Efficient Use Research Articles

Peanut-based intercropping systems altered soil bacterial communities, potential functions, and crop yield.

Intercropping is an efficient land use and sustainable agricultural practice widely adopted worldwide. However, how intercropping influences the structure and function of soil bacterial communities is not fully understood. Here, the effects of five cropping systems (sole sorghum, sole millet, sole peanut, sorghum/peanut intercropping, and millet/peanut intercropping) on soil bacterial community structure and function were investigated using Illumina MiSeq sequencing. The results showed that integrating peanut into intercropping systems increased soil available nitrogen (AN) and total nitrogen (TN) content. The alpha diversity index, including Shannon and Chao1 indices, did not differ between the five cropping systems. Non-metric multidimensional scaling (NMDS) and analysis of similarities (ANOSIM) illustrated a distinct separation in soil microbial communities among five cropping systems. Bacterial phyla, including Actinobacteria, Proteobacteria, Acidobacteria, and Chloroflexi, were dominant across all cropping systems. Sorghum/peanut intercropping enhanced the relative abundance of phyla Actinobacteriota and Chloroflexi compared to the corresponding monocultures. Millet/peanut intercropping increased the relative abundance of Proteobacteria, Acidobacteriota, and Nitrospirota. The redundancy analysis (RDA) indicated that bacterial community structures were primarily shaped by soil organic carbon (SOC). The land equivalent ratio (LER) values for the two intercropping systems were all greater than one. Partial least squares path modeling analysis (PLS-PM) showed that soil bacterial community had a direct effect on yield and indirectly affected yield by altering soil properties. Our findings demonstrated that different intercropping systems formed different bacterial community structures despite sharing the same climate, reflecting changes in soil ecosystems caused by interspecific interactions. These results will provide a theoretical basis for understanding the microbial communities of peanut-based intercropping and guide agricultural practice.

Data management practices aligned with LGPD in the data science context

Data management is a comprehensive process that includes data collection, storage, organization, and maintenance for efficient data analysis and use. With data generation at unprecedented volumes and at breakneck speed, effective data management has become an operational necessity and a competitive advantage. In the context of Data Science, data is the raw material for insights and innovations, making its proper management fundamental to ensure reliability and accuracy. This article stresses the importance of data governance, security and privacy, especially in view of the increase in data protection regulations such as the LGPD. It also addresses efficiency in data management as essential to driving innovation and facilitating data-driven decision-making in organizations and academia. The ability to manage large volumes of data is unique because well-managed data provides a valuable source of information, enabling trend identification, process optimization and strategic decision making, leading to innovation and competitive advantages. Also, this article discusses LGPD compliance, not only as a legal issue, but also as an opportunity for companies to build trust with their users by demonstrating a commitment to data security and privacy. Efficient data management also involves choosing appropriate tools and technologies and implementing policies that ensure data compliance and security.

Artificial intelligence applied in water optimization in agricultural crops (OTIMAGRI)

This study introduces an innovative optimization system for agriculture, utilizing the Particle Swarm Optimization (PSO) algorithm. This system focuses on maximizing net revenue in agricultural contexts while simultaneously minimizing the consumption of natural resources and inputs, with particular attention to the efficient use of water. A distinctive feature of the system is its versatility and accessibility, being designed for easy implementation on smartphones, which broadens its reach to a variety of users, from small to large-scale farmers. The efficiency and speed in obtaining results are key aspects of this system, facilitating a more agile and informed decision-making process in the agricultural sector. The PSO algorithm, which forms the basis of the system, effectively identifies the optimal balance between input consumption and crop productivity. This study validated the system through comparisons with available literature data, focusing on specific crops such as iceberg lettuce and melon. The results not only showed consistency with existing data but in some cases, exceeded expectations. In conclusion, this system represents a significant contribution to modern agriculture, offering a reliable and easily accessible tool for economic decision-making. The ability to quickly adapt to different types of inputs, compatibility with mobile devices, and the ease of incorporating new production functions, regardless of complexity or the number of inputs, highlight the flexibility and practical relevance of this technological innovation.

