Knowledge exchange between practitioners for the purpose of co-creating nature-based solutions by Borjana Bogatinoska, Angelique Lansu, Stefan C. Dekker, Jean Hugé, Jetse Stoorvogel

“…The objective is to assess the effectiveness of this model in facilitating stakeholder engagement and co-creation approaches in the context of increasing hydro-meteorological hazards. To achieve this, we applied the SECI model across eight brook catchments in Belgium, the Netherlands, France and the United Kingdom. …”
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Increased vulnerability of Arctic potential ice roads under climate change by Yuanbiao Dong, Pengfeng Xiao, Xueliang Zhang, Daqing Ge, Junchuan Yu, Yangyang Chen, Qiong Wu, Yanni Ma, Rongyuan Liu, Wenbo Luan, Hao Liu, Jie Bai

“…Using satellite remote sensing and meteorological data, we find changes in surface air temperature and snow cover reduced the climatic suitability of potential ice roads during 1979–2017. …”
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Correlations of Weather and Time Variables with Visits of Trauma Patients at a Regional Trauma Center in Korea by Hyuk Jin Choi, Jae Hoon Jang, Il Jae Wang, Mahnjeong Ha, Seunghan Yu, Jung Hwan Lee, Byung Chul Kim

“…Hourly weather service data were obtained from the Korea Meteorological Administration. Results The hospitalization rate showed positive correlations with temperature (r=0.635) and wind speed (r=0.501), but a negative correlation with humidity (r=−0.620). …”
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Effect of Weather on COVID-19 Transmission and Mortality in Lagos, Nigeria by Christian Ogaugwu, Hammed Mogaji, Euphemia Ogaugwu, Uchechukwu Nebo, Hilary Okoh, Stanley Agbo, Andrew Agbon

“…Correlation analysis was performed using incidence data on COVID-19 and meteorological data for the corresponding periods from 9th March to 12th May, 2020. …”
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Resilience enhancement strategy for distribution networks considering multiple flexibility resources collaboration by MA Canhao, CHEN Lijuan, WU Zhi

“…Firstly, the fault scenarios of lines and photovoltaic (PV) in the region are simulated by Monte Carlo method based on typical meteorological characteristics, and the typical scenarios are screened by using system information entropy to get the temporal fault states of lines and PV. …”
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A distributed photovoltaic short‐term power forecasting model based on lightweight AI for edge computing in low‐voltage distribution network by Yuanliang Fan, Han Wu, Jianli Lin, Zewen Li, Lingfei Li, Xinghua Huang, Weiming Chen, Jian Zhao

“…Firstly, based on the Pearson correlation coefficient method, an analysis is conducted on the historical operational data in the network to extract important meteorological features that are correlated with the photovoltaic power output. …”
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Effect of COVID-19 Prevention Measures on Air Quality in Thailand by Jenjira Kaewrat, Rungruang Janta

“…However, results for Northern provinces were unclear because PM2.5 concentrations were still high during WFH period due to effects from open burning activity as well as meteorological condition.…”
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Analysis on Changes in Water Level-Flow of the Pearl River Basin in Recent Years and Its Causes by TANG Jiaqi, DUAN Kai, HAO Lu

“…Aiming at the impact of climate change and rapid urbanization on the hydrological situation in the Pearl River Basin in recent years,this paper analyzes the evolution trend and variation characteristics of the water level,flow and water level-flow of 16 major hydrological stations in the Pearl River Basin from 1997 to 2013,and discusses the causes of the evolution of water level and flow in each sub-basin based on the meteorological,hydraulic engineering,and water and sediment data in the historical period.The results show that:①The average annual flow of most stations in the Pearl River Basin didn't change significantly,but the Jiangbianjie,Chongwei and Liuzhou stations in the Xijiang River Basin showed a significant reduction trend;②The flow of most stations in the flood season decreased,while that in the dry season increased.The different precipitation during the dry/flood season was the important factors leading to the change of flow in the Pearl River Basin;③The water level of most stations in the Xijiang River Basin showed a significant upward trend,which was caused by the aggravating water and soil loss.While under the influence of reservoir operation and sand mining activities,the Beijiang River Basin and the lower reaches of the Dongjiang River Basin showed a trend of riverbed down-cutting and water level lowering.…”
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Regression Model to Predict Global Solar Irradiance in Malaysia by Hairuniza Ahmed Kutty, Muhammad Hazim Masral, Parvathy Rajendran

“…The model is developed based on different available meteorological parameters, including temperature, cloud cover, rain precipitate, relative humidity, wind speed, pressure, and gust speed, by implementing regression analysis. …”
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Determination of Interesting Toxicological Elements in PM2.5 by Neutron and Photon Activation Analysis by Pasquale Avino, Geraldo Capannesi, Francesco Lopez, Alberto Rosada

“…The levels of natural origin element are higher than those in other countries owing to geological and meteorological factors peculiar to Central Italy. The levels of artificial elements are sometimes less than those in other countries, suggesting a less polluted general situation for Central Italy. …”
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Application of ensemble learning techniques to model the atmospheric concentration of SO2 by A. Masih

“…The prediction of Sulphur dioxide was based on atmospheric pollutants and meteorological parameters. While, the model performance was assessed by using four evaluation measures namely Correlation coefficient, mean absolute error, root mean squared error and relative absolute error. …”
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Runoff Simulation of Dadu River Basin Based on CORDEX Regional Climate Models by PAN Zhangrong, GUO Junhong, FU Zhenghui, WANG Shuhang, LI Wei, CHEN Zhuo, QING Hui

