Sustainable Monitoring Research Articles

Deformation Monitoring of High‐Rise Building Clusters: Acquiring Deformation Coefficients by Combining Satellite Imagery and Persistent Scatterer Interferometry

Persistent Scatterer Interferometry (PSI) is a remote sensing measurement technology based on electromagnetic waves, capable of simultaneously monitoring deformations in large urban building complexes with millimeter‐level precision. However, relying solely on the line of sight (LOS) deformation sequence based on a specific permanent scatterer cannot accurately analyze building deformations, particularly in cases where high‐rise buildings may simultaneously experience various deformation components such as temperature‐induced deformation, shrinkage, creep, and tilting. To accurately identify the deformation states of high‐rise buildings, the paper begins by systematically summarizing three typical deformation patterns from the unique perspective of synthetic aperture radar (SAR) satellites. These patterns include Pattern I, characterized by temperature‐induced deformation alone, and Pattern II and Pattern III, which involve a combination of deformation in different directions relative to the SAR satellite in addition to temperature‐induced deformation. To accurately monitor the LOS deformation of high‐rise buildings, the paper introduces the concept of acquiring the evolutionary trends of temperature‐related deformation coefficients and proposes a methodology for recognizing and quantifying deformation in high‐rise buildings. Subsequently, this study utilized freely available Sentinel‐1 satellite data to observe the deformation of nine high‐rise buildings in Changsha, China. The research findings indicate that the thermal expansion coefficients of most high‐rise buildings fall within the range of 6 ∼ 12 × 10−6/°C. High‐rise buildings that have been constructed for more than ten years almost no longer experience significant shrinkage or creep, while new constructions may exhibit an initial shrinkage and creep of up to 1.2 × 10−4 mm/mm. Additionally, the study results demonstrate that super‐tall buildings may exhibit centimeter‐scale lateral deformations at their tops due to uneven shrinkage. Findings from the study indicate that the proposed method can achieve cost‐effective and sustainable deformation monitoring of high‐rise building clusters within a large urban area.

Sustainable water quality monitoring and innovative purification solutions

The goal of this project is to create a complete water quality monitoring system using web-based technology and pH sensors. The system’s real-time pH level analysis allows it to continuously evaluate the quality of the water. It classifies the state of the water quality and provides customized suggestions for enhancement. A user-friendly online interface that makes data visualization and interaction possible is at the heart of the system. The technology guarantees accurate readings and dependable solutions through extensive testing and validation, advancing water quality management techniques in a variety of fields.

The most sustainable solution for wearable electrodes?

Global trends in health and wellness are driving demand for innovative measurement solutions. With an ageing population and rising healthcare costs, more sustainable health monitoring solutions are urgently needed. Through collaboration and the EU project Sustronics, Screentec from Oulu, Finland, aims to reduce environmental impact and promote industry-wide adoption of more sustainable practices by developing wearable electrodes with ecofriendly substrates and conductive pastes such as copper and carbon.

Tracking Soil Moisture Levels and Automated Plant Watering System Utilizing IOT Technology

Nowadays, technology plays a tremendous role in serving humanity, and food is a man’s basic and primary need. Approximately 70% of Northern Nigerians are directly or indirectly dependent on agriculture. Water pump irrigation cannot be maintained due to frequent power outages, the inaccessibility of grid lines in remote areas, and the scarcity and cost of fuel to run pumps. This IoT-based automatic irrigation system is proposed to create a sustainable field monitoring system for improved crop growth and production. In this system, IOT and WSN control and monitor the irrigation system. IoT collects saved data and monitors diverse soil contents in real time. WSN is utilized to create a user-friendly wireless system for cultivating and irrigating the field. Sensors of several types are utilized. This article uses the “Thing Talk Cloud Server” to operate and monitor a fully automated drip irrigation system. The temperature and humidity of the soil are constantly monitored. The system notifies the user of any abnormal conditions, such as low moisture content, rising temperature, or water concentration, by sending notifications via the wireless module. This will significantly improve food security and the well being of the Nigerian populace all through the year while boosting the economy.

Design of a novel green bio-based organic–inorganic hybrid material for cost-effective and sustainable monitoring of antibiotic residues

An economical bio-based adsorbent was prepared by loading HA on silicon substrate using abandoned PVA as a physical crosslinking material. The adsorbent can achieve sustainable and simultaneous detection of multiple trace MACs in complex matrices.