Performance assessment of furrow irrigation in two different soil textures under high rainfall and field slope conditions

Furrow irrigation systems have been widely evaluated around the world. However, there is no national data indicating how efficient furrow irrigation is under Uruguayan conditions. The objective of the present work was to evaluate the performance of a system of furrow irrigation in two different soils texture. Seventeen irrigation events were analyzed in sugar-cane cultivation in northern Uruguay during 2016-17 and 2017-18 irrigation seasons. The water advance and recess curves were determined; flow rate during irrigation and runoff were monitored. The maximum furrow length studied was 100 m and the average slope was 0.24%. Application efficiencies in both types of soils were observed above 75%. These field data were compared with data simulated by the WinSRFR model, where high correlations were observed in the results of water application efficiency, distribution uniformity and runoff. These first results encourage to continue working in the efficient use of water, not only thinking about a better use of the resource but also in less loss by run-off, and therefore, less possibility of contamination and lower cost of energy and labor.

Biosorption of Technologically Valuable Metal Ions on Algae Wastes: Laboratory Studies and Applicability

In the context of a circular economy that recommends the most efficient use of wastes, algae wastes have a huge potential for valorization. In this study, algae wastes obtained after the alkaline extraction of active compounds from two types of marine algae (green algae—Ulva sp. and red algae—Callithamnion sp.) were used as biosorbents to remove metal ions from aqueous effluents. The efficiency of these biosorbents was tested for Zn(II), Cu(II), and Co(II) ions, considered technologically valuable metal ions. The batch monocomponent experiments performed under optimal conditions (pH = 5.0; 4.0 g biosorbent/L; 22 ± 1 °C) showed that more than 75% of the metal ions were removed when their initial concentration was less than 1.25 mmol/L. The experimental data were well described by the pseudo-second-order kinetic model and Langmuir isotherm model. The high values obtained for the maximum biosorption capacity (qmax: Cu(II) (0.52 mmol/g) > Zn(II) (0.41 mmol/g) > Co(II) (0.39 mmol/g) for G-AWB, and qmax: Cu(II) (1.78 mmol/g) > Zn(II) (1.72 mmol/g) > Co(II) (1.66 mmol/g) for R-AWB) show the potential use of these biosorbents to remove such technologically valuable metal ions from industrial wastewater. This possibility was tested using industrial wastewater samples obtained from the metal coating industry. The quantitative removal (>91%) of Zn(II), Cu(II), and Co(II) ions was obtained when their initial concentration was adjusted to 50 mg/L. In addition, the rapid and efficient desorption of these metal ions from loaded biosorbents by simple treatment with small volumes of HNO3 (10−1 mol/L) further emphasizes the possibility of their recovery and reuse in the technological circuit. The results included in this study indicate that algae wastes have the potential to be used in industrial effluent decontamination processes and open new perspectives for the implementation of circular economy principles.

Developing public health surveillance dashboards: a scoping review on the design principles

BackgroundPublic Health Dashboards (PHDs) facilitate the monitoring and prediction of disease outbreaks by continuously monitoring the health status of the community. This study aimed to identify design principles and determinants for developing public health surveillance dashboards.MethodologyThis scoping review is based on Arksey and O'Malley's framework as included in JBI guidance. Four databases were used to review and present the proposed principles of designing PHDs: IEEE, PubMed, Web of Science, and Scopus. We considered articles published between January 1, 2010 and November 30, 2022. The final search of articles was done on November 30, 2022. Only articles in the English language were included. Qualitative synthesis and trend analysis were conducted.ResultsFindings from sixty-seven articles out of 543 retrieved articles, which were eligible for analysis, indicate that most of the dashboards designed from 2020 onwards were at the national level for managing and monitoring COVID-19. Design principles for the public health dashboard were presented in five groups, i.e., considering aim and target users, appropriate content, interface, data analysis and presentation types, and infrastructure.ConclusionEffective and efficient use of dashboards in public health surveillance requires implementing design principles to improve the functionality of these systems in monitoring and decision-making. Considering user requirements, developing a robust infrastructure for improving data accessibility, developing, and applying Key Performance Indicators (KPIs) for data processing and reporting purposes, and designing interactive and intuitive interfaces are key for successful design and development.

