bluuebunny/crossref_metadata_2025 huggingface dataset:
KESESUAIAN PENGGUNAAN OBAT ANTIHIPERTENSI PADA PASIEN BPJS RAWAT INAP DENGAN FORMULARIUM RUMAH SAKIT DI RSUD DR. MOEWARDI SURAKARTA
Authors: Yuliana Irma , Pratama Kharisma Jayak , Septiarini Anita Dwi
Published: January 2024

Hipertensi adalah salah satu penyakit yang menyebabkan kesakitan pada sesorang bahkan menyebabkan kematian. Tujuan dari penelitian ini adalah untuk mengetahui penggunaan obat antihipertensi di RSUD Dr. Moewardi Surakarta pada periode bulan Juli-Desember 2022 dan kesesuaian dengan formularium rumah sakit. Penelitian ini dilaksanakan di RSUD Dr. Moewardi Surakarta. Metode penelitian ini menggunakan metode deskriptif non eksperimental dan pengambilan data secara retrospektif. Penelitian ini dilakukan dengan cara mengolah data sekunder penggunaan obat antihipertensi pada pasien hipertensi di instalasi rawat inap RSUD Dr. Moewardi Surakarta periode bulan Juli-Desember 2022. Hasil dari penelitian tersebut menunjukkan bahwa obat yang digunakan sebagai pengobatan antihipertensi adalah golongan CCB seperti: amlodipin, nicardipin, dan klonidin. Golongan beta blocker seperti: bisoprolol, dan concor®. Golongan ARB seperti: candesartan dan valsartan. Golongan diuretik loopseperti: Furosemide. Golongan aldosteron reseptor antagonis seperti: spironolacton. Golongan thiazid diuretic obatnya seperti: hidroclorotiazide. Golongan ACEI seperti: lisinopril, dan ramipril. Obat antihipertensi yang paling banyak digunakan adalah golongan CCB yaitu amlodipin (26,33%), Kemudian obat kombinasi yang paling banyak digunakan adalah golongan ACEI dengan golongan beta blocker yaitu ramipril dengan bisoprolol (25,17%) dan golongan CCB dengan golongan ARB yaitu amlodipin dengan candesartan (13,91%). Kesesuaian obat antihipertensi di instalasi rawat inap di RSUD Dr. Moewardi Surakarta sudah sesuai dengan formularium rumah sakit (100%).
Patients with glenohumeral arthritis are more likely to be prescribed opioids in the emergency department or urgent care setting
Authors: Gorbaty Jacob , Wally Meghan K. , Odum Susan , Yu Ziqing , Hamid Nady , Hsu Joseph R. , Beuhler Michael , Bosse Michael , Gibbs Michael , Griggs Christopher , Jarrett Steven , Karunakar Madhav , Kempton Laurence , Leas Daniel , Phelps Kevin , Roomian Tamar , Runyon Michael , Saha Animita , Sims Stephen , Watling Brad , Wyatt Stephen , Seymour Rachel
Published: January 2024

Objective: The objective is to quantify the rate of opioid and benzodiazepine prescribing for the diagnosis of shoulder osteoarthritis across a large healthcare system and to describe the impact of a clinical decision support intervention on prescribing patterns.

Design: A prospective observational study.

Setting: One large healthcare system.

Patients and participants: Adult patients presenting with shoulder osteoarthritis.

Interventions: A clinical decision support intervention that presents an alert to prescribers when patients meet criteria for increased risk of opioid use disorder.

Main outcome measure: The percentage of patients receiving an opioid or benzodiazepine, the percentage who had at least one risk factor for misuse, and the percent of encounters in which the prescribing decision was influenced by the alert were the main outcome measures.

Results: A total of 5,380 outpatient encounters with a diagnosis of shoulder osteoarthritis were included. Twenty-nine percent (n = 1,548) of these encounters resulted in an opioid or benzodiazepine prescription. One-third of those who received a prescription had at least one risk factor for prescription misuse. Patients were more likely to receive opioids from the emergency department or urgent care facilities (40 percent of encounters) compared to outpatient facilities (28 percent) (p < .0001). Forty-four percent of the opioid prescriptions were for “potent opioids” (morphine milliequivalent conversion factor > 1). Of the 612 encounters triggering an alert, the prescribing decision was influenced (modified or not prescribed) in 53 encounters (8.7 percent). All but four (0.65 percent) of these encounters resulted in an opioid prescription.

Conclusion: Despite evidence against routine opioid use for osteoarthritis, one-third of patients with a primary diagnosis of glenohumeral osteoarthritis received an opioid prescription. Of those who received a prescription, over one-third had a risk factor for opioid misuse. An electronic clinic decision support tool influenced the prescription in less than 10 percent of encounters.
Besser hören, smarter leben
Authors: Schaarschmidt Martin
Published: January 2024

Hörgeräte: Viele Nutzer ab 45 oder 50 hören noch recht gut, wollen aber in bestimmten Momenten besser verstehen oder komfortabel telefonieren. Neueste Produkte bieten genau das. Die Preise variieren je nach Aufwand beim Hörakustiker und dem Zuschlag der Krankenkassen. Von Martin Schaarschmidt
Pengembangan Media BK Interaktif melalui Aplikasi CapCut
Authors: Sigit Dwi Sucipto  , Yosef Yosef  , Ratna Sari Dewi  , Rani Mega Putri  , Romi Fajar Tanjung
Published: January 2024

