The assessment of surface water resources for the semi‐arid Yongding River Basin from 1956 to 2000 and the impact of land use change

Wang, Lei; Wang, Zhongjing; Koike, Takao; Yin, Hang; Yang, Dawen; He, Shan

doi:10.1002/hyp.7566

Cited by 43 publications

(25 citation statements)

References 8 publications

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“…Wang et al (2009) estimated that human activities were responsible for about 70 % of the decline in runoff in the Chaobaihe River Basin, a sub-catchment of Haihe River Basin, during the period 1961-2001. Wang et al (2010) found a 7.9 % decrease of surface water volumes in the Yongdinghe River Basin during the period 1991-2000, due to land use change. Yang and Tian (2009) concluded that increasing the area of agricultural land and agricultural water use are the most probable driving factors of runoff decline in the upstream catchment of the basin.…”

Section: Introductionmentioning

confidence: 94%

Quantifying impacts of climate variability and human activities on the hydrological system of the Haihe River Basin, China

Wei

et al. 2014

Environ Earth Sci

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In the last 50 years, the hydrological system of the Haihe River Basin in northern China has undergone great changes, such as declines in runoff and discharge, rivers drying up, and groundwater depletion. Both climate variability and human activities have been regarded as causes for these changes, but which is the major reason was not clear in the past. This paper aims to quantify the impact of climate variability, particularly changes of precipitation, and human activities (water storage projects, agricultural development, soil and water conservation projects, and agricultural water saving) on the hydrological system of the basin. A basin-level water consumption balance model was used to simulate the changes of the hydrological system during the period of 1958-2008. The non-parametric Mann-Kendall test and Pettitt's test methods were adopted to identify trends and change points of the hydrological factors. And the contribution of climatic variability and human activities was calculated based on the multi-year average of all the climatic and hydrological parameters of different river basin management stages and their relative changes between adjacent periods. The results show that from 1958 to 1965 the basin hydrological system was in the natural state of equilibrium. During 1966-1978 human activities were the main factors with the contribution of 96.1 and 76.6 % for the upstream and downstream area. During the period of 1979-1988, the change of precipitation was the main factor to cause the upstream and downstream hydrological system changes with contributions of 73.8 and 64.1 %. In the period of 1989-2000 and 2001-2008, the climate variability still dominated the impact of the hydrological system changes in the upstream and downstream areas. Based on these findings, some measures were recommended to improve the balance of the hydrological system in this basin including recharging the downstream area with water that is currently stored in the upstream, implementing agricultural water-saving practices in the basin, and using treated sewage from the cities for river environmental flow recovery and wetland restoration.

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Section: Introductionmentioning

confidence: 94%

Quantifying impacts of climate variability and human activities on the hydrological system of the Haihe River Basin, China

Wei

et al. 2014

Environ Earth Sci

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“…The Yongding River basin is one of the major water source areas of Beijing (Wang et al 2010). It has many changing human activities, such as agricultural exploitation and urban expansion.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the effects of climate change and human activities on runoff in the water source area of Beijing, China

Xia

Zeng

et al. 2014

Hydrological Sciences Journal

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Quantitative assessment of the effects of climate change and human activities on runoff is very important for regional sustainable water resources adaptive management. In this study, the non-parametric Mann-Kendall test is used to identify the trends in and change points of the annual runoff with the aim of analysing the changing characteristics of the hydrological cycle. The study presents the analytical derivation of a method which combines six Budyko hypothesis-based water-energy balance equations with the PenmanMonteith equation to separate the effects of climate change and human activities. The method takes several climate variables into consideration. Results based on data from the Yongding River basin, China, show that climate change is estimated to account for 10.5-12.6% of the reduction in annual runoff and human activities contribute to 87.4-89.5% of the runoff decline. The results indicate that human activities are the main driving factors for the reduction in runoff.Key words climate change; human activities; runoff; Yongding River basin, China Quantification des effets du changement climatique et des activités humaines sur l'écoulement dans la zone d'alimentation en eau de Pékin, Chine Résumé L'évaluation quantitative des effets du changement climatique et des activités humaines sur l'écoulement est très important pour une gestion durable et adaptative des ressources en eau régionales. Dans cette étude, le test non paramétrique de Mann-Kendall a été utilisé pour identifier les tendances et les sauts de l'écoulement annuel afin d'analyser l'évolution des caractéristiques du cycle hydrologique. L'étude présente l'établissement une méthode analytique qui combine six équations de bilan eau-énergie basées sur l'hypothèse de Budiko avec l'équation de Penman-Monteith, pour séparer les effets du changement climatique et ceux des activités humaines. La méthode prend plusieurs variables climatiques en considération. Les résultats basés sur les données du bassin de la rivière Yongding, en Chine, montrent que l'on peut estimer que la réduction de l'écoulement annuel prévu serait due pour 10,5 à 12,6% au changement climatique et pour 87,4 à 89,5% aux activités humaines. Ces résultats indiquent que les activités humaines sont le principal facteur responsable de la réduction de l'écoulement.

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“…The study area is in a typical continental semiarid climate zone, with a mean annual precipitation of 563 mm (1961–2010), mainly in the period from June to September. The average annual evaporation is 1182 mm (Wang et al, 2010). Land cover within the study area is primarily dominated by urbanization, followed by a small proportion of dry lands, croplands, forest lands, and grasslands.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Yongding River Ecological Restoration on the Groundwater Environment: Scenario Prediction

Mao

Yang³

2018

Vadose Zone Journal

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Reclaimed water was discharged into the Yongding River channels as ecological water. Pollutants from such water may leak into the underlying aquifer and put the groundwater environment at risk. River leakage estimation under different possible river lining conditions and the established groundwater flow and reactive solute transport model were jointly applied to investigate the impact of the ecological restoration of the Yongding River on the local groundwater environment. Scenario-based investigations were conducted since the channel reconstruction in 2009. The results show that the seepage from the Yongding River without liners can greatly raise the groundwater level. Leakage through liners constructed with geomembranes can effectively control the seepage of water and the spread of solutes in the aquifer.

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The assessment of surface water resources for the semi‐arid Yongding River Basin from 1956 to 2000 and the impact of land use change

Cited by 43 publications

References 8 publications

Quantifying impacts of climate variability and human activities on the hydrological system of the Haihe River Basin, China

Quantifying impacts of climate variability and human activities on the hydrological system of the Haihe River Basin, China

Quantifying the effects of climate change and human activities on runoff in the water source area of Beijing, China

Impacts of Yongding River Ecological Restoration on the Groundwater Environment: Scenario Prediction

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