bluuebunny/crossref_metadata_2025_split huggingface dataset:
Changing climate risks for high-value tree fruit production across the United States
Authors: Preston Shawn , Rajagopalan Kirti , Yourek Matthew , Kalcsits Lee , Singh Deepti 
Published: November 2024

Abstract
Climate change poses growing risks to global agriculture including perennial tree fruit such as apples that hold important nutritional, cultural, and economic value. This study quantifies historical trends in climate metrics affecting apple growth, production, and quality, which remain understudied. Utilizing the high-resolution gridMET dataset, we analyzed trends (1979–2022) in several key metrics across the U.S.—cold degree days, chill portions, last day of spring frost, growing degree days (GDD), extreme heat days (daily maximum temperature >34 °C), and warm nights (daily minimum temperatures >15 °C). We found significant trends across large parts of the U.S. in all metrics, with the spatial patterns consistent with pronounced warming across the western states in summer and winter. Yakima County, WA, Kent County, MI, Wayne County, NY—leading apple-producers—showed significant decreasing trends in cold degree days and increasing trends in GDD and warm fall nights. Yakima county, with over 48 870 acres of apple orchards, showed significant changes in five of the six metrics—earlier last day of spring frost, fewer cold degree days, increasing GDD over the overall growth period, and more extreme heat days and warm nights. These trends could negatively affect apple production by reducing the dormancy period, altering bloom timing, increasing sunburn risk, and diminishing apple appearance and quality. Large parts of the U.S. experience detrimental trends in multiple metrics simultaneously that indicate the potential for compounding negative impacts on the production and quality of apples and other tree fruit, emphasizing the need for developing and adopting adaptation strategies.
Role of the Warm Arctic Cold Eurasian-like pattern on the near future warming rate of East Asian surface temperature
Authors: Oh Sae-Yoon , Yeh Sang-Wook , Park In-Hong , Yoo Changhyun , Moon Byung-Kwon 
Published: November 2024

Abstract
Internal climate variability (ICV) plays an important role in either accelerating or slowing down the rate of surface temperature warming in East Asia in the near future. To examine the influence of ICV on East Asian surface temperature in the near future, we mainly analyzed the data sets obtained from Max Planck Institute Grand Ensemble model simulations under the Representative Concentration Pathway 8.5 scenario. It is found that the ICV associated with the so-called Warm Arctic-Cold Eurasian (WACE)-like pattern contributes to the near-future warming rate of East Asian surface temperature. Similar results are also obtained from large ensemble model simulations participating in the Coupled Model Intercomparison Project Phase 6 under the Shared Socioeconomic Pathways 5–8.5 scenario. This implies that the near-term warming rate in East Asia could vary depending on how the climate model simulates the WACE-like pattern, indicating that the ability to accurately simulate ICV in climate models is crucial for future climate mitigation and adaptation policies.
Power Brownian Motion: an Ornstein–Uhlenbeck lookout
Authors: Eliazar Iddo 
Published: November 2024

Abstract
The well-known Ornstein–Uhlenbeck process (OUP) is the central go-to Gaussian model for statistical-equilibrium processes. The recently-introduced power Brownian motion (PBM) is a Gaussian model for diffusive motions, regular and anomalous alike. Using the Lamperti transform, this paper establishes PBM as the ‘diffusion counterpart’ of the OUP. Namely, the paper shows that PBM is for diffusive motions what the OUP is for statistical-equilibrium processes. The intimate parallels between the OUP and PBM are explored and illuminated via four main perspectives. (1) Statistical characterizations. (2) Kernel-integration with respect to Gaussian white noise. (3) Spatio-temporal scaling of the Wiener process. (4) Langevin stochastic dynamics driven by Gaussian white noise. To date, the prominent Gaussian models for anomalous diffusion are fractional Brownian motion (FBM), and scaled Brownian Motion (SBM). Due to its intimate OUP parallels, due to the ‘anomalous features’ it displays, due to the fact that it encompasses SBM, and following a detailed comparison to FBM: this paper argues the case for PBM as a central go-to Gaussian model for regular and anomalous diffusion.
Climate Change Impact and Adaptation of Traditional Fishermen in Rangas Village, Majene Regency
Authors: Wahyudi Adip , Deffinika Ifan , Arif Mohamad , Setiawan Akemat Rio , Priadmodjo Anggit , Erwin Muh. Alfarezi 
Published: November 2024