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk malakukan pendampingan pengembangan keterampilan pengembangan media BK interaktif pada kurikulum merdeka belajar bagi guru SMP di Kabupaten Lahat. Pelatihan pengembangan pengembangan media BK pada kurikulum merdeka belajar bagi guru SMP di Kabupaten Lahat ini dilakukan dengan pendampingan teknis dan workshop. Kegiatan Pendampingan ini diawali dengan memberikan guru SMP di Kabupaten Lahat ini pengetahuan mengenai konsep-konsep media BK. Sasaran dalam kegiatan pengabdian ini adalah 25 guru SMP di Kabupaten Lahat. Hasil evaluasi yang dilakukan diketahui skor N Gain sebesar 0,74 artinya peningkatan pengetahuan guru mencapai kategori tinggi. Peningkatan pengetahuan juga didukung oleh media yang telah dihasilkan sendiri melalui pendampingan yang dilakukan untuk membuat media BK interaktif melalui aplikasi canva. Produk yang dihasilkan oleh guru SMP di Kabupaten Lahat dengan kategori sangat baik dengan persentase sebesar 91,2%. Hal tersebut menunjukkan bahwa guru SMP di Kabupaten Lahat dapat memahami dan mengaplikasikan pembuatan media BK pada kurikulum merdeka belajar.
Penanganan Sampah Dalam Menciptakan Lingkungan Bersih Dan Sehat Di Desa Kunjorowesi Kab. Mojokerto
Authors: Muhammad Romli  , Ficky Raja Dirgantara Daulay
Published: January 2024

Abstrak

Sampah sekarang tidak hanya permasalahan lingkungan dan masyarakat perkotaan saja tetapi sudah mulai merambah ke area pedesaan yang hingga kini belum ada solusinya. Hal ini terjadi di dusun Sekantong desa Kunjorowesi kec. Ngoro Mojokerto. Desa ini belum memiliki sistem dan sarana prasarana dalam penanganan sampah. Adapun kegiatan ini dimulai dari tanggal 21 Februari-21 Maret 2023. Dalam pengabdian ini menggunakan metode Participatory Action Research( PAR). Berdasarkan uraian dan hasil pembahasan kegiatan pengabdian menggunakan metode PAR, dapat disimpulkan bahwa kegiatan pengabdian di dusun Sekantong desa Kunjorowesi berjalan dengan baik mulai dari pemetaan masalah yang dibantu masyarakat, berdialog langsung dengan warga dan perangkat desa, sosialisasi sistem penanganan sampah dan realisasi tempat pembuangan sampah. Tujuan dari pengabdian ini supaya masyarakat dusun Sekantong memahami akan pentingnya penanganan sampah dalam menciptakan lingkungan yang bersih dan sehat.
¿Por qué los alumnos españoles fracasan en la educación obligatoria? Un análisis desde la perspectiva del profesorado
Authors: Tahull Fort Joan
Published: January 2024

En los últimos años, en los países occidentales, también en España, las mujeres han salido del ámbito privado y se han desarrollado profesionalmente. La educación, junto con la sanidad, han sido las profesiones en las cuales ellas se han consolidado laboralmente con más eficacia. Esta irrupción ha tenido muchos aspectos positivos, principalmente su empoderamiento y demostración de su valía, aunque también ha podido comportar algunas disfunciones, por ejemplo la significativa desigualdad en los resultados académicos en Educación Primaria y Secundaria de las alumnas y alumnos españoles. En una sociedad compleja y del conocimiento, la educación es fundamental para facilitar el encaje y empleabilidad de los futuros ciudadanos. La investigación trata sobre los resultados académicos de los alumnos españoles mediante el análisis de datos cuantitativos de organismos públicos e informes internacionales relevantes.
Experiencia de uso de herramientas de Inteligencia Artificial en un curso universitario: evaluación y perspectivas
Authors: Herrero Zamora Verónica
Published: January 2024

En diversos ámbitos profesionales, la difusión de herramientas de inteligencia artificial facilitó tareas repetitivas, sistemáticas, así como las de complejidad considerable. La experimentación como alumno de las ventajas y las limitaciones del uso de herramientas de Inteligencia Artificial (IA) resultan valiosas en la etapa formativa. El análisis se enfoca en un caso de aplicación, en tres cursos (120 alumnos) de Investigación de mercado de la carrera de grado Licenciatura en Comercialización, donde aplicando aprendizaje por proyectos, en una de las etapas se utilizó ChatGPT. En grupos, realizaron preguntas, con enriquecimiento adecuado y especificaciones convenientes, para proponer un diseño metodológico asociado a una cierta necesidad de investigación de mercados. Se esperaba además que revisan críticamente las respuestas conseguidas, adecuen, completen, corrijan críticamente, ya la evaluación implicaba realizar una propuesta válida. Los productos finales obtenidos permitieron descubrir un espectro de comportamientos diferentes. Algunos grupos realizaron una base a partir de las respuestas, mejoraron sus preguntas y lograron propuestas asertivas. En el otro extremo, algunos grupos solo dejaron, acríticamente, la propuesta obtenida de ChatGPT, con notorios errores e inconsistencias. Las reflexiones posteriores al trabajo permitieron revisar las prácticas y generar ideas de usos posibles, beneficiosos y eficaces de la herramienta de IA.
Innovación educativa en el aprendizaje de rehabilitación oral: Evaluación de la usabilidad de un Objeto Virtual de Aprendizaje (OVA) de Prótesis Total
Authors: Aparicio Herrera Angélica , Leguízamo Vacca Claudia Marley
Published: January 2024