A sustainable monitoring approach to manage complex archaeological sites – The example of Pompeii

A sustainable monitoring approach to manage complex archaeological sites – The example of Pompeii

Long range acoustic detection of gas bubbles in a shallow water coastal environment

As the world economy moves to net zero carbon dioxide (CO2) emissions, carbon capture and storage (CCS) is recognised a mitigation mechanism in the suite of technology options. Liquified CO2 injection into offshore subsea reservoirs will be one of the CCS strategies used. Despite being improbable, CO2 leaks could occur and impact the effectiveness of this CO2 mitigation option and undermine confidence in its use as part of the suite of tools to combat climate change. To satisfy public safety expectations and environmental regulatory requirements, long-term measurement, monitoring, and verification (MM&V) plans that are affordable will be needed as part of any commercial CCS operation. Active acoustic methods are a well-suited technique as they can detect gas bubbles in the water column at extremely low flow rates. A bespoke detection system, the Echosounder Detection of Gas Events (EDGE) was developed with the goals of long-duration monitoring and detection of low flow gas bubble releases at long ranges; the literature suggests flow rates of <2 L min−1 will be readily detectable using active acoustics, well below the upper limits of a release of 1 % of stored CO2 over a 1000 year timeframe proposed by IPCC (2005). The EDGE system was housed on a seafloor lander with a battery powered scientific echosounder connected to a narrow-beam horizontally orientated transducer mounted on a turret that rotates through 360 deg. The effectiveness of the EDGE system was tested in a range of weather conditions during two six-month deployments in ∼ 20 m depth at a proposed CCS storage site, CarbonNet, situated off the coast of Victoria, Australia. Separate experiments with controlled gas releases were conducted at a local site at Hobart, Australia to establish the detection capability at range for low flow rates. These experiments found very small gas-releases (< 2 L min−1) could be detected at ranges of up to 378 m. The ability of long-term deployment of the EDGE at the proposed CCS site and the local experiments establishing range-detection ability have demonstrated that active acoustic systems can meet the dual objectives of sustained and wide-area monitoring as a key part of an aquatic based MM&V framework.

2001–2020年中国东北区域土壤水蚀数据集

The black soil area in Northeast China plays an important role in food production and ecological security in China. However, over-cultivation practices have led to severe soil erosion, which seriously threatens food security and ecological environment in Northeast China. Accurate simulations of water erosion with high spatio-temporal resolution are important for advancing sustainable development goals, such as promoting sustainable agriculture and monitoring land degradation in Northeast China. This dataset is based on Google Earth Engine (GEE) cloud platform, integrating multi-source remote sensing data, deconstructing RUSLE model, and optimizing algorithm combinations for each factor of the model. We compared and verified the annual sand transport volume and sand transport modulus data from the main hydrological monitoring stations in Northeast China with the soil erosion modulus estimated by the RUSLE model. Then, we selected the optimal factor algorithm combination based on three accuracy metrics (time series correlation, root mean square error and mean absolute error), and obtained the estimation results of soil water erosion modulus with the resolution of 250 m. This dataset can better depict the spatial distribution and temporal changes of soil erosion modulus in Northeast China from 2001 to 2020. It can serve as an effective reference for soil erosion control and assessments in Northeast China.

PEMANFAATAN DAN PENDAMPINGAN PEMBUATAN QR CODE DAN FACEBOOK MARKETPLACE SEBAGAI MEDIA PROMOSI WISATA DI DESA APUAN SUSUT BANGLI

The purpose of this service activity is to develop the potential of tourist destinations in Apuan village by utilising information technology-based local wisdom, which empowers the potential of the community in increasing family income through increasing creative economic businesses supporting tourist destinations. While the specific target of this service activity, namely in the development of tourism destination promotion. This activity was carried out for 1 (one) month, with several stages of activities in the implementation of this Community Service (PKM), including: (1) initial evaluation; (2) group formation; (3) QR-Code making training; (4) Facebook Marketplace making training; (5) business management assistance; (6) final evaluation, and (7) special monitoring for sustainability. The activities have been implemented, and the village community has begun to utilise Facebook Marketplace as a medium for digital-based tourism promotion.

School and community driven dengue vector control and monitoring in Myanmar: Study protocol for a cluster randomized controlled trial.

