Contributions of climate change and human activities to the changes in runoff increment in different sections of the Yellow River

Wang, Suiji; Mao, Yan; Yan, Yuping; Shi, Changxing; He, Li

doi:10.1016/j.quaint.2012.07.011

Cited by 139 publications

(91 citation statements)

References 18 publications

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“…This study used the non-parametric Mann-Kendall test [62,63] accumulative anomaly method [64], SCRCQ method [16,23], SWAT hydrological model [65][66][67] and Pearson correlation analysis [68]. The first two methods were used to identify any abrupt changes in the annual FDV from 1960 to 2011 because the combination of the two methods facilitated the accurate and comprehensive identification of break points [23,51].…”

Section: Methodsmentioning

confidence: 99%

“…Many studies emphasise qualitative analysis [12][13][14] in determining the underlying factors. While, quantifying their effects is a primary task that must be performed prior to planning an efficient management strategy [15,16]. Since the meteorological and hydrological observation data for mountain watersheds are lacking [17], an appropriate method of detecting trends and quantifying their impact is essentially necessary.…”

Section: Introductionmentioning

confidence: 99%

“…The Mann-Kendall trend test and the accumulative anomaly method were used to detect the FDV variation in years of break points and divide the entire observation time series into a baseline period and a measurement period. The improved slope change ratio of cumulative quantity (SCRCQ) method and the Soil & Water Assessment Tool (SWAT model) were used to quantify the contributions of precipitation, potential evapotranspiration (PET) and human activities on FDV variations [16,23] by comparing the values in the measurement period against those of the baseline period. This study aims to provide essential insights into future sustainable water resources management.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Meng

Huang

et al. 2016

Water

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Abstract:Since the flow variations of Aksu River are strongly influenced by climate change and human activities which threat the local ecosystem and sustainable development, it is necessary to quantify the impact degree of the driving factors. Therefore, this study aims to quantify the impacts of climate change and human activities on the variability of runoff in the Aksu River Basin. The Mann-Kendall trend test and accumulative anomaly method were used to detect the break points of the flow difference value (FDV) between the upstream and downstream flume stations. The improved slope change ratio of cumulative quantity (SCRCQ) method and the Soil and Water Assessment Tool (SWAT) model were applied to decouple the contribution of each driving factor to the FDV variations. Furthermore, a Pearson Correlation Analysis was performed to show the relationships among the driving factors and the FDV. The time series prior to the year (1988) of break point was considered as the baseline period. Based on the annual precipitation and the potential evapotranspiration (PET), the relative impacts of precipitation, PET and human activities on FDV variations as determined by the SCRCQ method were 77.35%,´0.98% and 23.63%, respectively. In addition, the SWAT model indicated that climate factors and human activities were responsible for 92.28% and 7.72% of the variability, respectively. Thus, climate change and human activities showed a similar scale of impact on FDV changes.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Meng

Huang

et al. 2016

Water

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“…Hejazi (2011) used Budyko curves (Budyko, 1974) to detect human-induced changes in streamflow, investigating their deviation from the initial relationships between mean annual precipitation, evaporation, and potential evaporation as defined by the Budyko curves. Double mass curves (DMCs) are applied to compare the cumulative distribution of precipitation and discharge time series before and after human alterations as well as linear regression to establish the relationship between discharge and different climatic variables (Johnson et al, 1991;Wang et al, 2012;Hu et al, 2015). However, although such relatively simple statistical analyses of hydro-climatic time series might give a first insight into system behaviour, they might not capture the non-linear nature of hydrological systems.…”

Section: Introductionmentioning

confidence: 99%

Quantifying human impacts on hydrological drought using a combined modelling approach in a tropical river basin in central Vietnam

