Monday, June 3, 2019
Patterns in River Flow Data
Patterns in River feed DataIntroductionThe hydrologic response of a watershed is based on interactions between landscape characteristics and climatic characteristics input as the soil property descriptors, geomorphologic descriptors, geologic descriptors and land use varies among different watersheds, the watersheds could respond very differently to precipitation (Mohamoud, 2004). The main aim of this coursework is to assess the regard of recent clime change on river spring to unc everyplace its signifi ignorece in affecting river come down by analysing and comparing river flow records from depicted object River Flow Archive, and to highlight and assess the departures in the hydrologic response to climate change of the tether chosen rivers with contrasting characteristics, located in the UK.The trey rivers chosen to be analysed includes the easterly Avon, the River Dove and the River Greta, totally with natural catchments (natural to within 10% at Q95), with no known majo r artificial changes to the catchment that would influence the flow of the rivers, in inn to enterprise to focus solely on the effect of climate change (CEH, n.d.). The catchments exa seconded all similar in size 83000m2 for River Dove at Izaak Walton, located in of import England 86100m2 for Greta at Rutherford Bridge, located in north- east England 85800m2 for East Avon at Upavon, located in south- west England (CEH, n.d.). interpret 1 showing the locations of the terzetto gauging station on three sepa outrank maps of the UK (CEH, n.d.)Apart from the differences in location ( omen 1.), there ar besides contrasting catchment characteristics. East Avon at Upavon predominantly consists of 64.5% of upper greensand and lower scratch of 27% the remaining 8.5% consists of middle chalk, upper chalk, clay, as sound as gault, plus river gravel and alluvium at the bottom of the valley (CEH, n.d.). In comparison, the Greta at Rutherford Bridge catchment is known to be steep, and it ma inly consists of mollymawk grit (CEH, n.d.). Finally, in contrast, Dove at Izzak Walton is known to be ample and narrow (CEH, n.d.). It mainly consists of mudstone, millstone grit and sandstone, with underlying carboniferous limestone forming the left hand watershed (CEH, n.d.). When looking at the catchment statistics in relation to the geology, East Avons catchment consists of 40.3% of high permeability fundamental principle, with 59.7% keep back permeability bedrock (CEH, n.d.). In contrast, Greta and Doves catchment consists of 100% of carry permeability bedrock (CEH, n.d.). Besides the obvious difference in geology, the sites also go away differently in terms of their climatic characteristics, as shown in table 1.1, 1.2 1.3, and finally, land cover also varies among the three river catchments, as shown in table 2 (Met part, n.d. CEH, n.d.).Table 1.1 averages table showing climate info for the England SE Central S District, which covers outcome 1981-2010 (Met Office, n.d.)Table 1.2 averages table showing climate information for the Midlands District, which covers period 1981-2010(Met Office, n.d.)Table 1.3 averages table showing climate data for the England E NE District, which covers period 1981-2010(Met Office, n.d.)Table 2- Catchment statistics of Land Cover for each of the three catchments (CEH, n.d.).MethodologyThe river flow data obtained from these three gauging stations, between the year of 1973 and 2013 were used for analysis. In order to observe and identify flow pattern for each of the chosen sites, as well as to identify any change in the hydrological regime of the three rivers due to recent climate change at the sites, the three sets of river flow data from National River Flow Archive (NRFA) was first imported on to a spread sheet, where the flow measurement/ reading of each river were sorted in to order, accord to the hydrological date of the measured flow. The data was then p diffuseted as followsDischarge vs. sequenceMonthly flow vs. timeA flow duration carousal for flow frequency analysisMean firing off vs. Hydrological year Julian dateNext, visual inspection of the interprets was carried out, and the graphs produced for each river were railly compared to assess how seasonal and time series patterns of flow differ across the three sites, and to determine whether all three sites showed the same pattern of flow through