Sustainable Management System Research Articles

A New Model of Environmental-Economic Coordination Prediction Using Credible Neural Network Integration and Big Data Analysis

Currently, a significant portion of sustained economic growth still depends on a high input of resources. We must fully understand the significance, difficulty, and long-term nature of resource conservation and environmental protection. We must also intensify our efforts to protect the ecological environment. We must gradually form a production mode, lifestyle, and consumption mode conducive to environmental protection. We must also establish a benign interactive relationship with the environment. This study offers a big data analysis and neural network integration optimization design strategy for a new kind of environmental and economic coordination prediction model. The data of the new type of environmental and economic impact with numerous parameters are preprocessed using big data analysis and principal component analysis. A neural network integration system is used to create the prediction model, and prediction research and error analysis are conducted to enhance the new kind of environmental and economic model. The simulation test analysis is completed lastly. According to the simulation findings, the proposed arithmetic has an accuracy that is 8.56% higher than that of the conventional arithmetic. A sustainable improvement management system with environmental objectives, environmental management planning plans, and environmental monitoring systems can be established with help from the new environmental and economic coordination prediction model, which can also assist in predicting the potential environmental impact caused by economic development activities. This will ensure sustainable development as a result of the mechanism.

Genomic Insights into the Mobilome and Resistome of Sentinel Microorganisms Originating from Farms of Two Different Swine Production Systems.

Antimicrobial resistance (AMR) is a threat to public health due to long-term antimicrobial use (AMU), which promotes the bacterial acquisition of antimicrobial resistance determinants (ARDs). Within food-producing animals, organic and extensive Iberian swine production is based on sustainable and eco-friendly management systems, providing an excellent opportunity to evaluate how sustained differences in AMU impact the development and spread of AMR. Here, through a whole-genome sequencing approach, we provide an in-depth characterization of the resistome and mobilome and their interaction in 466 sentinel bacteria, namely, Escherichia coli, Enterococcus spp., Campylobacter coli, and Staphylococcus spp., recovered from 37 intensive and organic-extensive pig farms. Both ARDs and mobile genetic elements (MGEs) were primarily taxon-associated, with higher similarities among bacteria which were closely phylogenetically related. E. coli exhibited the most diverse resistome and mobilome, with 85.4% mobilizable ARDs, 50.3% of which were plasmid-associated. Staphylococcus spp. exhibited a broad repertoire of ARDs and MGEs, with 52.3% of its resistome being mobilizable. Although Enterococcus spp. carried the highest number of ARDs per isolate and its plasmidome was similar in size to that of E. coli, 43.7% of its resistome was mobilizable. A narrow spectrum of ARDs constituted the C. coli resistome, with point mutations as its main AMR driver. A constrained AMU, as observed in organic-extensive herds, determined a reduction in the quantitative composition of the resistome and the complexity of the resistome-mobilome interaction. These results demonstrate taxon-associated AMR-MGE interactions and evidence that responsible AMU can contribute to reducing AMR pressure in the food chain. IMPORTANCE This study provides the first integral genomic characterization of the resistome and mobilome of sentinel microorganisms for antimicrobial resistance (AMR) surveillance from two different swine production systems. Relevant differences were observed among taxa in the resistomes and mobilomes they harbored, revealing their distinctive risk in AMR dissemination and spread. Thus, Escherichia coli and, to a lesser extent, Staphylococcus spp. constituted the main reservoirs of mobilizable antimicrobial resistance genes, which were predominantly plasmid-associated; in contrast to Campylobacter coli, whose resistome was mainly determined by point mutations. The reduced complexity of mobilome-resistome interaction in Enterococcus spp. suggested its limited role in AMR dissemination from swine farms. The significant differences in antimicrobial use among the studied farms allowed us to assess the suitability of whole-genome sequencing as a rapid and efficient technique for the assessment of mid- to long-term on-farm interventions for the reduction of antimicrobial use and the evaluation of AMR status.

