scholarly journals Characteristics of Runoff Variations and Attribution Analysis in the Poyang Lake Basin over the Past 55 Years

2020 ◽  
Vol 12 (3) ◽  
pp. 944 ◽  
Author(s):  
Ruonan Wang ◽  
Wenqi Peng ◽  
Xiaobo Liu ◽  
Cuiling Jiang ◽  
Wenqiang Wu ◽  
...  
Keyword(s):  
Climate Change ◽  
Human Activities ◽  
Poyang Lake ◽  
Water Cycle ◽  
Temporal Variations ◽  
Trend Test ◽  
Lake Basin ◽  
Poyang Lake Basin ◽  
The Future ◽  
Measurement Period

Spatial and temporal variations in hydrological series are affected by both climate change and human activities. A scientific understanding of the impacts of these two main factors on runoff will help to understand the response mechanism of the water cycle in a changing environment. This study focused on Poyang Lake Basin, which contains China’s largest freshwater lake. Several approaches, including the Mann-Kendall trend test, cumulative anomaly method, Hurst exponent analysis, and slope change ratio of cumulative quantity (SCRCQ) method, were adopted to explore the characteristics of runoff variations and the respective impacts of climate change and human activities on runoff variations in the five subbasins. The results indicated that (1) from 1961 to 2015, the runoff throughout the basin fluctuated, and it decreased significantly in the 2000s. (2) Different baseline periods and measurement periods were identified for each subbasin to analyse the spatial and temporal responses of runoff to climate change and human activities. (3) The runoff of each subbasin will exhibit anti-persistent features with different persistence times in the future. (4) Compared with those in the baseline period, in the first measurement period, precipitation was the main factor driving the runoff increase in the Ganjiang, Fuhe, Xinjiang and Raohe subbasins, with contribution rates of 50.91–63.47%, and human activities played a supplementary role. However, in the second measurement period, as human activities intensified, they became the leading factor causing changes in runoff, with contribution rates between 59.57% and 92.49%. Considering water shortages and the intensification of human activities, the impacts of human activities on runoff variations will require more attention in the future.

scholarly journals Past and future changes of streamflow in Poyang Lake Basin, Southeastern China

2012 ◽  
Vol 16 (7) ◽  
pp. 2005-2020 ◽  
Author(s):  
S. L. Sun ◽  
H. S. Chen ◽  
W. M. Ju ◽  
J. Song ◽  
J. J. Li ◽  
...  
Keyword(s):  
Poyang Lake ◽  
Water Cycle ◽  
Coupled Model ◽  
Soil Water Storage ◽  
Future Climate Change ◽  
Lake Basin ◽  
Poyang Lake Basin ◽  
The Future ◽  
Intercomparison Project ◽  
Meteorological Observations

Abstract. To understand the causes of the past water cycle variations and the influence of climate variability on the streamflow, lake storage, and flood potential, we analyze the changes in streamflow and the underlying drivers in four typical watersheds (Gaosha, Meigang, Saitang, and Xiashan) within the Poyang Lake Basin, based on the meteorological observations at 79 weather stations, and datasets of streamflow and river level at four hydrological stations for the period of 1961-2000. The contribution of different climate factors to the change in streamflow in each watershed is estimated quantitatively using the water balance equations. Results show that in each watershed, the annual streamflow exhibits an increasing trend from 1961–2000. The increases in streamflow by 4.80 m3 s−1 yr−1 and 1.29 m3 s−1 yr−1 at Meigang and Gaosha, respectively, are statistically significant at the 5% level. The increase in precipitation is the biggest contributor to the streamflow increment in Meigang (3.79 m3 s−1 yr−1), Gaosha (1.12 m3 s−1 yr−1), and Xiashan (1.34 m3 s−1 yr−1), while the decrease in evapotranspiration is the major factor controlling the streamflow increment in Saitang (0.19 m3 s−1 yr−1). In addition, radiation and wind contribute more than actual vapor pressure and mean temperature to the changes in evapotranspiration and streamflow for the four watersheds. For revealing the possible change of streamflow due to the future climate change, we also investigate the projected precipitation and evapotranspiration from of the Coupled Model Intercomparison Project phase 3 (CMIP3) under three greenhouse gases emission scenarios (SRESA1B, SRESA2 and SRESB1) for the period of 2061–2100. When the future changes in the soil water storage changes are assumed ignorable, the streamflow shows an uptrend with the projected increases in both precipitation and evapotranspiration (except for the SRESB1 scenario in Xiashan watershed) relative to the observed mean during 1961–2000. Furthermore, the largest increase in the streamflow is found at Meigang (+4.31%) and Xiashan (+3.84%) under the SRESA1B scenario, while the increases will occur at Saitang (+6.87%) and Gaosha (+5.15%) under the SRESB1 scenario.

