Modeling Earth Systems and Environment最新文献_第7页

Comparison of the performance of multiple imputation models in filling gaps in hourly and daily meteorological series from two locations in the state of São Paulo-Brazil 巴西<s:1>圣保罗州两个地点逐时和逐日气象序列填空的多个估算模式的性能比较

Modeling Earth Systems and Environment Pub Date : 2023-09-30 DOI: 10.1007/s40808-023-01863-7

Luana Possari Maziero, Sérgio Augusto Rodrigues, Alexandre Dal Pai, Camila Pires Cremasco, Luís Roberto Almeida Gabriel Filho

引用次数: 0

An evaluation of WRF urban canopy models over Bengaluru, India 印度班加罗尔WRF城市冠层模型的评价

Modeling Earth Systems and Environment Pub Date : 2023-09-29 DOI: 10.1007/s40808-023-01858-4

Heather S. Sussman, Aiguo Dai, Ajay Raghavendra, Liming Zhou

引用次数: 0

Allometric model based estimation of biomass and carbon stock for individual and overlapping trees using terrestrial LiDAR 基于异速生长模型的单株和重叠树木生物量和碳储量估算

Modeling Earth Systems and Environment Pub Date : 2023-09-28 DOI: 10.1007/s40808-023-01864-6

Sangeetha Gaikadi, Vasantha Kumar Selvaraj

引用次数: 0

Global analysis of a fractional-order viral model with lytic and non-lytic adaptive immunity 具有裂解性和非裂解性适应性免疫的分数阶病毒模型的全局分析

Modeling Earth Systems and Environment Pub Date : 2023-09-28 DOI: 10.1007/s40808-023-01866-4

Mouhcine Naim, Zakaria Yaagoub, Anwar Zeb, Marya Sadki, Karam Allali

引用次数: 0

Assessment of coastal water characteristics near brine discharge sites by applying multivariate statistical techniques and GIS, case study from BouIsmail Bay, Algeria 应用多元统计技术和地理信息系统评估盐水排放点附近的沿海水特征，以阿尔及利亚BouIsmail湾为例

Modeling Earth Systems and Environment Pub Date : 2023-09-27 DOI: 10.1007/s40808-023-01871-7

Amina Amel Adem, Fouzia Houma Bachari, Boualem Hamdi, Yasmine Belkacem, Nour El Islam Bachari

引用次数: 0

Modelling change detection for unveiling urban transitions: using machine learning algorithms and Sentinel-2 data in Larache City, Morocco 建模变化检测揭示城市转型:使用机器学习算法和Sentinel-2数据在摩洛哥Larache市

Modeling Earth Systems and Environment Pub Date : 2023-09-27 DOI: 10.1007/s40808-023-01860-w

Tarik Chafiq, Mohamed Hmamou, Imrane Ouhammou, Rida Azmi, Manoj Kumar

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Evaluation of CMIP6 model skills in simulating tropical climate extremes over Malawi, Southern Africa CMIP6模式模拟非洲南部马拉维热带极端气候的技能评估

Modeling Earth Systems and Environment Pub Date : 2023-09-26 DOI: 10.1007/s40808-023-01867-3