Multi-stage planning of LID-GREI urban drainage systems in response to land-use changes

Long-term planning of urban drainage systems aimed at maintaining the sustainability of urban hydrology remains challenging. In this study, an innovative multi-stage planning framework involving two adaptation pathways for optimizing hybrid low impact development and grey infrastructure (LID-GREI) layouts in opposing chronological orders was explored. The Forward Planning and Backward Planning are adaptation pathways to increase LID in chronological order based on the initial development stage of an urban built-up area and reduce LID in reverse chronological order based on the final development stage, respectively. Two resilience indicators, which considered potential risk scenarios of extreme storms and pipeline failures, were used to evaluate the performance of optimized layouts when land-use changed and evolved over time. Compared these two pathways, Forward Planning made the optimized layouts more economical and resilient in most risk scenarios when land-use changed, while the layouts optimized by Backward Planning showed higher resilience only in the initial stage. Furthermore, a decentralized scheme in Forward Planning was chosen as the optimal solution when taking costs, reliability, resilience, and land-use changes into an overall consideration. Nevertheless, this kind of reverse optimization order offers a novel exploration in planning pathways for discovering the alternative optimization schemes. More comprehensive solutions can be provided to decision-makers. The findings will shed a light on the exploration of optimized layouts in terms of spatial configuration and resilience performance in response to land-use changes. This framework can be used to support long-term investment and planning in urban drainage systems for sustainable stormwater management.

First Report of Field Efficacy and Economic Viability of Metarhizium anisopliae-ICIPE 20 for Tuta absoluta (Lepidoptera: Gelechiidae) Management on Tomato

Eco-friendly pest control options are highly needed in food crop production systems to mitigate the hazards of synthetic chemical pesticides. Entomopathogenic fungal biopesticides—Metarhizium anisopliae strains ICIPE 20 (oil-formulation containing 1.0 × 109 conidia/mL) and ICIPE 69 (commercialized biopesticide known as Mazao Campaign®)—were evaluated against Tuta absoluta on tomato through inundative foliar spray and compared with the commonly used pesticide Dudu Acelamectin 5% EC (Abamectin 20 g/L + Acetamiprid 3%) and untreated plot. All the treatments were arranged in a randomized complete block design with three replicates. The field experiments were conducted for two consecutive cropping seasons in Mukono district, Uganda. Tuta absoluta infestation, injury severity on leaves and fruits, fruit yield loss, marketable fruit yield gain and cost–benefit ratio of the treatments were assessed. The results during both seasons showed a significant lower fruit yield loss in M. anisopliae ICIPE 20-treated plots compared to untreated plots, with a marketable fruit yield gain exceeding 22% and a cost–benefit ratio greater than 2.8 (BCR~3). Dudu Acelamectin 5% EC outperformed all the other treatments, but needs to be considered with caution due to its non-target effect and resistance development, whereas M. anisopliae ICIPE 69 performed the least well. In addition, the findings showed the high degree of efficacy and economic viability of these biopesticides as a potential T. absoluta control option in the field. However, it is important to further explore different formulations of these eco-friendly biopesticides, inoculum delivery approach, application frequency, their effectiveness in different agro-ecological zones and compatibility with commonly used pesticides in tomato production systems for sustainable management of T. absoluta.

Brazilian federal universities and their sustainable practices based on sustainable logistics management plan

PurposeThis study aims to analyze the situation of Federal Universities (FUs) regarding compliance with the Sustainable Logistics Management Plan (PLS) Normative Instruction (NI) 10/2012, the adoption of which is compulsory for all agencies and entities of direct, autarchic and foundational public administration and dependent state-owned enterprises, including FUs. PLS is an instrument intended to establish sustainability practices in the management of public organizations.Design/methodology/approachThe data were collected through searches on the websites of the 68 Brazilian FUs that constitute the study population, along with their plans of action (PAs) and monitoring reports.FindingsThe collected data revealed that only 25% of the FUs had a current PA and 15% published a report for the years 2020 or 2021. Furthermore, the most commonly found mandatory issue to be addressed in PAs was electricity, and the least frequent was sustainable procurement and contracting.Research limitations/implicationsFuture research should be conducted with the Management Committee of the PLS to understand the reason for the discontinuity of this work in some universities and the rationale behind the mandatory issues.Originality/valueSome studies address FUs’ implementation of PLS, which promotes sustainable management systems. However, each of the identified studies investigated only one of the seven mandatory issues set down in NI 10/2012, which did not allow a complete assessment of the FUs’ situation exclusively in respect of compliance with the PLS.

