A protection zone along water distribution network is one of the proposals to limit the negative effects of potential breakages of buried water pipes, connected with the creation of swallow holes, hollows or depressions [1, 2]. Water flowing out from a leaking pipe can wash out fine soil particles from a solid matrix and move them through soil pores causing suffosion. The phenomena of this kind are dangerous especially in urban areas with developed infrastructure. Empty spaces created incrementally under the soil surface can be hazardous for human health or property – accidents of cars falling in holes created after a water pipe failure are reported several times a year all over the world. The problem still exists because of two reasons.
The first is that water supply pipes are usually located along roads, which are used by vehicles at all times, and also where the density of infrastructure is often the highest. The second reason is connected with the fact that water pipes failures and breakages occur randomly during the whole maintenance period of every water supply system in the world [3, 4]. Plenty of methods for leakage detection, evaluating the technical conditions of operating water pipes and risk management in water distribution systems have been reported in the literature in recent years [e.g. 5–11]. Modelling and computer simulations have become common tools for the analysis of pipe failures and leakages [12–17]. Moreover, mathematical approaches, such as fuzzy sets, artificial neural networks or k-nearest neighbours algorithm have been developed lately for predicting water pipes failures or evaluating leakage potential [18–22]. These activities are very important in the aspect of water distribution quality and reliability, but they are not the only way to limit problems connected with pipes failures. Even the best high-tech systems do not protect against randomly-occurring failures. Thus, we propose to support the existing methods and activities by establishing a protection zone on the soil surface over a buried water network, where the outflow of water is possible after a potential failure of the pipe. Infrastructure and settlement in this zone should be carefully planned in order to exclude the possibility of diminishing stability of objects as well as to limit the social, economic and environmental costs in the case of leakage from a water pipe.
The presented investigations include the laboratory tests of a buried water pipe breakage for different cases of leak areas and values of hydraulic pressure head in the pipe and analysis of a distance between the place of water outflow on the soil surface and the location of the water failure, in the aspect of protection zone determination.
The first part of investigations involved physical simulations of a water pipe breakage, conducted in a laboratory on the setup reflecting the actual conditions scaled 1:10. The main part of the setup was an intentionally damaged water pipe buried in sand, supplied with water from a container located on the assumed height. The tests were conducted for four different values of leak areas (4.71, 9.42, 15.07 and 18.84 cm2) and hydraulic pressure head in a pipe varied in the range from 3.0 to 6.0 m H2O, each 0.5 m. Detailed descriptions of the laboratory setup and realisation of the tests are given in the papers [2, 23, 24]. The statistical analysis, including the normality evaluation of measurements results obtained during physical simulations of a water pipe breakage in a laboratory, is presented in the article [25].
The subject of investigations in the range of the presented paper is a horizontal distance (
Scheme of protection zone along a water pipe
Upper limit (
Kind of data
|
Data |
|||
---|---|---|---|---|
4.41 | 9.42 | 15.07 | 18.84 | |
3.0 |
|
|
|
|
3.5 |
|
|
|
|
4.0 |
|
|
|
|
4.5 |
|
|
|
|
5.0 |
|
|
|
|
5.5 |
|
|
|
|
6.0 |
