Temporal characteristics detection and attribution analysis of hydrological time-series variation in the seagoing river of southern China under environmental change

Chen, Lihua; Wang, Yan; Touati, Billel; Guan, Haopeng; Gang, Leng; Liu, Weifu; Shu-ting, LV; Huang, Shuping; Pan, Zihao

doi:10.1007/s11600-018-0198-y

Cited by 16 publications

(10 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the Mann-Kendall method only has good performance in detecting the trend and change point of the mean value time series; to enhance the reliability of the results, this study adopts the sliding t-test method as an auxiliary method, which can detect the change point by testing whether the difference between the mean values of two samples is significant. Specifically, in the case that the Mann-Kendall test results are not significant, it is necessary to use the sliding t-test method to test the change point (Coron et al, 2012;Chen et al, 2018;Wang X et al, 2018).…”

Section: Trend Test and Change Point Test Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of Climate Change and Land Use/Cover Change on Regional Hydrological Processes: Case of the Guangdong-Hong Kong-Macao Greater Bay Area

Tan

Liu

Tian

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Climate change and land use/cover change (LUCC) have been widely recognized as the main driving forces that can affect regional hydrological processes, and quantitative assessment of their impacts is of great importance for the sustainable development of regional ecosystems, land use planning and water resources management. This study investigates the impacts of climate change and LUCC on variables such as streamflow (SF), soil moisture (SM) and evapotranspiration (ET) in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by using Soil and Water Assessment Tools (SWAT) model under different scenarios during 1979–2018. The results show that the simulation performances were overall good, with Nash-Sutcliffe Efficiency Coefficient (NSE) and coefficient of determination (R2) greater than 0.80 for the monthly-scale SF calibration and validation. According to the results of trend and change point tests of meteorological series, the baseline period (1979–1997) and the interference period (1998–2018) were determined. Interestingly, other land use types were basically converted to urban land, leading to a rapid urbanization in the GBA. Compared with the SF values of the eight estuaries of the Pearl River Basin in the baseline period, both climate change and LUCC has led to the decrease in the SF values in the interference period, and the combined effect of climate change and LUCC was slightly greater than their individual effect. Overall, climate change and LUCC both have important impacts on regional hydrological processes in the GBA.

show abstract

Section: Trend Test and Change Point Test Methodsmentioning

confidence: 99%

“…, n − (n 1 + n 2 ) + 1) is obtained. Given the significance level α, if |t i | < t α , the two subseries means before and after the reference point are considered not significantly different, otherwise, it indicates that there is a change point (Coron et al, 2012;Chen et al, 2018;Wang X et al, 2018).…”

Section: Trend Test and Change Point Test Methodsmentioning

confidence: 99%

Impacts of Climate Change and Land Use/Cover Change on Regional Hydrological Processes: Case of the Guangdong-Hong Kong-Macao Greater Bay Area

Tan

Liu

Tian

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Wavelet analysis offers the possibility to better study time series problems, which can clearly reveal the multiple change cycles hidden in the time series, fully reflects the changing trend of the system in different time scales, and makes a qualitative estimation of the future development trend of the system. Although the continuous wavelet of the Morlet function was previously in the field of communication, it has been widely used in hydrological climate research with the interdisciplinary development [33]:…”

Section: Continuous Wavelet Analysismentioning

confidence: 99%

Impacts of Climatic Change on Reference Crop Evapotranspiration across Different Climatic Zones of Ningxia at Multi-Time Scales from 1957 to 2018

