bluuebunny/crossref_metadata_2025_split huggingface dataset:
New insights into the influence of turbines on the behaviour of migrant birds: implications for predicting impacts of offshore wind developments on wildlife
Authors: Robinson Willmott J , Forcey G , Vukovich M 
Published: May 2023

Abstract
Knowledge of the movement and behaviour of birds and bats around turbines in the offshore marine environment is critical for assessing the environmental impacts of offshore wind developments in the eastern USA. To address the problem of gathering high-quality, long-term data on these species in this remote environment, we designed a multi-sensor system that was recently deployed for 6 months in 2021 and 2022. Two Acoustic and Thermographic Offshore Monitoring (ATOM™) systems were deployed on wind turbines 23 nautical miles off the coast of Virginia, USA. The systems were operational during the day and night and recorded 1,581 detections of birds and bats, with 99% of detections occurring in the fall. Most detections were of birds, including 5 shorebird species, 3 gull species, 1 tern species, 3 raptor species, 1 woodpecker species, and 18 passerine species. Skuas, corvids, and swallows were also observed. There were 521 detections of bats. Differences between species detected and identified in each sensor confirms that a multi-sensor approach for monitoring is beneficial. There were no observed collisions; two individuals (1 bird and 1 bat) suffered air displacement, causing them to fall, but they recovered and continued flying. ATOM also collected novel data on insects, tracking over 7,000 insects around the turbine rotor swept zone and revealed foraging behaviour in 596 of the 1,581 bird and bat detections. Offshore wind turbines thus provide potential sites for perching and foraging. Although these turbine sites provide a new opportunity to feed, which may be beneficial for insectivores and omnivores in enabling them to reach migration destinations in better condition, the consequences of a potentially delayed arrival are unknown (positive, negative, or neutral). Overall, our approach produced the first detailed insights into terrestrial land bird and bat activity around offshore turbines, providing novel information on changes in behaviour when turbine blades are moving and during higher wind speeds. Moreover, our data show that foraging activity appears to be conducted with an awareness of the moving blades and in safe zones close but parallel to blade movements. We recorded 113 observations of activity within 10 m of the moving blades and 70 observations where interactions with moving turbine blades were within 1 m; we call these latter avoidance measures nanoavoidance. No collisions were observed.
Sustainable end-of-life value chain scenarios for wind turbine blades
Authors: Fayyaz S , Lund K W , Khoshnevisan B , Madsen E S , Birkved M 
Published: May 2023

Abstract
This study presents a sustainable end-of-life (EoL) value chain scenario assessment framework for decommissioned wind turbine blades (WTBs) to address the challenge of increased volumes of WTBs reaching their EoL. Findings from the previous studies highlight that WTBs EoL scenarios and their upscaling are yet to be addressed environmentally and economically. The scenarios investigated herein are mechanical shredding, pyrolysis, and cement co-processing that can be industrially upscaled. Together with the industrial partners, end-of-life scenario value chains are identified, to assess their sustainability through material flow analysis (MFA), life cycle assessment (LCA), and techno-economic assessment (TEA). A prospective consequential LCA model is proposed for scenarios with different technology readiness levels (TRL) expected to be commercialized at different timeframes. IPCC’s Shared Socio-economic Pathways (SSPs) will be used to describe foreground and background systems in 2030, 2040, and 2050. More specifically, SSP1 (i.e., green road), SSP2 (i.e., middle road), and SSP5 (i.e., fossil-fueled development) will be employed and quantified based on integrated assessment models (IAM). Furthermore, environmental impacts, economic criteria, Social sustainability, and circularity cannot directly be compared to evaluate the scenarios. Thus, this research proposes multi-criteria decision-making (MCDM) method to evaluate the three end-of-life scenario value chains considering a prospective scheme and addressing the key challenges related to the assessment of emerging technologies. Furthermore, a full conceptual framework of the methodology is presented.
Assessment of turbulence intensity estimates from floating lidar systems
Authors: Kelberlau Felix , Neshaug Vegar , Venu Anish 
Published: May 2023