Abstract
Most of the growth centers in Majene are developing in coastal areas which highly vulnerable to climate change impacts, with the economic sector most affected being capture fisheries. Rangas Village, Banggae District affected by climate change because 80% of the population in the area depends on the capture fisheries sector for their livelihood. Therefore, using qualitative descriptive method, this research aims to examine impact of climate change on traditional fishermen in Rangas Village and adaptation actions taken. Result of the research indicates that climate change impacts felt by fishermen is unpredictable weather, especially large sea waves which often become obstacles to their activities. To overcome this, they have to do fishing activity in area outside Majene Regency. Most fishermen still use traditional methods which is observation of wind movement to determine the right time to sail. Due to these adaptation measures, most fishermen did not experience a decrease in the number of catches. This is in accordance with statistical data which states that fish catches tend to increase from 2021-2023. However, there is a decrease in fish prices compared to previous years, which is due to fish stocks tending to exceed needs, so their income also tends to decrease.
The Role Sampling Campaign: Opportunities for Utilizing Natural Landscapes to Fulfill Microhydro-Based Renewable Energy in Remote Area
Authors: Setiawan Iwan , Rohmat Dede , Suhendro  , Kamila Raksa Salat 
Published: November 2024

Abstract
West Java, as a province with a low electrification ratio, especially in remote areas, faces significant challenges. Recent data shows that around 77,626 households (34.91%) do not yet have access to electricity. Nonetheless, the southern region of West Java has great potential thanks to its diverse natural morphology. These landscape characteristics open up opportunities to utilize renewable energy sources, such as micro-hydro potential, to meet electricity needs. The objectives of this study include (1) Priority Election Needs of Area of Interest (AOI); (2) Sampling Campaign: Micro Hydro Opportunities in AOI. The research method used was survey research with a mixed approach. Data collection techniques include field data documentation; geospatial analysis and interviews. Data analysis was descriptive statistics. The results showed that (1) Garut Regency (3.76%) is a priority location with Singajaya sub-district (14.34%) and Sukamulya village (34.32%); (2) Sukamulya Village has potential micro hydro energy opportunities at Tiis waterfall at the foot of Mount Lumbung, the results of a rough assessment of this location can provide electrical energy to surrounding family groups. The implication of this research output can be a relevant reference for the local government to be followed up in the future action plan.
Community Participation in Mangrove Conservation: the Evidence from Blang Sebel, Simeulue
Authors: Permana Sendi , Harefa Meilinda Suriani , Tuhono Eling , Rahmadi M.Taufik , Lubis Darwin Parlaungan , Restu  , Novira Nina , Sintong Mahara , Ginting M.Rizky Pratama , Halim Jennifer , Habib Muhammad 
Published: November 2024

Abstract
Yayasan Konservasi Pesisir Indonesia (Yakopi) is one of the non-profit organizations that focuses on mangrove conservation in Indonesia. The mangrove restoration program that has been carried out by Yakopi for the Simeulue Regency Region, especially Blang Sebel Village, is planting mangroves covering 19.19 hectares. Therefore, other tools are needed to complement the planting program through mangrove zoning mapping and making village regulations for mangrove protection. This research approach is qualitative using the Participatory Rural Appraisal (PRA) method. The data collection techniques used are Focus Group Discussion (FGD), Participatory Mapping, and documentation with the data analysis technique used is descriptive analysis. The results of the study show that mangrove zoning mapping is applied with three zones, namely the utilization zone, buffer zone, and core zone. Based on community deliberation, an agreement was reached on village regulations No. 04 of 2023 for mangrove protection in Blang Sebel. Based on the results of the research, it is hoped that community-based mangrove management can take place in a sustainable manner to realize the balance of coastal ecosystems at local level and minimize the impact of climate change at global level.
Advancing Carbon Stock Estimation and 3D Tree Modeling: Harnessing the Potential of Low-Cost Backpack LiDAR Technology
Authors: Prasetyo Widodo Eko , Handayani Hepi Hapsari , Raharjo Agus Budi , Saptarini Dian 
Published: November 2024