Antecedentes: El desarrollo de habilidades prácticas y apropiación de conocimiento teórico es fundamental para la formación en rehabilitación oral en el ámbito odontológico. Sin embargo, los modelos tradicionales de enseñanza presentan ciertas limitaciones, sobre todo en el campo práctico, asociadas a los ejercicios demostrativos por la cantidad de estudiantes en el aula, restricción a una sola demostración, entre otros. Las características de un Objeto Virtual de Aprendizaje (OVA) permiten reforzar y complementar los conocimientos adquiridos en clases teóricas, y a su vez en la práctica, mejorando así el proceso de aprendizaje. Por esto surge la necesidad de desarrollar un Objeto Virtual de Aprendizaje para este campo, y evaluar en qué medida su usabilidad facilita el logro de los objetivos del proceso de aprendizaje en Prótesis Total. Métodos: Se llevó a cabo un estudio descriptivo observacional de corte transversal. La población de estudio fueron 58 estudiantes, hombres y mujeres inscritos en la asignatura preclínica de rehabilitación oral II de la Universidad Nacional de Colombia para el semestre académico 2023-II. Este estudio constó de tres fases: 1. Diseño y elaboración del Objeto Virtual de Aprendizaje en Prótesis Total. 2. Aplicación y uso del OVA como parte de la metodología de la asignatura rehabilitación oral II. 3. Recopilación de datos y análisis estadístico. Resultados: El OVA en prótesis total presenta un alto nivel de facilidad de aprendizaje, eficiencia de uso y retención en el tiempo. Su tasa de error es baja, además los niveles de satisfacción subjetiva de los estudiantes frente a la herramienta son positivos en cuanto a dimensión estética y contenidos demostrativos y teóricos. Por último, existe una correlación positiva entre el cumplimiento de los objetivos del curso y el uso del OVA. Conclusiones: El "OVA de Prótesis Total" no solo ha contribuido para cumplir con éxito los objetivos teórico-prácticos de la asignatura Rehabilitación Oral II, sino que también ha proporcionado una experiencia de aprendizaje satisfactoria y efectiva para los estudiantes. Se ha observado que la herramienta es fácil de usar, ha promovido la retención a largo plazo y además ha generado un alto nivel de satisfacción entre los estudiantes. Estos hallazgos respaldan la efectividad y utilidad de objetos virtuales de aprendizaje en el contexto de la educación en odontología, y sugieren su viabilidad para su implementación en otros programas educativos relacionados.
PENGARUH KOMUNIKASI KERJA DAN PROFESIONALISME KERJA TERHADAP KINERJA KARYAWAN PADA DINAS KEHUTANAN DAN LINGKUNGAN HIDUP PROVINSI BALI
Authors: Anggada Hardoyogi Tampubolon  , Ni Putu Nina Eka Lestari
Published: January 2024

This research aims to determine the influence of work communication and work professionalism on the performance of Bali Province Forestry and Environment Service employees. The type of research used in this research is quantitative with a sample size of 76 respondents. The sampling technique in this research used random sampling technique. The data analysis technique used in this research is simple linear regression using the SPSS program. The results of this research show that first, work communication has a positive and significant effect on the performance of Bali Province Forestry and Environment Service employees. Second, work professionalism has a positive and significant effect on the performance of Bali Province Forestry and Environment Service employees. Third, work communication and work professionalism simultaneously influence the performance of Bali Province Forestry and Environment Service employees.
PENGARUH FINANCIAL KNOWLEDGE, FINANCIAL ATTITUDE, DAN FINANCIAL LITERACY TERHADAP FINANCIAL MANAGEMENT BEHAVIOR PADA UMKM SEKTOR FASHION KOTA BENGKULU
Authors: Indah Parastika  , Arifah Hidayati  , Idham lakoni
Published: January 2024

This study examine financial literacy financial attitude and financial knowledge in relation to financial management behavior in Bengkulu city's UMKM fashion industry. This study both quantitative and qualitative data gathering methods, including a questionnaire. The study's sample included 75 respondents. The saturated sample method is the sampling approach that is employed. processing of primary and secondary data utilizing SPSS's multiple regression analysis approach and statistical analysis methods. According to the study's findings, financial management behavior is positively impacted the factors of financial obligations, financial knowledge, and financial attitudes at the same time. Each independent variable influences financial management behavior favorably to some extent.
WORK FROM ANYWHERE TERHADAP KEPUASAN KERJA DIMEDIASI OLEH SOFT DAN HARD COMPETENCY DI PT POS INDONESIA SIDOARJO
Authors: Nur Layli Fatikhatun Nissa  , Sherly Amalia Fernanda  , Wahyu Eko Pujianto
Published: January 2024

Work from anywhere has become a trend in today’s digital era, especially during the Covid- 19 pandemic which forced many employees to work from home. Although work from anywhere has brought benefits such as flexibility and convenience, it has also created several challenges, such as difficulties in maintaining work order and lack of social interaction with colleagues. The purpose of this study was to determine the effect of work from anywhere on job satusfaction and increase job satisfaction by prioritizing initiative and independence among employees to implement work effectiveness mediated by soft and hard competencies. The method used in this research is quantitative with an explanatory approach
MODEL KNOWLEDGE SHARING PADA KELOMPOK USAHA BERSAMA (KUB) DI GEMPOL PASURUAN
Authors: Rozanatul Maroddah  , Laila Ulul Ilmi  , Wahyu Eko Pujianto
Published: January 2024