time.Results and DiscussionIn order illustrate the seasonal river flow pattern in the three catchments trope 2 shows hydrographs for the three rivers. The location of these catchments is shown in figure 1, and characteristics are presented in the introduction. Upon inspecting the hydrographs, the pursuit observations were made (points of reference are labelled as A on the hydrographs)East Avons intend discharge superlatives at 1.17 m3s-1, on day cxxxGretas mean discharge peaks at 6.81 m3s-1, on day 69Doves mean discharge peaks at 3.35 m3s-1, on day 82Figure 2-Hydrographs for three rivers, showing the mean discharge vs Hydrological year Julian date, plus a graph for comparison between the rivers mean discharge over daysAccording to a study on UK river flow regimes, Hannaford et al. (2012) had suggested that UK river flow regimes can be considered temperate precipitation/evapotranspiration dominated, rather than snowmelt dominated. This means that the seasonal steering wheel per second will be mainly driven by evapotranspiration, leading to higher(prenominal) flows in overwinter and lower flows in summer, with the spring and autumn as passing seasons (Hannaford et al., 2012). When referring back to the peak discharge observations above, all three rivers conformed to the same general pattern, as day 82, 69 130- the days where the mean discharge has reached the peak for the three river all lies within the winter period, indicating that the flow will be high during winter days. Further more than, the hydrographs also shows that, for all three rivers, the mean discharge appeared to be relatively low, and have all remained low between day 280 -320 for all three rivers (section B on the hydrographs), during the summer period.Figure 3- Monthly Discharge vs. Hydrological Year witness graph for all three rivers, with a secondary axis corresponding to the mean monthly discharge wrestleIn terms of the consistency of the flow, figure 3 shows East Avons maximum minimum curve, and its mean curve look very similar- the curves are almost overlapping one another which shows a low hesitation in flow. This suggests that the flow of the river is very consistent. In contrast, the other devil rivers have less consistency. This can be observed when comparing the max, min and mean curve in Doves graph- the general shape of the curves are very similar to one another, yet there are a few points in the graph where there are some very noticeable differences, where the mean curve tend to have a greater fluctuation and peaks at higher discharge points compa red to the other two curves, thus showing that it is generally consistent, but the consistency is lower compared to East Avon. Finally, Gretas corresponding graph displays great fluctuation although both max and mean curves are both similar and conforms to a similar pattern, it is clear that the min curve looks a lot flatter, with a pattern that is not very similar to the other two curves within the graph. This indicates that Gretas consistency between years is relatively poor.Although all three river exhibit similar seasonal flow patterns, there are still notable difference in their response time. The occurrence of lag time and the difference between the response times of the three sites can be explained by the difference in the catchments physical characteristics and its underlying geology. When referring back to the peak discharge data, East Avon displays a lagged response, peaking at day 130, as opposed to peaking at days closer to 82 and 69 (days of which Dove and Greta reached its peak). This significant variation can caused by East Avons catchment geology, as it consists of 40.3% of high permeability bedrock, with 27% of chalk in the catchment, as opposed to 0% of high permeability bedrock in the other two catchments the high permeability bedrock and the highly permeable chalk means that groundwater storage plays a significant role in effecting the runoff regime of the East Avon catchment, which lead to East Avons discharge peaking at around February, towards the end of the winter period, as opposed to peaking towards the start of the winter period, like the other two rivers have.Next, in order to illustrate the reason behind Gretas earlier peak, in comparison to Doves later(prenominal) peak at day 82 (figure 2), the physical feature of both catchments must be examined in detail. Both catchments have