Probability distribution of summer daily precipitation in the Huaihe basin of China based on Gamma distribution

Li, Liang; Liang, Zhao; Gong, Yuanfa; Tian, Fuyou; Wang, Zhi

doi:10.1007/s13351-012-0107-2

Cited by 21 publications

(11 citation statements)

References 2 publications

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“…Some distributions that are widely applied for modeling extreme events in hydrometeorological and many other fields 45 , 49 – 51 , such as the gamma, exponential, generalized extreme value (GEV), Gumbel and generalized Pareto (GP) distributions were tested to evaluate the optimal fitting distribution of precipitation events in the UYRB. The cumulative distribution function (CDF) and probability density function (PDF) of the above distributions are shown in Table 2 .…”

Section: Models and Datamentioning

confidence: 99%

Hydrological projections in the upper reaches of the Yangtze River Basin from 2020 to 2050

Huang

Xiao

Hou

et al. 2021

Sci Rep

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Understanding the impact of climate change on runoff is essential for effective water resource management and planning. In this study, the regional climate model (RCM) RegCM4.5 was used to dynamically downscale near-future climate projections from two global climate models to a 50-km horizontal resolution over the upper reaches of the Yangtze River (UYRB). Based on the bias-corrected climate projection results, the impacts of climate change on mid-twenty-first century precipitation and temperature in the UYRB were assessed. Then, through the coupling of a large-scale hydrological model with RegCM4.5, the impacts of climate change on river flows at the outlets of the UYRB were assessed. According to the projections, the eastern UYRB will tend to be warm-dry in the near-future relative to the reference period, whereas the western UYRB will tend to be warm-humid. Precipitation will decreases at a rate of 19.05–19.25 mm/10 a, and the multiyear average annual precipitation will vary between − 0.5 and 0.5 mm/day. Temperature is projected to increases significantly at a rate of 0.38–0.52 °C/10 a, and the projected multiyear average air temperature increase is approximately 1.3–1.5 ℃. The contribution of snowmelt runoff to the annual runoff in the UYBR is only approximately 4%, whereas that to the spring runoff is approximately 9.2%. Affected by climate warming, the annual average snowmelt runoff in the basin will be reduced by 36–39%, whereas the total annual runoff will be reduced by 4.1–5%, and the extreme runoff will be slightly reduced. Areas of projected decreased runoff depth are mainly concentrated in the southeast region of the basin. The decrease in precipitation is driving this decrease in the southeast, whereas the decreased runoff depth in the northwest is mainly driven by the increase in evaporation.

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Section: Models and Datamentioning

confidence: 99%

Hydrological projections in the upper reaches of the Yangtze River Basin from 2020 to 2050

Huang

Xiao

Hou

et al. 2021

Sci Rep

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“…During 1985-2014 the area of preponderant vegetation coverage in NDVI>0.6 increased by 76%, mainly in Henan Province. Precipitation has been increasing year by year around the Huaihe Basin [26]. During this period the vegetation gets enough water for growth.…”

Section: Temporal and Spatial Variation Of Land-use Evolution In The mentioning

confidence: 99%

Dynamics of Land-Use and Vegetation Change Using NDVI and Transfer Matrix: A Case Study of the Huaihe River Basin

Liu¹,

Qin²,

Girma³

et al. 2018

Pol. J. Environ. Stud.

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The Huaihe River Basin is located in-between the north-south climate transitional zone in China and is China's important congested area and production base. The land-use of the environment was occupied by the land-use for social and economics. This paper aims to have a comprehensive understanding about land-use and vegetation evolution of the basin over the past 30 years. In view of 5 years (1985, 1990, 2000, 2005, and 2014) land-use data and remote sensing data about NDVI, land-use dynamic degree, and land-use transfer matrix were used to analyze the dynamics of land use. Spatial overlay was used to study vegetation change characteristics of the basin. The present study investigates the evolution trend of vegetation coverage based on spatial overlay analysis. We found that water bodies and urban lands of the basin increased during 1985-2014. On the other hand, the area of artificial vegetation, natural vegetation, and wetland were reduced. The impact was gradually increased by human intervention on various land use types. Overall vegetation coverage level shows deteriorative development, and distribution areas were discrete. The excellent vegetation coverage of natural vegetation and wetland didn't have obvious changes, but the high coverage significantly decreased. Taken as a whole, the natural vegetation coverage was reduced. The vegetation coverage level of artificial water in the land-use for social and economics had greatly increased, but the overall trend of vegetation coverage level of artificial vegetation and resident construction land showed a decreasing trend.

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“…Liang et al [20] suggest that most areas along the main stream of the HRB have a high probability of large precipitation under the condition that the rainy day has a dry preceding day. Xia et al [21] pointed out that positive trend of annual maximum precipitation is detected at most of used stations of the HRB and that annual maximum precipitation series can be better fitted by GEV model.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variability and Trends of Extreme Precipitation in the Huaihe River Basin, a Climatic Transitional Zone in East China

2017

Advances in Meteorology

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Precipitation data from 30 stations in the Huaihe River basin (HRB), a climatic transitional zone in east China, were used to investigate the spatiotemporal variability and trends of extreme precipitation on multitimescales for the period 1961–2010. Results indicated that (1) the spatial pattern of the annual precipitation, rainy days, extreme precipitation, and maximum daily precipitations shows a clear transitional change from the south (high) to the north (low) in the HR; it confirmed the conclusion that the HRB is located in the transitional zone of the 800 mm precipitation contour in China, where the 800 mm precipitation contour is considered as the geographical boundary of the south and the north. (2) Higher value of the extreme precipitation intensity mainly occurs in the middle of the east and the central part of the basin; it reveals a relatively distinct west-east spatial disparity, and this is not in line with the spatial pattern of the extreme precipitation total, the sum of the precipitation in 95th precipitation days. (3) Annual precipitation of 22 stations exhibits increasing trend, and these 22 stations are located from the central to the northern part. There is no significant trend detected for the seasonal precipitation. The summer precipitation exhibits a larger change range; this might cause the variation of the flood and drought in the HBR. However, the increasing trend in winter precipitation may be beneficial to the relief of winter agricultural drought. Rainy days in 12 stations, mostly located in and around the central northeastern part, experienced significant decreasing trend. Extreme precipitation days and precipitation intensity have increasing trends, but no station with significant change trend is detected for the maximum precipitation of the basin. (4) The spatiotemporal variability in the HRB is mainly caused by the geographic differences and is largely influenced by the interdecadal variations of East Asian Summer Monsoon in eastern China. The output of this paper could provide references for the practical decision making and integrated basin management of Huaihe River basin.

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Probability distribution of summer daily precipitation in the Huaihe basin of China based on Gamma distribution

Cited by 21 publications

References 2 publications

Hydrological projections in the upper reaches of the Yangtze River Basin from 2020 to 2050

Hydrological projections in the upper reaches of the Yangtze River Basin from 2020 to 2050

Dynamics of Land-Use and Vegetation Change Using NDVI and Transfer Matrix: A Case Study of the Huaihe River Basin

Spatiotemporal Variability and Trends of Extreme Precipitation in the Huaihe River Basin, a Climatic Transitional Zone in East China

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