Dunboyne Combined Residents Association
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An Bord Pleanala Oral Hearing: 20/21.04.04 
  ( Appeal Ref:PL 17.204690 P.A.Reg Ref DA/30236)
  
  Presented by Douglas Dennehy 
  I will first deal with the subject of flood risk assessment.
  It has become the custom to measure the risk of flooding by the peak flow in 
  the Tolka at Glasnevin. 
  It also appears that a peak flow having a frequency of once in 100 years has 
  become accepted as a suitable standard for the level of protection to be provided.
  The once in one hundred year return flow given in the Final Report of the 
  River Tolka Study is 90 m3/sec. This figure is based on flawed analysis and 
  I will demonstrate that that a more realistic estimate will be seen to be of 
  the order of 130 
  Such a flow implies that the widely believed estimated is underestimated by 
  some 45%. If confirmed, this finding would have significant implications for 
  the proposed development Among other things, as one can no longer regard the 
  levels that were observed for a flood of 98 m3/s in 2002 to be valid for one 
  of 130 m3/s, it would imply that there can be no reliable indication as to the 
  extent of the flood plain in the Castle Estate. It further implies that there 
  is no reliable estimate of appropriate flood levels. It follows that it is impossible 
  at present to judge the effectiveness of the proposed alleviation measures. 
  In the wider context it implies that current and proposed policies for the future 
  development in the Tolka catchment is also similarly flawed.
  In contrast to the deplorable uncertainty regarding all the matters relating 
  to flooding in the Tolka catchment, there can be no doubt whatsoever as to the 
  inappropriateness of allowing further development in the Castle Estate, or anywhere 
  else in the vicinity of the Castle River, for the foreseeable future
  I will now provide the evidence for this assertion.
  The data available for analysis is taken from the appendices of the River Tolka 
  Flooding Study, Technical Report No.2 - River Modelling Report. The data refers 
  to the outflow from the (140 square kilometres) Tolka catchment measured at 
  Drumcondra, and consists of a total of 41 records of peak annual flows for a 
  period of 122 years from 1880. Of these only the 34 records from 1954 can be 
  regarded as reasonably reliable. 
  The consultants analysed the data in three sets (1) The Full Recorded Series 
  comprising the 34 most reliable Maximum Annual (MA) flows records, (2) the Peak 
  Over Threshold (POT) Series based on the 15 observations that exceeded a threshold 
  of 35m3/s and (3) an Expanded Series of 122 obtained by estimating the 76 missing 
  observations from the MA series. In each case the data were fitted to two commonly 
  used Extreme Values distribution functions, namely EV 1 also known as the Gumbel 
  and EV 2. The first has two parameters, the mean and standard deviation. The 
  second, EV 2 has an additional parameter (k) that modifies the shape.
  The process of fitting involves estimating the parameters and this should be 
  done using an efficient statistical method. Two suitable methods are (1) by 
  using probability weighted moments (PWM) or (2) by maximum likelihood estimation 
  (MLE). Generally MLE is regarded as the "gold standard" and is normally 
  used by statisticians. An essential part of the process involves testing the 
  'goodness of fit' in order to measure the accuracy of the final probability 
  estimates. Here, the approved method involved determining the standard errors 
  and establishing confidence intervals.
  There are several causes of concern regarding the analysis used in the Technical 
  Report 
  To begin, an ad hoc graphical method was used to estimated the parameters of 
  the EV 1 distribution instead of either of the approved methods. Also there 
  is no evidence to show that any form of significance testing was done.
  The parameters for the EV 2 should be found using MLE, instead a fixed value 
  of k equal to -0.05 was used in addition to the parameters already estimated 
  for the EV 1 analysis. This method is quite incorrect because the mean and standard 
  deviation of the EV 2 distribution depend on the value of k and have to be estimated 
  accordingly. The results are obviously undependable and should not be used. 
  
  In the literature, POT data is analysed using a Generalised Pareto distribution 
  and the parameters are estimated using MLE. The consultants use a probability 
  plotting method to fit a Gumbel distribution. This gave a value of -2.82 for 
  the mean. This estimate is negative and therefore infeasible. Notwithstanding, 
  the consultants merely switch the sign and proceed regardless. It follows that 
  the results of the POT analysis are unusable. 
  The analysis of the Expanded Annual Maximum Series is also totally untrustworthy. 
  In addition to the inaccurate method used for parameter estimation, a disproportionately 
  large number (76 out of a total of 122) of missing observations were estimated 
  in order to expand the series. This entailed using a number of random samples 
  based on assumptions regarding the distribution of the missing data. Consequently 
  the results of the analysis are likely to be confounded by the assumed distribution 
  of the missing data and are therefore also of dubious value.
