Rethinking Climate Change in the Cauvery Delta Through Long Term Historical Data

通过长期历史数据重新思考高韦里三角洲的气候变化

基本信息

  • 批准号:
    ES/T006196/1
  • 负责人:
  • 金额:
    $ 11.93万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Fellowship
  • 财政年份:
    2019
  • 资助国家:
    英国
  • 起止时间:
    2019 至 无数据
  • 项目状态:
    已结题

项目摘要

According to the 5th Intergovernmental Panel on Climate Change, 230 million people in South Asia are at risk fromClimate Change, the largest of any single region. Recent studies of the Cauvery delta, and more generally climatechange in India, begin largely with World Bank and Indian Space Research Organization (satellite) data from the1970s, showing the ways in which the climate is acutely changing since then. However, these studies are based onthirty years of data. This project uses historical data to comprehend the scale of space specific climate change, thethreats posed, effectively predict long-term trends and prepare adaptation strategies. (Mahony and Endfield 2018;Amrith 2016). Using long term historical data allows researchers to a) eliminate cyclical patterns not as effects ofimmediate climate change b) identify long term patterns of change (whether this is a sudden increase, decrease orgradual) c) identify how older regimes adapted to change in temperature or disasters.The project will curate a detailed dataset collected from reports that were published by the colonial provincialgovernment and continued into the postcolonial era. The first is the Seasonal and Crop report of the Madras presidency(1905-1954). This report contains district wise monthly statistics and qualitative information on rainfall compared tothe average rainfall for the district, the prevalent temperature, level of silt deposits, the crops grown in differentseasons and any shortfall or excess of rain. Data prior to 1905 is not systematic, but data has been gathered throughthree sources including the Meteorological Observations Recorded at Six Stations in India (1879-1894);Meteorological Observations made at the East India Company's Observatory at Madras (1841-1890); Rainfall ofIndia (1891-1950) and Cyclone Memoirs (1888-1893). The dataset will comprise of a searchable year-wise monthlyindex of rainfall, temperature, silt deposit, crops grown, in a systematic manner from 1905-1950, and in a lesssystematic manner from 1860-1905.I will work with GIS technicians at the French Institute of Pondicherry (IFP) to transfer the data on to maps of twokinds. First, three historical maps (from 1888, 1917 and 1945, all georeferenced) created will include still images ofthese years and contain multiple variables (colour coded), to visualize change clearly. Variables will be added ascolour coded graphics which users can then use to simultaneously picture rainfall, temperature and vegetationchanging over a close to a hundred years. Second, certain maps will picture years of floods or drought (for instance1872 and 1924), to show how extreme weather events have occurred historically (Knowles and Hillier 2008). Thedataset will allow researchers to ask the following questionsWhat are the patterns in temperature and rainfall from 1860-1950? Is there evidence