Historical environmental changes in the Poyang Lake basin (Yangtze River, China) and impacts on agricultural activities

The Holocene ◽  
2021 ◽  
pp. 095968362110477
Author(s):  
Maofeng He ◽  
Fengxian Bu ◽  
Claudio O Delang ◽  
Jialin Xie ◽  
Quan Ye ◽  
...  
Keyword(s):  
Climate Change ◽  
Lake Water ◽  
Human Activities ◽  
Environmental Changes ◽  
Poyang Lake ◽  
Lake Basin ◽  
Lake Area ◽  
Poyang Lake Basin ◽  
Past 2000 Years ◽  
Floods And Droughts

Climate change and human activities have been an important part of studies regarding historical environmental changes in China over the past 2000 years. In this study, we focused on environmental changes, that is, natural disasters and human activities, in the Poyang Lake Basin over the past 2000 years, to analyze interactions between land use cover changes and human activities from the perspective of regional sustainable development. We collected historical records of climate and hydrology, floods and droughts, and rivers and lakes in the Poyang Lake area, and established time sequences for the floods and droughts, lake water level and lake area, amount of farming land, and population, in order to discuss interactions between changes in the environment and the climate, with emphasis on the impacts of extreme events on lake and river basin environment changes. The following results were obtained. First, climate changes in historical periods had wide-ranging and far-reaching impacts on agricultural production, especially disasters caused by climate change. Among the changes in the Poyang Lake basin environment, including river network systems, lake water levels, etc., changes in lake water volume are direct evidence of climate change, adaptation to climate change, and obvious phased characteristics. Second, in the process of changes to the lake and river network in the Poyang Lake Basin, social and economic development is accompanied by evolution of the lake. Increases and decreases in population, the scale of agricultural production, and lake environment changes have direct and significant interactions. Third, the Poyang Lake basin’s environmental changes during the historical period are mainly reflected in the pressure feedback mode of “population–agriculture” in the lake environment.

Contributions of climate change and human activities to runoff variations in the Poyang Lake Basin of China

2021 ◽  
Vol 123 ◽  
pp. 103019
Author(s):  
Xiangyong Lei ◽  
Lu Gao ◽  
Jianhui Wei ◽  
Miaomiao Ma ◽  
Ligang Xu ◽  
...  
Keyword(s):  
Climate Change ◽  
Human Activities ◽  
Poyang Lake ◽  
Lake Basin ◽  
Poyang Lake Basin

Evaluation of impacts of climate change and human activities on streamflow in the Poyang Lake basin, China

2016 ◽  
Vol 30 (14) ◽  
pp. 2562-2576 ◽  
Author(s):  
Qiang Zhang ◽  
Jianyu Liu ◽  
Vijay P. Singh ◽  
Xihui Gu ◽  
Xiaohong Chen
Keyword(s):  
Climate Change ◽  
Human Activities ◽  
Poyang Lake ◽  
Lake Basin ◽  
Poyang Lake Basin ◽  
Impacts Of Climate Change

scholarly journals Controls of Climate and Land-Use Change on Terrestrial Net Primary Productivity Variation in a Subtropical Humid Basin

2020 ◽  
Vol 12 (21) ◽  
pp. 3525
Author(s):  
Fu-hong Liu ◽  
Chong-Yu Xu ◽  
Xiao-xia Yang ◽  
Xu-chun Ye
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
Primary Productivity ◽  
Human Activities ◽  
Net Primary Productivity ◽  
Poyang Lake ◽  
Lake Basin ◽  
Total Production ◽  
Poyang Lake Basin

