western part of the Na- khchivan Autonomous Republic – but they are widespread here and are represented by all three well-characterized faunal divisions. For the first time, a diagram has been compiled, reflecting the sequence of appearance and distribution over time of Devonian brachiopods. On this basis, a scheme for the zonal division of the Devonian deposits in the region has been developed, identifying 20 biostratigraphic zones and 16 stratigraphic units (formations). This study summarizes the scattered information contained in various sources on the paleontology and stratigraphy of the Devonian period in the region. The identified brachiopod zones are linked to standard conodont zones. The great importance of brachiopods is determined by the fact that they are one of the most effective groups of fauna not only for dating sediments in natural outcrops, but they also provide good results for broad interregional correlations. Based on the macrofaunal complex, the Frasnian age of the sediments within the formation in question is firmly established. A detailed biostratigraphic scheme with zonal division of the Devonian deposits of Transcaucasia was developed, based on the most important stages in the development of the brachiopod fauna. Biostratigraphic zones, formations, and subformations identified in the Devonian deposits of the Nakhchivan Autonomous Republic and adjacent areas, based on the study of the entire complex of organic remains, mainly brachiopods and cono- donts, can be compared with corresponding deposits of typical sections of Western Europe (Ardennes and Eifel Mountains) and many regions of Eurasia. The obtained data are of practical importance for theoretical geologists, prospectors and developers.

Balancing Economic Growth, Carbon Emissions, and Sequestration: A Multi-Objective Spatial Optimization in Zhengzhou Metropolitan Area in China

As China’s “Dual Carbon” strategy is implemented and the new urbanization advances, balancing economic development, emission reduction, and carbon sequestration has become an important issue during the growth of emerging metropolitan areas, and it is also important for achieving high-quality urban development. Therefore, this study had three major objective functions: economic growth, carbon emission reduction, and increased carbon storage. The multi-objective land use quantity structure was solved using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and the best solution in the solution set was introduced using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for evaluation. Finally, combined with the Future Land Use Simulation (FLUS) model, the low-carbon evolution of the metropolitan area was predicted on a spatial scale. The trade-off plan results show that by 2035, the economic benefits will reach CNY 7.65 trillion, carbon emissions will be kept under 99.24 million tons, and carbon storage will steadily increase by 15.2 million tons. Therefore, optimizing land use from the perspective of balancing carbon emissions, carbon sequestration, and economic development can provide valuable references for planning low-carbon development and the rational use of spatial resources in future metropolitan areas.

Land Use Change and its Impact on Terrestrial Biodiversity of Surrounding Areas of Jim Corbett National Park

Located at the Shivalik Himalayas' foothills, near the worldwide popular hill-station of Nainital, the beautiful park is famous for being home to a huge number of Bengal tigers, the highest among any Indian national park. So many other mammals, including tigers, leopards and elephants (wild), roam in this park. On the edge of the Western Ramganga Reservoir, the Sonanadi zone is habitat to elephants and leopards, along with more than hundreds of species of fowl. Also CNP is a prime protected area of Uttarakhand forest as it provides ecological viable, profitable and sources of different income for local people. Dense forest cover is one among the most natural resources for every animal (Including human) directly and indirectly. But rapid excessive exploitations of the different vegetation, woods, shrubs species for human development here are now under the threat of biodiversity loss and uncovering forests. Present study focused on significance of terrestrial biodiversity, reason of land use changes and threats to terrestrial biodiversity (TB) because of land use change, terrestrial biodiversity of the local area is influencing by various ways. For continuous use of the forest ecosystems, it is very important to find the land use land covers changes and its negative impacts on biodiversity and surrounding environment. Forest resources are the full of vital material, base of direct and indirect human’s continuous progress and it needs to monitor the status and change of forest resources timely for logical exploitation of forests and its renewal. Present study focused on monitoring the changes in the forest areas, surrounding barren land, build-up area and natural resources.

Peer Review of “Viability of Mobile Forms for Population Health Surveys in Low Resource Areas (Preprint)”

Peer Review of “Viability of Mobile Forms for Population Health Surveys in Low Resource Areas (Preprint)”

Increased food crop diversification and gathering of wild plants associated with women's dietary diversity in Chad.