Intensification and diversification of pasturelands in Brazil: Patterns and driving factors in the soil carbon stocks

The extensive system of pasture management in Brazil can reduce soil C stocks and increase CO2 emissions to the atmosphere. However, the adoption of sustainable management systems can change these conditions and enact modern practices of natural resource management as defined by the concept of ecosystem services. A field study was therefore carried out to assess the effects of adopting more intensive and diversified systems of pasture management on the quality and stocks of soil C. Treatments included fertilized pasture (FP), integrated crop-livestock (ICL), and integrated livestock-forest (ILF) and were compared to conventional management systems (CS) under different soil and climate conditions (tropical humid, subtropical dry and subtropical humid). Soil carbon stocks and soil organic matter (SOM) fractions were determined in the top one-meter layer. With the SOM fractions, we calculated the C lability (LI), pool (CPI) and management (CMI) indices. The results showed that adopting ICL systems under the conditions of a tropical humid and subtropical humid climate produced increases in soil C stocks of 0.75 Mg ha−1 yr−1 (P < 0.01) and 0.15 Mg ha−1 yr−1 (P < 0.05), respectively, relative to the CS. Similarly, the conversion of a CS to FP (tropical humid climate) and ILF (subtropical dry climate) led to increases in soil C stocks of 2 and 0.55 Mg ha−1 yr−1 (P < 0.05), respectively. In general, the adoption of more intensive and diversified systems of pasture management can also afford increases in the LI, CPI and CMI indices. These results can serve as a scientific basis for government initiatives that focus on recovering degraded pastures in Brazil through the use of more sustainable management systems and can also help to sequester more C in soils.

Predictors of Intention to Use a Sustainable Cloud-Based Quality Management System among Academics in Jordan

This research aims to provide a predictive model of essential factors influencing the behavioral intention to use sustainable cloud-based quality management systems among academics in Jordan. A comprehensive research model was developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) and the Theory of Planned Behavior (TPB), which was tested using cross-sectional data. The research sample covers Jordanian higher education institutions (23 governmental and private universities), and the unit of analysis includes 500 academics. The research adapts and modifies the UTAUT2 model and TPB to explain behavioral intention to use sustainable cloud-based quality management systems in developing countries. The proposed model explained 0.478 percent of behavioral intention variance and 0.127 percent of the user behavior variance. Three constructs are found to be significant predictors: perceived behavioral control, performance expectancy, and facilitating conditions. The attitude toward the behavior and subjective norm are not significant predictors. The research contributes to the literature in several ways. First, it extends previous studies by examining predictors of the behavioral intention to use SCQMS in higher education institutions. Second, it provides rigorous empirical evidence that incorporating the UTAUT2 model with the TPB produced a substantial improvement in the variance explained in behavioral intention compared to the prior research conducted in developing contexts. Third, this research provides useful insight into university management. The research provides a better understanding of the essential factors influencing the behavior intention to use sustainable cloud-based quality management systems in Jordanian Universities. Thus, the research model provides better explanatory power than previous studies in business literature and developing markets.

