1. Introduction
The Haihe River is the largest river in North China. Beijing, the capital of China, and Tianjin, a municipality directly under the central government, are both located in the river basin. Encompassing a total population of around 124 million, the Haihe River basin has the highest population density in the world but the lowest per capita water resources in China [
1]. Intensive human intervention, excessive water resource exploitation and the severe impact of climate change in recent decades, have led to notable changes in the amount, quality and distribution of surface and underground water resources amidst the basin. The ever-increasing unbalance between supply and demand of water resources has become a key issue in the sustainable development of economy and society in the river basin. Accordingly, comprehensive knowledge on the spatial-temporal precipitation distribution and its causes has been of great importance for understanding the dynamic variation of runoff and groundwater, and for rationally planning and effectively managing the water resources in the basin.
The Haihe River basin has a semi-humid and semi-arid continental climate. As a river in the temperate East Asian Monsoon, more than 80% of its annual precipitation occurs from May to September. Affected by the terrain of North China, the high-rainfall belt stretches from northeast to southwest, roughly along the Yanshan and Taihang Mountains. There exist three rainstorm centers in the basin, located near Tangshan, the west of Baoding, and near Jinan, respectively [
2,
3]. The precipitation in summer is usually concentrated in several heavy rainfall occurrences, which endows the floods in the basin with the characteristics of a high peak value, a steep peak type and a large one-time volume [
4]. The climatic factors dominating the summer rainfalls are extremely complicated [
5]. On the one hand, the basin is located in the northern rim of summer monsoon activities, which enables the monsoon weather systems to influence the precipitation in the flood season [
6,
7]; On the other hand, it is also affected by the westerly circulation system at mid-high latitudes [
2,
8,
9]. These factors lead to uneven spatial and temporal precipitation in the basin, aggravating the difficulty and uncertainty of water resources exploitation.
Plenty of researches have been conducted on the summer rainfalls in the Haihe River basin and North China. Ren et al. (2015) reported that the annual and summer precipitation in the Haihe River basin experienced a significant downward trend in the past 50 years. Since the mid-late 1970s, the annual precipitation in North China, including the Haihe River basin, has been further declining [
10,
11,
12], with the abrupt decline in the rainy season rainfall after 1979 particularly significant [
11]. Liu and Ding [
3,
13] showed that there existed a decadal shift from high to low precipitation in North China around 1978. Hao et al. [
14] found that the decreased precipitation in North China in the past 50 years was mainly due to the weakening of summer rainstorms.
With the establishment of the automatic weather station network and the accumulation of hourly precipitation data for years, attention has been paid to the fine resolution structures of precipitation [
15,
16]. Yu et al. [
17] revealed that summer rainfalls in mainland China exhibit a remarkable spatial pattern of diurnal variations. In eastern China, for example, the peaks of precipitation mostly occur at around 17:00 and in early morning respectively. The diurnal variation of rainy season precipitation in central and eastern China shows a clear intra-seasonal evolution along with the north-south movement of the monsoon rain belt [
18]. Zhou et al. [
19] and Yuan et al. [
20] analyzed the diurnal variation of summer rainfalls in the Huaihe River which is located between the Haihe River and the Yangtze River, concluding that there have existed two peaks, one before dawn and the other in the evening. Han et al. [
21] adopted the satellite retrieved hourly precipitation data to analyze the diurnal variation of summer rainfalls in North China, and they found that the precipitation peaked late at night in the northern North China Plain, but in the morning in the central and southern parts of the plain.
Therefore, the long-term variations of precipitation and extreme rainfalls have been studied extensively in the past two decades, and the spatial-temporal precipitation distributions of summer rainfalls on different temporal scales have been examined as well. However, in-depth knowledge on diurnal precipitation variations, as well as on the more detailed spatial pattern and the relevant causes of seasonal and diurnal rainfall variations, has been far from enough considering that the adopted data in the previous works are relatively sparse in spatial distribution and coarse in temporal resolution.
In this paper, the high-density hourly precipitation observation data, which have been developed recently by the China Meteorological Administration, are used for the first time to analyze the refined spatial-temporal structure of precipitation with different durations in the Haihe River basin. The analysis reveals several novel features of precipitation in the basin, which is expected to lend support to a scientific understanding of the dynamic variations of atmospheric precipitation, surface and underground water resources in the region severely short of water.
