The impact of climate variability and land use/cover change on the water balance in the Middle Yellow River Basin, China

Bao, Zhenxin; Zhang, Jianyun; Wang, Guoqing; Chen, Qiuwen; Guan, Tiesheng; Yan, Xiaolin; Liu, Cuishan; Liu, Jing; Wang, Jie

doi:10.1016/j.jhydrol.2019.123942

Cited by 93 publications

(55 citation statements)

References 47 publications

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“…Yang, Shao, et al, 2009). In human-impacted watersheds, irrigated area or agricultural area is frequently found to be an important explanatory variable (Bao et al, 2019;Jiang et al, 2015;Oliveira et al, 2019).…”

Section: Why Does Relative Importance Vary?mentioning

confidence: 99%

Identifying the Dominant Drivers of Hydrological Change in the Contiguous United States

Quiring

2021

Water Resources Research

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Section: Why Does Relative Importance Vary?mentioning

confidence: 99%

Identifying the Dominant Drivers of Hydrological Change in the Contiguous United States

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2021

Water Resources Research

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“…Thus, the evolution trend of streamflow changed around 1970.The cultivated-land, woodland and grassland are main usage in the region, accounting for about 95% [ 42 ] of the area. From 1980 to 2000, intense human activity changed land use and land cover change (LUCC) of the region, with increased cultivated-land and reduced woodland and grassland [ 42 , 43 ], and the LUCC in 1980–1990 transformed significantly than that in 1990–2000 [ 42 ]. Also, the Normalized Difference Vegetation Index (NDVI) show a non-significant uptrend in this period [ 44 ].…”

Section: Applicationmentioning

confidence: 99%

“…The ordered state of the streamflow changed again, and the complexity of the system increased. Compared with the period of 1980-1999, the land use change, from 2000 to 2015, is significant with a decrease in farmland and an increase in forest and grassland benefitting from the implement of Grain-to-Green [ 43 , 45 ], and the increase in the precipitation corresponds to the increase trend of NDVI after 2000 [ 44 ]. In 2003, a rainstorm occurred in the Weihe River basin, suddenly increasing the streamflow.…”

Section: Applicationmentioning

confidence: 99%

Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China

Kang

Song

2019

Entropy

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The study on the complexity of streamflow has guiding significance for hydrologic simulation, hydrologic prediction, water resources planning and management. Utilizing monthly streamflow data from four hydrologic control stations in the mainstream of the Weihe River in China, the methods of approximate entropy, sample entropy, two-dimensional entropy and fuzzy entropy are introduced into hydrology research to investigate the spatial distribution and dynamic change in streamflow complexity. The results indicate that the complexity of the streamflow has spatial differences in the Weihe River watershed, exhibiting an increasing tendency along the Weihe mainstream, except at the Linjiacun station, which may be attributed to the elevated anthropogenic influence. Employing sliding entropies, the variation points of the streamflow time series at the Weijiabu station were identified in 1968, 1993 and 2003, and those at the Linjiacun station, Xianyang station and Huaxian station occurred in 1971, 1993 and 2003. In the verification of the above points, the minimum value of t-test is 3.7514, and that of Brown–Forsythe is 7.0307, far exceeding the significance level of 95%. Also, the cumulative anomaly can detect two variation points. The t-test, Brown–Forsythe test and cumulative anomaly test strengthen the conclusion regarding the availability of entropies for identifying the streamflow variability. The results lead us to conclude that four entropies have good application effects in the complexity analysis of the streamflow time series. Moreover, two-dimensional entropy and fuzzy entropy, which have been rarely used in hydrology research before, demonstrate better continuity and relative consistency, are more suitable for short and noisy hydrologic time series and more effectively identify the streamflow complexity. The results could be very useful in identifying variation points in the streamflow time series.

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“…This approach is time-consuming and difficult to apply to large basins (Zuo et al 2016). The other is constructing hydrological models to explore the response of the hydrological cycle to LULC changes under different scenarios (Bao et al 2019). Brown et al (2013) analyzed the impacts of vegetation changes on streamflow regimes based on this method and reported that impacts on low flows were greater than those on high and/or median flows.…”

Section: Introductionmentioning

confidence: 99%

Regional water cycle response to land use/cover change for a typical agricultural area, North China Plain

Wang

Lü

et al. 2021

Hydrology Research

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Quantifying the influences of land use/cover (LULC) change on hydrological processes is important for rational utilization of water resources. The objective of this study was to evaluate the impacts of spatiotemporal LULC change on hydrological components in a typical agricultural area located in the North China Plain at both basin and sub-basin scales. LULC change was quantified, and the Soil and Water Assessment Tool was optimized using parameters associated with LULC conditions. We concluded that the urban and forest areas increased by 25.57 and 10.56%, with the cropland area decreased by 36.76%. About half of the surface runoff (SURQ) in the basin was generated from the urban area, with the SURQ increased significantly in the upstream and downstream of the basin where overlapped with urbanized areas. The proportions of evapotranspiration generated by cropland and forest areas increased slightly (0.89 and 0.55%, respectively), especially in sub-basins where the conversion of cropland to forest was obvious. Urban, forest, and cropland were the main types that generated water yield (WYLD). The proportion of WYLD generated on the urban area increased by 9.55% and decreased in other areas, which may be related to the combined effects of urbanization and forest reduction.

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The impact of climate variability and land use/cover change on the water balance in the Middle Yellow River Basin, China

Cited by 93 publications

References 47 publications

Identifying the Dominant Drivers of Hydrological Change in the Contiguous United States

Identifying the Dominant Drivers of Hydrological Change in the Contiguous United States

Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China

Regional water cycle response to land use/cover change for a typical agricultural area, North China Plain

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