Women of reproductive age are particularly vulnerable to low-quality diets due to their higher micronutrients needs. The minimum dietary diversity for women (MDDW) is a proxy for micronutrient adequacy in this group of women. Its relationship with other aspects that lead to malnutrition is not fully elucidated and depends on the context. In this study, we assessed the prevalence of MDDW among women of a rural area in Chad and its association with socioeconomical, agricultural, dietary and food security data. A cross-sectional study was conducted. Following a multistage cluster sampling, 984 women of reproductive age were randomly selected and interviewed in March 2019. We obtained food consumption data through unquantified 24 h recalls and computed MDDW as consuming at least five out of 10 predefined food groups. We constructed a Food Production Diversity Score (FPDS) with crop and livestock information. We obtained multivariable logistic regression models including different covariates. MDDW was achieved by only 33% of women in the sample. In our final model, we identified a significant association of MDDW with the FPDS and gathering ofwild plants. Women in households with the highest FPDS had 70% more chances of achieving MDDW than those with the lowest FPDS. Gathering wild plants doubled these chances. Areas of cultivated land,Water, Sanitation and Hygiene resources, and a high level of food security, measured with the Household Food Insecurity Access Scale,were also significantly related to the achievement of MDDW. This illustrates the importance of nutrition-sensitive policies, also considering biodiversity and food production diversification.

Applying the water quality indices and geographic information system approach to assessing the suitability of groundwater quality for drinking and irrigation purposes in the semi-arid region of Tebessa-Ain Chabro, Northeastern Algeria

Assessing the groundwater quality is important for the efficient exploitation of water resources in semi-arid areas. The study area in northeast Algeria mostly depends on groundwater as its main source of water, and the quality of groundwater is becoming important due to the increasing need for freshwater. The hydrochemical characteristics and water quality of groundwater in the Tebessa-Ain Chabro were assessed using water quality indices, geochemical modeling, and multivariate statistical approaches. The study discovered that the groundwater samples could be classified into four distinct water groups using hierarchical cluster analysis in Q mode (HCA) based on their electrical conductivity. We identified three forms of water: mixed (Ca2+–Mg2+–Cl−), Na+–K+–HCO3−, and Ca2+–Cl−. According to the water quality assessment, only 38% of the samples were deemed suitable for human consumption, while 34% were categorized as poor water, 10% as extremely poor, and 17% as unsafe for drinking. The irrigation water quality index identified four classifications: low, moderate, high, and severe restriction, with corresponding percentages of 31%, 31%, 7%, and 31%. The nitrate pollution index (NPI) showed that 48% of samples fell into the moderate pollution class. Human activity, such as sewage infiltration and waste disposal in open areas, was the cause of this nitrate contamination. The saturation index values showed that groundwater was less saturated in halite and sylvite and more saturated in aragonite, calcite, dolomite, anhydrite, gypsum, and hydroxyapatite. The Tebessa region’s groundwater’s hydrochemical properties and water quality have been assessed using multivariate statistical techniques, geochemical modeling, and water quality indexes. The study’s conclusions can provide a foundation for upcoming research evaluating the region’s groundwater quality.

PSXIII-8 Determining the effects of selenium content of high-selenium forages on weight gain in growing lambs

Abstract High selenium (Se) forages grow on seleniferous soils in many parts of the world and upon Se-contaminated rangelands such as in the Western Phosphate Resource Area in the western United States. When consumed in large enough amounts or for extended durations, animals can be poisoned, developing acute or chronic selenosis. Naïve livestock will indiscriminately consume forage with increased concentrations of Se if available. However, most animals upon ingesting a sublethal Se dose will become averted to Se-rich plants and select forages with decreased Se concentrations. The purpose of this study was to determine Se concentrations in feed that cause reduced feed intake and decreased body weight (BW) gain in growing lambs (6 to 8 mo of age). Lambs (n = 5) were randomly divided into four groups and were fed a control pellet (&amp;lt; 1 ppm Se) at 1.5% of their BW and had free choice to a custom Se alfalfa pellet containing &amp;lt; 1 (control), 10, 20, or 40 ppm Se for 8 wk. During the 8 wk period the lambs gained 32.9 ± 4.1, 27.8 ± 1.8, 18.9 ± 9.2, and 7.4 ± 2.8% (mean ±SD) of their initial BW in the &amp;lt; 1 (control), 10, 20, or 40 ppm Se groups, respectively. After the 8 wk were completed, the lambs were fed only the custom Se alfalfa pellets, with &amp;lt; 1 (control), 10, 20, or 40 ppm Se, free choice for four additional weeks. As Se concentration in the pellets fed increased, the feed intake and BW gains significantly decreased. Lambs in the control and 10 ppm Se groups ate approximately 2-fold more than the lambs in the 40 ppm Se group, which lost over 3% of their initial BW. Understanding the concentration of Se in forages and how it affects appetite and BW gain allows range managers to better manage seleniferous or Se-contaminated ranges to safely use sheep on these types of rangelands. Additional work is needed to better understand the management of other livestock species grazing on high Se-containing ranges and pastures.

