Streamflow Response to Climate Change in the Brahmani River Basin, India

Islam, Adlul; Sikka, A. K.; Saha, Bidyut Baran; Singh, Anamika

doi:10.1007/s11269-011-9965-0

Cited by 54 publications

(18 citation statements)

References 28 publications

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“…This approach is also followed by Xu () and Islam et al . (). For each run of the calibrated model, the same set of parameter values, which were previously calibrated and adjusted to the basin, was used.…”

Section: Methodsmentioning

confidence: 99%

“…The hydrological cycle, a fundamental component of climate, is likely to be altered in important ways due to climate change (Arora et al, 2008). Despite a great advancement with Global Circulation Model (GCM) predictions over the past decade, large uncertainties exist in future climate change for any particular regions or basins, as different GCMs provide different estimates of changes in precipitation and temperature (Islam et al, 2012). Although GCM results can be used for climate change impact studies, much useful information on climate change impact assessments can be obtained by examining the system sensitivity to larger scale climate perturbations (Hewitson, 2003).…”

Section: Methodsmentioning

confidence: 99%

“…Q wilt , Q fc , and Q s are soil water content at wilting point, field capacity, and saturation, respectively (Nash and Gleick, 1991). The approach has also been used in several studies (e.g., Singh and Bengtsson, 2005;Singh et al, 2006;Arora et al, 2008;Rango and Martinec, 2008;Islam et al, 2012) with various combinations of temperature and precipitation changes to assess hydrological responses under changing climatic conditions. This study opted for several plausible perturbed climatic scenarios generated by sequentially varying each parameter, keeping the other constant-that is, the local approach as described by Shrestha et al (2007).…”

Section: Methodsmentioning

confidence: 99%

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Perturbation study of climate change impacts in a snow‐fed river basin

Manandhar

Pandey

Ishidaira

et al. 2012

Hydrological Processes

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A physically based distributed hydrological model developed at the University of Yamanashi based on block‐wise use of TOPMODEL and the Muskingum–Cunge method (YHyM/BTOPMC), integrated with a simple degree‐day–based snow accumulation/melt sub‐model, was applied to evaluate hydrological responses under changing climatic conditions in the snow‐fed Kali Gandaki River Basin (KGRB) in Western Nepal. Rainy season precipitation (June to September) in the basin takes up about 80% of the annual precipitation, and dry season runoff is largely contributed by snowmelt. Climate change is likely to increase the probability of extreme events and problems related to water availability. Therefore, the study aimed to simulate runoff pattern under changing climatic conditions, which will be helpful in the management of water resources in the basin. Public domain global data were widely used in this study. The model was calibrated and validated with an acceptable degree of accuracy. The results predicted that the annual average discharge will increase by 2.4%, 3.7%, and 5.7% when temperature increases by 1, 2, and 3 °C compared with the reference scenario. Similarly, maximum, minimum, and seasonal discharges in the monsoon and pre‐monsoon seasons will also increase with rising temperature. Snowmelt runoff is found sensitive to temperature changes in the KGRB. Increasing temperature will cause a faster snowmelt, but precipitation will increase the snowpack and also shed a positive effect on the total annual and monsoonal discharge. For the combined scenarios of increasing temperature and precipitation, the annual average discharge will increase. In contrast, discharge during the increasing temperature and decreasing precipitation will tend to decrease. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Perturbation study of climate change impacts in a snow‐fed river basin

Manandhar

Pandey

Ishidaira

et al. 2012

Hydrological Processes

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“…Many studies have shown that climate change could significantly affect streamflow (Raneesh and Santosh, ; Islam et al , ; Kankam‐Yeboah et al , ; Jha and Gassman, ; Saha and Zekeke, ; Tan et al , ), sediment (Phan et al , ; Chichakly et al , ; Shrestha et al , ; Zabaleta et al , ) and nutrient yields (Bouraoui et al , ; Andersen et al , ; Bosch et al , ). Previous studies of potential climate changes have generally focused on streamflow and relatively little research was conducted on water quality issues.…”

Section: Introductionmentioning

confidence: 99%

Climate change impacts on agricultural non‐point source pollution with consideration of uncertainty in CMIP5