Dengue is the most common and widespread mosquito-borne arboviral disease globally estimated to cause >390 million infections and >20,000 deaths annually. There are no effective preventive drugs and the newly introduced vaccines are not yet available. Control of dengue transmission still relies primarily on mosquito vector control. Although most vector control methods currently used by national dengue control programs may temporarily reduce mosquito populations, there is little evidence that they affect transmission. There is an urgent need for innovative, participatory, effective, and locally adapted approaches for sustainable vector control and monitoring in which students can be particularly relevant contributors and to demonstrate a clear link between vector reduction and dengue transmission reduction, using tools that are inexpensive and easy to use by local communities in a sustainable manner. Here we describe a cluster randomized controlled trial to be conducted in 46 school catchment areas in two townships in Yangon, Myanmar. The outcome measures are dengue cases confirmed by rapid diagnostic test in the townships, dengue incidence in schools, entomological indices, knowledge, attitudes and practice, behavior, and engagement. The trial involves middle school students that positions them to become actors in dengue knowledge transfer to their communities and take a leadership role in the delivery of vector control interventions and monitoring methods. Following this rationale, we believe that students can become change agents of decentralized vector surveillance and sustainable disease control in line with recent new paradigms in integrated and participatory vector surveillance and control. This provides an opportunity to operationalize transdisciplinary research towards sustainable health development. Due to the COVID-19 pandemic and political instability in Myanmar the project has been terminated by the donor, but the protocol will be helpful for potential future implementation of the project in Myanmar and/or elsewhere.Registration: This trial was registered in the ISRCTN Registry on 31 May 2022 ( https://doi.org/10.1186/ISRCTN78254298).

Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement

Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement

MXene-Coated Ion-Selective Electrode Sensors for Highly Stable and Selective Lithium Dynamics Monitoring.

Lithium holds immense significance in propelling sustainable energy and environmental systems forward. However, existing sensors used for lithium monitoring encounter issues concerning their selectivity and long-term durability. Addressing these challenges is crucial to ensure accurate and reliable lithium measurements during the lithium recovery processes. In response to these concerns, this study proposes a novel approach involving the use of an MXene composite membrane with incorporated poly(sodium 4-styrenesulfonate) (PSS) as an antibiofouling layer on the Li+ ion selective electrode (ISE) sensors. The resulting MXene-PSS Li+ ISE sensor demonstrates exceptional electrochemical performance, showcasing a superior slope (59.42 mV/dec), lower detection limit (10-7.2 M), quicker response time (∼10 s), higher selectivity to Na+ (-2.37) and K+ (-2.54), and reduced impedance (106.9 kΩ) when compared to conventional Li+ ISE sensors. These improvements are attributed to the unique electronic conductivity and layered structure of the MXene-PSS nanosheet coating layer. In addition, the study exhibits the long-term accuracy and durability of the MXene-PSS Li+ ISE sensor by subjecting it to real wastewater testing for 14 days, resulting in sensor reading errors of less than 10% when compared to laboratory validation results. This research highlights the great potential of MXene nanosheet coatings in advancing sensor technology, particularly in challenging applications, such as detecting emerging contaminants and developing implantable biosensors. The findings offer promising prospects for future advancements in sensor technology, particularly in the context of sustainable energy and environmental monitoring.

Toward sustainable water quality monitoring systems using particle swarm, Ant Colony, and Tabu Search optimization methods

Toward sustainable water quality monitoring systems using particle swarm, Ant Colony, and Tabu Search optimization methods

Sedimentary mud and phaeophytin-a are reliable predictors of oxygen consumption and nitrogen turnover in the southern North Sea

Coastal systems are exposed to variable human uses and anthropogenic pressures, yet they provide valuable ecosystem services. Understanding the benthic processes in these systems is crucial for their effective management and conservation. This study investigates sediment characteristics as proxies for oxygen and nitrogen turnover in coastal, sandy, permeable sediments. We incubated sediment samples to quantify the turnover of ammonium and nitrate and analyzed various sediment properties to determine the most suitable predictors of sediment reactivity. Oxygen consumption rates and rates of ammonium and nitrate turnover strongly correlate with mud content and phaeophytin-a, which are identified as the best proxies for sediment reactivity. Ultimately, our data show that sediment nutrient recycling and turnover is intimately linked to spring primary production in the water column. In order to deduce reaction rates of oxygen, ammonium and nitrate from sediment properties, we provide linear regression coefficients and their uncertainties, enabling access to previous observations that would otherwise remain inaccessible due to missing data. This study provides insights for the development of benthic models that ultimately can be used to assess the impact of anthropogenic pressures on coastal systems. The findings have implications for nutrient management and monitoring in the German Bight, as an improved understanding of sediment reactivity allows for more appropriate and sustainable management and monitoring policies to be implemented.