A sustainable medical waste management system design in the face of uncertainty and risk during COVID-19

COVID-19's developing trend has put the waste management systems of governments all over the world in jeopardy. The increasing rise of infectious medical waste has now become a serious problem. This paper presents a multi-period multi-objective model for designing a medical waste management system during the COVID-19 pandemic. The model aims to reduce total costs of infectious medical waste management while also reducing the environmental impact of treatment centers, disposal centers, and transportation. It also aims to maximize the suitability of treatment technology based on social considerations and reduce the risk associated with processing and transporting COVID-19 waste. Different strategic and operational decisions are taken into account that include the selection of treatment technologies, the location of treatment and disposal centers, the flow of generated medical waste between facilities, and the number of vehicles required for the medical waste transport. The model tackles the uncertainty associated with model parameters, and it uses a credibility-based possibilistic programming method to deal with uncertainties. The suggested model is solved using an interactive fuzzy programming method and the importance of social indicators for selecting treatment technology is determined using the fuzzy best–worst approach. The effectiveness of the model is demonstrated by a practical case study in Shiraz, Iran. The numerical results can help system designers to achieve the most suitable trade-off between the sustainability goals and the safety viewpoint.

Urban Water Management Using Water Self-sufficiency

Water demand is increasing because of population increases and industry developments as well as demands for improved living standards. Existing water treatment and supply systems cover large areas and have a centralized system; consequently, development of new water resources requires a construction of pipe infrastructure over long distances. The variability of water quantity, as climate changes, is hampering efforts to secure water resources and decide facility capacity. Therefore, a new urban water management system to address these problems is required. This study suggests such a system as well as a new index, i.e., the water self-sufficiency ratio (WSSR) for evaluating the system. WSSR is calculated by dividing the total self-provided water quantity with the total water use in a city. The current WSSR for Suwon City is 11 %, but there are plans to achieve 50 %. This would be accomplished by using rainwater (26.8 million ton/year), encouraging water conservation (31.3 million ton/year), building tunnel-type rainwater-retention facilities (2.5 million ton/year) and reusing treated sewage (1.72 million ton/year). In addition, financial incentives are expected through such as reduction of floor area proportion, tax reduction and governmental subsidies. The WSSR is expected to be useful in evaluating urban water self-reliance as well as in quantitativly establishing a sustainable water management system.

Options for sustainable solid waste management in a tourist city in a developing country

A study was undertaken to develop options for sustainable integrated solid waste management for a tourist city in Vietnam. The generation and characterisation of tourism waste were based on a sampling survey of Hoi An city (HAC). Problems and challenges of a tourism waste management system were indicated using material flow analysis. Five scenarios were developed for the tourism sector of the city based on current solid waste management practice (SWMP), a consensus of stakeholders, the suitability of waste management systems and the contribution of the government. In two of the scenarios, waste reduction was 6.5 times higher and recyclables recovered was 3.3–4.2 times greater than that in two of the minimalist scenarios. Furthermore, the former scenarios showed more efficiency in treatment, optimal economy and minimum greenhouse gas emissions. The study indicated the advantages and challenges of each scenario and identified an optimal model for SWMP for the tourism industry of HAC. A framework for gradually developing a sustainable tourism waste management system was proposed, potentially applicable to any tourist city in a developing country.

Stakeholders' social acceptance of a new organic waste management policy in the city of Florianópolis (Brazil)

Incorrect organic waste management can lead to several environmental and health threats. The literature shows that municipalities are adopting several strategies to reduce the improper disposal of organic waste. In 2019, Florianópolis, Brazil, became the first Brazilian state capital to approve a law on mandatory organic waste separation and composting, the Florianópolis composting law (FCL). Nevertheless, the successful implementation of this new regulation relies on acceptance among urban stakeholders and civil society. The role of social acceptance has not been investigated when dealing with new waste management regulations. To this end, 37 qualitative interviews with local stakeholders were conducted to determine the key factors influencing the acceptance of the FCL by analyzing stakeholders' perceptions of the relevant risks, benefits, hindering and promoting factors. The results show that the law could represent an important first step toward a sustainable municipal solid waste management system; however, several risks may arise in the absence of adequate monitoring systems. These risks are mainly linked to water contamination and health issues due to harmful insect proliferation. Furthermore, even though Florianópolis society seems culturally open, the lack of infrastructure and investments in the city could hinder the effectiveness of the law. Strategies for improving the law's effectiveness should be focused on supporting the existing formal and informal composting initiatives that have become widespread in recent decades. This could lead to a decentralized organic waste management system that empowers local initiatives and reduces the initial costs of implementing new composting systems and increases the separation rates at the household level.