Extraction of Fe and Al from red mud using carbothermic reduction followed by water leaching

Red mud, a solid byproduct from bauxite ore processing for Al2O3 production, encompasses valuable industrial metals, including Fe and Al. The objective of the present study was to investigate the feasibility of an integrated route for the efficient use of red mud for the multistep extraction of Fe and Al. Carbothermic roasting was performed in the presence of Na2CO3 to reduce iron oxide to metallic iron. Optimal roasting conditions (reductant dosage: 1 g, temperature: 900 °C, time: 120 min, and charge ratio 10:5:1) yielded a 95.6 % recovery of the magnetic fraction. Applying a magnetic gradient of 0.1 T resulted in a 92.5 % recovery of metallic iron. Subsequent water leaching, performed under optimal conditions (time: 120 min, temperature: 70 °C, pulp density: 10 %), achieved a 98.5 % leaching efficiency of Al from a nonmagnetic fraction, with and without sodium carbonate, demonstrating 26 % efficiency. Incorporating sodium salt during carbothermic roasting facilitated the reduction of iron oxide to metallic iron and activated alumina for leaching. Finally, a value-added Al product, AlPO4, was precipitated from the leachate. This approach primarily attempts to contribute to a more circular economy, reducing waste and minimizing the environmental impact.

Creating a sustainable urban ecosystem: the Azheke village model

PurposeWith rapid urbanization, cities are facing various ecological and environmental problems. Living in harmony with nature is more important than ever. This paper aims to evaluate the ecosystem and ecological features of Azheke village, a key component of the Hani Rice Terraces World Cultural Heritage in China. The focus is on exploring effective ways to improve the relationship between humans and the natural environment through urban design in order to create a livable and sustainable city that can promote the development of sustainable smart urban ecology design.Design/methodology/approachThis study conducted a systematic literature review to answer the following research questions: (1) How does Azheke design achieve harmony between humans and nature? (2) What are the effective approaches to improve the relationship between humans and nature within urban ecosystems? (3) How can urban design learn and integrate from Azheke’s ecological features to improve the relationship between humans and nature?FindingsAzheke sustains long-term human-nature harmony through traditional ecological knowledge (TEK) and efficient natural resource use. By incorporating biophilic design and nature-based solutions from Azheke, along with biodiversity-friendly urban planning, we can boost urban ecosystem health and create unique Azheke-inspired urban designs.Research limitations/implicationsThis research primarily focuses on the human-nature relationship, exploring design strategies based on biodiversity without delving into the interactions between other components of urban ecosystems, such as social-cultural and economic components.Originality/valueThis paper provides a new perspective and strategies for developing sustainable and smart urban ecology design. These findings can provide theoretical references for urban planners, designers and decision-makers.

AgriPV Systems: Potential Opportunities for Aotearoa–New Zealand

The efficient and effective use of land that agriPV, or agrivoltaic, systems offer is especially appealing for Aotearoa-New Zealand, since more than a third of its land area serves agricultural purposes. However, several factors might constrain the implementation of agriPV systems, and different values and preferences need consideration from a community acceptance perspective. As a first step, a high-level investigation into the potential suitability of agriPV systems in Aotearoa–New Zealand was undertaken. The different factors that influence performance of agriPV systems were considered. Then a GIS analysis was undertaken using the analytical hierarchy process – a multicriteria decision-making technique. The spatial data analysis provided insight to identify the regions in Aotearoa–New Zealand best suited to agriPV systems. Overall, it is estimated that 80 percent of the farmland in the country is either good or fairly suitable for agriPV developments with a number of regions identified as potential areas for further investigations.