Abstract
In the pre-construction phase of offshore wind energy projects floating lidar systems (FLS) are used for wind site assessment. Their measurements of mean wind speed and direction have proven to be accurate according to existing standards. But for the assessment of turbulence intensity (TI), a widely-accepted procedure and acceptance criteria are missing. This study investigates different evaluation methods, namely linear regression analysis and the key performance indicators (KPIs) presented by the Consortium for Advancing Remote Sensing (CFARS). The assessment is based on data from an offshore trial of the Fugro SEAWATCH Wind Lidar Buoy (SWLB) against the meteorological mast and a collocated fixed profiling wind lidar at Blyth, UK. The results show that the accuracy of TI estimates from FLS can be evaluated well, when the KPIs mean bias error (MBE) and representative TI error suggested by CFARS are used. We propose best-practice acceptance thresholds of ±1% for MBE and ±1.5% for the representative TI error. The motion-compensation approach of the SWLB works well and after compensation, its TI data are similar to the data from the fixed reference lidar. The impact of lidar-specific effects is minor in the analyzed data set and near-to-zero biases are found for all measurement elevations and wind speed bins in comparison to mast data.
Analysis of the systematic errors of energy yield assessment in the context of wind farm repowering
Authors: Mazoyer P , Duc T , Bechmann A , Kariniotakis G 
Published: May 2023

Abstract
The repowering of wind farms is a rapidly developing area of research and is expected to represent 40 GW of wind projects by 2030 in the European Union. This has led to the emergence of energy yield assessment methods that incorporate operational data from existing farms with the aim of surpassing traditional methods that rely solely on physical modelling and onsite measurements. The current literature on repowering relies upon the assumption that learning from operational farm data applies to the future farm. Indeed, calibration and adjustment methods assume that physics-driven models (PDMs) have spatially and temporally correlated errors. This study investigates this assumption by analysing PDM errors for 25 pairs of nearby wind projects. A statistically significant correlation is observed. We discuss whether it is reasonable to utilise operational data from existing farms, which possess different characteristics, to improve the long-term production prediction of a repowered farm.
Wind fields from atmospheric turbulence measurements
Authors: Friedrich Jan , Peinke Joachim 
Published: May 2023

Abstract
We present recent advances in the modeling of wind fields and their reconstruction from real-world atmospheric turbulence measurements. The proposed wind field model provides a statistically coherent framework for modeling the empirically observed occurrence of extreme atmospheric events. Furthermore, we demonstrate that the model is general enough to enmesh real-world measurement points, e.g., from meteorological masts or LIDAR, and thus provides a rather convenient method for the reconstruction of highly resolved, three-dimensional wind fields. Our methodology is based on the so-called superstatistics of Gaussian-distributed (or Mann-type) velocity fields with fluctuating covariances and exactly reproduces higher-order statistics due to extreme small-scale wind fluctuations. Therefore, it could lead to more realistic inflow conditions and might potentially enhance the current design standard of wind turbines. We further discuss potential applications of the wind field model in the context of LIDAR measurements as well as for wake situations.
Data-driven characterization of performance trends in ageing wind turbines
Authors: Murgia Alessandro , Cabral Henrique , Tsiporkova Elena , Astolfi Davide , Terzi Ludovico 
Published: May 2023

Abstract
The precise quantification of wind turbine long- and short-term performance is crucial to assess the health state of ageing turbines and to evaluate the benefit of maintenance activities. Indeed, during its lifetime, wind turbines can experience a decay in terms of performance (e.g. due to wear) or improvement (e.g. due to technology optimizations). For this reason, we developed an integrated data-driven methodology to characterize the long- and short-term performance trends and performance variability in turbines. The methodology is validated on a synthetic dataset with imposed decay and then tested on a real wind farm operated by Engie Italy and composed of seven turbines for which ten years of SCADA data are collected. We show how this methodology accurately captures the evolution of a turbine’s performance and how it is capable of quantifying the impact of the controller update.
Effect of wind speed distribution and site assessment on pitch bearing loads and life
Authors: Rezaei Ashkan , Nejad Amir R. 
Published: May 2023