  This leaves the Full Recorded Series. Before discussing the analysis of this 
  I will read the abstract of a paper entitled " ON THE APPROPRIATENESS OF 
  THE GUMBEL DISTRIBUTION FOR MODELLING EXTREME RAINFALL " presented at the 
  proceedings of the European Science Foundation's Life and Environmental Science 
  Committee (ESF LESC) Exploratory Workshop held at Bologna, Italy, October 24-25 
  2003., by Demetris Koutsoyiannis of the Department of Water Resources, Faculty 
  of Civil Engineering, National Technical University of Athens. It reads
  For half a century, the Gumbel distribution has been the prevailing model for 
  quantifying risk associated with extreme rainfall. Several arguments including 
  theoretical reasons and empirical evidence are supposed to support the appropriateness 
  of the Gumbel distribution. These arguments are examined thoroughly in this 
  work and are put into question. Moreover, it is shown that the Gumbel distribution 
  may misjudge the hydrological risk as it underestimates seriously the largest 
  extreme rainfall amounts. Besides, it is shown that the three-parameter extreme 
  value distribution of type II is a more consistent alternative and it is discussed 
  how this distribution can be applied even with short hydrological records.
  The first few lines from the introduction reads:-
  Almost a century after the empirical foundation of hydrological frequency curves 
  
..the estimation of hydrological extremes continues to be highly uncertain. 
  This has been vividly expressed by Kleme (2000) who argues that 
  "... the increased mathematicisation of hydrological frequency analysis 
  over the past 50 years has not increased the validity of the estimates of frequencies 
  of high extremes and thus has not improved our ability to assess the safety 
  of structures whose design characteristics are based on them. The distribution 
  models used now, though disguised in rigorous mathematical garb, are no more, 
  and quite likely less, valid for estimating the probabilities of rare events 
  than were the extensions 'by eye' of duration curves employed 50 years ago."
  A similar critique was made by Professor Jim Dooge in 1986 (Sometime an Irish 
  Minister for Foreign Affairs and recognised world wide for his pioneering work 
  on River Basin Modelling)
  In the light of the above I made analyses of the 34 MA observations in Full 
  Recorded Series using approved statistical methods to fit (1) the Gumbel and 
  (2) the GEV i.e. the three parameter EV 2. The 100 year return flow were as 
  follows:-
  For the Gumbel (i) using MLE 80 m3/sec
  DISPLAY 
For the GEV (i) using PWM 129 m3/sec 
  (iii) using MLE 133 m3/sec
  DISPLAY
I will now quote a few lines from the conclusion Kutsoyiannis's paper
  Interestingly, EV1 has been the prevailing model for rainfall extremes despite 
  the fact that it results in the highest possible risk for engineering structures, 
  i.e. it yields the smallest possible design rainfall values in comparison to 
  those of the three-parameter EV2 for any value of the shape parameter. The empirical 
  investigation of this study demonstrates that the underestimation of design 
  rainfall by the EV1 distribution is quite substantial (e.g. 1:2 that is 100%) 
  for large return periods and this fact must be considered as a warning against 
  the adoption of the EV1 distribution for rainfall extremes.
  On the contrary, the three-parameter EV2 distribution (the GEV distribution 
  bounded from the left) does not have the theoretical and empirical disadvantages 
  of the EV1 distribution.
I now wish to discuss the matter of Flood Mitigation
  There has been a radical change of River Basin Management and Flood Mitigation 
  policy throughout Europe, in recent times, from the unsustainable traditional 
  one, that results in 'flushing' the flood water down the river, to an alternative 
  one of retaining flood waters in the sparsely populated upland parts of a river 
  catchment area where it can do relatively little damage. Reference to this can 
  be found in
  There is sufficient evidence to show that the proper completion of the Tolka 
  Study was disrupted almost immediately after the flooding on 14th/15th November 
  2002. One can deduce that a decision was made, for political expediency, to 
  embark on a program of "quick fix" remedial measures in spite of the 
  contrary advice of the consultants doing the study. This was expressed by Minister 
  Parlon in the Dail on 19th November 2002, when he stated that in the absence 
  of the full report of the study any interim works could exacerbate flooding 
  problems upstream or downstream and moreover could have disastrous consequences 
  in exceptional circumstances.
  The Flooding in 2002 presented he consultants with an unexpected opportunity 
  to establish the maximum levels reached by the flood, by direct observation 
  without the need for any complex mathematical modelling. Also, being the largest 
  flood for the River Tolka on record, it was presumably regarded as a suitable 
  basis for determining the level of protection required in the areas most at 
  risk. It is easy to appreciate that, without being able to assess the implications 
  that would otherwise have been provided by a detailed analysis of the problems, 
  the decision by those concerned led to the automatic adoption of the traditional 
  policy of flood mitigation. 