Bernard Mmame, Cosmo Ngongondo

{"title":"Evaluation of CMIP6 model skills in simulating tropical climate extremes over Malawi, Southern Africa","authors":"Bernard Mmame, Cosmo Ngongondo","doi":"10.1007/s40808-023-01867-3","DOIUrl":"https://doi.org/10.1007/s40808-023-01867-3","url":null,"abstract":"Abstract Malawi, a developing country in southeast Africa, is one of the most vulnerable countries to climate change and associated impacts. Availability of observed data to inform our knowledge on climate change is however, a key challenge and has led to relatively little research in the subject. Alternative climate data products, such as the Global Climate Models (GCMs) phase6 of Coupled Model Intercomparison Project (CMIP6), accords the chance to bridge this knowledge gap. These products however, need some validation against observed data to ascertain their level of performance. This study therefore, evaluates the ability of nineteen CMIP6 models in simulating both annual and seasonal temperature and precipitation over Malawi from 1980 to 2014. Observed Model performance metrics such as bias, root mean square error (RMSE), spatial correlation coefficient, standard deviation and Percentage Bias (PBIAS) were employed to assess the ability of the individual models. Our quantitative analysis shows that most of the models could simulate both temperature and precipitation over the study area, with correlation coefficient values of over 0.70, RMSE values between 0.9 and 2.0 and PBIAS of $$le$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mo>≤</mml:mo> </mml:math> 10%. The results are suggesting better performance of CMIP6 than those reported in previous studies over the study domain using CMIP3 and CMIP5 model datasets. Of all the nineteen models evaluated in this study, no single model performed best compared to observed dataset, because the models are varying in performance from season to season. Hence, climate end users are advised to use simulations of temperature and precipitation over the study area from CMIP6 models with care for decision making on the mitigation and adaptation of climate change.","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134885228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimization of conditioning factors for groundwater potential zonation using GIS-based single parameter and map removal sensitivity analysis in Alipurduar district of West Bengal, India 基于gis的印度西孟加拉邦Alipurduar地区地下水潜力分区调节因素单参数优化及地图去除敏感性分析

Modeling Earth Systems and Environment Pub Date : 2023-09-25 DOI: 10.1007/s40808-023-01859-3

Chhanu Sutradhar, Debapriya Poddar, Jayanta Das

引用次数: 0

Dynamics and control of mpox disease using two modelling approaches 使用两种建模方法的m痘病动力学和控制

Modeling Earth Systems and Environment Pub Date : 2023-09-21 DOI: 10.1007/s40808-023-01862-8

Obiora Cornelius Collins, Kevin Jan Duffy

{"title":"Dynamics and control of mpox disease using two modelling approaches","authors":"Obiora Cornelius Collins, Kevin Jan Duffy","doi":"10.1007/s40808-023-01862-8","DOIUrl":"https://doi.org/10.1007/s40808-023-01862-8","url":null,"abstract":"Abstract Monkeypox (Mpox) is a serious illness that affects both humans and animals. Two modelling approaches are considered here to understand the transmission dynamics of mpox. A deterministic model that incorporates the major factors that influence mpox is developed and analysed. However, as more than one group can be infected by mpox, humans and animals, the results of a deterministic model do not always hold when at the outset the number of people infected is small. Thus, a stochastic model based on the assumptions of the deterministic model is also developed and analysed. By fitting the deterministic model to data on the 2022 mpox outbreak in Nigeria, essential parameters related to the mpox dynamics are estimated. Using these parameters the basic reproduction number is calculated as $$mathcal {R}_0 = 1.7$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:msub> <mml:mi>R</mml:mi> <mml:mn>0</mml:mn> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>1.7</mml:mn> </mml:mrow> </mml:math> and, as this is greater than unity, implies that without control mpox is likely to remain endemic in Nigeria. Consideration of the basic reproduction number for the different transmission routes and parameter sensitivity analyses indicate the importance of animals in the overall prevalence of the disease. Also, numerical simulations are used and show that controls of disease transmission from animals to humans and animals to animals are the most effective. The results of the stochastic model, where the initial number of infections is small, show that the disease can be eradicated in some situations where $$mathcal {R}_0 > 1$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:msub> <mml:mi>R</mml:mi> <mml:mn>0</mml:mn> </mml:msub> <mml:mo>></mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:math> . However, the probabilities of this occurring for the Nigerian epidemic are low. Overall, our model formulations could be useful for making decisions on the effective management of mpox outbreaks in any endemic area.","PeriodicalId":51444,"journal":{"name":"Modeling Earth Systems and Environment","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of floating vegetation island on velocity distribution in open channel flow 漂浮植被岛对明渠水流流速分布的影响

Modeling Earth Systems and Environment Pub Date : 2023-09-19 DOI: 10.1007/s40808-023-01861-9

Naveed Anjum, Sohail Iqbal, Norio Tanaka

引用次数: 0