Attribution of climate change and human activities to urban water level alterations and factors importance analysis in Central Taihu Basin

Urban Climate ◽  
2021 ◽  
Vol 40 ◽  
pp. 101011
Author(s):  
Qianyu Gao ◽  
Guofang Li ◽  
Zhenyang Li
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hendri Irwandi ◽  
Mohammad Syamsu Rosid ◽  
Terry Mart

AbstractThis research quantitatively and qualitatively analyzes the factors responsible for the water level variations in Lake Toba, North Sumatra Province, Indonesia. According to several studies carried out from 1993 to 2020, changes in the water level were associated with climate variability, climate change, and human activities. Furthermore, these studies stated that reduced rainfall during the rainy season due to the El Niño Southern Oscillation (ENSO) and the continuous increase in the maximum and average temperatures were some of the effects of climate change in the Lake Toba catchment area. Additionally, human interventions such as industrial activities, population growth, and damage to the surrounding environment of the Lake Toba watershed had significant impacts in terms of decreasing the water level. However, these studies were unable to determine the factor that had the most significant effect, although studies on other lakes worldwide have shown these factors are the main causes of fluctuations or decreases in water levels. A simulation study of Lake Toba's water balance showed the possibility of having a water surplus until the mid-twenty-first century. The input discharge was predicted to be greater than the output; therefore, Lake Toba could be optimized without affecting the future water level. However, the climate projections depicted a different situation, with scenarios predicting the possibility of extreme climate anomalies, demonstrating drier climatic conditions in the future. This review concludes that it is necessary to conduct an in-depth, comprehensive, and systematic study to identify the most dominant factor among the three that is causing the decrease in the Lake Toba water level and to describe the future projected water level.


2019 ◽  
Vol 131 ◽  
pp. 01071
Author(s):  
Xiaofan Qi ◽  
Dechao Yin ◽  
Yonghui An ◽  
Yushan Wang ◽  
Lei Gong

Water level dynamics of Wetlands are influenced by both climate change and human activities. Understanding the influence characteristics is important for the management of wetland water resources and ecology. Based on the water level dynamic and precipitation of the Baiyangdian Wetland, and the NPI index, the paper analyzes the response characteristics of the water level dynamic to the precipitation, and the teleconnections between the water level dynamic and the NPI by adopting method of wavelet analysis. Results show that climate change plays an important role on the response of the water level dynamic to the precipitation and also to the NPI, and human activities can significantly change the response characteristics. The response time lags of the water level dynamics to the NPI is longer than that of the water level dynamics to the precipitations, which indicates that the wetland precipitation might be partially influenced by the NPI. The knowledge of the response characteristics obtained in the paper is beneficial for water conservancy and control of the wetland, and is favorable for the sustainable development of its eco-environment.


2019 ◽  
Vol 33 (3) ◽  
pp. 891-904 ◽  
Author(s):  
Jie Wang ◽  
Youpeng Xu ◽  
Yuefeng Wang ◽  
Jia Yuan ◽  
Qiang Wang ◽  
...  

2016 ◽  
Author(s):  
Yuefeng Wang ◽  
Youpeng Xu ◽  
Yu Xu ◽  
Song Song ◽  
Guang Li ◽  
...  

Abstract. Water level is an indicating factor in flood control in the plain river network region of Taihu Basin (PRNRTB). It is mainly influenced by climate change and human activity. In this study, the annual and seasonal variations of extreme water level from 1960 to 2012 were analyzed based on daily water level of eight stations in the PRNRTB. The modified Mann-Kendall test and sequential cluster analysis are used to detect trends and points of abrupt change. The results indicated that the extreme water level shows a significant increase at a regional scale. The increases in extreme high water level (EHWL) and extreme low water level (ELWL) were 0.007 and 0.01 m per year, respectively. Detected points of abrupt change was around 1988 for the region and most stations, which correspond to the period of intensive human activities in this region. The changes in average annual EHWL and ELWL between 1989 and 2012 are, respectively, 7.8 and 12.7 % higher than that between 1960 and 1988. Meanwhile, contributions of precipitation and human activity were also assessed in three individual periods (1989–2012, 1989–2000, and 2000–2012). Between 1989 and 2012, the contribution from human activity increased from 20.5 to 70.3 % for EHWL, while human activity was always the main driver responsible for the increase in ELWL in that period. In addition, a thorough discussion is included about the potential driving force on the extreme water level in the PRNRTB. Human activities are suggested to have played more and more important roles in the extreme water level changes since the late 1980s. The results of the study would provide support in water resources management and floods control in urban development.


Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 29
Author(s):  
Huaxin Wu ◽  
Shengrui Wang ◽  
Tao Wu ◽  
Bo Yao ◽  
Zhaokui Ni

Climate change and human activities cause lake water level (WL) fluctuations to exceed natural thresholds, with implications for the available water resources. Studies that explore WL change trends and the main driving forces that affect water level changes are essential for future lake water resource planning. This study uses the Mann–Kendall trend test method to explore the WL fluctuations trend and WL mutation in Erhai Lake (EL) during 1990–2019 and explore the main driving factors affecting water level changes, such as characteristic WL adjustments. We also use the principal component analysis to quantify the contribution of compound influencing factors to the water level change in different periods. The results showed that the WL rose at a rate of 47 mm/a during 1990–2019 but was influenced by the characteristic WL adjustment of EL in 2004 and the WL mutation in 2005. In 1990–2004, the WL showed a downtrend caused by the increase in water resource development and utilization intensity, and in 2005–2019, the WL showed an uptrend caused by the combined decrease in evaporation, outflow, and the increase in water supply for water conservancy projects. Additionally, the largest contributions of outflow to WL change were 19.34% and 21.61% in 1990–2019 and 1990–2004, respectively, while the largest contribution of cultivated area to WL change was 20.48% in 2005–2019, and it is worth noting that the largest contribution of climate change to WL change was 40.35% in 2013–2019. In the future, under the increase in outflow and evaporation and the interception of inflow, the WL will decline (Hurst exponent = 0.048). Therefore, planning for the protection and management of lakes should consider the impact of human activities, while also paying attention to the influence of climate change.


2020 ◽  
Vol 13 (2) ◽  
pp. 83-94 ◽  
Author(s):  
Juan Wu ◽  
Zhi-yong Wu ◽  
He-juan Lin ◽  
Hai-ping Ji ◽  
Min Liu

“We regard the recent science –based consensual reports that climate change is, to a large extend, caused by human activities that emit green houses as tenable, Such activities range from air traffic, with a global reach over industrial belts and urban conglomerations to local small, scale energy use for heating homes and mowing lawns. This means that effective climate strategies inevitably also require action all the way from global to local levels. Since the majority of those activities originate at the local level and involve individual action, however, climate strategies must literally begin at home to hit home.”


Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 243
Author(s):  
Javier Alcocer ◽  
Luis A. Oseguera ◽  
Diana Ibarra-Morales ◽  
Elva Escobar ◽  
Lucero García-Cid

High-mountain lakes are among the most comparable ecosystems globally and recognized sentinels of global change. The present study pursued to identify how the benthic macroinvertebrates (BMI) communities of two tropical, high mountain lakes, El Sol and La Luna, Central Mexico, have been affected by global/regional environmental pressures. We compared the environmental characteristics and the BMI communities between 2000–2001 and 2017–2018. We identified three principal environmental changes (the air and water temperature increased, the lakes’ water level declined, and the pH augmented and became more variable), and four principal ecological changes in the BMI communities [a species richness reduction (7 to 4), a composition change, and a dominant species replacement all of them in Lake El Sol, a species richness increase (2 to 4) in Lake La Luna, and a drastic reduction in density (38% and 90%) and biomass (92%) in both lakes]. The air and water temperature increased 0.5 °C, and lakes water level declined 1.5 m, all suggesting an outcome of climate change. Contrarily to the expected acidification associated with acid precipitation, both lakes deacidified, and the annual pH fluctuation augmented. The causes of the deacidification and the deleterious impacts on the BMI communities remained to be identified.


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