Investigating green initiatives at South African public universities

Purpose: All institutions of higher learning including public universities in South Africa must participate in green programmes in order to be considered socially responsible. This requires a better understanding of the green environment and green initiatives. Hence, the primary objective is to identify and investigate the existing green initiatives implemented at South African universities.
 Design/Methodology/Approach: The study investigated five key green initiatives: 1) Renewable energy generation and consumption. 2) Water-saving technology and consumption. 3) Waste management. 4) Sustainable buildings. 5) Personnel training and awareness creation. A five-point Likert scale collected data across 18 criteria measuring the five green initiatives. University managers completed and returned 149 questionnaires but only 144 were usable.
 Findings: The data has marginal reliability (α=0.412), acceptable sample adequacy (KMO=0.531) and significance at the 95% confidence level (p≤0.05). The results show that universities implement 20-25% of their green initiatives. The exploratory factor analysis identified seven factors explaining a cumulative variance of 56.14%. They are: 1) Recovering natural resources and recycling. 2) Supportive infrastructure. 3) Reallocation of resources. 4) Conservation of natural resources. 5) Leadership involvement and improved communication. 6) Improved technology.7) Efficient use of financial resources.
 Conclusion: This research contributes to the "going green at universities" of knowledge in South Africa. It is valuable to students, researchers, communities and the department of education in their pursuit to implement green initiatives at universities.

Regional differences, dynamic evolution, and spatial-temporal convergence of green finance development level in China.

Green finance has great potential for supporting environmental improvement, combating climate change, and the economical and efficient use of resources. In this study, based on the panel data of 30 provinces in China from 2010 to 2020, we used the weighted TOPSIS model to measure the green finance development level (GFDL) in China and its three major regions. The Dagum's Gini coefficient, kernel density estimation, Markov chain, and the convergence model are used to analyze the regional differences, dynamic evolution, and spatial-temporal convergence of GFDL in China. The results show that, in general, the GFDL shows an upward trend, but the GFDL in various regions is unbalanced, which is characterized by the spatial distribution of "high in the southeast and low in the northwest" and "high in the coast and low in the inland". The overall difference of GFDL is showing an expanding trend, which is mainly caused by inter-regional difference. The absolute differences of GFDL between the overall country, the eastern region, and the western region are on a widening trend, while that in the central region is on a narrowing trend. In addition,the GFDLs between the overall country, the eastern region, and the western region have no significant σ convergence, while there is an obvious σ convergence trend in the central region. Further, the GFDLs in China and its three major regions have obvious absolute β convergence trends and conditional β convergence trends.

Optimizing Current Injection Technique for Enhancing Resistivity Method

Geo-electrical resistivity methods are widely used in various fields and have significant applications in scientific and practical research. Despite the widespread use of resistivity methods, current injection is a critical step in the process of resistivity methods, and the quality of current injection significantly impacts the accuracy of the resistivity measurements. One primary challenge is optimizing current injection techniques to enhance resistivity methods. The developed current injector model for the resistivity meter instrument enhances performance by increasing the voltage source to 400 Volts, extending measurement coverage. It provides three injection current options, 0.5A, 0.8A, and 1A, for efficient accumulator use, considering electrode distances and estimating earth resistance using Contact Resistance Measurement (CRM) to estimate the earth resistance. CRM mode ensures proper electrode connection before injection, thus improving measurement efficiency. The embedded TTGO LoRa ESP32 SX1276 facilitates wireless communication over 1.5 km, addressing challenges in remote and internet-limited areas. The model demonstrates reliability, validity, and durability in CRM mode and current injection measurement. Regarding reliability, we determine the relative error of the model by carrying out measurements repeatedly. In lab-scale testing, the average Relative Error in CRM mode is 0.65%, and in earth resistance measurement testing, it is 1.58%. These relative errors are below the 2% maximum error applied in the “Supersting”, a commercial resistivity instrument. The model's validity is defined by comparing the model with the measuring instrument; we have absolute error. In lab scale testing, the average Absolute Error in CRM mode is 3.08%, and in earth resistance measurement testing, it is 3.73%. The model's durability is tested by injecting current for a minute. After one minute of current injection, the power resistor component's temperature is stable at 30°C.

