Analysis on Variation Characteristics of Precipitation Time Series in Weihe River Basin during the Past 55 Years

Wang, Shuai; Lei, Xiao Hui; Zhang, Feng

doi:10.4028/www.scientific.net/amr.684.246

Cited by 7 publications

(3 citation statements)

References 3 publications

(3 reference statements)

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“…The result of annual rainfall was summarized in Figure 2; rainfall distribution from southeast to the northwest was decreased significantly like the previous study from Zhi et al [34]. Notably, the result indicated the Baoji area was similar in the heaviest annual rainfall to the previous research [35] [36]. Under the same condition frequency 5%, 10%, and 20% of precipitation of the whole growing period, the spatial distribution interpolation maps of rainwater excess and shortage at seven growth stages were analyzed.…”

Section: Discussionsupporting

confidence: 72%

Study on the Effects of Extreme Precipitation for Seven Growth Stages of Winter Wheat in Northern Weihe Loess Plateau, China

Sereyrorth¹,

Yan²,

Chunpanha³

et al. 2020

JWARP

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The research on the characteristic frequency of precipitation is a great significance for guiding regional agricultural planning, water conservancy project designs, and drought and flood control. Droughts and floods occurred in northern Weihe Loess Plateau, affecting growing and yield of winter wheat in the area. Based on the daily precipitation data of 29 meteorological stations from 1981 to 2012, this study is to address the analysis of three different frequencies of annual precipitation at 5%, 50%, and 95%, and to determine the amount of rainfall excess and water shortage during seven growth stages of winter wheat at 5%, 10%, and 20% frequencies, respectively. Pearson type III curve was selected for this study to analyze the distribution frequency of annual rainfall and rainfall amount following seven growth stages of winter wheat crop in 29 stations of Northern Weihe loess plateau. As a result of our study, annual precipitation is gradually increasing from southwest to northeast of Northern Weihe loess plateau. The highest amount of annual precipitation occurred in the Baoji area and the lowest precipitation covered by the northwest area of Northern Weihe loess plateau. Moreover, the amount of rainfall of seven growth stages indicates that excessive rainfall occurs not only in the first stage (sowing to tillering) and seventh stage (flowering to ripening) but also in second stage (tillering to wintering). In the seventh stage, a large amount of excessive rainfall occurred in Changwu, Bin, Qianyang, Fengxiang, Baojiqu, and Baojixian. Moreover, water shortage is distributed in the third stage (from wintering to greening), the fourth stage (from greening to jointing), the fifth stage (from jointing to heading), and the sixth stage (from heading to flowering). Furthermore, the worst water shortages occurred in Hancheng, Heyang, Chengcheng, Pucheng, Dali, Tongchuan, and Fuping in the fourth stage (greening to jointing stage). Even though we study How to cite this paper: Sereyrorth, O.,

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Section: Discussionsupporting

confidence: 72%

Study on the Effects of Extreme Precipitation for Seven Growth Stages of Winter Wheat in Northern Weihe Loess Plateau, China

Sereyrorth¹,

Yan²,

Chunpanha³

et al. 2020

JWARP

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“…The relative humidity is an important physical quantity that characterizes air humidity, which indicates the degree of saturation of water vapor in the air [31]. The change of relative humidity is comprehensively affected by various conditions such as circulation form, cloud cover, precipitation, wind, and topographic factors [32].…”

Section: Discussionmentioning

confidence: 99%

Association between the Classification of the Genus of Batrachospermaceae (Rhodophyta) and the Environmental Factors Based on Machine Learning

Yang

Nan

et al. 2022

Plants

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Batrachospermaceae is the largest family of freshwater red algae, widely distributed around the world, and plays an important role in maintaining the balance of spring and creek ecosystems. The deterioration of the current global ecological environment has also destroyed the habitat of Batrachospermaceae. The research on the environmental factors of Batrachospermaceae and the accurate classification of the genus is necessary for the protection, restoration, excavation, and utilization of Batrachospermaceae resources. In this paper, the database of geographical distribution and environmental factors of Batrachospermaceae was sorted out, and the relationship between the classification of genus and environmental factors in Batrachospermaceae was analyzed based on two machine learning methods, random forest and XGBoost. The result shows: (1) The models constructed by the two machine learning methods can effectively distinguish the genus of Batrachospermaceae based on environmental factors; (2) The overall AUC score of the random forest model for the classification and prediction of the genus of Batrachospermaceae reached 90.41%, and the overall AUC score of the taxonomic prediction of each genus of Batrachospermaceae reached 85.85%; (3) Combining the two methods, it is believed that the environmental factors that affect the distinction of the genus of Batrachospermaceae are mainly altitude, average relative humidity, average temperature, and minimum temperature, among which altitude has the greatest influence. The results can further clarify the taxonomy of the genus in Batrachospermaceae and enrich the research on the differences in environmental factors of Batrachospermaceae.

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“…Wavelet analysis inherits and develops an idea of the short-time Fourier transform. It shows a sliding window changed with frequency to the perform time-frequency localization of cycles [32], which is an excellent tool for cycle analysis [33][34][35][36]. The Morlet wavelet analysis provides a good balance between the temporal domain and frequency domain as a particular wavelet and accurately identifies the cycles of time series [37].…”

Section: Morlet Wavelet Analysismentioning

confidence: 99%

Prospects of Precipitation Based on Reconstruction over the Last 2000 Years in the Qilian Mountains

Zhen

et al. 2022

Sustainability

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The prospect of precipitation is of great significance to the distribution of industry and agriculture in Northwest China. The cycle characteristics of temperature and precipitation in the Qilian Mountains were identified by complex Morlet wavelet analysis and were simulated with sine functions. The results indicate that the main cycle of 200 years modulates the variations of temperature and precipitation over the past 2000 years and that cycle simulations fluctuate around the long-term trend. The temperature in the Qilian Mountains exhibits an obvious upward trend during the period 1570–1990 AD, while the precipitation trend shows a slight increase. The “wet-island” moisture pattern of the Qilian Mountains may be responsible for this. The moisture of the Qilian Mountains is principally sourced from the evapotranspiration of adjacent arid and semi-arid areas and is controlled by regional climate. The precipitation is close to the relative maximum and is at the positive phase of main cycle. It may not be beyond 400 mm in the next 200-year cycle, and the increment of precipitation might result from regional climate change.

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Analysis on Variation Characteristics of Precipitation Time Series in Weihe River Basin during the Past 55 Years

Cited by 7 publications

References 3 publications

Study on the Effects of Extreme Precipitation for Seven Growth Stages of Winter Wheat in Northern Weihe Loess Plateau, China

Study on the Effects of Extreme Precipitation for Seven Growth Stages of Winter Wheat in Northern Weihe Loess Plateau, China

Association between the Classification of the Genus of Batrachospermaceae (Rhodophyta) and the Environmental Factors Based on Machine Learning

Prospects of Precipitation Based on Reconstruction over the Last 2000 Years in the Qilian Mountains

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