scholarly journals Impact of Climate Change Using Trend Analysis of Rainfall, RRL AWBM Toolkit, Synthetic and Arbitrary Scenarios

Author(s):  
Ayushi Trivedi ◽  
S. K. Pyasi ◽  
R. V. Galkate

The integrated approach for assessment of the impact of climate change is important, as climate impacts are likely to transcend sectoral or regional boundaries, with impacts of change in hydrological and geological behaviour of one sector affecting the behaviour of another or simultaneously any other sector, or region, to respond. Modelling is often used by hydrologists in the analysis of empirical data to gain insights into the underlying dynamics of simulated runoff and its trend changing pattern. Thus, these models extrapolate from a climate-related (usually temperature-related) relationship derived by observations and experiment. The climate changes have adverse and drastic impacts on climate-sensitive sectors such as water resources, agriculture and ultimately livelihood and economy of the people. Thus consequently increase or decrease in temperature, rainfall and other climatic parameters due to climate change affect the river discharge, flood, reservoir storages, groundwater levels, soil moisture, evapotranspiration, crop production, sea levels etc. Keeping this insight patches of major changes from the whole study area were selected to assess the intensity of rainfall, discharge and the incremental impact of rainfall. The temporal analysis in selected patches revealed that increment and decrement in the study area simultaneously affect the runoff by the same proportion. The trend generated through the Mann-Kendall test not only helped in assessing the impact of climate change but also identified its causative actors. The results of the study can effectively be utilized for setting priorities of hydrological behaviour in different geographical regions at various scales.

2021 ◽  
Vol 4 (2) ◽  
pp. 159-169
Author(s):  
Eko Sumartono ◽  
Gita Mulyasari ◽  
Ketut Sukiyono

Bengkulu is said to be the center of the world's climate because of the influence of water conditions and the topography of the area where the rain cloud formation starts. The waters in Bengkulu Province become a meeting place for four ocean currents which eventually become an area where the evaporation process of forming rain clouds becomes the rainy or dry season and affects the world climate. Method to analyze descriptively, shows oldeman Classification and satellite rainfall estimation data is added. In relation to the Analysis of Potential Food Availability for the Coastal Areas of Bengkulu Province uses a quantifiable descriptive analysis method based. The results show that most are included in the Oldeman A1 climate zone, which means it is suitable for continuous rice but less production due to generally low radiation intensity throughout the year. In an effort to reduce or eliminate the impact of climate change on food crop production, it is necessary to suggest crop diversification, crop rotation, and the application of production enhancement technologies. Strategies in building food availability as a result of climate change are: First, develop food supplies originating from regional production and food reserves on a provincial scale. Second, Empowering small-scale food businesses which are the dominant characteristics of the agricultural economy, especially lowland rice and horticultural crops. Third, Increase technology dissemination and increase the capacity of farmers in adopting appropriate technology to increase crop productivity and business efficiency. Four, Promote the reduction of food loss through the use of food handling, processing and distribution technologies. 


Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 730
Author(s):  
Waqas Ul Hussan ◽  
Muhammad Khurram Shahzad ◽  
Frank Seidel ◽  
Anna Costa ◽  
Franz Nestmann

Extensive research of the variability of flows under the impact of climate change has been conducted for the Upper Indus Basin (UIB). However, limited literature is available on the spatial distribution and trends of suspended sediment concentrations (SSC) in the sub-basins of UIB. This study covers the comparative assessment of flows and SSC trends measured at 13 stations in the UIB along with the variability of precipitation and temperatures possibly due to climate change for the past three decades. In the course of this period, the country’s largest reservoir, Tarbela, on the Indus River was depleted rapidly due to heavy sediment influx from the UIB. Sediment management of existing storage and future planned hydraulic structures (to tap 30,000 MW in the region) depends on the correct assessment of SSC, their variation patterns, and trends. In this study, the SSC trends are determined along with trends of discharges, precipitation, and temperatures using the non-parametric Mann–Kendall test and Sen’s slope estimator. The results reveal that the annual flows and SSC are in a balanced state for the Indus River at Besham Qila, whereas the SSC are significantly reduced ranging from 18.56%–28.20% per decade in the rivers of Gilgit at Alam Bridge, Indus at Kachura, and Brandu at Daggar. The SSC significantly increase ranging from 20.08%–40.72% per decade in the winter together with a significant increase of average air temperature. During summers, the SSC are decreased significantly ranging from 18.63%–27.79% per decade along with flows in the Hindukush and Western–Karakorum regions, which is partly due to the Karakorum climate anomaly, and in rainfall-dominated basins due to rainfall reduction. In Himalayan regions, the SSC are generally increased slightly during summers. These findings will be helpful for understanding the sediment trends associated with flow, precipitation, and temperature variations, and may be used for the operational management of current reservoirs and the design of several hydroelectric power plants that are planned for construction in the UIB.