2. Data and Methods
The Haihe River basin is located between 112–120° E and 35–43° N (
Figure 1), with a total area of 318,000 square kilometers. As one of the seven largest rivers in China, its basin covers Tianjin, Beijing, most parts of the Hebei province, as well as parts of the Henan province, Shandong province, Shanxi province and Inner Mongolia. The basin is bound to the north by the east-to-west Yanshan Mountains, and to the west by the north-to-south Taihang Mountains. Inside the basin, 60% of its surface is covered by mountains and plateaus, while the other 40% is covered by plains. The basin contains nine tributaries: the Luanhe River, the Beisan River, the Yongding River, the Daqing River, the Ziya River, the Zhangwei River, the Nanyun River, the Tuhai-majia River and the lower reach of the Haihe River.
The data used in this paper are the hourly precipitation observation data in the rainy season (May-September) during 2007–2017 from 249 meteorological stations in the Haihe River basin. The data are from the National Meteorological Information Center (NMIC), China Meteorological Administration (CMA). Quality control has been done for precipitation by the NMIC. A denser distribution of precipitation stations can be seen in the plain regions and the mountainous regions have relatively sparser observations (
Figure 1).
In this research, a precipitation hour refers to an hour with precipitation greater than 0.1 mm. Referring to previous studies [
22,
23], the length of the precipitation intermittence, as the boundary between two rainfall occurrences, is set to 2 h. That is to say, when no rainfall occurs for two consecutive hours during a precipitation process, the process is judged to be terminated. In this case, discontinuous non-precipitation intervals might exist in a precipitation event. According to different durations, all of the precipitation events for any station are classified into four types in this work: short-duration precipitation (1–3 h), medium-duration precipitation (4–6 h), long-duration precipitation (6–12 h) and continuous precipitation (over 12 h).
The analysis of diurnal variation uses Beijing local time at 120° E. The intra-seasonal variation of rainfall during the rainy season is analyzed by applying the pentad mean rainfall for the period 2007–2017. Each month is thus divided into six pentads, with each of them being 5 days or six days (the last pentad of the months with 31 days) except for February that generally has three days or four days in the last pentad. A simple arithmetic average is made for the whole basin and its tributaries when calculating the areal means of precipitation amount and frequency on different time scales, by considering the relatively even distribution of the observational sites in the study region. In order to examine the possible influence of urbanization on precipitation, we classify the urban stations into three categories: large cities with a population over 5 million, medium-sized cities with a population 0.5–2 million and small cities with a population 0.1–0.5 million. All other observational sites are regarded as rural stations.
3. Results
3.1. Warm-Season Precipitation Distribution
During 2007–2017, the rainy season precipitation averaged around 443.0 mm in the Haihe River basin. Among the tributaries, the Yongding River suffered the lowest precipitation of 337.3 mm while the Tuma River, in the south of the basin, had the highest precipitation of 486.8 mm. The average precipitation in the Luanhe River, the Beisan River and the lower reach of the Haihe River stands at around 470 mm. For other tributaries, the precipitation ranges between 400 mm and 450 mm. In spatial distribution (
Figure 2), there exist two high-rainfall zones and two low-rainfall zones, with the precipitation taking on the “high-low-high-low” pattern from southeast to northwest. The precipitation in the Tuma River downstream, in the south of the basin, stays above 520 mm. The central plain receives low rainfalls of 460 mm or below, especially the Ziya River downstream where the precipitation is only 340–400 mm. The windward (south) slope of the Yanshan Mountains sees high warm-season precipitation (460–560 mm on average); in this zone, the average precipitation in the Beisan River downstream and the Luanhe River downstream stays high at 520 mm or above. When it comes to the north of the basin, the precipitation of the plateaus stays below 400 mm on average, with the lowest value hitting 270 mm. On the windward (east) slope of the Taihang Mountains, there also exists a zone with precipitation surpassing 460 mm.
3.2. Monthly Precipitation Pattern
Figure 3 shows the spatial distribution of the monthly average precipitation during warm-season in the Haihe River basin. A visible difference can be found for the months.
In May, the precipitation averages 36.8 mm, accounting for 8.3% of the total precipitation in the rainy season. During this month, the Zhangwei River and the Tuma River in the south, as well as the Luanhe River in the northeast, are covered in the high-rainfall belt, suffering an average precipitation of over 40 mm; while the Daqing River in the central basin is the zone with the lowest precipitation of 28.6 mm. In June, the average precipitation climbed to 74.9 mm, almost twice than that in May. In this month, rainfalls are high in the northeast while low in the southwest. The Luanhe River and the Beisan River in the north become the high-rainfall zones, with the average precipitation exceeding 90 mm; while the Yongding River, the Ziya River and the Zhangwei River are the low-rainfall zones, with the average precipitation ranging between 59 mm and 65 mm.