  Consequently, the 58 remedial measures proposed by the consultants almost entirely 
  involve raising or building embankments and walls or making modifications to 
  the river channel. Such measures reduce the normal role of the flood plains 
  and confine the flood water to the river channel. This inevitably results in 
  accelerating it downstream towards the most vulnerable and most densely populated 
  areas. 
  The emergency measures for Dunboyne, including the river and flood plains in 
  the Castle Estate involved massive changes to the river profile over a distance 
  of more than two kilometers. These measures result in accelerating the floodwaters 
  downstream where the impact on the critical conditions at Clonee could not have 
  been properly assessed without the aid of catchment modelling. 
  There are no automatic rain gauges in the Tolka catchment. There are no river 
  gauges at the outlets of the three main tributaries: the Tolka River upstream 
  of Clonee, the Castle River at Dunboyne and the twin Pilkeens at Mulhuddard. 
  Without measured flows in these tributaries, reliable mathematical modelling 
  (based on the St Venant wave equations) of the river from Dunboyne to Glasnevin 
  is impossible. It follows that there are no reliable means of assessing the 
  impact of any of the changes that have been made. Moreover, until such time 
  as proper measuring devices are installed and calibrated the affect of the measures 
  already adopted must remain unknown.
  What is more, the interim measures were implemented without a proper Environmental 
  Impact Study and as a consequence there is no reliable information in the public 
  domain as to the impact of these works downstream. It follows that a reliable 
  assessment of any further change cannot be assessed at present. 
  In the wider context. the policy of retention, recommended throughout Europe, 
  was almost a mandatory option in the case of the Tolka because the scope for 
  providing adequate protection in the most vulnerable highly populated city area 
  downstream of Glasnevin is severely limited. The peak flow recorded at Glasnevin 
  for the 2002 event was 98 m3/sec, that is some 25% above the design capacity 
  of the river. However, the construction of the N3 and associated ribbon development 
  in recent years has radically altered the character of the river from Dunboyne 
  to Finglas. This results in a drastic reduction of the amplitude of the flood 
  wave as it travels downstream. Under previous conditions the peak flow at Glasnevin 
  in 2002 might well have been as high as 110 m3/sec, that is about 33% above 
  the capacity of the river (before recent modifications). Obviously, substantial 
  damage to property and perhaps loss of life might easily result from adopting 
  the wrong policy of "flushing" in the upstream part of the river.
  The recent flooding also clearly revealed a critical problem in the Clonee/Dunboyne 
  area resulting from the construction of the N3 at Clonee which acts as a dam 
  across the river downstream of the village. This obstruction causes the floodwaters, 
  in the upstream area, to rise well above the levels that would have pertained 
  before the building of the road. Consequently, the risk of flooding at Dunboyne 
  as well as at Clonee has been a greatly increased. In fact there is no doubt 
  that N3 was responsible for a substantial part of the damage caused in both 
  villages by the last two floods. 
  This serious hazard was clearly recognised by the consultants and the initial 
  remedial measures proposed for the area, included suggestions for diversion 
  channels designed to redirect a substantial part of the floodwater away from 
  the areas at risk. However this option has now been abandoned, presumably, because 
  it would have caused dangerous problems downstream. 
  The remaining measures do not correct the chronic underlying problem caused 
  by the road works. Instead they act purely as defenses comprising the building 
  of a wall to protect the village of Clonee and a series of embankments. These 
  are designed to protect property and to contain the flood waters in an extensive 
  area comprising a large part of the original flood plains between Dunboyne and 
  Clonee. It is evidently now intended to treat this area as an alleviation basin. 
  However, this option was dictated by the initial failure to adopt a proper policy 
  of retention and provide for temporary storage of the flood waters in suitable 
  locations in the catchment further upstream.
  It cannot be denied that, in the present climate of uncertainty regarding flooding, 
  the consequences of ill-advised action in the Dunboyne area could have disastrous 
  consequences downstream. 
  To summarize what I have said:-
  The risk of flooding has been seriously underestimated and is currently used 
  as a basis for the implementation of an unsustainable flood mitigation policy 
  This has created an alarming state of uncertainty, ignoring the unpredictable 
  affect of future climate change, regarding all crucial aspects of flooding needed 
  for sound decision taking .
  In relation to the proposed development:- 
  · There is uncertainty regarding the actual the extent of the existing 
  floodplains.
  · There is uncertainty regarding potential flood levels that are essential 
  for the design of alleviation measures
  · There is uncertainty regarding the potential impact of the proposed 
  development downstream under unpredictable circumstances and the additional 
  avoidable risk imposed.