Joint Business Group (KUB) is an organization as a forum for community empowerment to review economic improvement. This study aims to identify the knowladge sharing model in KUBs in Gempol Pasuruan District Villages with a research sample of 13 villages. The research used a qualitative model with descriptive type. Data collection techniques through observation, interviews, and documentation. The results showed that knowledge sharing in KUBs in Gempol Subdistrict Villages includes: (1) Regular Cadence (RC); (2) Integrating Expertise (IE); (3) Diversity and Inclusion (DI); (4) Regular Knowladge Update (RKU); (5) Interconnected Platforms that are Accessible to all (IPA); and (6) Create Points of Contact within Different Departments of an Organization (CPCDDO)
KETERAMPILAN APA YANG SIAP DIGUNAKAN GEN Z SAAT BEKERJA DI ERA INDUSTRI 4.0: BUKTI DI PENDIDIKAN TINGGI INDONESIA
Authors: Fery Riyanto  , Hardani Widhiastuti  , Rusmalia Dewi
Published: January 2024

Universities around the world have recently expanded their attention to include “employability skills,” which are the soft and hard skills deemed relevant and important for graduates to start a career in a rapidly changing labor market. This research looks at competency, hard skills, and soft skills, as well as work preparation in the industrial era 4.0 among Indonesian state and private university students in Generation Z. Work preparation in the industrial era 4.0, competency, hard skills and soft skills are the variables used. in this research. All participants in this research were students from Indonesian public and private universities, or generation Z. A total of 400 final semester Generation Z students aged 18 to 28 years were used as samples in this research. Proportional random sampling is the method used for sampling. Questionnaires are used in survey data collection methods. AMOS 26 software was used in the data analysis procedure for this research with the Structural Equation Model (SEM). The findings of this research indicate that although soft skills have a direct or indirect impact on job readiness, hard skills have an indirect effect.
PENGARUH INVESTMENT OPPORTUNITY SET, KEPEMILIKAN MANAJERIAL, DAN SUSTAINABILYTY ACCOUNTING TERHADAP NILAI PERUSAHAAN
Authors: Wahyu Agustini  , Komang Fridagustina Adnantara  , Made Yudi Darmita
Published: January 2024

This study aims to obtain empirical evidence regarding the effect of investment opportunity sets, managerial ownership, and sustainability accounting on firm value in manufacturers listed on the Indonesia Stock Exchange in 2019-2021 because several previous studies have shown inconsistent results. The value of the company is very important because it can affect the perception of investors towards the company so that the company will have more convenience in obtaining funds from investors. The population in this study are all manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2019-2021 period. The sampling technique in this study used a purposive sampling method so as to get 19 companies as a research sample with a total of 57 companies. The data analysis technique used in this study uses multiple linear regression. The test results show that the investment opportunity set has an effect on firm value. Managerial ownership affects the firm value. Sustainability accounting affects the firm value.
IMPLEMENTASI RESEP STANDAR DALAM MENJAGA KONSISTENSI KUALITAS MAKANAN (STUDI DI RESTORAN SEADUCTION FRII HOTEL BALI ECHO BEACH CANGGU BALI)
Authors: I Made Ngurah Ryan Yasa Permana  , Ni Putu Yunik Anggreni  , Ni Wayan Mekarini
Published: January 2024

The basic function of standard recipes as a control over food preparation. Processing food using standard recipes will produce dishes that are consistent in terms of taste and quality. FRii Hotel Bali Echo Beach is a three-star hotel that applies standard recipes on handling food processing. This research was conducted to find out how standard recipes is implemented at the Seaduction FRii Hotel Bali Echo Beach Restaurant as well as the obstacles in the implementation process, and efforts to overcome them. This research uses standard prescription theory. The data analysis technique used is descriptive qualitative which describes, illustrates and explains in detail the problems studied. Data collection methods used include observation, interviews and documentation study. The research results show that (a) the implementation of standard recipes at the Seaduction Restaurant is carried out using a training method consisting of making standard recipes, briefings and practice, as well as controlling the supply and preparation of raw materials, preparation of cooking utensils, manufacturing process and serving; (b) The restaurant faced obstacles in the process of implementing standard recipes so efforts are made to overcome these obstacles by monitoring discipline, warnings, and even certain funishment.
STRATEGI PENGEMBANGAN DAYA TARIK WISATA SUNGAI TELAGA WAJA SEBAGAI DESTINASI WISATA KELUARGA DI KABUPATEN KARANGASEM
Authors: Putu Agus Prayogi  , Ni Putu Putri Widyaningsih
Published: January 2024

Telaga Waja River is one of natural attractions located in Karangasem, Bali. This tourist destination has interesting potential based on the natural resources that could be developed into family attractions. This study aimed to analyze how the Telaga Waja River in Tangkup Village can develop into an alternative family tourism in Bali. In addition, the purpose of this research was to identify the tourist attractions in Telaga Waja River as well as the alternative for its development for families. Data collected by observation and interview and then analize with descriptive qualitative approach while data sources are primer and secondary source. The research found out that Telaga Waja River has sufficient 4A tourism components (attraction, amenities, accessibility, ancillary) but needs to be developed to optimize the attraction or tourist activities for tourists, especially families. The attraction that could be added such as camping site, gathering area, fishing spot, play ground for children. Those alternative attractions need serious support from the village leader, training for local people (human recources), strong planning as well as community involvement and support to implement the community-based tourism in Tangkup Village Karangasem.
Diskusi filioque
Authors: Hutagalung Pitta Uli , Timo Eben Nuban
Published: January 2024