The precipitation is at 152.8 mm in July, over twice as much as in June. It accounts for 34.5% of the total precipitation in the rainy season. As for the spatial distribution, the precipitation in July indicates a “high-low-high-low” trend from south to north, similar to the pattern of the accumulative precipitation in the rainy season. The precipitation in the northern mountains and plateaus stays below 120 mm. The central plain is also covered by a low-rainfall zone in this month. When it comes to August, the precipitation edges lower at 116.2 mm, relatively high in the south while low in the north. The Tuma River, a high-rainfall zone in this month, has a level of precipitation of around 150 mm. The precipitation in the plain is estimated at 100–150 mm, and that in the mountainous area at 100 mm or below. As to September, the precipitation drops by around 80% from August. The spatial distribution is similar to that of June, except for the high-rainfall center which now moves to the northern Taihang Mountains. The Taihang Mountains and Yanshan Mountains become the high-rainfall zones while the southeastern part registers low rainfall, which is the opposite of August.
3.3. Diurnal Precipitation Variations
Figure 4 shows the diurnal variations of the average precipitation in the rainy season during 2007–2017 in the Haihe River basin. The diurnal variation curve has two peaks and a valley. The peak period takes place in the evening (17:00–21:00 h), with the hourly mean precipitation surpassing 21 mm. The maximum value, occurring at 19:00 h, is recorded at 21.9 mm. The other peak occurs at 2:00 h when the hourly mean precipitation reads 20.2 mm. The rainfall descends in the daytime (9:00–15:00 h), with the lowest precipitation occurring at noon (11:00–13:00 h). At 12:00 h, the hourly mean precipitation hits its low at 13.3 mm.
Further analysis of the diurnal peak in each branch system shows that the occurrence periods vary greatly due to the difference in geographical location and topographic conditions (
Figure 5). The precipitation in the Luanhe River, the Yongding River, the Beisan River, the Ziya River and the Zhangwei River increases during 15:00–17:00 h. The peak occurs during 21:00–23:00 h in the Beisan River, and other tributaries have the diurnal precipitation peak during 18:00–20:00 h.
The diurnal precipitation in the lower reach of the Haihe River, the Nanyun River, and the Tuma River has two peaks, one at night and the other in the afternoon. The peak value at night is greater than that in the afternoon. Both the Nanyun River and the Tuma River reach an evening peak at 18:00–20:00 h; while the lower reach of the Haihe River encounters the afternoon peak at 15:00–17:00 h. As for night time, the peak in the lower reach of the Haihe River occurs at 0:00–2:00 h; while the peak in the Nanyun River and the Tuma River appears at 3:00–5:00 h.
3.4. The Pentad Mean Precipitation Feature
Figure 6 shows the pentad mean precipitation variations during 2007–2017 in the Haihe River basin. The pentad mean precipitation during the summer could be divided into five periods. From May to the fourth pentad of June, the hourly mean precipitation stays low at 0.1–5 mm. The diurnal precipitation, high at night but low in the daytime, mostly occurs at 16:00–20:00 h but seldom appears between 5:00–15:00 h (especially at noon) during this period. During the fifth pentad of June and the third pentad of July, the hourly mean precipitation climbs from the previous period to as high as 5–10 mm. During this period, the diurnal peak appears at 18:00–21:00 h. The major flood season of the Haihe River arrives at the period from the fourth pentad of July to the second pentad of August, or from late July to early August. In this period, the hourly mean precipitation stays high at 10–20 mm. The diurnal peak and sub-peak reach at 17:00–22:00 h and 0:00–7:00 h respectively, with the hourly mean precipitation averaging around 15 mm. Later from the third pentad of August to the second pentad of September comes the post-flood season of the study region. In this period, the hourly mean precipitation slides to 5–10 mm. The precipitation mainly occurs at night and peaks at 0:00–8:00 h. During the third pentad and the sixth pentad of September, the hourly mean precipitation further drops to 0–5 mm. The night time in this period sees most of the rainfalls. It could be concluded that fewer rainfalls come in the daytime (9:00–15:00 h) for all the five periods, although the peaks vary.