Actualization the Role of Women in Implementing the Green Economy to Improve Community Welfare

This research aims to analyze the actualization of women's roles in implementing the green economy concept through waste management to improve community welfare. To answer this objective, a qualitative research design was used with data collection methods using interviews and documentation. The research results show that the green economy concept can have a positive impact on community welfare. By implementing a sustainable approach that emphasizes reduction, recycling and efficient use of resources, we can create new jobs and reduce negative impacts on the environment and improve the quality of life of society as a whole. Apart from that, waste management that prioritizes green aspects can also generate additional sources of income for women through the sale of recycled materials. Thus, actualizing the role of women in implementing the green economy concept not only prioritizes environmental sustainability, but also provides benefits for family welfare and community life.

Case cancellations and associated factors on the day of surgery in hospitals of Wolaita Zone, South Ethiopia

BackgroundCancellations of elective surgery cases are frequent and have significant negative consequences. It causes wasting of valuable resources, patient unhappiness, and psychological stress of patients. Despite this, little is known about the case cancellation and associated factors on the day of surgery in Ethiopia, particularly in the study area.ObjectiveThis study aimed to assess the magnitude of case cancellation and associated factors on the day of surgery in hospitals in Wolaita zone, South Ethiopia, from May 17 to June 17, 2023.MethodsA hospital-based cross-sectional study involving 322 patients was conducted at Wolaita Sodo Zone, South Ethiopia. All elective surgical cases scheduled during the study period were included. The entire number of participants was selected using a systematic random sampling process. Epidata V.3 was used to enter data, and SPSS V.25 was used to analyze it. Binary logistic regression was used to check for a possible association. P-values < 0.05 and 95% CI were used on multi-variable analysis as the threshold for the significant statistical association.ResultA total of 313 study participants were scheduled for elective surgical procedures during the study period and gave a response rate of 97.2%. The mean (± SD) age of the study participants was 39.18 (± 10.64) years. The two-third of patients, 53(64%) were rural residents, and more than half (178, or 55.3%) of the participants were female. This finding showed that the case cancellation was 22.4% (95% CI: 19.3 -25.9%). Among the total canceled cases, 49(58.3%) were males. Variables like rural residence (AOR = 3.48 95% CI: 1.22–9.95), Lack of lab result (AOR = 2.33, 95%CI:1.20–4.51), ophthalmology dept. (AOR = 2.53 95% CI:1.52–4.49), HTN (AOR = 2.53, 95% CI:1.52–4.49), patient refusal (AOR = 3.01 95% CI:1.22–5.05), and age b/n 31 and 43 (AOR = 1.50, 95% CI:1.02–2.01) were significantly associated factors with cancellation of elective surgical cases.ConclusionIn this study schedule of case cancellation was high. The contributing factors of case cancellation were rural residence, Lack of lab results, ophthalmology dept, HTN, patient refusal, and age. To decrease unnecessary cancellations and increase cost efficiency, hospital administration and medical staff must plan ahead carefully, communicate effectively, and make efficient use of hospital resources.