Abstract
The maintenance of carbon stocks in the forest is fundamental to the global carbon cycle and is essential for informing climate change policy. Traditional methods for measuring carbon stocks have often been labor-intensive and expensive, involving measurements that include DBH, and tree height. However, LiDAR technology provides an efficient alternative for swiftly assessing forest vegetation structure. In this study, a low-cost backpack equipped with LiDAR technology was utilized to create three-dimensional tree models, enabling precise estimations of stem volume and carbon stock. By collecting data on DBH and vertical plant structure, the researchers could produce highly accurate three-dimensional models. The results indicated that the low-cost backpack LiDAR yielded DBH estimates very close to manual measurements, characterized by a linear regression equation of y = 1.0106x - 0.2911 and a coefficient of determination R2 = 0.99822. The results confirmed the high accuracy of DBH measurement using LiDAR, with RMSE in a value of 0.53 cm. This study unequivocally establishes that low-cost backpack LiDAR is an effective tool for measuring biomass and carbon stocks in forests, offering superior monitoring capabilities compared to conventional methods.
Geospatial Analysis of Tsunami Hazards and Mitigation Strategies
Authors: Susiati Heni , Widiawaty Millary Agung , Sunardi Sunardi , Taufik Mohammad , Kholiq Muhammad Abdul , Dede Moh. , Afriana Nana Nur , Sukriah Erry , Pane Jupiter Sitorus 
Published: November 2024

Abstract
Indonesia has experienced its deadliest disasters named tsunamis, particularly since the devastating earthquakes in Aceh and Yogyakarta. The Sunda Strait region and its surrounding areas, located in the Megathrust zone of western Java, are especially vulnerable to tsunami events. Geospatial technology’s advancement offers disaster mitigation strategies with potential for loss reduction. This research aims to analyze tsunami hazards and its mitigation using geospatial approach. We focused on Pagelaran Sub-District in Pandeglang Regency, Banten, Indonesia. Secondary sources and field checks provide research data on hazards and tsunami evacuation routes. We used several data such as slope, coastlines, elevation, river and road networks, as well as land use. Analysis was carried out employing weighting, scoring, overlay, and network techniques. Tsunami hazard is categorized in three categories ie. low, medium, and high. In Tegalpapak, Margagiri, and Margasana villages, a total residential area of 34.93 hectares places these villages in a high vulnerability category. The fastest evacuation route covers 1 km in 2.41 minutes (Margagiri Village). Efforts to mitigate tsunami risk include identifying and mapping potential threats, community outreach, enhanced spatial planning, and placement of evacuation signs.
Analysis of Deformation and Flood Inundation Spatial Distribution Using Sentinel-1 SAR Data for The 2021 South Kalimantan Floods
Authors: Febriansyah M N , Bioresita F , Hayati N 
Published: November 2024

Abstract
Major flood disasters that have occurred in Indonesia, one of which occurred in South Kalimantan in early 2021. This flood disaster was caused by high rainfall intensity. There are several relationships between rainfall, flood, and deformation. The objective of this study is to monitor deformation in flood inundation that occurred during the flood disaster in South Kalimantan. Observations with direct measurements in the field provide high data accuracy, but in its implementation there are limitations. Therefore, we utilize the development of Synthetic Aperture Radar (SAR) technology in observing flood inundation spatial distribution and deformation in South Kalimantan. Using SAR cannot be as accurate as direct measurements in the field, but it is effective in saving time, can be applied to wide area coverage, and can be observed multitemporally. The SAR data used is Sentinel-1 imagery with C-band which can be freely accessed and has high spatial and temporal resolution. In flood mapping with backscatter using change detection, the flood inundation distribution was 2022.558 km2. The results show deformation variations in the form of land subsidence of up to 15.9 cm in the flood distribution area.
GIS Modelling for Prediction of Tsunami Inundation Areas in Coastal Areas of Malang Regency
Authors: Irawan Listyo Yudha , Islam Shafi Noor , Sumarmi  , Ardiansyah Zunan Faruq , Dani Fajar Ahmad , Fadhlurahman Imam , Religi Muhammad Denzel , Sari Risky Rena Anggia , Farihah Siti Nur 
Published: November 2024