The seasonal precipitation of each tributary is featured with a single peak in the diurnal variation. July has the highest precipitation of the rainy season, followed by August, and May witnesses the lowest precipitation. The tributaries share a similar diurnal variation pattern (
Figure 7). During the first pentad of May and second pentad of July, the diurnal precipitation of each branch reaches a single peak, with most rainfall coming in the afternoon or at night. From the third pentad of July till the fourth pentad of August (major flood season), the peak of the hourly mean precipitation occurs before dawn in the Luanhe River, the Beisan River, the Nanyun River, the Zhangwei River, the Tuma River and the lower reach of the Haihe River. As for the Beisan River, the Yongding River, the Daqing River and the Ziya River in the mountainous areas, the peak appears in the afternoon or at night. The lower reach of the Haihe River, the Nanyun River and the Tuma River also witness high rainfalls for one hour in the afternoon.
3.5. Duration-Based Precipitation Features
The precipitation events are classified into four types of short-duration (1–3 h), medium-duration (4–6 h), long-duration (6–12 h) and continuous precipitation (over 12 h).
Figure 8 shows that the diurnal peaks of the short-duration and medium-duration precipitation appear at around 18:00 h and 22:00 h, respectively, and the peaks of the long-term duration and continuous precipitation appear before dawn.
Figure 9,
Figure 10 and
Figure 11 show the spatial distribution of the warm-season mean precipitation frequency, amount and contribution for different duration precipitation events in the Haihe River basin during 2007–2017.
In the whole basin, the short-duration precipitation has the highest frequency, with an average of 20 to 45 occurrences per year. The short-duration precipitation in the northwest has more occurrences than that in the plain areas. The annual occurrence of short-duration precipitation in the plain areas is below 30 times, while that in the mountainous areas generally exceeds 30 times on average. In the upper reaches of the Luanhe River and the Beisan River, most parts of the Ziya River, as well as borders between the Daqing River and the Yongding River, the warm-season mean occurrence of short-duration precipitation reaches above 40 times (
Figure 9a). The probability of short-duration rainfalls in these areas is relatively large from afternoon to early evening (
Figure 5). The accumulative amount of short-duration precipitation in the mountainous areas lingers even at the range of 60 to 90 mm (
Figure 10a), contributing to around 30% of the total rainfalls in the rainy season (
Figure 11a).
The occurrence of medium-duration precipitation during the rainy season is 6 to 12 times on average. Specifically, it happens for more than 10 times in the east of the Taihang Mountains and the lower reach of the Luanhe River, and for 8 to 10 times in other areas (
Figure 9b). The medium-duration precipitation is high in the east but low in the west. The mean precipitation amount in the lower reach of the Luanhe River surpasses 120 mm, contributing around 25% to rainy season rainfalls. This corresponds to the high-value area of the precipitation frequency. Though the precipitation frequency stays high in the east of the Taihang Mountains, the accumulative precipitation amount remains low with a contribution rate below 20% (
Figure 10b and
Figure 11b).
The long-duration precipitation and continuous precipitation in the Haihe River basin occur less frequently, with annual mean frequencies of 6.1 times and 3.1 times, respectively. However, the spatial distribution of the two categories is quite different. The highly-frequent occurrences of long-duration precipitation are found in the windward slope of the Yanshan Mountains, the Tuma River and parts of the Nanyun River (
Figure 9c); while continuous precipitation mainly occurs in the Taihang Mountains and its eastern slope, as well as the lower reach of the Luanhe River (
Figure 9d). The high-value areas of the warm-season mean precipitation amount are basically compliant with the precipitation frequency. Specifically, the high-value areas of long-duration precipitation cover the eastern part of the basin (
Figure 10c), with a contribution at around 30% (
Figure 11c); those of continuous precipitation include the Taihang Mountains and the west of the Yanshan Mountains’ windward slope, with a contribution rate staying above 30%.
Above all, the short-duration precipitation contributes significantly to the total rainfalls in the northern mountainous areas (
Figure 11a); while in the plain areas, the long-duration precipitation contributes more (
Figure 11c). The high-value areas of continuous precipitation lie in the Taihang Mountains and its east slope. On average, the long-duration and continuous precipitation amounts contribute more to rainy season rainfalls than the short-duration precipitation, indicating that the continuous precipitation caused by the large-scale circulation of the East Asian summer monsoon has a greater impact on the precipitation in the Haihe River basin.
4. Possible Impacts from Urbanization
The basin has 10 large cities of over 5.0 million residents, 27 medium-sized cities of 0.5–2.0 million residents, as well as 21 small cities of over 0.1–0.5 million residents. All other stations are regarded as non-city stations. Due to the much larger number of the non-city stations, and also the obviously different altitudes and environments from those of the city stations, only the differences of precipitation among the different categories of cities are compared here.