Knowledge of and attitude towards depression among urban and rural residents in Beijing: a cross-sectional study

ObjectivesTo compare the level of knowledge of depression, recognition ability and attitudes towards depression among urban and rural residents in Beijing.DesignA cross-sectional study.SettingSix districts in Beijing, China, 2021.ParticipantsA total of...

Machine learning in geography education: Evaluating student performance in rural china

The disparity in the development and application of educational resources between urban and rural areas is pronounced, with rural students often encountering significant challenges in acquiring geographic knowledge and developing spatial cognitive skills due to their geographical isolation and limited access to educational resources. This study aims to investigate the effectiveness of geography education resource development in rural areas by examining the influence of various educational resource characteristics on students' scores in geography education. Through the application of data analysis and machine learning predictive methods, this research explores the impact of 13 variables, including gender, age, parental education level, family background, internet accessibility, outdoor practical activities, and family outdoor travel frequency. These factors were modeled and assessed using a range of machine learning algorithms. The findings reveal differential impacts of these characteristics on students' scores in geography education, with models such as Random Forest and XGBoost demonstrating superior performance in predicting scores in geography courses. This research provides empirical data and a scientific framework to support the optimization of geography education resources in rural areas, offering theoretical and practical insights for advancing educational equity and fostering local socioeconomic development.

Educational Research Methodology Trends of Southeast Asia English Major Undergraduate Theses: A Content Analysis

The present study thoroughly examines the predominant research methodology trends and topics applied in a specific time frame from 2019 to 2023 in educational research of the online searchable undergraduate theses in English major programs across Southeast Asia, utilizing a comprehensive content analysis approach. By employing keyword extraction, topic-specific modelling, and thematic evaluation, our objective is to ascertain the prevailing methodologies in English language teaching and the research interest themes from 347 undergraduate downloadable theses that have been investigated. The analysis explores the possible ramifications of these patterns on the caliber of undergraduate research, English language instruction, and the broader education domain within the given area. This study revealed a strong preference (54.5%) for quantitative approaches, highlighting the importance of empirical methodologies. Additionally common were qualitative approaches (24.8%), suggesting an increasing recognition of the importance of examining human factors. While action research (8.4%), particularly Classroom Action Research (CAR), was less prevalent than mixed-method approaches (12.8%), this suggests that action research needs to be recognized. The different ratios of research methods demonstrated a dedication to investigating various questions and advancing knowledge in language, literature, and education. The interesting research themes identified the complex and diverse nature of English language raising focus in Southeast Asia such as technological integration, teacher development, cultural studies, assessment, and language teaching methodologies. The study provides useful information for enhancing research mentorship and education, and it improves knowledge of research trends in this setting. Furthermore, the findings obtained from this study have the potential to contribute to the enhancement of curriculum design, instructional approaches, and distribution of resources in the English language education research area.

