Short-term rainfall forecasts as a soft adaptation to climate change in irrigation management in North-East India

2013 ◽  
Vol 127 ◽  
pp. 97-106 ◽  
Author(s):  
Ashok Mishra ◽  
Christian Siderius ◽  
Kenny Aberson ◽  
Martine van der Ploeg ◽  
Jochen Froebrich
Keyword(s):  
Climate Change ◽  
Irrigation Management ◽  
Adaptation To Climate Change ◽  
Short Term ◽  
North East India ◽  
North East

Inconspicuous adaptations to climate change in everyday life: Sustainable household responses to drought and heat in Czech cities

2021 ◽  
pp. 146954052110139
Author(s):  
Slavomíra Ferenčuhová
Keyword(s):  
Climate Change ◽  
Expert Knowledge ◽  
Negative Consequences ◽  
Adaptation To Climate Change ◽  
Short Term ◽  
The Czech Republic ◽  
Household Level ◽  
Coping Responses ◽  
Household Responses ◽  
Societal Adaptation

Adaptation to climate change is often understood as a top-down decision-making and policy-implementing process, as well as application of expert knowledge, to prevent or reduce its (locally specific) negative consequences. In high-income societies, adaptation at the household level then frequently refers to adopting technological fixes distributed through the market, sometimes at a considerable cost. Informed by a study in the context of Central Europe, this article aims to discuss different practices of households and individuals that do not require increased consumption of energy or materials, but still help adapting to climate change in some of its local expressions, such as heatwaves and drought. They were described by participants in focus groups in six cities in the Czech Republic. I argue that such ‘inconspicuous adaptations’ emerge without connection to the climate change debate, or without deeper knowledge about the issue. Yet, they should not be overlooked as unimportant and short-term ‘coping responses’ and underestimated in this debate. They are part and parcel of the ongoing process of societal adaptation to climate change.

scholarly journals Estimation of Runoff under changed climatic scenario of a Meso Scale River by Neural Network Based Gridded Model Approach

2021 ◽  
Author(s):  
Debajit Das ◽  
Tilottama Chakraborty ◽  
Mrinmoy Majumder ◽  
Tarun Kanti Bandyopadhyay
Keyword(s):  
Climate Change ◽  
River Basin ◽  
General Circulation ◽  
General Circulation Models ◽  
Group Method ◽  
North East India ◽  
North East ◽  
Hadley Centre ◽  
Gomati River ◽  
The Impact

Abstract As climate change is linked with changes in precipitation, evapotranspiration and changes in other climatological parameters, these changes will be affected runoff of a river basin. Gomati River basin is the largest river basin among all the river basin of Tripura. Due to the increase in settlement in the Gomati river basin and climate change may threaten natural flow patterns that endure its diversity. This study assesses the impact of climate change on total flow of a catchment in North East India (Gomati River catchment). For this assessment, the Group Method of Data Handling Modeling System (GMDH) model was used to simulate the rainfall-runoff relationship of the catchment, with respect to the observed data during the period of 2008–2009. The statistically downscaled outputs of HadGEM2-ES (Hadley Centre Global Environment Model version 2), general circulation models (GCMs) scenario was used to assess the impacts of climate change on the Gomati River Basin. Future projections were developed for the 2030s, 2040s and 2050s projections, respectively. The results from the present study can contribute to the development of adaptive strategies and future policies for the sustainable management of water resources in North East, Tripura.

Climate change trends in some of the rubber growing regions of North-East India

2015 ◽  
Vol 43 (3) ◽  
Author(s):  
Shammi Raj
Keyword(s):  
Climate Change ◽  
Relative Humidity ◽  
Change Analysis ◽  
North East India ◽  
Climate Change Effects ◽  
North East ◽  
Sunshine Hours ◽  
Decadal Variations ◽  
Future Policy ◽  
Limited Moisture

<div><table cellspacing="0" cellpadding="0" align="center"><tbody><tr><td align="left" valign="top"><p>Climate change   analysis has been conducted using daily surface meteorological datasets in   respect of nine parameters from five rubber growing locations in the East and   North-East India. Monthly, seasonal and annual variability in meteorological   parameters showed decreasing trends in relative humidity, sunshine hours and   pan evaporation rates coupled with increasing temperature extremes. Rise in   mean temperature was seen to be highest (0.34 0C per decade) for Dhenkanal   which experiences dry sub-humid type of climate. The data on relative humidity   and temperature also revealed the fact that warm surface temperatures, along   with limited moisture availability, may lead to lower relative humidity in   the future, since all the stations are away from the moist coastal belts.   Decreasing trends in sunshine hours were mainly observed during winter and   post monsoon seasons with decreasing number of days even with the optimum   required daily sunshine hours. The fact that there were no significant   changes in the amount of rainfall or the number of rainy days was in   conformity with several earlier reports in the northeast. Mean monthly   decadal variations have also been tested with earlier and recent sets. With   long term trends in most of the weather parameters, being lesser when   compared to that of the traditional rubber growing regions in India, it is   imperative that for rubber cultivation to thrive in this non-traditional   belt, future policy inputs will have to be based depending on the magnitude   of climate change effects.</p></td></tr></tbody></table></div>

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