Figure 12 shows that the mean precipitation in the rainy season is the lowest in the small cities, and that in the large cities is slightly higher compared with the medium-sized cities. From the perspective of the pentad mean precipitation, the three categories of cities share little difference in precipitation in May, June and September when the precipitation is low. During July and August, however, the pentad mean precipitation of large cities is larger than those of medium-sized cities and small cities, indicating that larger rainfalls are more likely to occur in large cities during the rainiest months of a year.
Overall, the annual total precipitation during the 11 years is 49.8 mm or 12% higher at the large city stations than that at the small city stations, and 33.8 mm or 8% higher at the medium-sized city stations than that at the small city stations (
Table 1). The city stations are located at approximately similar elevations, with the large city station slightly lower than the medium-sized city stations, and 300 m lower than the small city stations (
Table 1). Therefore, the possible effect of altitude on the precipitation difference between large city and medium-sized city stations can be ruled out due to having almost the same altitudes, but the precipitation differences of small city stations from those of large city and medium-sized city stations would be, to some extent, affected by the altitude difference.
Figure 13 shows the relationship between warm-season precipitation of all the non-city stations and their altitudes. A weak but significant negative correlation is notable and unexpected, and the decreasing rate of precipitation with altitude in the whole river basin is −7.9 mm/100 m. This relationship between precipitation and altitude could be regarded as the background lapse of rainfall in the basin. Considering this influence of altitude, however, the warm-season precipitation at large city stations (459.9 − 24.4 = 435.5 mm) is still obviously higher (6.2%) than that at the small city stations at the same altitude, and the precipitation at the medium-sized stations is marginally higher (2.5%) than that of the small city stations.
Therefore, the warm-season precipitation at the large and medium city stations shows a notable difference from that of the small city stations, and this may have been related to the influence of urbanization on the thermal and dynamical processes of lower troposphere over the urban areas during the rainiest months of summertime.
5. Discussion
This paper has made a detailed examination of rainfall in the rainy season over the Haihe Basin, based on a high-density precipitation observational network as developed in the last decade. The work reveals a couple of interesting phenomena, and they are partially consistent with the previous analyses, but some of the phenomena are unique and worth a discussion and further investigation.
5.1. Spatial and Intra-Seasonal Variations
It could be seen that the distribution of rainy season rainfalls (
Figure 2) is mainly affected by topography and prevailing winds in the Haihe River basin. In cases where easterly winds and southerly winds prevail, rainfalls are much likelier to occur on the windward slopes of the mountains due to forced uplifts by topography [
24,
25]. The highest-rainfall zone in the basin is found on the windward slope of the Yanshan Mountains, with the rainy season precipitation exceeding 520 mm on average. Within this zone, the average warm-season precipitation in Qinglong station has even reached 591 mm.
Regarding the summer rainfall and its intra-seasonal variation in the river basin (
Figure 2 and
Figure 3), previous studies showed that they are mainly affected by the East Asian summer monsoon. The location change of the West Pacific Subtropical High (WPSH) ridge in summer directly affects the distribution of water vapor transport flux in this basin. There are three water vapor transport channels influencing the summer rainfalls. The first one flows from the Indian Ocean and the Bay of Bengal, passing through the Indo-China Peninsula, reaching the South China Sea, turning into the southwest air stream and then reaching the Haihe River Basin; as for the second flow, the air stream in southwest of the WPSH carries water vapor from the West Pacific and the South China Sea through the southeast coast to the Haihe Basin River; the third flow originates from the mid-latitude westerlies, which transports water vapor from the west to east [
14,
26,
27].
Before the end of June, the WPSH ridge is located at the south of 25° N, with the East Asian summer monsoon not yet extending the North China region. The Haihe River basin is jointly affected by the northwest air current as well as the southern warm and humid air current. The water vapor mainly comes from the southwest air current. In late July and early August, as the WPSH moves northwards, the air current in the southwest of the WPSH affects the basin. Overhead from the South China Sea to the West Pacific, the water vapor is transported abnormally to the west and northwest. The air current and the enhanced summer monsoon in Southeast China constitute an anticyclonic abnormal water vapor transport belt, which brings the water vapor northwards to the Haihe River basin. After mid-August, along with the weakening of the WPSH, the high ridge-line begins to retreat rapidly from north to south. With the southeast wind sweeping North China, the basin receives water vapor from the Philippine Sea and the East China Sea [
28,
29].