Firoz¹,

Nauditt²,

Fink

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Hydrological droughts are one of the most damaging disasters in terms of economic loss in central Vietnam and other regions of South-east Asia, severely affecting agricultural production and drinking water supply. Their increasing frequency and severity can be attributed to extended dry spells and increasing water abstractions for e.g. irrigation and hydropower development to meet the demand of dynamic socioeconomic development. Based on hydro-climatic data for the period from 1980 to 2013 and reservoir operation data, the impacts of recent hydropower development and other alterations of the hydrological network on downstream streamflow and drought risk were assessed for a mesoscale basin of steep topography in central Vietnam, the Vu Gia Thu Bon (VGTB) River basin. The Just Another Modelling System (JAMS)/J2000 was calibrated for the VGTB River basin to simulate reservoir inflow and the naturalized discharge time series for the downstream gauging stations. The HEC-ResSim reservoir operation model simulated reservoir outflow from eight major hydropower stations as well as the reconstructed streamflow for the main river branches Vu Gia and Thu Bon. Drought duration, severity, and frequency were analysed for different timescales for the naturalized and reconstructed streamflow by applying the daily varying threshold method.Efficiency statistics for both models show good results. A strong impact of reservoir operation on downstream discharge at the daily, monthly, seasonal, and annual scales was detected for four discharge stations relevant for downstream water allocation. We found a stronger hydrological drought risk for the Vu Gia river supplying water to the city of Da Nang and large irrigation systems especially in the dry season. We conclude that the calibrated model set-up provides a valuable tool to quantify the different origins of drought to support cross-sectorial water management and planning in a suitable way to be transferred to similar river basins.

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“…The Ningxia-Inner Mongolian reach is a main reach in the upper Yellow River whose scouring and silting processes are quite complex (Wang et al, 2014a;Du et al, 2014). Recently, the water regime of this reach has changed greatly under the effect of climate change, reservoir operation and water consumption as an irrigation region Shi et al, 2012;Wang et al, 2012aWang et al, , 2012bZhou et al, 2012;Zhang et al, 2013). This obvious change has caused an increase of sedimentation rate as well as severe shrinkage of the active channel (Qin et al, 2011;.…”

Section: Introductionmentioning

confidence: 99%

Comparison of channel geometry changes in Inner Mongolian reach of the Yellow River before and after joint operation of large upstream reservoirs

Yanguo

Shao

2015

J. Geogr. Sci.

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Abstract:The impact of reservoirs on downstream river channel change has been a scientific issue in fluvial geomorphology during the last few decades. However, it is still a difficult issue as to how to express quantitatively the channel adjustment in the Inner Mongolian reach of the Yellow River induced by the joint operation of upstream reservoirs. Based on the shape parameters of channel cross-sections at four gauging stations in this river reach over a flooding season in two periods, 1978-1982 and 2008-2012, the present work investigated the channel changes in terms of shape parameter change rate under the same controlling water level in each flooding season at the channel cross-sections. Results showed that most of the change rates of the parameters evidently increased over a flooding season in both periods. However, the change rate of each parameter at the cross-sections decreased evidently in the latter period, compared with the former period. At the same time, the distribution pattern of the change rate of the shape parameters along the cross-sections thus changed from a convex curve in the former period to an S-shaped curve in the latter period. The obvious decrease of the change rates is related to the joint operation of the Liujiaxia and Longyangxia reservoirs. The reservoirs stored a large volume of water and decreased the peak discharge and maximum velocity in the flooding season; as a result, the erosion ability of the flood decreased accordingly. With the joint operation of the large reservoirs, the Inner Mongolian channel shrunk markedly. Therefore, the channel will present the possibility of an extreme flood in the future. Consequently, it is reasonable to adjust the function of the reservoirs in future. The total water and sediment discharges and the peak discharge in flooding seasons should be effectively controlled. Continuous shrinkage of the channel can thus be avoided and it can be ready for a potential extreme flood.

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Contributions of climate change and human activities to the changes in runoff increment in different sections of the Yellow River

Cited by 139 publications

References 18 publications

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Quantifying human impacts on hydrological drought using a combined modelling approach in a tropical river basin in central Vietnam

Comparison of channel geometry changes in Inner Mongolian reach of the Yellow River before and after joint operation of large upstream reservoirs

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