Integrated effects of rainfall regime and canopy structure on interception loss: A comparative modelling analysis for an artificial larch forest

Ecohydrology ◽  
2021 ◽  
Author(s):  
Lihui Tu ◽  
Wei Xiong ◽  
Yanhui Wang ◽  
Pengtao Yu ◽  
Zebin Liu ◽  
...  
Keyword(s):  
Canopy Structure ◽  
Larch Forest ◽  
Rainfall Regime ◽  
Comparative Modelling ◽  
Modelling Analysis ◽  
Interception Loss

Comparative modelling analysis of boron dynamic adsorption on fibrous adsorbent prepared using radiation grafting versus granular resin

2021 ◽  
Vol 9 (3) ◽  
pp. 105208
Author(s):  
Teo Ming Ting ◽  
Mohamed Mahmoud Nasef ◽  
Deepalakshmi Aravindan ◽  
Mohd Azhar Ahmad ◽  
Mukhlis Mokhtar ◽  
...  
Keyword(s):  
Dynamic Adsorption ◽  
Radiation Grafting ◽  
Comparative Modelling ◽  
Modelling Analysis

scholarly journals Validation of the Modes of Transmission Model as a Tool to Prioritize HIV Prevention Targets: A Comparative Modelling Analysis

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e101690 ◽  
Author(s):  
Sharmistha Mishra ◽  
Michael Pickles ◽  
James F. Blanchard ◽  
Stephen Moses ◽  
Zara Shubber ◽  
...  
Keyword(s):  
Hiv Prevention ◽  
Transmission Model ◽  
Modes Of Transmission ◽  
Comparative Modelling ◽  
Modelling Analysis

scholarly journals Projections of human papillomavirus (HPV) vaccination impact in Ethiopia, India, Nigeria, and Pakistan: a comparative modelling study

2021 ◽  
Author(s):  
Allison Portnoy ◽  
Kaja Abbas ◽  
Steven Sweet ◽  
Jane Kim ◽  
Mark Jit
Keyword(s):  
Cervical Cancer ◽  
Human Papillomavirus ◽  
Hpv Vaccination ◽  
Health Impact ◽  
World Health ◽  
Potential Health ◽  
Study Objective ◽  
Comparative Modelling ◽  
Modelling Analysis ◽  
Vaccine Impact

Background: Cervical cancer is the second most common cancer among women in Ethiopia, India, Nigeria, and Pakistan. However, of these four countries, only Ethiopia has introduced human papillomavirus (HPV) vaccination at the national level in 2018 and India in a few states in 2016. Our study objective was to estimate the potential health impact of HPV vaccination among ten cohorts of 9-year-old girls from 2021-2030 in Ethiopia, India, Nigeria, and Pakistan using two independent mathematical models, and assess similarities and differences in vaccine impact projections through comparative modelling analysis. Methods: Using two widely published models (Harvard and PRIME) to estimate HPV vaccination impact, we simulated a vaccination scenario of 90% annual coverage among 9-year-old girls from 2021-2030 in Ethiopia, India, Nigeria, and Pakistan. We estimated the potential health impact in terms of cervical cancer cases, deaths, and disability-adjusted life years (DALYs) averted among vaccinated cohorts from the time of vaccination until 2100. We also conducted a comparative modelling analysis to understand the differences in vaccine impact estimates generated by the two models. Results: Prior to harmonising model assumptions, the range between the PRIME model and the Harvard model for the potential health impact of HPV vaccination in terms of the number of cervical cancer cases averted among girls vaccinated 2021-2030 between the year of vaccination and 2100 was: 262,000 to 270,000 in Ethiopia; 1,640,000 to 1,970,000 in India; 330,000 to 336,000 in Nigeria; and 111,000 to 133,000 in Pakistan. When harmonising model assumptions, alignment on HPV type distribution significantly narrowed the differences in vaccine impact estimates. Conclusions: The main difference in estimates for cases, deaths, and DALYs averted by vaccination between the models are due to variation in interpretation around data on cervical cancer attribution to HPV-16/18; differences in estimates for DALYs averted are additionally due to differences in age-specific remaining life expectancy over time between the two models. As countries make progress towards the World Health Organization targets for cervical cancer elimination, continued explorations of underlying differences in model inputs, assumptions, and results when examining cervical cancer prevention policy will be critical.

The importance of canopy structure in controlling the interception loss of rainfall: Examples from a young and an old-growth Douglas-fir forest

2005 ◽  
Vol 130 (1-2) ◽  
pp. 113-129 ◽  
Author(s):  
Thomas G. Pypker ◽  
Barbara J. Bond ◽  
Timothy E. Link ◽  
Danny Marks ◽  
Michael H. Unsworth
Keyword(s):  
Canopy Structure ◽  
Douglas Fir ◽  
Old Growth ◽  
Interception Loss

Higher Death Rates in the Italian COVID-19 Outbreak: A Comparative Modelling Analysis of 8,342 Italy and 44,672 China Cases

2020 ◽  
Author(s):  
Simone Lanini ◽  
Francesco Vairo ◽  
Vincenzo Puro ◽  
Paola Scognamiglio ◽  
Franco Locatelli ◽  
...  
Keyword(s):  
Death Rates ◽  
Comparative Modelling ◽  
Modelling Analysis

scholarly journals Estimation and testing of linkages between forest structure and rainfall interception characteristics of a Robinia pseudoacacia plantation on China’s Loess Plateau

2021 ◽  
Author(s):  
Changkun Ma ◽  
Yi Luo ◽  
Mingan Shao ◽  
Xiaoxu Jia
Keyword(s):  
Loess Plateau ◽  
Regression Models ◽  
Storage Capacity ◽  
Robinia Pseudoacacia ◽  
Canopy Structure ◽  
Canopy Cover ◽  
Growing Season ◽  
Rainfall Interception ◽  
Area Index ◽  
Interception Loss

AbstractUnderstanding the interaction between canopy structure and the parameters of interception loss is essential in predicting the variations in partitioning rainfall and water resources as affected by changes in canopy structure and in implementing water-based management in semiarid forest plantations. In this study, seasonal variations in rainfall interception loss and canopy storage capacity as driven by canopy structure were predicted and the linkages were tested using seasonal filed measurements. The study was conducted in nine 50 m × 50 m Robinia pseudoacacia plots in the semiarid region of China’s Loess Plateau. Gross rainfall, throughfall and stemflow were measured in seasons with and without leaves in 2015 and 2016. Results show that measured average interception loss for the nine plots were 17.9% and 9.4% of gross rainfall during periods with leaves (the growing season) and without leaves, respectively. Average canopy storage capacity estimated using an indirect method was 1.3 mm in the growing season and 0.2 mm in the leafless season. Correlations of relative interception loss and canopy storage capacity to canopy variables were highest for leaf/wood area index (LAI/WAI) and canopy cover, followed by bark area, basal area, tree height and stand density. Combined canopy cover, leaf/wood area index and bark area multiple regression models of interception loss and canopy storage capacity were established for the growing season and in the leafless season in 2015. It explained 97% and 96% of the variations in relative interception loss during seasons with and without leaves, respectively. It also explained 98% and 99% of the variations in canopy storage capacity during seasons with and without leaves, respectively. The empirical regression models were validated using field data collected in 2016. The models satisfactorily predicted relative interception loss and canopy storage capacity during seasons with and without leaves. This study provides greater understanding about the effects of changes in tree canopy structure (e.g., dieback or mortality) on hydrological processes.

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