Kontroversi yang terjadi antara Timur dan Barat sehubungan filioque memberi dampak yang cukup krusial. Sebut saja dampak paling jelas adalah skisma tahun 1054 antara gereja Timur dan Barat. Tetapi perpisahan itu bukan hanya bersifat teritorial, tetapi juga menyentuh perkembangan teologi masing-masing pihak. Sesuai kebutuhan konteksnya, teologi Timur dan Barat diletakkan pada pondasi yang berbeda. Timur beranjak dari pneumatologi, sedangkan Barat memulai dengan kristologi. Oleh sebab itu, berkembangnya teologi kedua pihak tentu memengaruhi teologi di berbagai tempat. Salah satunya ialah teologi di Indonesia yang bisa dikatakan memiliki keunikan. Unik karena memiliki kekayaan tradisi Timur, tetapi bercorak teologi Barat. Keunikan ini perlu dikelola dengan baik oleh gereja dalam berteologi sesuai konteksnya sendiri. Menjadi suatu keprihatinan bersama ketika gereja bersikap antipati atas tradisi konteksnya, contohnya penolakan gereja terhadap kearifan lokal. Oleh sebab itu tulisan ini hendak menguraikan suatu pemaknaan dari kontroversi filioque yang dapat menginspirasi gereja di Indonesia dalam mengembangkan teologinya.
PENGARUH PERSEPSI DUKUNGAN ORGANISASI DAN KUALITAS KEHIDUPAN KERJA TERHADAP KINERJA GURU MUHAMAD SUHARDI
Authors: SUHARDI MUHAMAD
Published: January 2024

The aim of this research is to determine the influence of perceptions of organizational support and quality of work life on the work performance of teachers at SMKN 1 Keruak for the 2021/2022 academic year. The research methodology is a survey selected using a simple random sampling technique. Analysis and interpretation of data shows that (1) perceived organizational support has a positive direct effect on job performance, (2) quality of work life has a positive direct effect on job performance, (3) perceived organizational support has a positive direct effect on quality of work life .
ABSTRAKTujuan dari penelitian ini adalah untuk mengetahui pengaruh persepsi dukungan organisasi dan kualitas kehidupan kerja terhadap prestasi kerja guru SMKN 1 Keruak tahun pelajaran 2021/2022. Metodologi penelitian adalah survey yang dipilih dengan teknik simple random sampling. Analisis dan interpretasi data menunjukkan bahwa (1) dukungan organisasi yang dirasakan memiliki efek langsung positif dalam kinerja pekerjaan, (2) kualitas kehidupan kerja memiliki efek langsung positif dalam kinerja pekerjaan, (3) dukungan organisasi yang dirasakan memiliki efek langsung positif dalam kualitas kehidupan kerja.
Particulate-bound alkyl nitrate pollution and formation mechanisms in Beijing, China
Authors: Yang Jiyuan , Lei Guoyang , Zhu Jinfeng , Wu Yutong , Liu Chang , Hu Kai , Bao Junsong , Zhang Zitong , Lin Weili , Jin Jun
Published: January 2024

Abstract. Fine particulate matter (PM2.5) samples were collected between November 2020 and October 2021 at the Minzu University of China in Beijing, and the n-alkyl nitrate concentrations in the PM2.5 samples were determined to investigate n-alkyl nitrate pollution and formation mechanisms. C9–C16 n-alkyl nitrate standards were synthesized, and the n-alkyl nitrate concentrations in PM2.5 were determined by gas chromatography triple quadrupole mass spectrometry. Temporal trends in and correlations between particulate-bound n-alkyl nitrate, ozone, PM2.5, and nitrogen dioxide concentrations were investigated to assess the relationships between particulate-bound n-alkyl nitrate concentrations and gas-phase homogeneous reactions in the photochemical process and speculate the particulate-bound n-alkyl nitrates' formation mechanisms. The n-alkyl nitrate concentrations in the PM2.5 samples were 9.67–2730 pg m−3, and the mean was 578 pg m−3. The n-alkyl nitrate homologue group concentrations increased as the carbon chain length increased; i.e., long-chain n-alkyl nitrates contributed more than short-chain n-alkyl nitrates to the total n-alkyl nitrate concentrations in PM2.5. The n-alkyl nitrate concentrations clearly varied seasonally and diurnally, the concentrations decreasing in the order winter > spring > autumn > summer and the mean concentrations being higher at night than in the day. The particulate-bound n-alkyl nitrate and ozone concentrations significantly negatively correlated despite gas-phase alkyl nitrate and ozone concentrations previously being found to positively correlate. This indicated that long-chain alkyl nitrates may not be produced during gas-phase homogeneous reactions. The particulate-bound n-alkyl nitrate concentrations followed the same trends as and significantly positively correlated with the PM2.5 and nitrogen dioxide concentrations. Nitrogen dioxide is an important contributor of nitrates in particulate matter. This indicated that particulate-bound n-alkyl nitrates may form through non-homogeneous reactions between alkanes and nitrates on particulate matter surfaces. As secondary pollutants, particulate-bound alkyl nitrates are important components of PM2.5 during haze events and strongly affect haze pollution and atmospheric visibility.
Assessing potential indicators of aerosol wet scavenging during long-range transport
Authors: Hilario Miguel Ricardo A. , Arellano Avelino F. , Behrangi Ali , Crosbie Ewan C. , DiGangi Joshua P. , Diskin Glenn S. , Shook Michael A. , Ziemba Luke D. , Sorooshian Armin
Published: January 2024