Zeolite and Winery Waste as Innovative By-Product for Vineyard Soil Management

In semiarid environments, vine cultivation is a land use with a high impact with regard to soil erosion, loss of organic matter and biodiversity, contamination, and compaction. In addition, the wine supply chain produces a considerable quantity of organic waste, which remains as residues in the ecosystem. Within this context, we developed a sustainable vine management system to improve the efficient use of fertilisers by applying a by-product derived from the composting of winery wastes and zeolite. We evaluated the effects of the zeolite-based compost on the chemical, physical, and biochemical soil properties of a productive vineyard. Four treatments were set up and monitored for about two years. These were as follows: (1) Commercial compost (COM); (2) Zeolite (Z); (3) 30% zeolite and 70% winery waste compost (30 ZEO); (4) 10% zeolite and 90% winery waste compost (10 ZEO). The results demonstrated that the ZEO treatments could be considered a win–win solution able to improve soil water content, nutrient retention, carbon sequestration, and biochemical activity while also recycling wastes. In particular, 10 ZEO seems to be the amendment that best combines an improvement in soil biochemical properties with gradual and constant nutrient availability, thus satisfying, without exceeding, soil and plant needs.

Modeling of Optimal Power Generation in Small Hydropower Plants

Abstract Small hydropower plants (SHPs) have gained international attention as a reliable and versatile renewable energy source. Unfortunately, this energy source is not used efficiently. This is because these systems utilize headwaters with lower water capacity called forebays instead of large water reservoirs like dams. Since this hinders the control of electricity generation, the headwater is either wasted before it can be converted into electricity or it is exhausted very quickly and electricity generation stops after a short time. The aim of this study is to prevent the loss of electricity generation through the efficient use of SHP headwater. For this purpose, a mathematical model was created based on two SHPs operating in tandem. The mathematical model obtained was analyzed, and forebay water level simulation graphs for electricity generation at water flowrates of 2000, 4000, 6000, and 8000 kg/h were obtained. With the help of the obtained graphs, critical wicket gate openings for maximum electricity generation at flowrates of 2000, 4000, 6000, and 8000 kg/h were calculated. The results of this study are applicable to all SHPs. These results are also promising in terms of optimizing the use of a renewable energy source.

Microbial Electrolysis Cell Exergy Evaluation

Bio-electrochemical systems have increasingly become the focus of research due to their potential in environmental biotechnology, particularly in the domains of waste utilization and energy recovery. A prominent method within this domain is the transformation of organic matter into hydrogen via microbial electrolysis cells (MECs). This study offers a thorough analysis of MEC performance, employing exergy analysis and incorporating relevant data from the existing literature. The findings of this research indicate a relationship between process efficiency and effective electron transfer originating from biological oxidation to the cathode reaction, facilitating hydrogen generation. The assessment performed revealed that the exergy efficiency of the process varies by a wide range, depending on conditions such as substrate type and concentration, applied external voltage, and the presence of specific inhibitors. This interplay between substrate concentration, overall efficiency, and energy requirement underlines the complex dynamics of optimizing MEC performance. Our insights provide understanding of the challenges in bio-electrochemical systems, offering implications for their sustainable and efficient use in environmental biotechnology. The theoretical analysis involved assessing the utilization of glucose and glycerol, along with the evaluation of electrical energy consumption and hydrogen yield. Our results demonstrate that a higher applied voltage is associated with greater exergy efficiency. Furthermore, after comparing the use of glucose and glycerol as substrates, our study supports the preferential application of glucose for enhanced efficiency.