Abstract
In this paper, the wind speed distribution at thirteen onshore and offshore wind sites has been studied. Different probability distributions are used to estimate the wind speed distribution. Several goodness-of-fit indicators were used to assess the suitability of the fitting. The highest results were achieved by Kernel distribution in both onshore and offshore wind sites. Onshore wind sites did not fit well compared to offshore wind sites. Rayleigh distribution results at onshore wind sites were worse than at offshore wind sites. Onshore and offshore wind distributions result in various load duration distributions in pitch bearing. The concept of life ratio was introduced to compare the long-term fatigue life of the pitch bearing in different wind speed conditions. It is observed that the fatigue life of the pitch bearings in some wind sites is less than that of related IEC classes, and the risk of failure of the pitch bearing before the end of its expected designed fatigue life exists.
Geomorphological mapping and landform characterization of Semeru volcano after the eruption in 2021
Authors: Bachri S , Fathoni M N , Sumarmi  , Masruroh H , Wibowo N A , Khusna N , Billah E N , Yudha L 
Published: May 2023

Abstract
The eruption of the Semeru volcano in 2021 has diverse impacts on the landscape and surroundings. It is essential to detect recent landscape features to promptly evacuate personnel and property near the volcano and take emergency treatment measures in case of sudden danger. This study presents a detailed geomorphological map on a 1:50.000 scale for the Semeru volcano after the eruption in 2021. The analysis of the hybrid approach and the on-screen image interpretation (OSII) method on DEM data, optical satellites, and lithology units was carried out to obtain morphological, morphochronological, and morphoarrangement information. While, morphoprocess information was obtained through field observations. We used DAS Rejali for our study area. The results of identifying geomorphological conditions divide the Rejali watershed area into 32 landforms consisting of landform units from volcanic, structural, fluvial, and marine processes. Twenty-three land units in the research location are landforms from volcanic processes. This condition causes morphological conditions, material availability, and processes that dominantly reflect the characteristics of an active volcano. In addition, the landform units from the fluvial process in the Rejali watershed area were identified as many as six units in the form of floodplains of lahar flows along the main river. Landforms with structural genesis were placed in Mandalika formation and diorite rock breakthrough. The structural formation in the Rejali watershed has retention and rock structures that are not easily eroded by water. It becomes a bottleneck formation as a barrier between the upstream and middle areas
Rural waste management model in creating an inclusive economy
Authors: Rahmawati Emma , Mujianto  , Amir Azhar , Sukarno Taufan Daniarta , Suprapedi  
Published: May 2023

AbstractWaste is a common problem faced in various regions, a lot of waste has not been handled especially in the rural areas. The percentage of waste generated in villages is higher than in the urban areas, mostly due to the larger number of residents in villages. But behind the waste problem, there is an economic opportunity if the village can manage it well. Currently, there are villages that have succeeded in managing their waste that can realize an inclusive economy inside their villages. Therefore, the purpose of this research is to develop a village waste management model in implementing an inclusive economy. This research method used descriptive qualitative data collection through in-depth interviews, FGD’s and observation. The results showed that the village waste management model includes a management team, processing plan, technology, financing, utilization and collaboration. This village waste management model involves various parties and the participation of village communities inclusively proven to reduce poverty and stunting in the village.
Measuring opportunities: Transforming Indonesia’s economy through utilizing natural resources for sustainable development through green economy indicators
Authors: Anggraeni V , Achsanta A F , Purnomowati N H 
Published: May 2023