The combined influence of the WPSH and water vapor transport, and the special topography could well explain the different patterns of monthly precipitation distribution in the Haihe River basin. For example, the high precipitation in the Beisan River and the Luanhe River in June and July—mainly formed by the interaction between the prevailing southwestern—lies at the low troposphere and the windward slopes of the eastern Yanshan mountains, and the relatively high precipitation on the eastern slope of the Taihang Mountains in September is caused by the prevailing near-surface southeast currents which bring the water vapor from the East China Sea and the Yellow Sea. The small sub-centers of precipitation in the plains may be related to the urbanization effect, which will be discussed below.
5.2. Diurnal Variation of Rainy Rainfall
As is shown in
Figure 5, the whole basin and all the tributaries generally see high precipitation at night and before dawn, and low precipitation in the daytime, with the lowest precipitation reached during 9:00–14:00 h. This complies with the conclusion by Yu et al. [
17] that high precipitation in northern China mainly occurs at midnight and before dawn.
Precipitation in the sub-basins witness different diurnal variations, but mostly more rainfall occurs in the late afternoon and evening, as shown in
Figure 5. There is a small distinction (less than half an hour) between the local time and Beijing time, and the time difference would not significantly affect the analysis results of the diurnal variation between the eastern and western sub-basins. The sub-basins with rainfall mostly in the late afternoon and evening are mainly located in mountainous areas with higher altitudes. Convection enhancement and unstable stratification caused by solar radiation in the afternoon, as well as the uplifting effect of valley wind circulation, increases the probability of rainfalls during the afternoon to evening.
On the other hand, precipitation in the plains and coastal areas mostly occurs before dawn (
Figure 5), which is mainly attributed to the declination of the valley wind circulation at night and the effects of the sea-land breeze daily variation caused by differences in the sea-land thermal difference. In the latter case, from midnight to early morning, as the atmosphere over the ocean is warmer than that over the continent, the air rises in the ocean and coastal areas, causing uplifts and precipitation. Radiative cooling at the top of the cloud at night causes the boundary layer to become unstable and also promotes convection over the ocean and coastal areas. Therefore, precipitation on the sea usually occurs in the late-night hours. Due to the influence of offshore areas, the diurnal precipitation variation at coastal areas is also featured with a peak before dawn. Yin et al. [
23] indicated that the spatial differences of the diurnal variation of summer rainfall in the Haihe River basin are mainly impacted by the valley circulation and the land-sea breeze circulation. In the afternoon, upward movement occurs in the mountains in the western and northern Haihe River basin, which goes in line with the precipitation peak in this period. Meanwhile, downward movement occurs in the coastal and plain areas, resulting in the low frequency of precipitation in the afternoon.
Pentad variations of hourly mean precipitation for tributaries in the basin (
Figure 7) basically go in accordance with previous studies [
30]. Previous studies have also shown that thermal circulation of the valley wind is an important cause of the difference between mountainous areas and plains in terms of the diurnal precipitation variations in the Haihe River basin during the rainy season [
31]. Along the Yanshan-Taihang Mountains, the precipitation peak occurs mostly in the afternoon because of the solar radiative heating and the uplifting of the air in the mountainous areas. Then the upper air moves downstream and to the southeast dragged also by the middle troposphere average air current, resulting in a substance of air and a suppression of precipitation during the afternoon. This may benefit the precipitation peak in the afternoon in the mountains and at night in the plain area [
31]. After mid-August, the monsoon rain belt retreats and precipitation gradually decreases.
The short-duration and medium-duration precipitation peak at around 18:00 h and 22:00 h, respectively, and the long-term duration and continuous precipitation reach the highest level before dawn (
Figure 8). These characteristics are approximately consistent with the results of previous studies [
20,
32] which reported that the short-duration precipitation had a diurnal peak in the evening while the long-duration and continuous precipitation peaks before dawn.
5.3. Impact of Urbanization
From the analysis on the mean precipitation with different durations and their contributions to warm-season precipitation, it could be found that high-value centers exist near large cities including Beijing, Tianjin, Shijiazhuang, Baoding, Xingtai and Handan. Previous research on the precipitation features in Beijing [
33,
34,
35] showed that urban areas suffer more rainfalls and more frequent intense rainfall events than rural areas. This paper shows the generally larger rainfall at large and medium cities than at the small cities, indicating a highly possible influence of urbanization on rainfall in the summer. This is a very interesting issue and certainly deserves further investigation in the future.
