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Climate Change, Tropical Cyclone Trends and the Impact on Human Health

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Climate Change".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 2231

Special Issue Editors


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Guest Editor
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Interests: tropical cyclone; climate change; tropical air–sea interaction

E-Mail Website
Guest Editor
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Interests: tropical convection; Madden-Julian oscillation; numerical simulation; tropical cyclone

Special Issue Information

Dear Colleagues,

Global warming is changing our lives and society through weather and climate. Tropical cyclones (TCs), a major disastrous weather event, hit global coasts and seriously threaten public security every year. During the past few decades, TC activities have experienced significant long-term changes in several aspects. For instance, TCs have encountered a poleward migration of latitude of lifetime maximum intensity; global TC intensity has increased; TC translation speed has significantly slowed down, TC-related precipitation has become heavier, etc. These changes increase the threats to coastal areas and populations. It is reported that global warming is the main culprit behind these changes. Global warming also leads to more extreme events such as heat wave, extreme precipitation events, etc. Thus, the detection and quantification of the influence of global warming on the long-term trends of TC activity, extreme precipitation, heat wave, etc. has become incredibly important. On the other hand, how these extreme events influence human activity, the public environment, and health are vital issues to both government and public. These scientific questions are the main focus of this Special Issue. Papers addressing (but not limited to) these topics are invited for this Special Issue, especially those revealing the underlying mechanisms for the known weather and climate (especially TC) trends induced by global warming over the past few decades.

Dr. Yipeng Guo
Dr. Yan Liu
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tropical cyclone
  • climate change
  • global warming
  • internal variability
  • natural forcing
  • external forcing
  • trend
  • decadal variability

Published Papers (1 paper)

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Research

20 pages, 3844 KiB  
Article
Climate Change Impacts Assessment Using Crop Simulation Model Intercomparison Approach in Northern Indo-Gangetic Basin of Bangladesh
by Md Rafique Ahasan Chawdhery, Murtuza Al-Mueed, Md Abdul Wazed, Shah-Al Emran, Md Abeed Hossain Chowdhury and Sk Ghulam Hussain
Int. J. Environ. Res. Public Health 2022, 19(23), 15829; https://doi.org/10.3390/ijerph192315829 - 28 Nov 2022
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Abstract
The climate change impacts of South Asia (SA) are inextricably linked with increased monsoon variability and a clearly deteriorating trend with more frequent deficit monsoons. One of the most climate-vulnerable nations in the eastern and central Indo-Gangetic Basin is Bangladesh. There have been [...] Read more.
The climate change impacts of South Asia (SA) are inextricably linked with increased monsoon variability and a clearly deteriorating trend with more frequent deficit monsoons. One of the most climate-vulnerable nations in the eastern and central Indo-Gangetic Basin is Bangladesh. There have been numerous studies on the effects of climate change in Bangladesh; however, most of them tended to just look at a small fraction of the impact elements or were climatic projections without accounting for the effects on agriculture. Additionally, simulation studies using the CERES-Rice and CERES-Wheat models were conducted for rice and wheat to evaluate the effects of climate change on Bangladeshi agriculture. However, up to now, Bangladesh has not implemented farming system ideas by integrating cropping systems with other income-generating activities. This study was conducted as part of the Indo-Gangetic Basin (IGB) regional evaluations using the protocols and integrated assessment processes of the Agricultural Model Intercomparison and Improvement Project (AgMIP). It was also done to calibrate crop models (APSIM and DSSAT) using rice and wheat. To assist policymakers in creating national and regional plans for anticipated future agricultural systems, our work on the integrated evaluation of climate change impacts on agricultural systems produced realistic predictions. The outcome of this research prescribes a holistic assessment of climate change on future production systems by including all the relevant enterprises in the agriculture sector. The findings of the study suggested two major strategies to minimize the yield and increase the profitability in a rice–wheat cropping system. Using a short-term HYV (High Yielding Variety) of rice can shift the sowing time of wheat by 7 days in advance compared to the traditional sowing days of mid-November. In addition, increasing the irrigation amount by 50 mm for wheat showed a better yield by 1.5–32.2% in different scenarios. These climate change adaptation measures could increase the per capita income by as high as 3.6% on the farm level. Full article
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