Abstract. As one of the dominant sinks of aerosol particles, wet scavenging greatly influences aerosol lifetime and interactions with clouds, precipitation, and radiation. However, wet scavenging remains highly uncertain in models, hindering accurate predictions of aerosol spatiotemporal distributions and downstream interactions. In this study, we present a flexible, computationally inexpensive method to identify meteorological variables relevant for estimating wet scavenging using a combination of aircraft, satellite, and reanalysis data augmented by trajectory modeling to account for air mass history. We assess the capabilities of an array of meteorological variables to predict the transport efficiency of black carbon (TEBC) using a combination of nonlinear regression, curve fitting, and k-fold cross-validation. We find that accumulated precipitation along trajectories (APT) – treated as a wet scavenging indicator across multiple studies – does poorly when predicting TEBC. Among different precipitation characteristics (amount, frequency, intensity), precipitation intensity was the most effective at estimating TEBC but required longer trajectories (>48 h) and including only intensely precipitating grid cells. This points to the contribution of intense precipitation to aerosol scavenging and the importance of accounting for air mass history. Predictors that were most able to predict TEBC were related to the distribution of relative humidity (RH) or the frequency of humid conditions along trajectories, suggesting that RH is a more robust way to estimate TEBC than APT. We recommend the following alternatives to APT when estimating aerosol scavenging: (1) the 90th percentile of RH along trajectories, (2) the fraction of hours along trajectories with either water vapor mixing ratios >15 g kg−1 or RH >95 %, and (3) precipitation intensity along trajectories at least 48 h along and filtered for grid cells with precipitation >0.2 mm h−1. Future scavenging parameterizations should consider these meteorological variables along air mass histories. This method can be repeated for different regions to identify region-specific factors influencing wet scavenging.
Transferability of ML-based Global Calibration Models for NO2 and NO Low-Cost Sensors
Authors: Abu-Hani Ayah , Chen Jia , Balamurugan Vigneshkumar , Wenzel Adrian , Bigi Alessandro
Published: January 2024

Abstract. It is essential to accurately assess and verify the effects of air pollution on human health and the environment in order to develop effective mitigation strategies. More accurate analysis of air pollution can be achieved by utilizing a higherdensity sensor network. In recent studies, the implementation of low-cost sensors has demonstrated their capability to quantify air pollution at a high spatial resolution, alleviating the problem of coarse spatial measurements associated with conventional monitoring stations. However, the reliability of such sensors is in question due to concerns about the quality and accuracy of their data. In response to these concerns, active research efforts have focused on leveraging machine learning (ML) techniques in the calibration process of low-cost sensors. These efforts demonstrate promising results for automatic calibration, which would significantly reduce the efforts and costs of traditional calibration methods and boost the low-cost sensors’ performance. As a contribution to this promising research field, this study aims to investigate the calibration transferability between identical low-cost sensor units (SUs) for NO2 and NO using ML-based global models. Global models would further reduce calibration efforts and costs by eliminating the need for individual calibrations, especially when utilizing networks of tens or hundreds of low-cost sensors. This study employed a dataset acquired from four SUs that were located across three distinct locations within Switzerland. We also propose utilizing O3 measurements obtained from available nearby reference stations to address the cross-sensitivity effect. This strategy aims to enhance model accuracy as most electrochemical NO2 and NO sensors are extremely cross-sensitive to O3. The results of this study show excellent calibration transferability between SUs located at the same site (Case A), with the average model performance being of R2 = 0.90 ± 0.05 and RMSE = 3.4 ± 0.9 ppb for NO2, and R2 = 0.97 ± 0.02 and RMSE = 3.1 ± 0.8 ppb for NO. There is also relatively good transferability between SUs deployed at different sites (Case B), with the average performance for NO2 being R2 = 0.65 ± 0.08 and RMSE = 5.5 ± 0.4 ppb, and R2 = 0.82 ± 0.05 and RMSE = 5.8 ± 0.8 ppb for NO. Interestingly, the results illustrate a substantial improvement in the calibration models when integrating O3 measurements, which is more pronounced when SUs are situated in regions characterized by elevated O3 concentrations. Although the findings of this study are based on a specific type of sensor and sensor model, the methodology is flexible and can be applied to other low-cost sensors with different target pollutants and sensing technologies. Furthermore, this study highlights the significance of leveraging publicly available data sources to promote the reliability of low-cost air quality sensors.
Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of MPTRAC v2.6
Authors: Hoffmann Lars , Haghighi Mood Kaveh , Herten Andreas , Hrywniak Markus , Kraus Jiri , Clemens Jan , Liu Mingzhao
Published: January 2024