Knowledge of vegetation dynamics in relation to climatic changes and human activities is essential for addressing the terrestrial carbon cycle in the context of global warming. Scientific detection and quantitative attribution of vegetation dynamic changes in different climatic zones and human activities are the focus and challenge of the relevant research. Taking the Poyang Lake basin as the research area, this study aimed to reveal how climate and land use drive changes in net primary productivity (NPP) in the subtropical humid basin. Change patterns of vegetation NPP and their relationships with meteorological factors across the basin were first investigated based on the estimation of 18 year (2000–2017 year) NPP by using a typical light energy utilization model, the Carnegie-Ames-Stanford Approach (CASA) model. Quantitative analysis was then conducted to explicitly distinguish the driving effects of climate change and land-use change on NPP dynamics in two different periods. Results show that annual NPP and total production (TP) of the Poyang Lake basin increased significantly from 2000 to 2017. During this period, land-use change in the basin was driven by the process of urbanization expansion and the efforts of ecological protection. Climatically, the temperature is the major influencing climatic factor in determining vegetation productivity in the subtropical humid basin, followed by precipitation and solar radiation. In addition, our investigation also revealed that with comparison to the period of 2000s, the increased TP of the Poyang Lake basin due to climate change in 2010s was much bigger than the decreased TP due to land-use change. However, in the areas where the land-use change occurred, the decreased TP was mainly attributed to the impact of land-use change, even though climate change showed a positive effect of increasing productivity.

Effects of climate change on annual streamflow using climate elasticity in Poyang Lake Basin, China

2012 ◽  
Vol 112 (1-2) ◽  
pp. 169-183 ◽  
Author(s):  
Shanlei Sun ◽  
Haishan Chen ◽  
Weimin Ju ◽  
Jie Song ◽  
Hao Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Poyang Lake ◽  
Lake Basin ◽  
Annual Streamflow ◽  
Climate Elasticity ◽  
Poyang Lake Basin

scholarly journals Quantifying Influences of Natural and Anthropogenic Factors on Vegetation Changes Based on Geodetector: A Case Study in the Poyang Lake Basin, China

2021 ◽  
Vol 13 (24) ◽  
pp. 5081
Author(s):  
Yiming Wang ◽  
Zengxin Zhang ◽  
Xi Chen
Keyword(s):  
Land Use ◽  
Human Activities ◽  
Vegetation Change ◽  
Poyang Lake ◽  
Anthropogenic Factors ◽  
Lake Basin ◽  
Vegetation Changes ◽  
Vegetation Growth ◽  
Poyang Lake Basin ◽  
Natural And Anthropogenic Factors

Understanding the driving mechanism of vegetation changes is essential for vegetation restoration and management. Vegetation coverage in the Poyang Lake basin (PYLB) has changed dramatically under the context of climate change and human activities in recent decades. It remains challenging to quantify the relative contribution of natural and anthropogenic factors to vegetation change due to their complicated interaction effects. In this study, we selected the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation growth and used trend analysis and the Mann-Kendall test to analyze its spatiotemporal change in the PYLB from 2000 to 2020. Then we applied the Geodetector model, a novel spatial analysis method, to quantify the effects of natural and anthropogenic factors on vegetation change. The results showed that most regions of the basin were experiencing vegetation restoration and the overall average NDVI value in the basin increased from 0.756 to 0.809 with an upward yearly trend of +0.0026. Land-use type exerted the greatest influence on vegetation change, followed by slope, elevation, and soil types. Except for conversions to construction land, most types of land use conversion induced an increase in NDVI in the basin. The influence of one factor on vegetation NDVI was always enhanced when interacting with another. The interaction effect of land use types and population density was the largest, which could explain 45.6% of the vegetation change, indicating that human activities dominated vegetation change in the PYLB. Moreover, we determined the ranges or types of factors most suitable for vegetation growth, which can be helpful for decision-makers to optimize the implementation of ecological projects in the PYLB in the future. The results of this study could improve the understanding of the driving mechanisms of vegetation change and provide a valuable reference for ecological restoration in subtropical humid regions.

Sign in / Sign up

Export Citation Format

Share Document