The precipitation differences of large and medium-sized city stations from that of small city stations, as shown in
Figure 12 and
Table 1, may have been caused mainly by the development of the built-up areas or urbanization process in the larger cities. The mechanisms of the urbanization effect are clearly understood. Three aspects are important: the urban heat island (UHI) effect which causes stronger air uplifting within the urban areas by developing a UHI circulation, the enhanced surface roughness due to the high buildings, which acts as a driver to strengthen convergence of currents and to block the weather systems, and the denser air pollutants in urban areas, which may act as effective nuclei for water droplets and ice to form in clouds in the rainy season [
36].
A complicated situation may arise when discussing the impact of urbanization on precipitation. Zheng and Ren [
37] found that wind speed affects the precipitation capture rate of the gauge, leading to precipitation observation errors, especially for heavy rainfalls and above-grade rainfalls, in the Beijing City and the surrounding areas. Under the influence of wind speed, the precipitation might be underestimated by 7–9%. Urbanization causes not only the urban warming or the UHI effect, but also the weakening of near-surface wind speed within the urban areas, leading to an increase in the capture rate of the gauge [
38]. It is possible, therefore, that the relatively higher precipitation and intense rainfall in the urban areas are induced partly by the larger capture rate of the gauge due to the weaker wind. If the under-catch effect exists, then the wind-induced bias in observations has to be adjusted before any further analysis can be made to examine the impact of urbanization on the mean and intense precipitation at urban stations of the Haihe River basin.
Therefore, the issue of urbanization effect on summer precipitation has to be better settled after the error of the gauge measurement is adjusted, and also a more sophisticated methodology is developed in the future.
6. Conclusions
This study analyzes the intra-seasonal and diurnal precipitation variations in the Haihe River basin and its branch systems, based on the hourly precipitation data in the rainy season (May–September) during 2007–2017. The following conclusions can be drawn from the analysis:
(1) The high-rainfall belt in the basin moves with the summer monsoon from south to north and then back to the south. The belt is located in the south of the Yanshan Mountains and the Tuma River. Multiple rainstorm centers are found amidst the rainy belt. Throughout the rainy season, the high-rainfall zones could be found more in the windward slope of the Yanshan Mountains and in the south of the basin.
(2) The precipitation of each branch system is featured with a single peak during the rainy season. Specifically, the precipitation keeps low before early July and strikes the bottom in May, which is marked as the pre-flood season. It peaks in July, with the major flood season coming from the third pentad of July to the fourth pentad of August. The precipitation in August ranks second, only after that in July. However, it begins to decrease after mid-August, which is named as the post-flood season.
(3) The precipitation is high at night but low during the daytime generally within the basin; still, the high-rainfall period differs among tributaries. Along with the movement of the high-rainfall belt, the precipitation in the pre-flood season (May to the third pentad of July) mostly occurs at 16:00–21:00 h. When it comes to the major flood season (the fourth pentad of July to the second pentad of August), the precipitation peaks at 17:00–22:00 h and sub-peaks at 0:00–7:00 h. In the post-flood season (the third pentad of August to September), the precipitation mostly occurs at night, with the peak occurring at 0:00–8:00 h.
(4) In the mountainous areas, the short-duration precipitation occurs most, accounting for 30% of the total rainy season rainfalls. The long-duration precipitation makes a larger contribution to the plains in the basin. The continuous precipitation is majorly encountered in the windward slopes of the Taihang Mountains and the Yanshan Mountains. From the perspective of the whole basin, the long-duration precipitation and continuous precipitation contribute more to the total rainy season rainfalls than the short-duration precipitation.
(5) Urbanization seems to have exerted a remarkable influence on local precipitation and intense rainfalls in large cities, leading to the larger warm-season mean precipitation and more frequent intense precipitation events in mid-summer and during the nighttime in large cities than in small cities. A major uncertainty in detecting the impact of urbanization may come from the possible influence of the under-catch effect of the gauge for the urban stations.
Author Contributions
Conceptualization, G.R. and J.G.; methodology, J.G. and G.R; software, J.G.; validation, G.R.; formal analysis, G.J. and H.H.; data curation, M.X.; writing—original draft preparation, J.G.; writing—review and editing, G.R.; visualization, H.H.; supervision, G.R.; funding acquisition, G.R. and J.G.
Funding
This study is supported by the National Key R&D Program of China (No. 2018YFA0606302 and No.2018YFA0605603), and the Natural Science Foundation of China (NSFC) (41575003).
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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Figure 1.