Cho

Choi

et al. 2016

Irrigation and Drainage

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Changes in non‐point source pollutant loads in the Mankyeong River Basin for the 30‐year future period (2011–2040) were assessed with consideration of the uncertainties in the climate change scenario data. The downscaled weather variables from eleven Climate Models for the Representative Concentration Pathways (RCP) 8.5 scenario were used as input to the calibrated and validated Soil and Water Assessment Tool (SWAT) model for simulating the changes of future NPS pollutant loads. The bias‐corrected data appropriately reproduced the spatial and temporal patterns of the NPS pollutant load, which was derived by using observed weather data. The rates of change in sediment, total nitrogen (TN) and total phosphorus (TP) loads within each sub‐basin under the RCP8.5 future scenario showed an average increase of 13.1 to 143%, −13.4 to 49.5%, and 0.40 to 128%, respectively. It can be concluded that sediment and TP loads are sensitive to changes in the characteristics of climate variables by showing an increase trend in most of the sub‐basins. Looking at the temporal distribution, the uncertainty ranges for both sediment and TP were higher during the wet season from June to September. Copyright © 2016 John Wiley & Sons, Ltd.

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“…The influencing factors on runoff changes are mainly climate, including precipitation and evapotranspiration, and human activities. Numerous studies have examined recent runoff changes and their responses to climate change in worldwide river basins (e.g., Richey et al, 1989;Schulze, 2000;Poveda et al, 2001;Chiew and Mcmahon, 2002;Merritt et al, 2006;Cao et al, 2011;McCabe and Wolock, 2011;Islam et al, 2012;Tang et al, 2012;Yan et al, 2013;Lei et al, 2014). The impacts of human activities on runoff changes at the watershed scale are temporarily significant, at least over the last decades.…”

Section: Introductionmentioning

confidence: 99%

Climatic and anthropogenic impacts on runoff changes in the Songhua River basin over the last 56years (1955–2010), Northeastern China

Wang

Ran

et al. 2015

CATENA

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Runoff of some rivers in the world has decreased significantly due to climate change and enhanced human activities, resulting in severe eco-environmental problems. As a large Asian river with a channel length of 2309 km and a basin area of 5.568 × 10 5 km 2 , the Songhua River basin is an important bread basket in China. Although its runoff has experienced dramatic changes over the last decades, the relative importance of climate and human activity on the runoff changes has not been assessed heretofore. The purpose of this study is to decouple the relative impacts of precipitation, evapotranspiration (ET), and human activity on the runoff changes in the river basin using a SCRCQ method. Based on annual runoff dataset at 3 gauging stations on the main stem channel during the period 1955-2010, three turning years of runoff changes were detected that divided the entire time period into four parts for the above Dalai (1963Dalai ( , 1982Dalai ( , and 1998 and Haerbin-Jiamusi (1966, 1980, and 1998 sub-basins. While for the Dalai-Haerbin sub-basin, only one turning year of 1988 was detected. The first period was taken as the reference baseline period while the others regarded as measure periods. Based on mean annual precipitation and mean annual reference crop ET observed at 62 meteorological stations during the period 1955-2010, the relative impacts of precipitation, evapotranspiration and human activities on runoff changes were assessed. For the runoff changes in the above Dalai and Haerbin-Jiamusi sub-basins, the results show that the precipitation impact ranged from 3.3% to 24.7% and from 15.4% to 33.9%, respectively, and the impact of ET ranged from 0.6% to 10.8% and from −7.3% to 9.8%, respectively. In comparison, the anthropogenic impact ranged from 64.8% to 96.1% and from 56.3% to 91.9%, respectively. For the Dalai-Haerbin sub-basin, the impacts of precipitation, evapotranspiration and human activities on the runoff changes were 29.7%, −15.6% and 85.8%, respectively. Human activities have become the most important factor in controlling runoff changes in the river basin. The magnitude of human impact reached its maximum in the 1990s, and then decreased remarkably as a result of the implementation of some new measures, such as water-saving irrigation, wetland conservation and restoration, and reforestation, in agriculture production and environment protection. Given the severe water stress, anthropogenic impact on runoff changes in the Songhua River basin must be given more attention in the future.

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Streamflow Response to Climate Change in the Brahmani River Basin, India

Cited by 54 publications

References 28 publications

Perturbation study of climate change impacts in a snow‐fed river basin

Perturbation study of climate change impacts in a snow‐fed river basin

Climate change impacts on agricultural non‐point source pollution with consideration of uncertainty in CMIP5

Climatic and anthropogenic impacts on runoff changes in the Songhua River basin over the last 56years (1955–2010), Northeastern China

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