Use of Soil Maps to Predict the Incidence of Corrosion and the Need for Iron Mains Renewal

Jarvis, M. G.; Hedges, M. R.

doi:10.1111/j.1747-6593.1994.tb01094.x

Cited by 13 publications

(7 citation statements)

References 3 publications

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“…In view of all this, the Tigray region, where the Giba catchment is located, has chronically suffered of food insufficiencies. To curb such situations, soil maps have proven to be powerful tools for understanding soil processes [12], for the establishment of technical infrastructure[13], and in support of land management policies [14, 15].…”

Section: Introductionmentioning

confidence: 99%

Understanding spatial patterns of soils for sustainable agriculture in northern Ethiopia’s tropical mountains

et al. 2019

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Knowledge of the geographical distribution of soils is indispensable for policy and decision makers to achieve the goal of increasing agricultural production and reduce poverty, particularly in the Global South. A study was conducted to better understand the soilscapes of the Giba catchment (900–3300 m a.s.l.; 5133 km2) in northern Ethiopia, so as to sustain soil use and management. To characterise the chemical and physical properties of the different benchmark soils and to classify them in line with the World Reference Base of Soil Resources, 141 soil profile pits and 1381 soil augerings at representative sites were analysed. The dominant soil units identified are Leptosol and bare rock (19% coverage), Vertic Cambisol (14%), Regosol and Cambisol (10%), Skeletic/Leptic Cambisol and Regosol (9%), Rendzic Leptosol (7%), Calcaric/Calcic Vertisol (6%), Chromic Luvisol (6%) and Chromic/Pellic Vertisol (5%). Together these eight soil units cover almost 75% of the catchment. Topography and parent material are the major influencing factors that explain the soil distribution. Besides these two factors, land cover that is strongly impacted by human activities, may not be overlooked. Our soil suitability study shows that currently, after thousands of years of agricultural land use, a new dynamic equilibrium has come into existence in the soilscape, in which ca. 40% of the catchment is very suitable, and 25% is moderately suitable for agricultural production. In view of such large suitable areas, the Giba catchment has a good agricultural potential if soil erosion rates can be controlled, soil fertility (particularly nitrogen) increased, available water optimally used, and henceforth crop yields increased.

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Section: Introductionmentioning

confidence: 99%

Understanding spatial patterns of soils for sustainable agriculture in northern Ethiopia’s tropical mountains

et al. 2019

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“…Additional trends have been recognized through an examination of the techniques which are used to identify the presence of MIC in the field studies, the majority of which aimed to correlate soil properties with corrosion risks to the water pipelines to enable improved management of the systems (Table 2). In one study, the soil types found along a pipeline were pitted against standards detailing levels of soil aggressiveness (Jarvis and Hedges 1994). In others, detailed soil analysis of soil samples taken along a pipe was compared with the wall thickness of the pipe or pit depth and pit morphology, as attempts to link different soil characteristics with pipeline corrosion Doyle et al 2003;Melchers et al 2019a,b;Oyewole 2011;Petersen et al 2013;Petersen and Melchers 2014;Restrepo et al 2009;Srikanth et al 2005).…”

Section: Field Studiesmentioning

confidence: 99%

“…Across the studies reviewed, a range of methods were used to identify the potential for MIC. Two studies identified high levels of sulfides in certain types of soils and linked this to a high risk of aggressive corrosion due to the presence of SRB (Doyle et al 2003;Jarvis and Hedges 1994). Another study, in consideration of the risk of MIC, determined that the temperature of soil measured along the pipeline in question was lower than the optimum temperature for growth of SRB and thus the risk was negligible (Restrepo et al 2009).…”

Section: Field Studiesmentioning

confidence: 99%

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Microbiologically influenced corrosion: a review of the studies conducted on buried pipelines

Spark¹,

Wang

Cole

et al. 2020

Corrosion Reviews

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AbstractBuried pipelines are essential for the delivery of potable water around the world. A key cause of leaks and bursts in these pipelines, particularly those fabricated from carbon steel, is the accelerated localized corrosion due to the influence of microbes in soil. Here, studies conducted on soil corrosion of pipelines' external surface both in the field and the laboratory are reviewed with a focus on scientific approaches, particularly the techniques used to determine the action and contribution of microbiologically influenced corrosion (MIC). The review encompasses water pipeline studies, as well as oil and gas pipeline studies with similar corrosion mechanisms but significantly higher risks of failure. Significant insight into how MIC progresses in soil has been obtained. However, several limitations to the current breadth of studies are raised. Suggestions based on techniques from other fields of work are made for future research, including the need for a more systematic methodology for such studies.

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“…Soil type is often touted as an important factor to include in the modeling of deterioration, but numerous soil characteristics may or may not be quantifiable. According to Jarvis and Hedges (1994), the four most important characteristics are soil moisture content, soil acidity, soil aeration, and electrical resistivity. It would be prohibitively expensive to accurately quantify any one of these four characteristics over the large areas that water supply networks usually operate.…”

Section: Problems Underlie Model Developmentmentioning

confidence: 99%

Development of a diagnostic index to guide Maintenance

Silinis¹,

Franks²

2003

Journal AWWA

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As water distribution infrastructure ages, utility managers must weigh the benefits and costs of pipe repairs against those of replacement. Although models have been proposed to help managers make these decisions, they have not been able to incorporate the environmental and geographic factors that influence infrastructure condition. This article introduces a diagnostic tool that uses system data and pipe break records to help managers identify regions across the network that contain aggressive environments and that may be most prone to failure. The aggressivity index (AI) is an indicator based on historical network performance. Spatial disaggregation is used to assess variability within the network; observed break data are used to infer variable aggressivity across the domain. The AI enables current and potential influences of aggressive environments to be factored in without the need to explicitly identify and measure physical properties that may influence degradation of cast‐iron pipe networks. Development of an effective pipe replacement schedule is impossible without insight into the current and future state of deterioration. For systems with a low rate of pipe failure, network monitoring or quantification of influential factors may be almost as expensive as pipe replacement. The AI provides an alternative to costly monitoring‐based approaches to main replacement and enables utility managers to compile an efficient replacement schedule that targets pipes in specific areas.

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Use of Soil Maps to Predict the Incidence of Corrosion and the Need for Iron Mains Renewal

Cited by 13 publications

References 3 publications

Understanding spatial patterns of soils for sustainable agriculture in northern Ethiopia’s tropical mountains

Understanding spatial patterns of soils for sustainable agriculture in northern Ethiopia’s tropical mountains

Microbiologically influenced corrosion: a review of the studies conducted on buried pipelines

Development of a diagnostic index to guide Maintenance

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