Abstract
This study utilizes Geographic Information System (GIS) modeling to predict potential tsunami inundation areas along the coastal regions of Malang Regency. The capabilities of GIS in this research integrate regional topography and land use data to model tsunami inundation scenarios accurately. The topographic modeling process employs Alos Palsar Digital Elevation Model (DEM) data, which provides detailed elevation information critical for assessing inundation risks. Three altitude scenarios 10 meters, 15 meters, and 20 meters are analyzed to gauge the extent and height of potential tsunami waves. In the 10-meter scenario, the areas most susceptible to inundation include Donomulyo, Bantur, and Gedangan, highlighting these zones as critical areas for immediate attention. As the scenario elevation increases to 15 meters, Gedangan, and Sumbermanjing Wetan emerge as the most vulnerable regions, suggesting a broader risk as tsunami wave heights escalate. The 20-meter scenario further accentuates the vulnerability of Gedangan and Sumbermanjing Wetan Districts, which exhibit the widest potential inundation areas. By identifying the most at-risk areas, this research provides valuable insights for policymakers and planners to develop targeted strategies to mitigate the impact of tsunamis. Advanced GIS modeling is a crucial tool in enhancing the preparedness and resilience of coastal communities against tsunami hazards.
Flood Hazard Mapping in Cimandiri Watershed using Fuzzy Logic Method Based on Multi-Source Geospatial Datasets
Authors: Widyatmanti Wirastuti , Puti Andini Giwang , Priatmadja Gusti Riffat , Raihan Hana Syafi , Sholihah Silfia Mar’atus , Hanif Raden Rara Irsyamaulina , Khoirurrizqi Yusri , Utami Nur Laila Eka 
Published: November 2024

Abstract
Flood is a frequent disaster in the Cimandiri watershed. This is evidenced by the fact that during 2017-2022, 37 floods occurred in this area. This condition causes losses to the community and damage to the environmental ecosystem. Therefore, disaster management is needed to overcome and reduce the impact of this flood. One management that can be done is by mapping flood hazard areas. However, until now there is no map available that presents the flood hazard study area in the Cimandiri watershed. If available, the maps generally cover Regency, sub-Regency, or large-scale maps covering the entire territory of Indonesia. This condition causes deficiencies or misinformation on the map because the scale of the study is irrelevant. Based on this, this study attempts to conduct flood hazard mapping in the Cimandiri watershed with a scale of analysis of 100,000. This study uses fuzzy logic method to generate hazard maps based on spatial parameters, rainfall, distance from the river, elevation, slope, vegetation density, land cover, soil type, and topographic wetness. The results of this method produce a hazard map with a class range of 0 to 1, a class that is close to 1 means that it has a high level of hazard. To see the correctness of this map, a validation test was carried out using flood data from 2017-2022 which contained 37 flood event data. Based on the validation results, 86% of flood points are in the non-0 hazard class (low hazard), only 13% are incorrect because they are in the 0-hazard class.
Design Thinking of Smart School Emergency Tents Modular Based as Post-Disaster Recovery
Authors: Purwanto  , Irawan Listyo Yudha , Aripriharta  , Fauzan Slamet , Farihah Siti Nur , Sofiana Eva Indra , Nugroho Laksono Dwi 
Published: November 2024

Abstract
Indonesia’s geological location has a significant impact on disasters in Indonesia. This disaster caused economic losses, casualties, and psychosocial disorders, namely post-traumatic stress disorder, especially at vulnerable ages, one of which was students. This research aims to develop innovations related to post-disaster recovery efforts for learning activities that were hampered by damage to school buildings by paying more attention to healing Post Traumatic Stress Disorder (PTSD) in students. The method used is the Design Thinking Framework which consists of Emphatize, Define, Ideate, Prototype, and Testing. Data collection techniques use literature study, indirect observation, and Forum Group Discussion. Data analysis uses descriptive qualitative by describing the results of observations, literature studies, and focus group discussions. The results is Modular-Based Smart School Emergency Tents prototype. The originality or value of this research lies in the idea of an emergency school tent that has a personal energy source, portable tables, and is modular based. The module that accompanies this tent guides teachers in carrying out trauma healing for students who are indicated to be experiencing post-traumatic stress disorder.
Spatio-Temporal Analysis of Water Hyacinth Density (Eichhornia crassipes) in Lake Rawa Pening 2019 - 2023 Using NDVI Algorithm on Google Earth Engine (GEE)
Authors: Sari D N , Wismoyo G S , Sari D N 
Published: November 2024