Decision support system for sustainable groundwater management in crystalline hard rocks: implications for sugarcane agriculture, Southern India.

India is the second largest sugarcane-producing nation with water footprints ~ 104 BCM/year of which 80% met from groundwater of deep wells. The large-scale groundwater management practices were found mostly untenable affecting the sugarcane agrarian and associated sectors. We developed a cell-level (2km × 2km) decision support system employing the integrated hydro-geophysical investigations in sugarcane agro-watershed (399 km2) beset over granitic aquifer systems of Tattihalla River watershed, Southern India. The refined hydrogeological conceptual model derived from electrical resistivity tomography and groundwater level (head) has been accounted into the numerical modeling. The model was run on transient mode for four stress periods during 2015-2017 and validated with calculated and observed heads. The normalized RMS error 7.57% of the validated model conveys its robustness and estimates groundwater budget at the demarcated 77 cells. The theoretical scenarios for water level projections against the increased groundwater pumping rates of 10%, 25%, and 50% were generated. It showed a declining trend of water level for the projected 10-year period with varied magnitude and vulnerability for drought conditions. The different time periods of water level touching the basement (i.e., dry borewell) infers a distinct hydrogeological property of an individual cell advocating to adapt a cell level management plan. In this article, we explained two cells (nos. 12 and 60) in detail to show the varying characteristic of aquifer against the different pumping rates.

Assessment of Hydro-Agricultural Infrastructures in Burkina Faso by Using Multiple Correspondence Analysis Approach

Due to the semi-arid nature of the Sahelian countries in Africa, irrigation infrastructures are essential in supporting the improvement of agricultural production. Their proper operation is, therefore, a key indicator for the sustainable development of agriculture in this region. However, there is a lack of critical assessment on the operating state of these hydro-agricultural facilities in Burkina Faso. In this study, we applied a multiple correspondence analysis (MCA) to 4070 hydro-agricultural facilities from 1950 to 2020 and classified them according to the Permanent Interstate Committee for Drought Control in the Sahel’s (CILSS) typology classification system (Type 1 to Type 5). The MCA made it possible to see the relationships between a development typology and variables such as “functionality”, “condition of the development”, or “year of construction”. The results indicate that the irrigated lands with surface areas of less than 100 ha, which were funded by the government or organizations (associations, NGOs) and managed by local communities, are the least functional ones and in bad condition. Their dysfunction indeed conceals deep-seated causes that have not yet been resolved as the infrastructures keep on deteriorating. Therefore, establishing a sustainable and efficient management system for these agricultural infrastructures is imperative. The findings of this study can be used as a practical decision-making tool for implementing agricultural policies in the Sahel region.

Passive co-treatment of phosphorus-depleted municipal wastewater with acid mine drainage: Towards sustainable wastewater management systems

Industrial processes typically produce large wastewater volumes, which, if left untreated, greatly affect receiving ecosystems. However, wastewater treatment can be costly and energy-intensive, with the developing world particularly struggling with wastewater management. As such, simple and cost-effective solutions are urgently required with the passive (no energy or reagents) co-treatment of different wastewater matrices holding great promise. Here, wastewater from a phosphorus recovery system (chemical precipitation) was co-treated with acid mine drainage (AMD). Specifically, phosphorus-rich municipal wastewater was treated with hydrated lime, as to synthesize a wastewater-derived phosphorus product, i.e., calcium phosphate (Ca3(PO4)2), also producing a phosphorous-depleted alkaline effluent. The feasibility of valorising this effluent is examined here by using it for the passive co-treatment of real AMD. Different liquid-to-liquid (v/v) ratios were considered, with the optimum ratio (AMD to phosphate-depleted wastewater) being 1:9. The pH of the co-treated effluent was adjusted to 8.4 (from an initial value of 11.5 in the phosphorus-depleted wastewater and 2.2 in AMD), while metals (∼100% reduction of Fe, Mn, Ni, Cu, Pb, ≥99.5 for Al, Zn, and Mg, 80% for Cr, and 75% for As) and sulphate (89.26% reduction) contained in AMD were greatly removed. This was also the case for the remaining orthophosphate that was contained in the phosphorus-depleted wastewater (93.75% reduction). The electrical conductivity was also reduced in both the AMD (88.75%) and the phosphorus-depleted wastewater (69.21%), suggesting the removal of contaminants from both matrices. Results were underpinned by state-of-the-art analytical techniques, including FE-SEM/FIB/EDX, FTIR, and XRD, along with geochemical modelling (PHREEQC). Contaminants were removed through complexation, (co)adsorption, crystallization, and (co)precipitation. Overall, results suggest that the co-treatment of these wastewater matrices is feasible and could be directly scaled up (e.g., using waste stabilization ponds), while opportunities for the beneficiation of the produced sludge and for water reclamation (e.g., through membrane filtration) could also arise, further promoting the sustainably of this passive co-treatment method.