Abstract. Lagrangian particle dispersion models are indispensable tools for the study of atmospheric transport processes. However, Lagrangian transport simulations can become numerically expensive when large numbers of air parcels are involved. To accelerate these simulations, we made considerable efforts to port the Massive-Parallel Trajectory Calculations (MPTRAC) model to graphics processing units (GPUs). Here we discuss performance optimizations of the major bottleneck of the GPU code of MPTRAC, the advection kernel. Timeline, roofline, and memory analyses of the baseline GPU code revealed that the application is memory-bound and performance suffers from near-random memory access patterns. By changing the data structure of the horizontal wind and vertical velocity fields of the global meteorological data driving the simulations from Structure of Arrays (SoA) to Array of Structures (AoS), and by introducing a sorting method for better memory alignment of the particle data, performance was greatly improved. We evaluated the performance on NVIDIA A100 GPUs of the Jülich Wizard for European Leadership Science (JUWELS) Booster module at the Jülich Supercomputing Center, Germany. For our largest test case, transport simulations with 108 particles driven by the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 reanalysis, we found that the runtime for the full set of physics computations was reduced by 75 %, including a reduction of 85 % for the advection kernel. In addition to demonstrating the benefits of code optimization for GPUs, we show that the runtime of CPU-only simulations is also improved. For our largest test case, we found a runtime reduction of 34 % for the physics computations, including a reduction of 65 % for the advection kernel. The code optimizations discussed here bring the MPTRAC model closer to applications on upcoming exascale high performance computing systems, and will also be of interest for optimizing the performance of other models using particle methods.
Characteristics and sources of VOCs and the O3-NOx-VOCs relationships in the central plain city, China
Authors: Zhang Dong , Li Xiao , Yuan Minghao , Xu Yifei , Xu Qixiang , Su Fangcheng , Wang Shenbo , Zhang Ruiqin
Published: January 2024

Abstract. Volatile organic compounds (VOCs) are important precursors of ozone (O3) generation. Understanding the characteristics, and emission sources of VOCs, and the relationship between VOCs and O3 during O3 pollution are of great significance for O3 pollution control. This study investigated the characteristics, sources, and effects of VOCs on O3 formation in Zhengzhou, Henan Province from 1st to 30th June 2023, and provided recommendations for O3 emission reduction strategies. Two O3 pollution events occurred during the observation period. During the observation period, the concentration of Total VOCs (TVOCs) varied from 9.9 to 60.3 ppbv, with an average of 22.8 ± 8.3 ppbv. The average concentration of TVOCs in the two pollution events were higher than that on the clean days. Six major VOCs sources were identified by using the Positive Matrix Factorization model. Vehicular exhaust (28 %), solvent usage (27 %), and industrial production (22 %) were the main sources. An observation-based mode was applied to explore the O3-precursors relationship and observation-oriented O3 control strategies. The results of relative incremental reactivity (RIR) and empirical kinetics modeling approach showed that the O3 formation in Zhengzhou in June was in anthropogenic VOCs (AVOCs)-limited regimes. VOCs with the largest RIR values, while NOx had a negative RIR value. It was worth noting that the sensitivity of O3 generation to biogenic VOCs (BVOCs) was greater than that of AVOCs. From the perspective of the reduction effect, the reduction ratios of AVOCs/NOx should be no less than 3:1, which was conducive to the reduction of O3 formation.
Employing Automated Electrical Resistivity Tomography for detecting short- and long-term changes in permafrost and active layer dynamics in the Maritime Antarctic
Authors: Farzamian Mohammad , Herring Teddi , Vieira Goncalo , de Pablo Miguel Angel , Yaghoobi Tabar Borhan , Hauck Christian
Published: January 2024

Abstract. Repeated electrical resistivity tomography (ERT) surveys can substantially advance the understanding of spatial and temporal freeze-thaw dynamics in remote regions, such as Antarctica, where the evolution of permafrost has been poorly investigated. To enable the time-lapse ERT surveys in Antarctica, however, an automated ERT (A-ERT) system is required, as regular site visits are not feasible. In this context, we developed a robust A-ERT prototype and installed it in the Crater Lake CALM-S site at Deception Island, Antarctica to collect quasi-continuous ERT measurements. To efficiently process a large number of obtained A-ERT datasets, we developed an automated data processing workflow to efficiently filter and invert the A-ERT datasets and extract the key information required for a detailed investigation of permafrost and active layer dynamics. In this paper, we report on the results of two complete year-round A-ERT datasets collected in 2010 and 2019 at Crater Lake CALM-S site and compare them with available climate and borehole data. The A-ERT profile has a length of 9.5 m with an electrode spacing of 0.5 m, enabling a maximum investigation depth of approximately 2 m. Our detailed investigation of the A-ERT data and inverted modeling results shows that the A-ERT system can detect the active-layer freezing and thawing events with very high temporal resolution. The resistivity of the permafrost zone in 2019 is very similar to the values found in 2010, suggesting the stability of the permafrost over almost one decade at this site. The evolution of thaw depth exhibits also a similar pattern in both years, with the active layer thickness fluctuating between 0.20–0.35 m. However, a slight thinning of the active layer is evident in early 2019, compared to the equivalent period in 2010. These findings show that A-ERT, combined with the new processing workflow that we developed, is an efficient tool for studying permafrost and active layer dynamics with very high resolution and minimal environmental disturbance. The ability of the A-ERT setup to monitor the real-time progression of thaw depth, and to detect brief surficial refreezing and thawing of the active layer reveals the significance of the automatic ERT monitoring system to record continuous resistivity changes. This shows that the A-ERT setup described in this paper can be a significant addition to the Global Terrestrial Network for Permafrost (GTN-P) and the Circumpolar Active Layer Monitoring (CALM) networks to further investigate the impact of fast-changing climate and extreme meteorological events on the upper soil horizons and work towards establishing an early warning system for the consequences of climate change.
Evidence of slow millennial cliff retreat rates using cosmogenic nuclides in coastal colluvium
Authors: Bossis Rémi , Regard Vincent , Carretier Sébastien , Choy Sandrine
Published: January 2024