“…Studying the prediction of the runoff in Dadu River Basin under climate changes can effectively improve the future utilization rate of the water resources in this basin and provide a reference for hydropower dispatching.Specifically,stepwise clustering analysis is performed to correct and verify the 1970—2005 data of six coordinated regional climate downscaling experiment (CORDEX) regional climate models and thereby simulated the climate change trend of Dadu River Basin during 2030—2065.Then,an annual-scale Soil & Water Assessment Tool (SWAT) model of Dadu River Basin was built and calibrated and verified by SWAT-CUP.Finally,the corrected meteorological data of the future period were used to drive the SWAT model and ultimately to forecast the future runoff in Dadu River Basin.The results show that in this basin,precipitation will change slightly,and the maximum temperature and the minimum temperature will increase on the whole under future representative concentration pathway (RCP) 4.5 and RCP8.5 scenarios.The future runoff will roughly assume an increasing trend,and the runoff fluctuation trend before and after 2050 will be inconsistent.In other words,the runoff change is small before 2050,whereas the trend of runoff change under both scenarios becomes significantly larger,suggesting higher uncertainties in the prediction of the runoff in this basin.…”
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Event Driven Model for Dynamic Deduction of Transmission Line Safety Under Wildfire Disasters Based on Multi-Source Data by Zhipeng Li, Shuo Shen, Rui Dong, Chenfeng Qi, Yahan Zhang, Yanhong Wang

“…This method first constructs an event driven model that includes meteorological factors, terrain features, and wildfire propagation characteristics. …”
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Application of SWAT Model for Runoff Calculation in Small Watershed of Zhejiang Province by LAN Xuechun, WANYAN Sheng, ZHANG Zhenqi

“…To verify the applicability of the SWAT model in runoff calculation in small watershed of Zhejiang province,this paper collects daily records for the past 20 years from Wenling meteorological station,topographic map,land use and soil data,and establishes the SWAT model of the Human reservoir by using the SWAT2012 module loaded with Arcgis 10.2 software.In calibration period (1999—2008),R² (correlation coefficient) is 0.89 and E_NS (Nash-Sutcliffe efficiency) is 0.88;in validation period (2009—2018),R² is 0.93 and E_NS is 0.91.With an error of 1.3%,the simulated annual average flow is 0.8 m³/s and the observed flow is 0.79 m³/s,which indicating a high accuracy of the model.The sensitivity test of input parameters shows that the SOL_AWC.sol (available water capacity of soil) and CN2.mgt (runoff coefficient of different land use) are significant to simulated results.The model can be further used for forecasting the flood process and peak flow of Human reservoir,as well as optimizing the reservoir operation scheme and formulating the protection program of water source.…”
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Hydraulic-Hydrology Analysis of the Turbulent Seepage Flow within Karst Aquifer of the Golubinka Spring Catchment by Goran Lončar, Željko Šreng, Damir Bekić, Duška Kunštek

“…The chosen approach was a model using relatively scarce data set, including limnigraphic data on the difference between the sea water level and the freshwater level on the spring itself and the precipitation data from the meteorological station Zadar. The determination of discharge hydrographs, based on inherent assumptions and available data, yields the proportionality coefficients between the discharge and the limnigraphic data on the Golubinka spring itself. …”
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Analysis of Spatial Distribution of Climatic Comfort Conditions in Diyarbakır City by Murat Türkeş, Savaş Çağlak

“…Thermal comfort conditions were calculated with the Physiological Equivalent Temperature index obtained from the RayMan model using hourly measurement data for the 2015 – 2021 (7 years) period of four meteorological stations in the field. In the study, while 'cold' and 'cool' stresses are experienced in the winter season in Diyarbakır, 'warm', 'hot' and 'very hot' stresses were determined in the 5-month hot period of the year (May-September). …”
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Development of BRS-Pontal beans growing with treated domestic wastewater in protected environment by Raimundo Gomes Filho, Silvaneide Silva, Clayton Carvalho, Gregorio Faccioli, Tatiana Nunes, Simone Feitosa, Leonaria Carvalho

“…The data to estimate crop evapotranspiration using the FAO 56 Penman-Monteith method were obtained from a meteorological station installed inside the protected environment. …”
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Satellite Observations Reveal Declining Diatom Concentrations in the Three Gorges Reservoir: The Impacts of Dam Construction and Local Climate by Menglan Gan, Lei Feng, Jingan Shao, Li Feng, Yao Wang, Meiling Liu, Ling Wu, Botian Zhou

“…The results indicate that a synchronous diatom distribution is found between the upstream and downstream artificial lakes along the primary tributary in the Three Gorges Reservoir, and the causal relationships between the declining diatom trend and hydrological/meteorological drivers on the monthly and yearly scales are highlighted. …”
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Topside Electron Density Modeling Using Neural Network and Empirical Model Predictions by S. Dutta, M. B. Cohen

“…In prior work, an artificial neural network (NN) was developed and trained on two solar cycles worth of Defense Meteorological Satellite Program data (113 satellite‐years), along with global drivers and indices to predict topside electron density. …”
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Climate-optimized flight planning can effectively reduce the environmental footprint of aviation in Europe at low operational costs by Abolfazl Simorgh, Manuel Soler

“…We demonstrate that the effectiveness of flight planning in mitigating climate effects is closely tied to daily meteorological conditions. Therefore, smart adoption of climate-optimal trajectories, i.e., rerouting only under conditions where large climate benefits are achievable, effectively mitigates climate impact while maintaining operational feasibility through minimal changes to standard operations. …”
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