Abstract
Water hyacinth (Eichhornia crassipes) is an aquatic plant that floats in freshwater waters that has the ability to grow very fast and is invasive. This plant is able to reproduce vegetatively and generatively and is able to double its population within two weeks so that it can endanger the ecosystem in the waters. The purpose of this research is to map the distribution pattern, dynamics of changes in vegetation density and changes in water hyacinth area with spatial-temporal techniques using remote sensing technology processed using GEE in Lake Rawa Pening. The satellite image used is Sentinel level-2A with high spatial resolution with a recording time of May 2019 - 2023. This study uses the NDVI method to measure the greenness of vegetation and help identify the density of water hyacinth vegetation. The results of the vegetation density index show that there are five classification for vegetation density levels, and the outcomes of the accuracy test that was conducted range from -0.15 to 0.94. obtained an overall accuracy of 86.6% and a kappa coefficient value of 0.81. These results show that the use of Sentinel 2A imagery can be used for vegetation density index mapping using the NDVI algorithm in GEE with a good level of accuracy and conformity between map and field and the image processing that has been done is appropriate.
Revealing the Independent Campus Learning Program (MB-KM) in Sustainable on Increasing The Competency of Geography Education Students
Authors: Utami Wiwik Sri , Yani Muhammad Turhan , Zain Ita Mardiani , Prastiyono Hendri , Setyasih Iya , Ibrahim Mohd Hairy bin 
Published: November 2024

Abstract
Quality education is one of the SDG targets, especially the development of student affairs programs in universities. Through the independent campus independent learning curriculum or called ”Merdeka Belajar Kampus Merdeka” (MB-KM), study programs have more freedom to design and carry out implementation both on campus and outside campus. This research aims to analyze the implementation of the MB-KM program in geography education study programs in Indonesia. The approach used is quantitative with a survey design. Respondents were selected using purposive sampling techniques and collected data through questionnaires from the heads of geography education study programs who are members of the professional association of geography educators (P3GI). The research results show that the MB-KM program is running effectively in 17 Geography Education Study Programs throughout Indonesia. The effectiveness can be seen from various advantages and is effective in soft and hard skill activities carried out to improve the competency of geography education students during the implementation of MB-KM. Students have the freedom to choose activities that are in accordance with the linearity and ability to support the achievements of graduates of the study program.
Unidirectional steel wire reinforced metal matrix syntactic foams
Authors: Szovák Benedek , Kemény Alexandra , Orbulov Imre Norbert 
Published: November 2024

Abstract
A double composite structure has been successfully produced using vacuum infiltration. In this structure, the matrix was unalloyed aluminium filled with Lightweight Expanded Clay Aggregate Particles to create metal matrix syntactic foam, and stainless steel wires were placed inside this matrix as unidirectional reinforcement. The wires created a shape-locking bond with the matrix owing to their wave-like form, which helped to prevent reinforcement pullout. Based on the acquired tensile data, the tensile strength of the specimens calculated with the theoretical maximum area of reinforcement wires is Rm, theoretical = 1063 ± 192 MPa, while the tensile strength of the individual wires is Rm, wires = 882 ± 2, which leads to the conclusion that the matrix distributed some of the stress.
Failure Analysis of Cu-DHP Joining Processes: A Comparative Study of FSW and SFSW Techniques
Authors: Boțilă L N , Perianu I A , Radu B , Codrean C , Nicolaescu M , Binchiciu E-F 
Published: November 2024

Abstract
This article presents a failure analysis conducted on specimens extracted from 2.5 mm sheets of Cu-DHP (Cu99), which were joined using friction stir welding (FSW) and submerged friction stir welding (SFSW) processes. To evaluate the performance of the welded joints, destructive and non destructive tests, including tensile tests were performed. Additionally, morphologic analysis using scanning electron microscopy (SEM) combined with energy dispersive X-ray (EDX) and fractography investigations were carried out on the samples. The results of experimental research show refined microstructures both for FSW and SFSW welding. Improved mechanical properties have been obtained for SFSW welding, compared to FSW. SFSW specimens demonstrates superior tensile strength and a higher hardness compared to FSW specimens, by performing joining process underwater. The fracture surfaces of the tensile test specimens from the base material (BM), FSW and SFSW joints, revealed the ductile fracture mechanism of the joints. EDX analysis confirms compositional integrity of the base and welded metals. Results highlights suitability of the FSW and SFSW processes for joining of copper Cu-DHP.