of increasing heatwaves andfloods up until 1950? Is there any evidence of cyclical weather patterns? At which time period (under what weatherconditions) was agriculture relatively stable? Which regions have seen the greatest change in crop-type? Is this due toclimate conditions or other factors? (hybrid seeds, use of nitrogen based fertilizer etc.)Alongside the dataset, I will write the life histories of two farmers to tell a story around climate change, adaptationand economic precarity over the life-course of farmers in the Cauvery delta. The chosen farmers are Octogenarians,inhabiting different parts of the Cauvery delta. I will record their life stories from the perspective of changingclimate, how they have adapted and the challenges they have faced. The questions asked will pertain to temperaturerise or decline, water quality and availability, change in crops sown, changing levels of silt deposits, coastal erosionand how these have affected social relations, and findings curated accordingly (Adamson, Hannaford, and Rohland 2018; Singh 2019).
根据第五届政府间气候变化专门委员会的数据,南亚有2.3亿人面临气候变化的风险,是任何单一地区中最大的。最近对考韦里三角洲的研究,以及更普遍的印度气候变化的研究,开始主要是从世界银行和印度空间研究组织(卫星)20世纪70年代的数据开始的,显示了自那时以来气候急剧变化的方式。然而,这些研究是基于三十年的数据。该项目利用历史数据来了解空间特有气候变化的规模、所构成的威胁、有效预测长期趋势和制定适应战略。(Mahony and Endfield 2018; Amrith 2016)。使用长期的历史数据使研究人员能够a)消除周期性模式,而不是短期气候变化的影响B)识别长期的变化模式(这是否是突然增加,(c)确定旧政权如何适应温度或灾害的变化。该项目将整理从殖民地省政府发布的报告中收集的详细数据集,并持续到后殖民时期。时代第一份是马德拉斯总统任期(1905 - 1954年)的季节和作物报告。本报告载有各区每月的统计数字,以及与该区平均降雨量比较的降雨量、普遍气温、淤泥沉积水平、不同季节种植的农作物,以及降雨量不足或过多的定性资料。1905年之前的数据并不系统,但数据是通过三个来源收集的,包括在印度六个站记录的气象观测(1879 - 1894);在东印度公司的马德拉斯天文台进行的气象观测(1841 - 1890);印度的降雨量(1891 - 1950)和气旋回忆录(1888 - 1893)。该数据集将包括一个可搜索的逐年、逐月的降雨量、温度、淤泥存款、作物种植指数,以系统的方式从1905 - 1950年,以不太系统的方式从1860 - 1905年。我将与法国本地治里研究所(IFP)的GIS技术人员合作,将数据转移到两种地图上。首先,创建的三幅历史地图(分别来自1888年、1917年和1945年,均配有地理参考)将包括这些年份的静态图像,并包含多个变量(彩色编码),以清晰地显示变化。变量将被添加为彩色编码图形,用户可以使用这些图形同时描绘近百年来的降雨量、温度和植被变化。第二,某些地图将描绘洪水或干旱年份(例如1872年和1924年),以显示历史上极端天气事件是如何发生的(Knowles和Hillier 2008)。该数据集将允许研究人员提出以下问题:1860 - 1950年的温度和降雨模式是什么?有证据表明1950年之前热浪和洪水的增加吗?是否有任何证据表明周期性的天气模式?农业在哪个时期(在什么气候条件下)相对稳定?哪些地区的作物类型变化最大?这是由于气候条件或其他因素?(杂交种子、氮基肥料的使用等)除了数据集,我还将写两个农民的生活史,讲述一个关于气候变化、适应和经济不稳定的故事。被选中的农民是居住在Cauvery三角洲不同地区的马达加斯加人。我将从气候变化的角度记录他们的生活故事,他们是如何适应的,他们面临的挑战。提出的问题将涉及温度上升或下降,水质和可用性,作物播种的变化,淤泥沉积物的变化水平,海岸侵蚀以及这些如何影响社会关系,以及相应的研究结果(Adamson,汉纳福德和Rohland 2018; Singh 2019)。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
INDIAN RIVERS, 'PRODUCTIVE WORKS', AND THE EMERGENCE OF LARGE DAMS IN NINETEENTH-CENTURY MADRAS
印度河流、“生产性工程”以及 19 世纪马德拉斯大型水坝的出现
  • DOI:
    10.1017/s0018246x20000163
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    RAMESH A
  • 通讯作者:
    RAMESH A
Dam It: An Exploration of the Potential of Digital Humanities Methods in Studying Environmental Pasts and Presents in South India
Dam It:数字人文方法在印度南部环境过去和现在研究中的潜力探索
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Charlotte Evans
  • 通讯作者:
    Charlotte Evans
Bloomsbury Studies in Cultural and Social History: History of Technology (Volume v)
布鲁姆斯伯里文化和社会史研究:技术史(第五卷)
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ramesh, A
  • 通讯作者:
    Ramesh, A
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Aditya Ramesh其他文献

