Identifying houses with internal lead piping across
机器学习代做 | cv作业 | project Neural Networks 代写 – 该题目是一个常规的机器学习的练习题目代写, 是比较典型的机器学习/Neural Networks等代写方向, 这个项目是project代写的代写题目
Scotland (Part 2)
project leader: Finn Lindgren
Due to its malleability, low melting point, corrosion resistance, and versatility lead has been used in plumbing systems since ancient times and remains ubiquitous in the UK plumbing network (Rocha and Trujillo 2019). Owing to its toxic and persistent nature, lead is considered one of the most important environmental pollutants and is a major threat to human health (Boskabady et al. 2018). Scottish Water has worked to remove lead pipes from the mains distribution system although some pipes carrying water to customers houses may still be made of lead and require replacement. Scottish Water would like to identify specific areas of Scotland with significant levels of lead in drinking water to identify areas which are likely to contain lead pipes in the water distribution network. Water quality data have been collected from customers tap water throughout Scotland and analysed for water quality determinants (lead, pH, temperature, phosphate). These determinants may also be affected by the time of year when samples were taken.
The aims of this project are to identify areas throughout Scotland which are hotspots for lead contamination in tap water; determine whether lead content in tap water shows seasonal patterns or is affected by water temperature; identify possible risk factors for returning a water sample which is positive for lead.
Datasets provided include:
Water quality data (including lead concentration values) collected from houses in Scotland
from 2010 to 2018 using various sampling procedures
Scottish house quality data for houses sampled randomly from each street postcode
Communication pipe data describing composition, length and age of pipes supplying houses
from the mains distribution network
Useful courses: Generalised Regression Models, Bayesian Data Analysis
References:
[1] Boskabady M, Marefati N, Farkhondeh T, Shakeri F, Farshbaf A and Boskabady MH (2018) The effect of environmental lead exposure on human health and the contribution of inflammatory mechanisms, a review. Environment International 120 404-420. https://doi.org/10.1016/j.envint.2018.08. [2] Rocha A and Trujillo KA (2019) Neurotoxicity of low-level lead exposure: History, mechanisms of action, and behavioral effects in humans and preclinical models. NeuroToxicology 73 58-80. https://doi.org/10.1016/j.neuro.2019.02. [3] Drinking Water Quality Regulator for Scotland: https://dwqr.scot/ [4] Scottish Water and lead: https://www.scottishwater.co.uk/en/Your-Home/Your-Water/Lead-and-Your-Water [5] Shapefiles for UK boundaries: http://geoportal.statistics.gov.uk/search?q=NUTS1_Boundaries%