Trends, Periodicities and Discontinuities of Precipitation in the Huangfuchuan Watershed, Loess Plateau, China

He, Yi; Mu, Xingmin; Gao, Peng; Zhao, Guangju; Wang, Fei; Sun, Wenyi; Li, Pengfei; Song, Jinxi

doi:10.18520/cs/v111/i4/727-733

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…e Pettitt mutation test was used to analyze the mutation of annual runoff in the Yue River watershed. e M-K test was proposed by Mann [18] and has been widely used in trend analysis of climate and hydrological series [19,20]. e Pettitt mutation test [21] method is a nonparametric test method.…”

Section: Trend and Mutation Analysismentioning

confidence: 99%

Attribution Analysis of Runoff Variation in the Yue River Watershed of the Qinling Mountains

2021

Advances in Meteorology

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In recent decades, global climate change, especially human activities, has led to profound changes in the hydrological cycle and hydrological processes in watersheds. Taking the Yue River watershed in the Qinling Mountains in China as the study area, the Mann–Kendall test and Pettitt mutation test method were used to analyze the various characteristics of hydrological and climatic elements from 1960 to 2018. Then, the elastic coefficient method based on the Budyko framework was used to estimate the elastic coefficient of runoff change on each influencing factor. The results showed that the annual runoff decreased at a rate of 0.038 × 108 m3/a ( P > 0.05 ), and a significant abrupt change occurred in 1990. The annual precipitation and potential evapotranspiration (ET0) increased and decreased, with change rates of 0.614 mm/a and −0.811 mm/a ( P > 0.05 ), respectively. The elasticity coefficients of precipitation, ET0, and the underlying surface were 1.95, −0.95, and −0.85, respectively, indicating that annual runoff was most sensitive to the change in precipitation, followed by the change in ET0, and had the lowest sensitivity to the change in the underlying surface. Underlying surface change is the main factor of runoff decrease; the contribution is 89.07%. The total contribution of climate change to runoff change is 10.93%, in which the contributions of precipitation and ET0 are 17.59% and −6.66%, respectively. The NDVI reflecting underlying surface change has been increasing since 1990, which is an important reason for the runoff decrease.

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Section: Trend and Mutation Analysismentioning

confidence: 99%

Attribution Analysis of Runoff Variation in the Yue River Watershed of the Qinling Mountains

2021

Advances in Meteorology

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“…A trigonometric function was constructed to quantify the periodicity trend of emissions over long time series. And then, the non-stationary precipitation data was decomposed into three components: a trend term, periodicity trend, and random trend 53 . Similarly, a trigonometric function was constructed for the periodicity trend of precipitation data over long time series.…”

Section: Trigonometric Function Modelmentioning

confidence: 99%

Enhancing Watershed Management through Adaptive Source Apportionment under Changing Environment

Chen,

Wang,

Liu

et al. 2023

Preprint

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Source information and the related influencing variables are crucial for watershed management. However, identifying long-term changes in pollution sources and distinct patterns remains challenging. Here we explore the changing patterns of pollution sources in the Hangbu Watershed of Chaohu Lake, China, and propose an adaptive strategy. The results demonstrate significant variations in sources over the 36-year study period, with nitrogen and phosphorus increasing by 1.2 times and 2.2 times, respectively. Compared to the traditional method based on a specific year, the adaptive solutions accounted for 87.83% and 57.68% of the nitrogen and phosphorus contribution. Trends, periodicity, and mutagenicity of sources were quantified, which are influenced by the variations in rainfall, urbanization, and agriculture development. Specifically, farmland acts as a vital source that exports 90.93% of nitrogen and 58.01% of phosphorus under different conditions. Specific pollution sources with growth trends and control robustness have been recognized as vital contributors, even though their contributions to the watershed's outlets may not be the most prominent. The results of this study enhance the sustainable management of watersheds.

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Enhancing watershed management through adaptive source apportionment under a changing environment

Wang,

Liu,

Zhang

et al. 2024

npj Clean Water

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Effective watershed management hinges on understanding water sources and pollution origins. In the Hangbu Watershed of Chaohu Lake, China, we analyze pollution source patterns and propose an adaptive strategy. This adaptive strategy is defined as a flexible and dynamic approach that adjusts management practices and policies in response to evolving environmental conditions and emerging data on pollution sources. The analysis includes examining the trends, periodicity, and mutagenicity of pollution sources. The results demonstrated substantial variations in sources, with nitrogen and phosphorus. The adaptive approach enables prioritizing crucial pollution sources, with farmland identified as a significant contributor under varying conditions. Specific pollution sources with growth trends and control robustness have been recognized as vital contributors, even though their contributions to the nitrogen and phosphorus flux at the watershed outlets may not be the most prominent. The results of this study could guide the sustainable management of watersheds.

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Trends, Periodicities and Discontinuities of Precipitation in the Huangfuchuan Watershed, Loess Plateau, China

Cited by 3 publications

References 23 publications

Attribution Analysis of Runoff Variation in the Yue River Watershed of the Qinling Mountains

Attribution Analysis of Runoff Variation in the Yue River Watershed of the Qinling Mountains

Enhancing Watershed Management through Adaptive Source Apportionment under Changing Environment

Enhancing watershed management through adaptive source apportionment under a changing environment

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