Prompting as Multimodal Fusing
提示为多模式融合
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Alexei Baevski;Yuhao Zhou;Abdelrahman Mohamed;T. Baltrušaitis;Amir Zadeh;Yao Chong Lim;Ankur Bapna;Yu;Nan Wu;Anmol Gulati;Tom Brown;Benjamin Mann;Nick Ryder;Jared D Subbiah;Prafulla Kaplan;A. Dhariwal;P. Neelakantan;Girish Shyam;Amanda Sastry;Sandhini Askell;Ariel Agarwal;Herbert;Gretchen Krueger;T. Henighan;R. Child;Aditya Ramesh;Daniel M. Ziegler;Jeffrey Wu;Christopher Winter;Mark Hesse;Eric Chen;Mateusz Sigler;Scott teusz Litwin;Benjamin Gray;Jack Chess;Christopher Clark;Sam Berner;Alec McCandlish;Ilya Radford;Sutskever Dario;Amodei;Santiago Castro;Devamanyu Hazarika;Verónica Pérez;Roger Rosas;Rada Zimmermann;Mihalcea Sou;J. Devlin;Ming;Kenton Lee;Zirui Wang;Jiahui Yu;Adams Wei Yu;Zihang Dai;Thomas Wolf;Lysandre Debut;Julien Victor Sanh;Clement Chaumond;Anthony Delangue;Pier;Tim ric Cistac;Rémi Rault;Morgan Louf;Funtowicz;Joe Davison;Sam Shleifer;Patrick von Platen;Yacine Jernite;J. Plu;Canwen Xu;Teven Le;Sylvain Scao;Mariama Gugger;Quentin Drame
  • 通讯作者:
    Quentin Drame
Improving Coherence of Language Model Generation with Latent Semantic State
提高语言模型生成与潜在语义状态的一致性
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amanda Askell;Yuntao Bai;Anna Chen;Dawn Drain;Deep Ganguli;T. Henighan;Andy Jones;Benjamin Mann;Nova Dassarma;Nelson El;Zac Hatfield;Danny Hernandez;John Kernion;Kamal Ndousse;Catherine Olsson;Dario Amodei;Tom Brown;J. Clark;Sam Mc;Chris Olah;Jared Kaplan;Nick Ryder;Jared D Subbiah;Prafulla Kaplan;A. Dhariwal;P. Neelakantan;Girish Shyam;Amanda Sastry;Sandhini Askell;Ariel Agarwal;Herbert;Gretchen Krueger;R. Child;Aditya Ramesh;Daniel M. Ziegler;Jeffrey Wu;Christopher Winter;Mark Hesse;Eric Chen;Mateusz Sigler;Scott teusz Litwin;Benjamin Gray;Jack Chess;Christopher Clark;Sam Berner;Alec McCandlish;Ilya Radford;Sutskever Dario;Amodei;Joshua Maynez;Shashi Narayan;Bernd Bohnet;Kurt Shuster;Spencer Poff;Moya Chen;Douwe Kiela;Shane Storks;Qiaozi Gao;Yichi Zhang;Joyce Chai;Niket Tandon;Keisuke Sakaguchi;Bhavana Dalvi;Dheeraj Rajagopal;Peter Clark;Michal Guerquin;Kyle Richardson;Eduard H. Hovy;A. Dataset;Rowan Zellers;Ari Holtzman;Matthew E. Peters;Roozbeh Mottaghi;Aniruddha Kembhavi;Ali Farhadi;Chunting Zhou;Graham Neubig;Jiatao Gu;Mona Diab;Francisco Guzmán;Luke Zettlemoyer
  • 通讯作者:
    Luke Zettlemoyer
Commonsense Frame Completion and its Probabilistic Evaluation
常识框架补全及其概率评估
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bahadir Ismail;Yavuz Selim Aydin;Yaliang Yilmaz;Li;L. Banarescu;C. Bonial;Madalina Shu Cai;Kira Georgescu;Ulf Griffitt;Kevin Hermjakob;Philipp Knight;Martha Koehn;Palmer Nathan;Chandra Bhagavatula;R. L. Bras;Chaitanya;Keisuke Malaviya;Ari Sakaguchi;Han;Doug nah Rashkin;Wen Downey;tau Yih Yejin;Michael Boratko;X. Li;T. O’Gorman;Rajarshi Das;Dan Le;Tom Brown;Benjamin Mann;Nick Ryder;Jared D Subbiah;Prafulla Kaplan;A. Dhariwal;P. Neelakantan;Girish Shyam;Amanda Sastry;Sandhini Askell;Ariel Agarwal;Herbert;Gretchen Krueger;T. Henighan;R. Child;Aditya Ramesh;Daniel M. Ziegler;Jeffrey Wu;Clemens Winter;Chris Hesse;Mark Chen;Eric Sigler;Mateusz Litwin;S. Gray;B. Chess;Christopher Clark;Sam Berner;Alec McCandlish;Ilya Radford;Sutskever Dario;Amodei;Clement Chaumond;Anthony Delangue;Pier;Tim Cistac;Rault;Morgan R’emi Louf;Funtowicz;Rowan Zellers;Yonatan Bisk;Roy Schwartz;Ari Holtzman;Zhonghua Zhao;Shanqing Guo;Qiuliang Xu