Pemanfaatan Lubang Biopori Sebagai Resapan Air Hujan dan Kompos Alami di Wilayah Kelurahan Pasuluhan Kecamatan Walantaka

This research aims to evaluate the effectiveness of using biopore holes in Pasuluhan Village as a means of absorbing rainwater and producing natural compost. To manage the intensity of rainwater entering the soil and processing organic waste, Pasuluhan residents can create biopore absorption holes as a simple technology that has great potential in managing the intensity of rainwater absorbing into the soil and managing organic waste. The method used includes making biopore holes in 6 strategic locations in the Pasuluhan area. Several points were used to make biopore holes, namely at the residences of Pak Sukriadi, Pak Subur and Pasuluhan Village. The research results show that biopore holes are able to increase the soil’s absorption capacity for rainwater, which has a positive impact in reducing waterlogging and flooding. Apart from that, biopore holes have also proven effective in processing organic waste into compost which is beneficial for soil fertility. Thus, it is hoped that the application of this technology can be a practical and environmentally friendly solution and can be easily applied by local residents in managing water and waste resources in the Pasuluhan area.

Assessment of microbial diversity in various saline soils driven by salt content

The Yellow River Delta, as an important reserve land resource area, faces soil salinization problems. Understanding the bacterial community composition in saline soils is an important foundation for control and utilization of saline soils. However, few studies have been conducted on the composition of bacterial communities in soils with different degrees of salinization. Thus, saline soils categorized into low-salinity (LS), medium-salinity (MS), and high-salinity (HS) based on electrical conductivity (EC) were collected. The 16S rRNA high-throughput sequencing analysis was performed to analyze the effects of salinities on soil bacterial community patterns, as well as the relationships between soil bacterial communities and environmental factors. The results showed that Actinobacteriota, Proteobacteria, Chloroflexi, Firmicutes, Acidobacteriota, Gemmatimonadota and Bacteroidota accounted for almost 90 % of all the bacterial community. The linear discriminant analysis effects (LDA > 3.7) showed that 6, 5 and 3 biomarkers were present in LS, MS and HS soils, respectively, which indicated EC was an important factor influencing the saline soil bacterial community patterns. Redundancy analysis further revealed that the primary environmental parameters impacting the bacterial community were pH, EC, nitrate nitrogen, available phosphorus, total phosphorus, and soil organic matter. According to network analysis, the microbial network complexity was increased steadily with increasing of soil salinity. These findings together revealed that bacterial communities could serve as a reliable way to assess and improve the quality of salinized soils.

A survey on NLP tasks, resources and techniques for low-resource Telugu-English code-mixed text

With the proliferation of informal content on various social media platforms in the form of posts, comments, and feedback, the importance of analyzing text in code-mixed form is gaining importance. Telugu, a low-resource Indian language, has a lot of online content being generated in code-mixed form. However, the lack of large corpora, annotated data and Natural Language Processing (NLP) resources are impeding research on Telugu-English code-mixed data. This paper provides a survey of existing literature on Telugu-English code-mixed text in the areas of resources, POS tagging, Named Entity Recognition, language identification, sentiment analysis, application tasks, dialog systems, and Question-Answering. Various datasets being used by the researchers in the field, along with methods applied to them are detailed. Research gaps are identified to provide future direction for researchers working in this field.

Total Plate Count Analysis and Food-Contaminating Bacterial Identification of Smoked Tatihu (Thunnus albacares) Sold in Several Traditional Markets in Ambon, Indonesia

Highlights:1. This research provides important information regarding the food safety of smoked tatihu (yellowfin tuna) sold in several traditional markets in Ambon, Indonesia.2. We find that smoked tatihu fish samples examined at 2 of 3 traditional markets in Ambon city are unsafe for consumption according to the Indonesian National Standard due to bacterial contamination.3. The findings indicate that smoked fish can be contaminated by Gram-positive bacteria, such as Staphylococcus gallinarum, Staphylococcus sciuri, Rothia kristinae, and Staphylococcus pseudintermedius. Abstract The large marine area and abundant fish resources of Maluku Province, Indonesia, are in contrast to the poor hygiene of its traditional markets, which can cause microbial contamination and taint processed products, such as smoked tatihu (yellowfin tuna). In Ambon city, Maluku, Indonesia, no research had been conducted concerning total plate count analysis and food-contaminating bacterial identification that could guarantee the microbiological safety of smoked tatihu. Therefore, this study aimed to assess the microbiological quality of smoked tatihu according to Indonesian National Standards (INS 2725:2013) and to identify any presence of food-contaminating bacteria. This research was a quantitative descriptive study with a true experimental laboratory approach. The samples used were smoked tatihu collected from three traditional markets in Ambon, Indonesia. The spread plate method was used in the isolation process, while the total plate count analysis was performed to estimate the quantity of colonies on each petri dish. Bacterial identification was carried out macroscopically and microscopically. The microscopic identification involved Gram staining to determine the shape and color of the bacteria. Additionally, the bioMérieux VITEK 2 Compact system was utilized for biochemical identification to ascertain the species of bacteria present. The results revealed that the colony counts in smoked tatihu from the Mardika market and Hative Kecil market were 1.1 x 104 CFU/g and 8.2 x 106 CFU/g, respectively. However, smoked tatihu from the Batu Meja market had an excessive number of colonies that were difficult to quantify. The contaminating bacteria were identified as Staphylococcus gallinarum, Staphylococcus sciuri, Rothia kristinae, and Staphylococcus pseudintermedius. In conclusion, smoked tatihu fish from the Mardika market are considered safe for consumption as the microbiological parameters do not exceed the Indonesian National Standards, whereas those obtained from the Hative Kecil and Batu Meja markets are unsafe for consumption due to the excessive presence of food-contaminating bacteria.