The geographical location and meteorological station distribution of the Haihe River basin (dots indicate locations of meteorological stations, and the purple color shows the mountains and plateaus).
Figure 1.
The geographical location and meteorological station distribution of the Haihe River basin (dots indicate locations of meteorological stations, and the purple color shows the mountains and plateaus).
Figure 2.
The spatial distribution of the rainy season total precipitation in the Haihe River basin, 2007–2014 (unit: mm).
Figure 2.
The spatial distribution of the rainy season total precipitation in the Haihe River basin, 2007–2014 (unit: mm).
Figure 3.
The spatial distribution of the monthly total precipitation in the Haihe River basin, 2007–2017 (unit: mm) ((a), (b), (c), (d) and (e) for May, June, July, August and September, respectively).
Figure 3.
The spatial distribution of the monthly total precipitation in the Haihe River basin, 2007–2017 (unit: mm) ((a), (b), (c), (d) and (e) for May, June, July, August and September, respectively).
Figure 4.
The diurnal variations of the basin-averaged hourly mean precipitation in the Haihe River basin.
Figure 4.
The diurnal variations of the basin-averaged hourly mean precipitation in the Haihe River basin.
Figure 5.
The diurnal variations of hourly mean precipitation for the tributaries in the Haihe River basin.
Figure 5.
The diurnal variations of hourly mean precipitation for the tributaries in the Haihe River basin.
Figure 6.
The pentad variations of the hourly mean precipitation in the Haihe River basin, 2007–2017.
Figure 6.
The pentad variations of the hourly mean precipitation in the Haihe River basin, 2007–2017.
Figure 7.
The pentad variations of the hourly mean precipitation for tributaries in the Haihe River basin, 2007–2017. ((a), Luanhe River; (b), Beisan River; (c), Yongding River; (d), Daqing River; (e), Ziya River; (f), Nanyun River; (g), Zhangwei River; (h), Tuma River; (i), low reach of Haihe River).
Figure 7.
The pentad variations of the hourly mean precipitation for tributaries in the Haihe River basin, 2007–2017. ((a), Luanhe River; (b), Beisan River; (c), Yongding River; (d), Daqing River; (e), Ziya River; (f), Nanyun River; (g), Zhangwei River; (h), Tuma River; (i), low reach of Haihe River).
Figure 8.
The diurnal variations of the different duration precipitations in the Haihe River basin, 2007–2017 ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 8.
The diurnal variations of the different duration precipitations in the Haihe River basin, 2007–2017 ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 9.
The precipitation frequency with different durations in the Haihe River basin, 2007–2017 (unit: hour) ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 9.
The precipitation frequency with different durations in the Haihe River basin, 2007–2017 (unit: hour) ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 10.
The precipitation amount with different durations in the Haihe River basin, 2007–2017 (unit: mm) ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 10.
The precipitation amount with different durations in the Haihe River basin, 2007–2017 (unit: mm) ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 11.
The precipitation contribution (to the total rainfall) with different durations in the Haihe River basin, 2007–2017 (Unit: %) ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 11.
The precipitation contribution (to the total rainfall) with different durations in the Haihe River basin, 2007–2017 (Unit: %) ((a), short-duration (1–3 h) precipitation; (b), medium-duration (4–6 h) precipitation; (c), long-duration (6–12 h) precipitation; and (d), continuous precipitation (over 12 h) precipitation).
Figure 12.
The diurnal precipitation variations (hourly mean precipitation) (a) and intra-seasonal variations (pentad mean precipitation); (b) for different categories of cities, 2007–2017.
Figure 12.
The diurnal precipitation variations (hourly mean precipitation) (a) and intra-seasonal variations (pentad mean precipitation); (b) for different categories of cities, 2007–2017.
Figure 13.
The relationship between warm-season precipitation of non-city stations and their altitudes in the Haihe River basin, 2007–2017.
Figure 13.
The relationship between warm-season precipitation of non-city stations and their altitudes in the Haihe River basin, 2007–2017.
Table 1.
The average altitudes and warm-season mean precipitation of the city stations in the Haihe River basin, 2007–2017.
Table 1.
The average altitudes and warm-season mean precipitation of the city stations in the Haihe River basin, 2007–2017.
Categories of Stations | Number of Stations | Average Altitude (m asl) | Mean Precipitation (mm) | Difference from Small City (mm) |
---|
Large city | 10 | 34.8 | 459.9 | 49.8 (12%) |
Medium-sized city | 27 | 43.4 | 443.9 | 33.8 (8%) |
Small city | 19 | 343.8 | 410.1 | |
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