A Synergetic Approach of Agricultural Waste Management through vermicomposting

The present study was conducted to investigate the vermicomposting potential of epigeic earthworm, Eisenia foetida for rice straw and cow dung. The experiment comprised of ten treatments T1 - [Chopped Rice straw + cow dung (1:1)] + 1kg worm), T2 - [Unchopped Rice straw + cow dung (1:1)] + 1kg worm), T3 - [Chopped Rice straw + cow dung (1:1)] + 2kg worm), T4 - [Unchopped Rice straw + cow dung (1:1)]+ 2kg worm), T5 - [Chopped Rice straw (70%) + soil (10%) + cow dung (20%) + 1kg worm], T6 - [unchopped Rice straw (70%) + soil (10%) + cow dung (20%) + 1kg worm], T7 - [Chopped Rice straw (70%) + soil (10%) + cow dung (20%) + 2kg worm], T8 - [Unchopped Rice straw (70%) + soil (10%) + cow dung (20%) + 2kg worm], T9 - [cow dung + 1kg worm] and T10 - [cow dung only], single replicate arranged in a randomized block design. The experimental results revealed that out of all the treatments, higher values of N, P and K were observed in T7 - Chopped Rice straw (70%) + soil (10%) + cow dung (20%) + 2 kg worm. The micronutrient content was also found higher in this treatment with higher biomass production. The multiplication of earthworms was significantly higher than only cow dung and other treatments. The vermicompost produced can be of significant value to the end users like farmers for replacement of chemical fertilizers and procuring better prices for the organic produce using such composting material locally available at much lower cost. Vermicomposting might prove to be a positive approach towards sustainable waste management system.

Acacia and eucalypt plantation biosecurity in Southeast Asia – a history, and directions for future research and engagement

ABSTRACT There are over 7 million ha of eucalypt and acacia plantations in Southeast Asia (SE Asia), comprising both corporate and smallholder plantings. These plantations contribute significantly to national and regional economies and provide diverse ecosystem services. Increased trade, the global movement of people, and a changing climate increase the threat of invasive plantation pests in SE Asia. Here, we review the history of forest biosecurity research in SE Asia to determine what is needed now for the implementation of sustainable biosecurity management systems. Historically, substantial Australian aid funding has been directed at the development of eucalypt and acacia plantations in the region. Attention has been increasing on forest health and biosecurity research since the 1990s, driven by development of the timber plantation estate and the emergence of diseases such as Ceratocystis and insect pests such as Leptocybe invasa. The research agenda has focused on key insect pest and disease taxa and on understanding their biology, topical treatments, breeding responses and land-use planning approaches as means for control and management. We find there is a need for more systemic approaches, including surveillance and pre-emptive strategies, to strengthen timber plantation biosecurity. Greater consideration of socioeconomic and sociocultural contexts will be required to address these challenges. Developing new biosecurity capacity to better detect, and coordinate responses to, forest pest incursions can minimise the potential impacts of invasive pests.