an identical percentage of moderate permeability bed rock, and both are similar due to the fact that the catchments both consist of Millstone Grit. Howeve r, the topography are significant different between the two catchments. Since Gretas catchment is significantly steeper when compared to the Doves catchment, as illustrated in figure 6 and table 3, Greta will have a more responsive regime compared to Dove due to a quick run- off rate of precipitation. This could also provide an explanation to why the mean discharge curve in the Greta hydrograph is subjected to a greater level of daily variation in comparison to the other two sites and their respective hydrographs.Figure 4- Flow duration curves for all three sites, with an additional graph (bottom graph) combing the Q* data (Discharge Ratio where Q*= Q/Q50) of three sites for comparison- note that scale of Q* is in Logarithmic Scale (Base10)Figure 5- Flow duration curves for all three sites, with an additional graph (bottom graph) combing the Q* data (Discharge Ratio where Q*= Q/Q50) of three sites for comparison- the scale of Q* has been adjusted to go from 0-6 for comparisonAdditi onally, figure 4 shows that Gretas curve has the steepest slope, followed by Dove, and then by East Avon with the flattest slope. The observations mirrored those findings above precisely Gretas steepest slope indicates a highly variable river, and the flow mainly consists of direct runoff (Searcy, 1959). In contrast, curves with a flatter slope (e.g. East Avon with the flattest curve) which means they have a more constant flow, and can signify the existence of step forward and/or groundwater storage in East Avons case, highly permeable chalk acts as storage for water, which equalized the flow of the river (Searcy, 1959). Furthermore, in figure 5, the graph also provides information on the three rivers frequencies of very high flows and very low flows. When employing the parameters of Q*=5 for high flow, and Q*=0.2 for low, the curves shows that Greta exhibits a significantly lower proportion of time flow lower than the Q* of 5, whereas the curves for Dove and East Avon are very si milar, with a much higher proportion of time flow less than Q* of 5, meaning that high flows occurs a lot less frequently in Dove Avon in comparison to Greta. In terms of low flow, three rivers are all dissimilar in their frequency of low flow. Gretas proportion of flow less than 0.5 is 0.02, whilst Doves proportion is 0.16, with East Avons proportion is 0.34. East Avons higher proportion of time flow less than 0.5 means that the occurrence of low flow is more frequent in East Avon, and in comparison, Dove has got a relatively lower frequency of low flow, and Greta with the lowest frequency of low flow over the years within the sample period.Table 3- Elevation data for Greta and Doves catchment (CEH, 2014)Figure 6-Elevation Map of England. This map shows the significant difference in elevation between the North of England and the South of England. (Windpower Program, n.d)As seen in figure 7, the flows of all three rivers do seem to conform to a similar pattern over time, with no si gnificant changes in the temporal pattern and frequencies of flowage/ droughts. However, upon further inspection, the graph shows that the magnitude of the floods for all three rivers had increased over time the high flow peaks have seemed to be higher in more recent years. This phenomenon can possibly be explained by global climate change as global temperature increase, this leads to an increase in water vaporing the atmosphere. As suggested by Milly et al. (2002 cited Das et al, 2013), Kunkel et al. (2013 cited Das et al., 2013) and Trenberth (1999 cited Das et al, 2013), storms are likely to yield more extreme peak precipitation rates, which can lead to more intensified floods around the globe (Groisman et al., 2005 cited Das et al, 2013). However, although the trend identified above is consistent with climate change, it is also consistent with variability driven North Atlantic oscillation (Hannaford, 2013). With the significant knowledge gap in the understanding of long term multi-decadal variability in flow driven by NAO, along with the lack of long term flow data available for this report, it will be premature to attribute specific steam flow trends to anthropogenic climate change (Hannaford, 2013).Figure 7- Hydrograph showing change in