Abstract
Many countries with low to medium incomes need a long time to recover from the economic downturn caused by Covid-19. The impact of Covid-19 affects the main development priorities in Indonesia, such as poverty alleviation, the achievement of sustainable development, and the transformation of the green economy. The economic and fiscal constraints facing Indonesia need attention, and the Indonesian economy needs to establish policy criteria. The purpose of this article is to analyze the environmental problems in Indonesia and then identify the government policy related to sustainable development programs to release them. The Ministry of Finance has an essential role in the SDGs by allocating National Budget to environmental programs. Sustainable development is Indonesia’s commitment to the international community to reduce the use of carbon emissions to promote a green economy. The green economy indicators that we elaborate in supporting SDGs programs are low-carbon development, resource efficiency, and socially inclusive.
Mapping the Semeru lahar-flood hazard of Supiturang Village using the analytical hierarchy process (AHP) method
Authors: Irawan L Y , Prasetyo W E , Wahyu H Z P , Devy M M R , Yusuf A M , Hartono R , Purwanto  
Published: May 2023

Abstract
Supiturang is one of the villages in Kecamatan Pronojiwo, Kabupaten Lumajang that sits on the lahar flow path of Semeru Volcano. The village constantly faces a lahar-flood hazard, inevitably impacting the local community. Therefore, this paper aims to map the lahar-flood hazard of Supiturang village using the analytical hierarchy process (AHP) method. The main parameters are 1) slope (%), 2) distance from drainage (m), 3) elevation (m ASL), 4) rainfall (mm), and 5) land cover (water body/bare land/forest/grassland/plantation/ricefield/mixed agriculture/built-up area). This research is a descriptive-quantitative study that used survey and geographic information system (GIS) approaches. The result showed that the lahar-flood hazard class of Supiturang varies from very low, low, moderate, high, to very high. The very high hazard class is distributed near the lahar flow path. Despite most settlements being in the moderate hazard class, some are in the high and very high hazard class. The findings from this research can advantage the further improvement and development of evacuation routes, assembly points, refuges, observatory stations, and other related Semeru Volcano disaster risk mitigation actions.
Effect urban development on urban heat island in Depok Subdistrict, Sleman Regency, Yogyakarta
Authors: Irawati D , Noviani R , Rindarjono M G 
Published: May 2023

Abstract
Urban development follows population growth caused by various factors, both natural and non-natural. The increasing number of residents in Depok Subdistrict makes the demand for land also increase. Residential land that continues to develop can cause temperature conditions in Depok Subdistrict to increase or known as Urban Heat Island. This study purpose to determine how the influence of urban development on the Urban Heat Island phenomenon and to analyze the Urban Heat Island and land surface temperatures. This study concludes that there has been an urban heat island in Depok Subdistrict in 2014 with a distribution area of 49% of the total area of Depok Subdistrict and 51% non-UHI with a UHI threshold of 26.18°C. Meanwhile, in 2019 there was a decrease in UHI. to 30% of the total area and 70% are in non-UHI areas with a UHI threshold of 27.18°C. Although there is a decrease in UHI, the surface temperature of the soil has increased from 29.78°C to 31.10°C. In Depok Subdistrict population density does not affect the UHI value but the surface tribe value does affect the UHI index value.
Vulnerability, susceptibility and community preparedness for flood disaster in Banyumas, Indonesia
Authors: Noveles Aditya Indit , Muryani Chatarina , Nugraha Setya 
Published: May 2023

Abstract
Banyumas Subdistrict, Banyumas Regency, which is an area prone to flooding, it is proven that five villages were flooded and dozens of people were evacuated due to the overflowing of the Serayu River so which had an impact on socio-economic conditions. Information on flood hazard and vulnerability data is still in numerical form (table) so it has not been mapped spatially. The objectives of this study were: (1) To analyze the level of flood vulnerability in Banyumas District, Banyumas Regency (2) To analyze the level of flood susceptibility in Banyumas District, Banyumas Regency (3) To analyze the level of community preparedness in dealing with flood disasters in Banyumas District, Banyumas Regency. The research method uses a descriptive approach. The sampling technique used was the saturated sample method and the simple random sample method. Data collection techniques using field observations, interviews, questionnaires, and documentation. The data analysis technique used to determine the level of vulnerability and susceptibility to flooding uses spatial analysis and scoring, to determine the level of community preparedness in dealing with flood disasters using descriptive analysis. The results of the study are: (1) The level of flood vulnerability in Banyumas District is dominated by a high level of vulnerability as many as 18 land units with an area of 1.668,53 Ha (39%). (2) The level of flood susceptibility in Banyumas District is dominated by a moderate level of susceptibility in as many as 10 villages with an area of 2.684,72 Ha (83%) and high susceptibility in as many as 2 villages with an area of 1.342,86 Ha (17%). (3) The level of community preparedness in dealing with flood disasters in Kedunguter Village is ready to face flood disasters.
Assessment moral hazard of crop insurance in Indonesia
Authors: Suryanto  , Rosalia Amelia Choya Tia 
Published: May 2023