Grazing season regulates plant community structure and production by altering plant litter mass in a typical steppe

AbstractAimsGrazing different grasslands with seasonal changes is the tradition in pastoral systems in natural grassland regions worldwide. The effects and mechanisms of different grazing seasons on semi‐arid steppe vegetation are less explored on the Mongolian Plateau. Therefore, we assessed the impact and underlying mechanisms of grazing seasons on grassland community structure and production.LocationXilingol, Inner Mongolia, China.MethodsWe conducted a three‐year experiment to investigate the effects of grazing in four different seasons under the same grazing intensities on plant community structure and production in a typical steppe rangeland. The experiment was a random‐block design, with 20 grassland paddocks of 50 m × 50 m, representing five treatments (i.e., early spring, summer, autumn, mid‐winter, and no grazing), replicated by four blocks. We monitored the changes in soil properties, plant litter mass (i.e., standing dead biomass and dead plant material on the soil surface) and plant species composition and production across grazing treatments.ResultsPlant community height and above‐ground biomass were higher under early spring and winter grazing than autumn and summer grazing and no grazing. This divergence in plant community structure was mainly mediated by the seasonal patterns of plant litter mass across the grazing regimes. A high plant litter mass enhanced soil moisture by accumulating snow in winter and reducing soil evaporation during the growing season, which benefit plant growth. The removal of plant litter before the growing season increased the reception of solar radiation, thus improving soil temperature and plant production. The changes in community microenvironment and selective grazing led to the changes in plant species composition especially under summer and autumn grazing.ConclusionsOur results imply that grazing in winter or in early spring before plants start to turn green is more efficient than the complete animal exclusion for the natural recovery of degraded grassland in Inner Mongolia. It is suitable to incorporate cold‐season grazing in the development of sustainable grassland management systems.

Transferable Tree-Based Ensemble Model for Non-Intrusive Load Monitoring

Sustainable energy management systems have been increasingly studied in recent years. Non-intrusive load monitoring (NILM), as a key component, estimates the power consumption of individual appliances from the main readings only. However, most NILM approaches are computationally expensive, and their generality is negatively affected by the data drift occurred when the models are used across domains. Besides, the threats of privacy violation will rise in the model transfer due to the possible leakage of the personal information of the users from the source domain. To address all these challenges, we designed a cost-efficient learning method using LightGBM for energy disaggregation. We also proposed a model-based transfer learning algorithm using feature importance analysis, which enhances the generalisation capability of tree-based ensemble models applied in different domains while protecting privacy. We conducted experiments with real-world data sets. The performance of our approach is superior to the state-of-the-art solutions.

Mangrove Forest Health Monitoring Training at KTH Lestari Indah as a Disaster Mitigation Effort

The importance of monitoring forest health is needed to support a sustainable forest management system. A healthy forest can be said to be still carrying out its functions. Monitoring the health of mangrove forests is helpful in an effort to mitigate coastal disasters. The purpose of this service was to provide knowledge and understanding to members of KTH Lestari Indah regarding forest health. This activity was carried out on Sunday, October 24, 2021, at the mangrove forest tour, Margasari Village, Labuhan Maringgai sub-district, East Lampung Regency. The methods used in this activity were lectures and practices. Based on the evaluation results with pre-test and post-test instruments given to participants regarding the material in service activities, participants experienced an increase in knowledge of 7.13%. This increase shows a reasonably good understanding of the training participants, so this training is expected to help the community increase knowledge and participation in mangrove forest management and discovery of sustainable mangrove forests.

100 A Hybrid Management System for Pandemic Success: Application of the Incident Command and Lean Management Systems in San Francisco’s Covid Response

Early in the Covid-19 pandemic, public health and health care operational leaders recognized the need for a sustainable management system that met pressing needs not fully addressed in the Incident Command System model. Together with emergency management partners, the San Francisco Unified Command leadership built a unique hybrid system that joined the clarity of ICS to the process-improvement strength of Lean Management. This management system used data to drive improvement, aligned a fast-growing organization to proactive strategic objectives, and built a decision-making process that enabled disaster service workers to solve problems efficiently and effectively.