river discharge between 1973- 2012Summary ConclusionIn conclusion, river flow regimes of the three assessed rivers are heavily dependent on catchment geologic characteristics and climate. Climate plays a major role in effecting the flow, as the relatively temperate climate in England meant that the dominant factor in effecting flow regimes are precipitation/ evapotranspiration, which leads to the occurrence in flow variation between seasons as rate of evapotranspiration varies. In relation to climate, among the three rivers, there were observed changes in peak flow and flood magnitude over time, which global climate change might be responsible for, as it can lead to precipitation extremes, which in turns lead to more run-off and higher river flow. Besides that, variation in geology also contributes to the difference in hydrology of each river, as groundwater storage can affect the rate of run- off, which in turns affects the flow and the response of the three rivers. Finally, anthropogenic influences can affect flow regime of rivers (Schneider et al, 2013). However, there is no significant evidence to show how these had circumscribed the flow of the rivers.Reference join for Ecology Hydrology (n.d) 43014- East Avon at Upavon. National River Flow Archive. Map , Catchment Description Flow Record Retrieved from http//www.ceh.ac.uk/data/nrfa/data/peakflow.html?43014 (Last accessed on 07/11/2014)Centre for Ecology Hydrology (n.d) 28046 Dove at Izaak Walton.. National River Flow Archive. Map , Catchment Description Flow Record Retrieved from http//www.ceh.ac.uk/data/nrfa/data/peakflow.html?28046 (Last accessed on 07/11/2014)Centre for Ecology Hydrology (n.d) 25006 Greta at Rutherford Bridge. Na tional River Flow Archive. Map , Catchment Description Flow Record Retrieved from http//www.ceh.ac.uk/data/nrfa/data/peakflow.html?25006 (Last accessed on 07/11/2014)Groisman, P.Y. Knight, R.W. Easterling, D.R. Karl, T.R. Hegerl, G. Razuvaev, V.A.N. (2005) Trends in intense precipitation in the climate record. Journal of Climate, vol 18, no. 9, 1326-1350. Cited in Das, T Maurer, E. P. Pierce, D. W. Dettinger, M.D. Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501, 101-110.Hannaford, J (2013) Observed long- term changes in Uk river flow patterns a review. A climate change Report car for water.Hannaford, J. Buys, G. (2012) Trends in seasonal river flow regimes in the UK. Journal of Hydrology, 475. 158-174.Kunkel, K.E. Karl, T.R. Easterling, D.R. Redmond, K. Young, J. Yin, X, Hennon, P. (2013) Probable maximum precipitation (PMP) and climate change Geophys. Res. Lett., 40 Cited in Das, T Maurer, E. P. Pierce, D. W. Dettinger , M.D. Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501, 101-110.Table 1. Met Office (no date) UK climate District England SE Central S Table/ Data Retrieved from http//www.metoffice.gov.uk/ general/weather/climate/gcneyctf3 (Last accessed on 08/11/2014)Table 1. Met Office (no date) UK climate District Midlands Table/ Data Retrieved from http//www.metoffice.gov.uk/public/weather/climate/gcqbgpgqh (Last accessed on 08/11/2014)Table 1. Met Office (no date) UK climate District England E NE Table/ Data Retrieved fromhttp//www.metoffice.gov.uk/public/weather/climate/gcwzegx04 (Last accessed on 08/11/2014)Milly, P.C.D. Wetherald, R. T. Dunne, K.A. Delworth T.L. (2001) Increasing risk of great floods in a ever-changing climate Nature, 415 (2002), pp. 514517. Cited in Das, T Maurer, E. P. Pierce, D. W. Dettinger, M.D. Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501 , 101-110.Mohamoud, Y. (2004) Comparison of hydrologic responses at different watershedscales EPA Report EPA/600/R-04/103Searcy, J .K . (1959), Flow-duration curves U .S . Geological Survey Water-Supply Paper 1542-ASchneider,C. Laiz,C.L.R. Acreman,M.C. Flrke,M. (2013) How will climate change modify river flow regimes in Europe?, Hydrol. Earth Syst. Sci., 17, 325-339Trenberth, K.E. (1999) Conceptual framework for changes of extremes of the hydrological cycle with climate change Climate Change, 42 (1999), pp. 327339. Cited in Das, T Maurer, E. P. Pierce, D. W. Dettinger, M.D. Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501, 101-110.Figure 6. Windpower Program (no date) Estimating mean wind speed. Map Retrieved from http//www.wind-power-program.com/windestimates.htm (Last accessed on 08/11/2014)
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