  • 通讯作者:
    Qiuliang Xu
Logical Fallacy Detection
逻辑谬误检测
  • DOI:
    10.18653/v1/2022.findings-emnlp.532
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Akbik;Tanja Bergmann;Duncan Blythe;Kashif;Stefan Rasul;Schweter Roland;Vollgraf;Tom B. Brown;Benjamin Mann;Nick Ryder;Jared D Subbiah;Prafulla Kaplan;A. Dhariwal;P. Neelakantan;Girish Shyam;Amanda Sastry;Sandhini Askell;Ariel Agarwal;Herbert;Gretchen Krueger;T. Henighan;R. Child;Aditya Ramesh;Daniel M. Ziegler;Jeffrey Wu;Clemens Winter;Chris Hesse;Mark Chen;Mateusz Sigler;Scott Litwin;Benjamin Gray;Chess;Alec Radford;I. Sutskever;Kevin Clark;Minh;Quoc V. Le;Giovanni Da;San Martino;Alberto Barrón;Simona C Kaplan;A. Morrison;Thomas M Goldin;Richard G Olino;Heimberg;Lev Konstantinovskiy;Oliver Price;Mevan Babakar;Zhenzhong Lan;Mingda Chen;Sebastian Goodman;Kevin Gimpel;Piyush Sharma;Radu Soricut;Yuhao Peng Qi;Yuhui Zhang;Jason Zhang;Bolton;D. Luan
  • 通讯作者:
    D. Luan
Improving Image Generation with Better Captions
通过更好的字幕改进图像生成
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    James Betker;Gabriel Goh;Li Jing;†. TimBrooks;Jianfeng Wang;Linjie Li;†. LongOuyang;†. JuntangZhuang;†. JoyceLee;†. YufeiGuo;†. WesamManassra;†. PrafullaDhariwal;†. CaseyChu;†. YunxinJiao;Aditya Ramesh
  • 通讯作者:
    Aditya Ramesh

Aditya Ramesh的其他文献

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{{ truncateString('Aditya Ramesh', 18)}}的其他基金

Cottonopolis: lessons for environmental science through the hidden histories of Manchester
棉花城:通过曼彻斯特隐藏的历史为环境科学提供教训
  • 批准号:
    AH/W009056/1
  • 财政年份:
    2022
  • 资助金额:
    $ 11.93万
  • 项目类别:
    Research Grant

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  • 批准号:
    2402605
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    2024
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    $ 11.93万
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    Standard Grant
NSF PRFB FY 2023: Considering evolutionary responses to temperature variability when predicting risk to climate change and disease in amphibians
NSF PRFB 2023 财年:在预测气候变化和两栖动物疾病风险时考虑对温度变化的进化反应
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Identifying potential trade-offs of adapting to climate change
确定适应气候变化的潜在权衡
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    DP240100230
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    2024
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Advancing Child and Youth-led Climate Change Education with Country
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Quantifying climate change impacts for wetlands in agricultural landscapes
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Multiscale Approaches And Scalability Within Climate Change-heritage Risk Assessments
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Hybrid AI and multiscale physical modelling for optimal urban decarbonisation combating climate change
混合人工智能和多尺度物理建模,实现应对气候变化的最佳城市脱碳
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