Spatial and Temporal Characteristics of Reference Evapotranspiration Trends in the Haihe River Basin, China

Wang, Weiguang; Peng, Shizhang; Yang, Tao; Shao, Quanxi; Xu, Junzeng

doi:10.1061/(asce)he.1943-5584.0000320

Cited by 66 publications

(43 citation statements)

References 48 publications

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“…15 stations (32.6%) showed significant negative trends, mainly located in the central region. In China, studies have shown that ET O had similar negative trends in the Yellow River Basin Ma et al, 2012), Haihe River basin (Tang et al, 2011;Wang et al, 2011), Changjiang basin (Xu et al, 2006) and Huang-Huai-Hai Plain . Meanwhile, annual ET O at 13 stations, mainly located in the south and east part of the study region, had positive trends, which is similar to the increasing trends Table 5 Numbers of stations with ETO trend dominated factors in monthly timescale.…”

Section: Et O Trendmentioning

confidence: 84%

“…found that ET O was more easily affected by solar radiation than other meteorological variables in the Yellow River basin, China. Wang et al (2011) showed that wind speed and relative humidity were the main driving forces for decreasing ET O in the Haihe River basin of China. However, increasing ET O has also been proved in some other regions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing–Tianjin Sand Source Control Project Region, China

Shan

Shi

Yang

et al. 2015

Agricultural and Forest Meteorology

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Section: Et O Trendmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing–Tianjin Sand Source Control Project Region, China

Shan

Shi

Yang

et al. 2015

Agricultural and Forest Meteorology

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“…Meanwhile, increased evapotranspiration and aridity were projected across most of eastern China in the mid-21st century. Enhancement ET o may have negative implications on ecosystem and agriculture, like crop growth in the Haihe River Basin which is an important grain production base in eastern China (Wang et al, 2011). Moreover, increased aridity has the potential impact on grassland composition and productivity (Clark et al, 2002), and the forest growth would decline and mortality rates may increase substantially response to rising aridity (Williams et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Projections of aridity and its regional variability over China in the mid‐21st century

Yin

et al. 2015

Intl Journal of Climatology

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ABSTRACT:The effects of aridity on ecosystems and water cycles are pronounced and have received considerable attention. However, aridity changes due to future warming and its regional variability over China remain uncertain. This paper aims to identify the spatiotemporal variations in aridity and its key influencing factors over China in the mid-21st century based on five general circulation models (GCMs) and four representative concentration pathway (RCP) scenarios. An aridity index (AI), defined as the ratio of reference evapotranspiration (ET o ) to precipitation (P), was calculated. We show that the GCM ensemble means are able to reproduce the variation of aridity during the baseline period. Generally, ET o anomalies are consistently positive. Other than for the RCP2.6 low-emission scenario, precipitation and aridity are both projected to increase. There are pronounced regional differences in aridity changes; i.e. wetter across most of western China and drier across most of eastern China in the mid-21st century. Negative AI anomalies in western China can be attributed mainly to the projected increase in precipitation. In eastern China, the AI was higher despite positive precipitation anomalies, due mainly to the greater effect of climate change on increasing atmospheric moisture demand. This suggests that evapotranspiration demand should be incorporated into aridity changes under future warming.

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“…Water resources are affected by the alteration of a number of water balance components which have different responses to climate change [1,2]. Effective management of water resources in cold and alpine regions requires detailed attention to be paid to the spatial distribution of the water balance components [3,4].…”

Section: Introductionmentioning

confidence: 99%

Assessing Variation in Water Balance Components in Mountainous Inland River Basin Experiencing Climate Change

Yin

Feng

Zou

et al. 2016

Water

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Abstract:Quantification of the changes of water balance components is significant for water resource assessment and management. This paper employed the Soil and Water Assessment Tool (SWAT) model to estimate the water balance in a mountainous watershed in northwest China at different spatial scales over the past half century. The results showed that both Nash-Sutcliffe efficiency (NSE) and determination coefficient (R 2 ) were over 0.90 for the calibration and validation periods. The water balance components presented rising trends at the watershed scale, and the total runoff increased by 30.5% during 1964 to 2013 period. Rising surface runoff and rising groundwater flow contributed 42.7% and 57.3% of the total rising runoff, respectively. The runoff coefficient was sensitive to increasing precipitation and was not significant to the increase of temperature. The alpine meadow was the main landscape which occupied 51.1% of the watershed and contributed 55.5% of the total runoff. Grass land, forest land, bare land, and glacier covered 14.2%, 18.8%, 15.4%, and 0.5% of the watershed and contributed 8.5%, 16.9%, 15.9%, and 3.2% of the total runoff, respectively. The elevation zone from 3500 to 4500 m occupied 66.5% of the watershed area, and contributed the majority of the total runoff (70.7%). The runoff coefficients in the elevation zone from 1637 to 2800 m, 2800 to 3500 m, 3500 to 4000 m, 4000 to 4500 m, and 4500 to 5062 m were 0.20, 0.27, 0.32, 0.43, and 0.78, respectively, which tend to be larger along with the elevation increase. The quantities and change trends of the water balance components at the watershed scale were calculated by the results of the sub-watersheds. Furthermore, we characterized the spatial distribution of quantities and changes in trends of water balance components at the sub-watershed scale analysis. This study provides some references for water resource management and planning in inland river basins.

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Spatial and Temporal Characteristics of Reference Evapotranspiration Trends in the Haihe River Basin, China

Cited by 66 publications

References 48 publications

Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing–Tianjin Sand Source Control Project Region, China

Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing–Tianjin Sand Source Control Project Region, China

Projections of aridity and its regional variability over China in the mid‐21st century

Assessing Variation in Water Balance Components in Mountainous Inland River Basin Experiencing Climate Change

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