Abstract TP107: Quantifying Hospital Opportunities to Increase Thrombolysis

Introduction: Emergency-department-based implementation strategies to increase thrombolysis are promising. We sought to quantify the number of hospitals with opportunities to increase thrombolysis under various tPA treatment thresholds. Methods: We used data from the 2018 State Inpatient Databases (SID) from 17 states. The study population was limited to ischemic stroke patients admitted to the hospital. The primary outcome was the sum of patients receiving stroke thrombolysis (tPA) at each facility (DRG 61-63, ICD-10 procedure code 3E03317, ICD-10 diagnosis code Z92.82). The primary exposure was hospital stroke volume categorized into quartiles (1 st Quartile [Low]: 1-7, 2 nd Quartile: 8-53, 3 rd Quartile: 54-178, 4 th Quartile [High]: 179-1431). To estimate the number of additional patients treated if hospitals improve their thrombolysis rates across various thresholds, we calculated the expected number of thrombolysis treatments (tPA thresholds multiplied by hospital stroke volume and subtracted by the number of patients receiving tPA at each facility). Results: We identified 203,843 hospital admissions with a primary ischemic stroke diagnosis from 1608 hospitals. On average, 13.3% of patients received tPA. The proportion of stroke patients receiving tPA was higher in higher stroke volume hospitals (Table 1). Black people were more likely to receive care at high-stroke volume hospitals. Among 1608 hospitals, 1131 (70%) had tPA rates below 10%. If these 1131 hospitals improve their tPA rates to 10%, 2655 (2.3 patients/hospital/year) additional stroke patients would be treated with tPA. Conclusions: Low stroke volume hospitals have the lowest thrombolytic treatment rates, but interventions at these hospitals will have limited population benefits and may not be an efficient use of hospital resources. Intervening at high-volume, low-performing hospitals offers the largest opportunity to increase thrombolysis and will promote stroke racial equity.

A Cost-Utility Analysis Comparing Traditional Clinical, Manikin-Based Simulation, and Screen-Based Virtual Simulation Activities.

Simulation activities are used increasingly in nursing education to augment or replace traditional clinical experiences. Educators and regulators are called on to make evidence-based decisions about the use of limited clinical and simulation resources. This cost-utility analysis addresses the final aim of a study comparing cognitive learning, patient care performance, and self-perceptions of how well learning needs were met among students who were exposed to 4 hours of traditional clinical experience, 2 hours of manikin-based simulation, or 2 hours of screen-based virtual simulation. The costs of each activity were calculated and divided by a composite measure of the utility of each activity. The cost-utilities for 4 hours of traditional clinical experience, 2 hours of manikin-based simulation, and 2 hours of screen-based virtual simulation were $0.15, $0.62, and $0.38, respectively, in U.S. dollars per unit of utility. The data provide evidence for educators and administrators to make effective and efficient use of limited resources to prepare nurses for practice. [J Nurs Educ. 2024;63(2):79-85.].

Ecological-Based Mining: A Coal–Water–Thermal Collaborative Paradigm in Ecologically Fragile Areas in Western China

A substantial reduction in groundwater level, exacerbated by coal mining activities, is intensifying water scarcity in western China’s ecologically fragile coal mining areas. China’s national strategic goal of achieving a carbon peak and carbon neutrality has made eco-friendly mining that prioritizes the protection and efficient use of water resources essential. Based on the resource characteristics of mine water and heat hazards, an intensive coal–water–thermal collaborative co-mining paradigm for the duration of the mining process is proposed. An integrated system for the production, supply, and storage of mining companion resources is achieved through technologies such as roof water inrush prevention and control, hydrothermal quality improvement, and deep-injection geological storage. An active preventive and control system achieved by adjusting the mining technology and a passive system centered on multi-objective drainage and grouting treatment are suggested, in accordance with the original geological characteristics and dynamic process of water inrush. By implementing advanced multi-objective drainage, specifically designed to address the “skylight-type” water inrush mode in the Yulin mining area of Shaanxi Province, a substantial reduction of 50% in water drillings and inflow was achieved, leading to stabilized water conditions that effectively ensure subsequent safe coal mining. An integrated-energy complementary model that incorporates the clean production concept of heat utilization is also proposed. The findings indicate a potential saving of 8419 t of standard coal by using water and air heat as an alternative heating source for the Xiaojihan mine, resulting in an impressive energy conservation of 50.2% and a notable 24.2% reduction in carbon emissions. The ultra-deep sustained water injection of 100 m3·h−1 in a single well would not rupture the formation or cause water leakage, and 7.87 × 105 t of mine water could be effectively stored in the Liujiagou Formation, presenting a viable method for mine–water management in the Ordos Basin and providing insights for green and low-carbon mining.