Abstract
Moral hazard is crucial issue in insurance not only in developing countries but also in developed countries. This research is to find out the cause of moral hazard on the implementation of crop insurance in Indonesia. To support farmers in risk management and prevent financial losses the Indonesian government subsidizes crop insurance by paying 80% of the premiums. This study asked to farmer as primary data in Karanganyar Regency, Central Java. The result indicates that landholding size, farming experience, age, study experience, income, and farmers’ participation in crop insurance influence the farmers’ production cost. While farming and study experience has no significant influence on production cost. This study found that there is a risk of moral hazard when farmers are covered by crop insurance. This means that farmers will not take the necessary precautions to protect their crops, leading to greater losses.
The impact of climate change on the production of cassava and sweet potato in Indonesia
Authors: Sutrisno J , Agustono  , Fajarningsih R U , Khairiyakh R , Ulfa A N , Nurhidayati I 
Published: May 2023

Abstract
Cassava and sweet potato are important commodities in Indonesia. They have a role as carbohydrate sources and industrial commodities. Climate factors are environmental production factors that are the most difficult to be controlled. However, climate changes that are happening have certainly made the situation worse. Therefore, this study aims to determine the effect of climate change from climatic factors of temperature, humidity, rainfall, rainy days, and solar exposure on cassava and sweet potato production in Indonesia. This study collected climate factor data from the Indonesian Central Statistics Agency and the Central Statistics Agencies of 34 Indonesian provinces. The study concluded that climatic variables such as temperature, humidity, rainfall, rainy days, and solar exposure affect cassava and sweet potato production at 18% and 26%, respectively. The climatic factors simultaneously significantly affect cassava and sweet potato production. The T-test indicates that temperature, humidity, and rainy days significantly negatively affect cassava production. In contrast, rainfall and solar exposure have a positive impact individually on it. On the other hand, the response of sweet potato production to climate change was different. Temperature and humidity have significant negative effects on sweet potato production, while rainfall and solar exposure have considerable positive effects.
Several variables affecting provincial Air Quality Index (AQI) in Indonesia 2012 – 2019
Authors: Susilo Yuvensius Sri , Putranto Laurensius Farel Dwi 
Published: May 2023

Abstract
The purpose of this study is to determine and analyze several variables that affect the Air Quality Index (AQI) in Indonesia in 2012 – 2019. The data used in this study is secondary data in the form of panel data related to the variables of AQI, circular economy, and digital economy in 34 provinces in Indonesia in the period 2012 – 2019. The secondary data used were retrieved from the Ministry of Environment and Forestry (KLHK), the Central Statistics Agency (BPS) and the Provincial Sanitation Office (DKK) in Indonesia. The analytical tool used in this research is static panel data econometrics. The results showed that the circular economy variables in the dimensions of water resource efficiency by industry, waste treatment, and waste production have a significant effect on improving air quality in Indonesia. Meanwhile, the circular economy variables in the dimensions of coal and water resource use efficiency by the population have not been able to support the improvement of air quality in Indonesia. Furthermore, it was found that the variables indicating the application of the digital economy also had a significant effect on improving air quality in Indonesia. The results of this study are expected to be a reference for the community, policy makers, and academics in responding to the importance of maintaining the momentum of economic activity expansion along with maintaining regional air quality through new economic approaches.