LuXSensing Beacon: Batteryless IoT Sensor, Design Methodology, and Field Test for Sustainable Greenhouse Monitoring

LuXSensing Beacon: Batteryless IoT Sensor, Design Methodology, and Field Test for Sustainable Greenhouse Monitoring

A Different View on the Country’s Sustainable Development Indicators – Latvia’s Example

Abstract The contemporary scientific and technical community claims that the new development paradigm will be based on the priority of the universal laws of nature, the principles of ecological economics and the widespread use of digital transformation. The analysis of the sustainable development strategy Latvia 2030 and the presented changes in the value of indicators showed that, it is quite difficult to put together a common unified picture of Latvia’s movement towards sustainable development. The main goal of the article is to present a new approach to the assessment of sustainable development and to monitoring system, using a system’s power changes analysis method. In the context of a Latvian sustainable development strategy, the authors presented the results of the formalisation of new approach to the sustainable development monitoring, using an invariant coordinate system in units of power (energy flow) in compare with calculated data in monetary terms. Calculations and the initial interpretation of the results of Latvia as well as of the five EU countries from the Baltic Sea region – Denmark, Sweden, Finland, Estonia and Lithuania – were carried out for the period 1990.-2019. The presented indicators of sustainable development show that achieving the strategic goals of Latvia 2030 would be very difficult without any serious internal and external incentives. The results can provide a basis for creation of the development strategy both the country as a whole and each region separately.

Implementation of a weather station to monitor agricultural crops

Abstract Various studies on local crop monitoring are presented in the literature, however there is insufficient research on low-cost IoT weather stations that can obtain weather information over a long period of time. To overcome the difficulties described above, this paper proposes the development of an IoT weather station for low-cost, sustainable and multi-functional agricultural crop monitoring. The objective of the work is to develop a local weather observation device for agricultural crops, to set up a server for storing and providing meteorological information and to perform an analysis of the acquired weather data. The weather station architecture developed and proposed in this project consists of four main blocks: sensor and controller module, power module, local data storage module and data communication module (gateway).

PkM Pemberdayaan Masyarakat dan Edukasi Pola Hidup Bersih dan Sehat: Menuju Gaya Hidup Berkelanjutan yang Sehat dan Bermakna

Changes in people's lifestyles are challenges and opportunities in efforts to improve quality of life and sustainability. People tend to shift to simpler, more sustainable and healthier lifestyles. Modern lifestyle changes, including unhealthy diets, lack of physical activity, and exposure to unhealthy environments, have led to an increase in non-communicable diseases such as obesity, diabetes, cardiovascular disease, and respiratory diseases. This condition indicates the need to change lifestyle to become healthier and more sustainable. Some problems occur due to lack of public awareness and understanding, limited infrastructure and access, social and economic disparities, program sustainability, and unstable behavior changes. In an effort to overcome the problems that have been raised, the solutions that will be implemented are continuous outreach and education, strengthening infrastructure and access, community empowerment, cultural and local context-based approaches, capacity development of partners and workforce, sustainability plans, and monitoring and evaluation. routine. Furthermore, community service activities are carried out using workshop and socialization methods with the results of increasing community awareness, changing lifestyles, increasing the level of community health, community empowerment, reducing environmental impacts, increasing social welfare, increasing community involvement, disseminating knowledge and experience, and quality of life.