Zhao

Wang

et al. 2020

Advances in Meteorology

View full text Add to dashboard Cite

The impact of global climate change on agroecosystems is growing, affecting reference crop evapotranspiration (ET0) and subsequent agricultural water management. In this study, the climate factors temporal trends, the spatiotemporal variation, and the climate driving factors of ET0 at different time scales were evaluated across the Northern Yellow River Irrigation Area (NYR), Central Arid Zone (CAZ), and Southern Mountain Area (SMA) of Ningxia based on 20 climatic stations’ daily data from 1957 to 2018. The results showed that the Tmean (daily mean air temperature), Tmax (daily maximum air temperature), and Tmin (daily minimum air temperature) all had increased significantly over the past 62 years, whilst RH (relative humidity), U2 (wind speed at 2 m height), and SD (sunshine duration) had significantly decreasing trends across all climatic zones. At monthly scale, the ET0 was mainly concentrated from April to September. And at annual and seasonal scales, the overall increasing trends were more pronounced in NX, NYR, and SMA, while CAZ was the opposite. For the spatial distribution, ET0 presented a trend of rising first and then falling at all time scales. The abrupt change point for climatic factors and ET0 series was obtained at approximately 1990 across all climatic zones, and the ET0 had a long period of 25a and a short period of 10a at annual scale, while it was 15a and 5a at seasonal scale. RH and Tmax were the most sensitive climatic factors at the annual and seasonal scales, while the largest contribution rates were Tmax and SD. This study not only is important for the understanding of ET0 changes but also provides the preliminary and elementary reference for agriculture water management in Ningxia.

show abstract

“…However, Qinzhou is located on the southwest coast of Guangxi and has a subtropical marine monsoon climate with an average annual rainfall of 2,026.3 m 3 . Due to the lack of large-scale water storage projects in the upper reaches, Qinzhou can be characterized as a water shortage area from an engineering perspective which is obviously different from those water shortage areas which experience a lack of water resources (Chen et al, 2018a).…”

Section: Introductionmentioning

confidence: 99%

“…Qinzhou is divided into five administrative divisions (Figure 2): Qinnan, Qinbei, Qingang, Lingshan, and Pubei. There are 388 water storage projects with a total storage capacity of 80,002 Â 10 4 m 3 , in which the total annual designed water supply capacity is 80,829 Â 10 4 m 3 (Chen et al, 2018a). In 2014, Qinzhou consumed 15.16 Â 10 8 m 3 water in total, WUPCIAV was 65 m 3 , IE was 0.456, and the water qualification rate of the water function zone was 66% (Qinzhou Water Conservancy Bureau, 2014).…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal allocation of water resources based on ‘three red lines’ in Qinzhou, China

et al. 2020

Self Cite

View full text Add to dashboard Cite

Water shortages and pollution emerge because of anthropogenic demands. Since 2011, ‘China's Most Stringent Water Resources Management’ (CMSWRM) has been comprehensively enacted in the country. This paper presents the characteristics of the ‘three red lines’ (TRL) and a multi-objective optimal allocation model based on the TRL constraint, considering the benefits for society, the economy, and the environment. This model had been applied to the reasonable allocation of water supply and demand in Qinzhou for the planning years of 2020 and 2030. Two water resource allocation scenarios for these years were configured by setting different chemical oxygen demand (COD) concentrations for wastewater discharge in the municipal, secondary, tertiary, and agricultural sectors. The gamultiobj function based on the NSGA-II algorithm was used to solve the model in MATLAB. The results indicate that if COD concentrations in each sector are not reduced, then restrictions on domestic water sources will be necessary, both in 2020 and 2030. The two water resource allocation scenarios in 2020 and 2030 can provide a reference for decision-makers in Qinzhou to implement CMSWRM.

show abstract

Temporal characteristics detection and attribution analysis of hydrological time-series variation in the seagoing river of southern China under environmental change

Cited by 16 publications

References 80 publications

Impacts of Climate Change and Land Use/Cover Change on Regional Hydrological Processes: Case of the Guangdong-Hong Kong-Macao Greater Bay Area

Impacts of Climate Change and Land Use/Cover Change on Regional Hydrological Processes: Case of the Guangdong-Hong Kong-Macao Greater Bay Area

Impacts of Climatic Change on Reference Crop Evapotranspiration across Different Climatic Zones of Ningxia at Multi-Time Scales from 1957 to 2018

Multi-objective optimal allocation of water resources based on ‘three red lines’ in Qinzhou, China

Contact Info

Product

Resources

About