2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Joash Bwambale ◽  
Khaldoon A. Mourad

AbstractAgriculture is the backbone of Uganda’s economy, with about 24.9% contribution to the gross domestic product (GDP) as per the Uganda National Household Survey 2016/17. Agricultural productivity (yield per hectare) is still low due to the high dependence on rain-fed subsistence farming. Climate change is expected to further reduce the yield per hectare. Therefore, this study aims to evaluate the potential impact of climate change on maize yield in the Victoria Nile Sub-basin using the AquaCrop model. It further assesses the possible adaptation measures to climate change. The Hadley Centre Global Environmental Model version 2–Earth System (HadGEM2-ES) data downloaded from the Coordinated Regional Downscaling Experiment (CORDEX) was used to simulate maize yield in the near future (2021–2040), mid future (2041–2070) and late future (2071–2099). Results show that maize yield is likely to reduce by as high as 1–10%, 2–42% and 1–39% in the near, mid and late futures, respectively, depending on the agro-ecological zone. This decline in maize yield can have a significant impact on regional food security as well as socio-economic well-being since maize is a staple crop. The study also shows that improving soil fertility has no significant impact on maize yield under climate change. However, a combined application of supplementary irrigation and shifting the planting dates is a promising strategy to maintain food security and socio-economic development. This study presents important findings and adaptation strategies that policymakers and other stakeholders such as farmers can implement to abate the effects of climate change on crop production.


Author(s):  
V. Guhan ◽  
V. Geethalakshmi ◽  
R. Jagannathan ◽  
S. Panneerselvam ◽  
K. Bhuvaneswari

<p><strong>Abstract.</strong> Climate change induced extreme weather events such as drought and flood condition are likely to become more common and associated impacts on crop production will be more without proper irrigation planning. The present investigation was undertaken for assessing the impact of Climate change on tomato yield and water use efficiency (WUE) using AquaCrop model and RegCM 4.4 simulations. The water driven AquaCrop model was validated based on observation of field experiment conducted with four different dates of sowing (1st November, 15th November, 1st December, 15th December) at Ponnaniyar basin, Tiruchirappalli. Validation of AquaCrop model indicated the capability of AquaCrop in predicting tomato yield, biomass and WUE close to the observed data. Seasonal maximum and minimum temperatures over Tiruchirappalli are projected to increase in the mid-century under both RCP4.5 and RCP8.5 scenarios. Maximum temperature is expected to increase up to 1.7&amp;thinsp;&amp;deg;C/2.5&amp;thinsp;&amp;deg;C in SWM and 1.9&amp;thinsp;&amp;deg;C/2.9&amp;thinsp;&amp;deg;C in NEM by the mid of century as projected through stabilization (RCP 4.5) and overshoot emission (RCP 8.5) pathways. Minimum temperature is expected to increase up to 1.6&amp;thinsp;&amp;deg;C/2.2&amp;thinsp;&amp;deg;C in SWM and 1.6&amp;thinsp;&amp;deg;C/2.1&amp;thinsp;&amp;deg;C in NEM by the mid of century as projected through stabilization (RCP 4.5) and overshoot emission (RCP 8.5) pathways. Seasonal rainfall over Tiruchirappalli is expected to decrease with RCP4.5 and RCP8.5scenarios with different magnitude. Rainfall is expected to change to the tune of &amp;minus;1/&amp;minus;11 per cent in SWM and &amp;minus;2/&amp;minus;14 per cent in NEM by the mid of century as projected through stabilization (RCP 4.5) and overshoot emission (RCP 8.5) pathways.</p>


2012 ◽  
Vol 16 (5) ◽  
pp. 1517-1531 ◽  
Author(s):  
J. Dams ◽  
E. Salvadore ◽  
T. Van Daele ◽  
V. Ntegeka ◽  
P. Willems ◽  
...  

Abstract. Given the importance of groundwater for food production and drinking water supply, but also for the survival of groundwater dependent terrestrial ecosystems (GWDTEs) it is essential to assess the impact of climate change on this freshwater resource. In this paper we study with high temporal and spatial resolution the impact of 28 climate change scenarios on the groundwater system of a lowland catchment in Belgium. Our results show for the scenario period 2070–2101 compared with the reference period 1960–1991, a change in annual groundwater recharge between −20% and +7%. On average annual groundwater recharge decreases 7%. In most scenarios the recharge increases during winter but decreases during summer. The altered recharge patterns cause the groundwater level to decrease significantly from September to January. On average the groundwater level decreases about 7 cm with a standard deviation between the scenarios of 5 cm. Groundwater levels in interfluves and upstream areas are more sensitive to climate change than groundwater levels in the river valley. Groundwater discharge to GWDTEs is expected to decrease during late summer and autumn as much as 10%, though the discharge remains at reference-period level during winter and early spring. As GWDTEs are strongly influenced by temporal dynamics of the groundwater system, close monitoring of groundwater and implementation of adaptive management measures are required to prevent ecological loss.


2019 ◽  
Vol 10 (04) ◽  
pp. 1950015
Author(s):  
BORIS O. K. LOKONON ◽  
AKLESSO Y. G. EGBENDEWE ◽  
NAGA COULIBALY ◽  
CALVIN ATEWAMBA

This paper investigates the impact of climate change on agriculture in the Economic Community of West African States (ECOWAS). To that end, a bio-economic model is built and calibrated on 2004 base year dataset and the potential impact is evaluated on land use and crop production under two representative concentration pathways coupled with three socio-economic scenarios. The findings suggest that land use change may depend on crop types and prevailing future conditions. As of crop production, the results show that paddy rice, oilseeds, sugarcane, cocoa, coffee, and sesame production could experience a decline under both moderate and harsh climate conditions in most cases. Also, doubling crop yields by 2050 could overall mitigate the negative impact of moderate climate change. The magnitude and the direction of the impacts may vary in space and time.


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