High Throughput Risk-Adapted Monoclonal Gammopathy Community Monitoring Program

Introduction Monoclonal gammopathy (MG) is present in 4.5% of adults older than 40 years. Given an annual 1% rate of progression to multiple myeloma (MM), regular MG monitoring has the potential to improve MM outcomes through earlier diagnosis. To this end, a variety of surveillance systems have been implemented in the NHS, including hospital, primary care, and nurse-led surveillance. However, as the vast majority of new MG patients are low-risk and unlikely to progress, most services are inefficient and unsustainable to support population-based monitoring. There is a need for a robust high-throughput system that can monitor most patients in the community, whilst streamlining high-risk MG for review in secondary care. Here, we describe a risk-adapted MG monitoring program (OxCOM), in which patients with incidental MG in Thames Valley were prospectively stratified and monitored. Methods Patients with incidental MG were captured over a 24-month period (between 4 th March 2021 and 3 rd March 2023) in an Immunology Laboratory covering a population of 2.5 million people. An attending immunologist risk-stratified patients daily into high-risk [IgG &amp;gt;30g/L or IgA/IgM &amp;gt;10g/L; or free light chain (FLC) ratio outside 0.1-7.0; or CRAB criteria], intermediate-risk [IgG 15-30g/L or IgA/IgM 5-10g/L; or FLC ratio outside 0.3-3.0; or monoclonal IgD/E or FLC; or urinary band] or low-risk [IgG &amp;lt;15g/L or IgA/IgM &amp;lt;5g/L] MG. Patients were excluded from analysis if out-of-area, aged 90 years or older with low-risk MG, under regular haematology review or had malignancy diagnosed as an inpatient following MG detection. The laboratory advised the requesting clinician to refer low-risk patients for 4-12-monthly remote blood monitoring by primary care, supervised by an OxCOM administrator. Intermediate and high-risk patients were advised for routine or urgent clinical assessment under haematology, respectively, with blood monitoring in secondary care. Intent for monitoring was assessed by patients receiving subsequent surveillance within 4 months (IgA or IgM) or 12 months (IgG), with a 2-month grace period. Follow-up rates were compared to a reference cohort of new MG detected in 2019 (prior to setup of OxCOM, in which monitoring was managed in the community) that were risk stratified retrospectively. Results 1,290 patients had MG detected over a 24-month period [962 low-risk (75%), 200 intermediate-risk (16%) and 128 high-risk (9%)] (Figure 1), of which 50% were female and median age was 75.4 years. Testing was requested equally between primary and secondary care (50% each); the most common indications were anemia (13%), bone pain (13%) and fracture (13%), all of which were over-represented in intermediate and high-risk MG [ p=0.0002]. Of 25% patients referred to secondary care [5% low-risk, 77% intermediate-risk and 91% high-risk], resources were concentrated towards higher-risk patients. Patients with high-risk MG were reviewed more quickly than those with intermediate-risk MG (median 14 vs. 54 days since test) [ p&amp;lt;0.0001], more likely to be assessed F2F (98% vs. 55%) [ p&amp;lt;0.0001] and receive investigations including CT/MRI imaging (86% vs. 44%) and bone marrow biopsy (59% vs. 17%) [ p&amp;lt;0.0001]. OxCOM risk stratification criteria distinguished risk of haematological malignancy diagnosis between low-risk (1%, n=10), intermediate-risk (14%, n=18) and high-risk (57%, n=57) MG at last known follow-up [ p&amp;lt;0.0001] (Figure 2). OxCOM enabled risk reclassification based on clinical judgement; of 253 patients initially assessed by secondary care, 65 (26%) had been transferred to remote primary care monitoring after a median of 3 clinical reviews and 7.3 months follow-up. There was a higher fidelity of subsequent monitoring at an appropriate interval under OxCOM (89%) than in the pre-OxCOM system (47%), including in those with low-risk (90% vs. 35%) and high-risk (94% vs. 76%) MG [ p&amp;lt;0.0001]. Conclusions We demonstrate the feasibility of a risk-adapted high-throughput clinical monitoring service for incidental MG. Immunology Laboratory led central oversight by stratifying patients for either remote blood surveillance under primary care, or for clinical assessment in secondary care. OxCOM therefore establishes a model to enable tailored monitoring of a premalignant state, which distributes healthcare resource towards higher-risk patients, whilst enabling sustainable monitoring for those with lower-risk.

Priority Research Topics to Improve Streamflow Data Availability in Data-Scarce Countries: The Case for Ethiopia

Lack of consistent streamflow data has been an increasing challenge reported by many studies in developing countries. This study aims to understand the current challenges in streamflow monitoring in Ethiopia to prioritize research topics that can support sustained streamflow monitoring in the country and elsewhere. A workshop-based expert consultation, followed by a systematic literature review, was conducted to build a collective understanding of the challenges and opportunities of streamflow monitoring in Ethiopia. The experts’ consultation identified the top ten research priorities to improve streamflow monitoring through research, education, remote sensing applications, and institutions. The experts’ views were supported by a systematic review of more than 300 published articles. The review indicated scientific investigation in Ethiopian basins was constrained by streamflow data gaps to provide recent and relevant hydrological insights. However, there is inadequate research that seeks solutions, while some researchers use experimental methods to generate recent streamflow data, which is an expensive approach. Articles that attempted to fill data gaps make up less than 20% of the reviewed articles. This study identified research priorities that can benefit streamflow data providers and the research community in alleviating many of the challenges associated with streamflow monitoring in countries such as Ethiopia.