European Green Deal: Substantiation of the Rational Configuration of the Bioenergy Production System from Organic Waste

A review of the current state of the theory and practice of bioenergy production from waste allowed us to identify the scientific and applied problem of substantiating the rational configuration of a modular anaerobic bioenergy system, taking into account the volume of organic waste generated in settlements. To solve this problem, this paper develops an approach and an algorithm for matching the configuration of a modular anaerobic bioenergy production system with the amount of organic waste generated in residential areas. Unlike the existing tools, this takes into account the peculiarities of residential areas, which is the basis for accurate forecasting of organic waste generation and, accordingly, determining the configuration of the bioenergy production system. In addition, for each of the scenarios, the anaerobic digestion process is modeled, which allows us to determine the functional indicators that underlie the determination of a rational configuration in terms of cost and environmental performance. Based on the use of the developed tools for the production conditions of the Golosko residential area, Lviv (Ukraine), possible scenarios for the installation of modular anaerobic bioenergy production systems are substantiated. It was found that the greatest annual benefits are obtained from the processing of mixed food and yard waste. The payback period of investments in modular anaerobic bioenergy production systems for given conditions of a residential area largely depends on their configuration and ranges from 3.3 to 8.4 years, which differ from each other by 2.5 times. This indicates that the developed toolkit is of practical value, as it allows the coordination of the rational configuration of modular anaerobic bioenergy production systems with real production conditions. In the future, it is recommended to use the proposed decision support system to model the use of biomass as an energy resource in residential areas, which ensures the determination of the rational configuration of a modular anaerobic bioenergy production system for given conditions.

Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas

BackgroundHypertension and diabetes are major components of non-communicable diseases (NCDs), with a substantial number of patients residing in underdeveloped areas. Limited medical resources in these areas often results in underreporting of disease prevalence, masking the true extent of diseases. Taking the underdeveloped Liangshan Yi Autonomous Prefecture in China as an example, this study aimed to correct the underreported prevalence of hypertension and type 2 diabetes so as to provide inspiration for the allocation of medical resources in such areas. MethodsAssuming the true number of patients in each area follows a Poisson distribution, we applied a Compound Poisson Model based on Clustering of Data Quality (CPM-CDQ) to estimate the potential true prevalence of hypertension and diabetes, as well as the registration rate of existing patients. Specifically, a hierarchical clustering approach was utilized to group the counties based on the data quality, and then the registration rate of the cluster with the best data quality was used as a priori information for the model. The model parameters were estimated by the maximum likelihood method. Sensitivity analyses were performed to test the robustness of the model. ResultsThe estimated prevalence of hypertension in the entire Liangshan Prefecture from 2018 to 2020 ranged from 24.59 % to 25.28 %, and for diabetes, it ranged from 4.95 % to 8.42 %. The registration rates for hypertension and diabetes were 14.10 % to 24.59 % and 15.98 % to 29.12 %, respectively. Additionally, the accuracy of clustering the counties with the best data quality had a significant impact on the performance of the model. ConclusionLiangshan Prefecture is experiencing a significant high prevalence of hypertension and diabetes, accompanied by a concerningly low registration rate. The CPM-CDQ proved useful for assessing underreporting risks and facilitating targeted interventions for NCDs control and prevention, particularly in underdeveloped areas.