Abstract. The erosion of rocky coasts contributes to global cycles of elements over geological times and also constitutes a major hazard that may potentially increase in the future. Yet, it remains a challenge to quantify rocky coast retreat rates over millennia; a time span that encompasses the stochasticity of the processes involved. Specifically, there are no available methods that can be used to quantify slow coastal erosion (< 1 cm yr-1) averaged over millennia. Here, we use the 10Be concentration in colluvium, corresponding to the by-product of aerial rocky coast erosion, to quantify the local coastal retreat rate averaged over millennia. We test this approach along the Mediterranean coast of the Eastern Pyrenees (n=8) and the desert coast in Southern Peru (n=3). We observe a consistent relationship between the inferred erosion rates, the geomorphic and climatic contexts. The retreat rates are similar, 0.3–0.5 mm yr-1 for five samples taken on the Mediterranean coast, whereas one sample located on a cape and two samples from a vegetated colluvium have a lower rate of ~0.1 mm yr-1. The coastal retreat rate of the drier Peruvian coast is slower at 0.05 mm yr-1. Although the integration periods of these erosion rates may encompass pre-Holocene times, during which the sea-level and thus the retreat rate were much lower, we conclude here that the associated bias on the inferred retreat rate is less than 80 %. We anticipate that this new method of quantifying slow rocky coastal erosion will fill a major gap in the coastal erosion database and improve our understanding of both coastal erosion factors and hazards.
Modeling hydropower operations at the scale of a power grid: a demand-based approach
Authors: Baratgin Laure , Polcher Jan , Dumas Patrice , Quirion Philippe
Published: January 2024

Abstract. Climate change and evolving water management practices may have a profound impact on hydropower generation. While hydrological models have been widely used to assess these effects, they often present some limitations. A major challenge lies in the modeling of release decisions for hydropower reservoirs, which result from intricate trade-offs, involving power sector dispatch, competing water uses and the spatial allocation of power generation within the grid. To address this gap, this study introduces a novel demand-based approach for integrating hydropower within the routing module of land surface models. First, hydropower infrastructures are placed in coherence with the hydrological network and links are built between hydropower plants and their supplying reservoirs to explicitly represent water transfers built for hydropower generation. Then, coordinated dam operation is simulated by distributing a prescribed electric demand to be satisfied by hydropower over the different power plants on the power grid, while considering the operational constraints associated with the multipurpose nature of most dams. To validate our approach, this framework is implemented within the water transport scheme of a land surface model and assessed with the case study of the French electrical system. We drive the model with a high-resolution atmospheric reanalysis and prescribe the observed national hydropower production as the total power demand to be met by hydropower infrastructures. By comparing the simulated evolution of the stock in reservoirs to the observations, we find that the model simulates realistic operations of reservoirs and successfully satisfies hydropower production demands over the entire period. We highlight the roles of uncertainties in estimated precipitation and of the limited knowledge of hydropower networks on the estimation of production. Finally, we show that such an integration of hydropower operations in the model improves the simulations of river discharges in mountainous catchments affected by hydropower.
Evolution of river regime in the Mekong River basin over eight decades and role of dams in recent hydrologic extremes
Authors: Dang Huy , Pokhrel Yadu
Published: January 2024

Abstract. Flow regimes in major global river systems are undergoing rapid alterations due to unprecedented stress from climate change and human activities. The Mekong River Basin (MRB) was, until recently, among the last major global rivers relatively unaltered by humans, but this is changing alarmingly in the last decade due to booming dam construction. Numerous studies have examined the MRB’s flood pulse and its alterations in recent years; however, a mechanistic quantification at the basin scale attributing these changes to either climatic or human drivers is lacking. Here, we present the first results of the changes in natural hydrologic regimes in the MRB over the past eight decades and the impacts of dams in recent decades by examining 83 years (1940–2022) of river regime characteristics simulated by a river-floodplain hydrodynamic model that includes 126 major dams in the MRB. Results indicate that while the Mekong’s river flow has undergone substantial decadal trends and variabilities, the operation of dams in recent years is causing a fundamental shift in the seasonal volume and timing of river flow and extreme hydrological conditions. Even though the dam-induced impacts are small so far and most pronounced in areas directly downstream of major dams, dams are intensifying the natural variations in the Mekong’s mainstream wet season flow. Further, dams have exacerbated drought conditions by substantially delaying the MRB’s wet season onset, especially in years when the natural wet season durations are already shorter than in normal years (e.g., 2019 and 2020). Further, dams have shifted up to 20 % of the mainstream annual volume between dry and wet seasons in recent years; while this has minimal impact on the MRB’s annual flow volume, the flood occurrence in many major areas of the Tonle Sap Lake and Mekong Delta have been largely altered. This study provides critical insights on the long-term hydrologic variabilities and impacts of dams on the Mekong’s flow regimes, which can help improve water resources management in light of intensifying hydrologic extremes.