|
|
|
|
|
The results of the summarizing data set obtained during laboratory investigations are given in Table 2. The values of standard deviation indicate a high dispersion of data
Median, mean and standard deviation of data
Parameter | Leak area [cm2] | Value of parameter for the pressure head |
||||||
---|---|---|---|---|---|---|---|---|
3.0 | 3.5 | 4.0 | 4.5 | 5.0 | 5.5 | 6.0 | ||
Median [cm] | 4.71 | 4.19 | 8.13 | 10.52 | 10.33 | 21.05 | 21.82 | 11.77 |
Mean [cm] | 5.70 | 9.98 | 14.61 | 13.34 | 20.82 | 21.71 | 10.09 | |
Standard deviation [cm] | 4.05 | 6.33 | 8.23 | 8.99 | 4.79 | 8.03 | 7.42 | |
Median [cm] | 9.42 | 15.69 | 14.16 | 21.76 | 19.74 | 24.59 | 10.06 | 8.74 |
Mean [cm] | 16.22 | 13.83 | 21.64 | 22.58 | 23.14 | 19.17 | 8.82 | |
Standard deviation [cm] | 9.74 | 5.32 | 10.24 | 11.30 | 16.80 | 16.10 | 2.54 | |
Median [cm] | 15.07 | 4.54 | 14.41 | 18.59 | 14.79 | 24.94 | 25.48 | 32.64 |
Mean [cm] | 6.22 | 13.55 | 15.38 | 16.76 | 24.53 | 22.89 | 34.70 | |
Standard deviation [cm] | 2.83 | 3.09 | 7.87 | 11.06 | 5.57 | 8.18 | 8.14 | |
Median [cm] | 18.84 | 11.73 | 13.26 | 9.58 | 35.47 | 11.23 | 9.98 | 10.47 |
Mean [cm] | 10.96 | 12.78 | 12.58 | 31.04 | 10.33 | 10.71 | 10.70 | |
Standard deviation [cm] | 3.40 | 3.99 | 7.89 | 7.88 | 3.28 | 4.01 | 4.75 |
The main part of investigations was to determine the upper tolerance limits
The mean of data obtained for different
Mean and extremal values of calculated upper tolerance limits
Leak area [cm2] | Upper tolerance limit [cm] for tolerance level | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
70% | 80% | 90% | ||||||||||
min | mean | max | range | min | mean | max | range | min | mean | max | range | |
4.71 | 12.69 | 25.75 | 34.27 | 21.59 | 14.34 | 28.59 | 37.24 | 22.90 | 16.79 | 32.80 | 41.94 | 25.15 |
9.42 | 13.57 | 37.31 | 56.40 | 42.83 | 14.70 | 41.89 | 64.27 | 49.57 | 16.37 | 48.69 | 75.92 | 59.56 |
15.07 | 11.85 | 31.56 | 51.91 | 40.07 | 13.18 | 34.50 | 55.98 | 42.81 | 15.15 | 38.85 | 62.02 | 46.87 |
18.84 | 17.34 | 24.08 | 47.70 | 30.37 | 18.90 | 26.43 | 51.65 | 32.74 | 21.23 | 29.91 | 57.49 | 36.26 |
More detailed information about an upper tolerance limit for data
Values of the upper tolerance limit for data
Values of the upper tolerance limit for data
Values of the upper tolerance limit for data
Values of the upper tolerance limit for data
Obviously, higher tolerance level results in higher
Dependence between the increases
A leak area is impossible to foresee under the actual conditions of water network maintenance before breakage occurs, whereas a range of operating pressure is always known. Thus, it seems to be sensible to examine the dependence between
Values of the upper tolerance limit for data y obtained for all leak areas
The width of protection zone according to operating pressure in a water pipe
|
Tolerance level [%] |
|
Calculated protection zone width [m] | Proposed protection zone width [m] |
---|---|---|---|---|
3.0 | 80 | 26.55 | 5.31 | 5.0 |
3.5 | 80 | 24.58 | 4.92 | 5.0 |
4.0 | 80 | 35.14 | 7.03 | 7.0 |
4.5 | 80 | 34.52 | 6.90 | 7.0 |
5.0 | 80 | 37.16 | 7.43 | 7.0 |
5.5 | 80 | 34.26 | 6.85 | 7.0 |
6.0 | 80 | 35.00 | 7.00 | 7.0 |
The protection zone width should be such adjusted to ensure the adequate security of infrastructure on the one hand, and on the other hand, not to hinder a land development. An excessively wide zone can create problems connected with the location of a water pipe or other infrastructure. The increase of
The proposed width of a protection zone along a water pipe is an approximation and pertains to specific laboratory conditions, so it cannot be treated as a general guideline for water network designing. However, the obtained results encourage the continuation of this research direction, drawing particular attention to the parameters influencing the phenomenon of water leaking from a damaged pipe to the soil medium.