Identifying the genesis of hydrothermal activities in the Xiangcheng fault belt, southwestern China: Evidence from hydrochemistry and stable isotopes

Regional faults are beneficial structures for the formation of hydrothermal activities and have thus become target areas for geothermal resource utilization. Numerous hydrothermal activities have been reported along the Xiangcheng fault belt, particularly concentrating in the Batang, Xiangcheng and Shangri-La areas. In this study, hydrochemistry and stable isotopes were used to identify the genesis of hydrothermal activities in the Xiangcheng fault belt. The pH values of the geothermal water in these regions gradually decreases in this order, while the total dissolved solids gradually increase. The δD and δ18O values indicate the geothermal waters are mainly originated from snowmelt water and meteoric water. The recharge elevation of geothermal waters in Batang, Xiangcheng, and Shangri-La was 4415–4904 m, 4585–5038 m, and 3673–3969 m, respectively. Most geothermal waters belong to the hydrochemical type HCO3-Na, however some Batang geothermal water is of the SO4·HCO3-Na type, influenced by deep geothermal gas, and some Shangri-La geothermal water is of HCO3-Ca·Na type, influenced by shallow cold water and dissolution of carbonate rocks. Correlations of major ions suggest that HCO3-Na type geothermal waters are determined by the dissolution of paragonite, K-feldspar and albite as well as positive ion exchange. According to Na-K-Mg triangle diagram and mineral saturation indices, the geothermal waters do not reach full equilibrium and are mixed with shallow cold. Geothermometers, including cationic and SiO2, and geochemical thermodynamic calculations indicate that the deep and shallow reservoir temperatures are 200–240 °C and 169–193 °C for the Batang area, 194–201 °C and 119–131 °C for the Xiangcheng area, and 156–178 °C and 100–109 °C for the Shangri-La area. Conceptual models of the genesis of hydrothermal activities in the Batang, Xiangcheng, and Shangri-La areas were constructed, respectively. CaCO3 scaling is dominated in the study area. The hydrothermal activities of Batang and Xiangcheng areas with enriched deep materials and high reservoir temperatures are beneficial for rare-alkali metal (e.g., Li). The findings of this study provide a scientific basis for the development and utilization of geothermal resources in the high-temperature hydrothermal activity areas of western Sichuan.

Impact of geothermal expansion and lithium extraction in the Salton Sea known geothermal resource area (SS-KGRA) on local water resources

Impact of geothermal expansion and lithium extraction in the Salton Sea known geothermal resource area (SS-KGRA) on local water resources

Spatial differentiation and influencing factors of effective phosphorus in cultivated soil in the water source area of the mid-route of South-to-North water transfer project.

The long-term application of phosphate fertilizers in agricultural production leads to a large accumulation of phosphorus in the soil. When it exceeds a certain limit, phosphorus will migrate to surrounding water bodies through surface runoff and other mechanisms, potentially causing environmental risks such as eutrophication of water bodies and increasing the risk of water source pollution. This study takes Shiyan City, the water resources area of the mid-route of the South-to-North Diversion Project (MSDP), as the study area. Based on 701 sampling points of topsoil, geostatistics and geodetectors were used to explore the spatial heterogeneity and influencing factors of available phosphorus (AP) in the topsoil of the area. The results show that the effective phosphorus content in the topsoil of the study area ranges from 0.30 to 146.00 mg/kg, with an average value of 14.28 mg/kg, showing strong variability characteristics. Geostatistical analysis shows that among all theoretical models, the exponential model has the best fitting effect, with a lump gold effect of 0.447 and a range of 82,000 m. The soil available phosphorus content shows an increasing trend from the Central Valley lowlands to the surrounding mountainous hills. Among them, elevation is the main controlling factor for the spatial variation of available phosphorus in the topsoil, followed by soil types, planting systems, annual precipitation, and organic matter. The non-linear enhancement or dual-factor enhancement among various environmental factors reveals the diversity and complexity of spatial heterogeneity affecting available phosphorus content in cultivated soil. This study could provide scientific references for maintaining ecological security in the water source area of the MSDP, improving the precise management of AP, and enhancing cultivated land quality.