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Investigate changes in beach characteristics with increasing distance along the shore, Walton on the Naze, Essex.

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WALTON ON THE NAZE, ESSEX Photo1.1 Purpose of investigation Title: To what extent do beach characteristics change with increasing distance along shore. Overall fieldwork aim: To investigate changes in beach characteristics with increasing distance along the shore, Walton on the Naze, Essex. Hypothesis: 1. 'As beach height increases sediment size increases' 2. 'As sediment size increases percolation rates increase.' 3. 'There will be significant relationships between percolation rate and beach height.' In this A Level Geography coursework my coursework is based on the shore of Walton on the Naze. I am aiming to investigate changes in beach characteristics with distance along the shore. During the investigation of beach characteristics, two sites got investigated by groups of 4 people and total of 4 groups in Walton beach. Each group were carrying same investigation and from straight of 20 metre distance transect beach height, beach percolation, beach sediment of shore got measured by different sets of apparatus. WALTON ON THE NAZE Walton on the Naze is situated approximately 80km East of Bishops Stortford. It is a small seaside town, on the Tendring Peninsula, on the Essex Coast by the North Sea about 85 miles North of East London. Part of the town is situated on a headland called the 'Naze'. The Naze is made of soft rocks, which are easily eroded by the sea and since 1963 over 2 hectares of land have been lost to the sea. It is estimated that 2 metres of land are lost very year as a result of erosion. Walton is built on top of low cliffs, the lower half being composed of London clay, red crag above it. INDEX 1. --- Purpose of Investigation --->Pages 2. --- Methodology of data selection, collection and recording ---> Pages 3. --- Data representation --->Pages 4. --- Analysis and explanation --->Pages 5. --- Evaluation and conclusion --->Pages Section 1: Purpose of Investigation Background Information Walton-on-the-Naze is a small retirement town, located near Colchester via the A133 with a population of 40,000. ...read more.


Websites used are: www.google.com for maps, pictures www.glory-people.org for maps Geography 'An integrated approach' book by David Waugh also used as a reference for some theory. Section 3: Data Representation and Analysis & Explanation Spearman's Rank Correlation: Step 1: The Null Hypothesis 'There will be no significant relationship between beach height and sediment size.' Step 2: Scatter Graph The reasons why in calculation the result is positive digit and bigger than critical value is because it is just a calculation by Spearman's rank way and I am not comparing managed to unmanaged section in my coursework. The way and the above graph's x dots show the managed side and unmanaged side clearly also from 0 to 6 mm/m are mainly unmanaged section's dots but from 6 to 12 mm/m are mainly managed section's dots. The graph shows as beach height increases the sediment size increase which is what expected because while recording data this was noticeable. Step 3: Spearman's rank (rs) table n Beach height Rank 1 Sediment Size Rank 2 d d2 1 10.775 10 1656 11 -1 1 2 15.725 12 1024 8 4 16 3 12.2 11 1203 9 2 4 4 9.7 8 1555 10 -2 4 5 11.58 9 2120 12 -3 9 6 8.225 5 910 7 -2 4 7 7.55 3 615 4 -1 1 8 8.6 6 430.6 2 4 16 9 7.7 4 289.6 1 3 9 10 8.775 7 873.6 6 1 1 11 7.225 2 614 3 -1 1 12 6.55 1 860 5 -4 16 n=12 d2 82 (n3-n)=1728 -12=1716 6?d2 492 rs = Spearman's rank correlation coefficient d = difference between the rank values of the samples n = the number of paired data samples 6? d2 rs =1- [ ] = 1 - [ 492 ] = 1 - 0.287 = 0.713 (n3 - n) 1716 rs = 0.713 (to 3.s.f) ...read more.


Overall findings are: rs = 0.713 > critical value = 0.5874 Reject the null hypothesis. There is a significant positive relationship between the mean beach height and sediment size. rs = 0.678 > critical value = 0.5874 Reject the null hypothesis. There is a significant positive relationship between the mean sediment size and percolation rates. rs = 0.664 > critical value = 0.5874 Reject the null hypothesis. There is a significant positive relationship between the mean percolation rates and beach height. During the coastal investigation, it is known that each variable got its own limitations and the main ones for each variable are: Percolation Rate --- Time of year because if the land is wet then time for water to percolate will be more than if the soil is dry. Sediment Size --- Human error because after separating the pebbles from sand, weight reading and weight exchange can make confusion and mistakes on numbers which can result unreliable data. Beach height --- Landscape shape because shape of land really matters for e.g. anomalies where first 5 metre beach height is 7 mm/m then second place is 15 mm/m then its 5 mm/m so this means landscape shape plays big role in readings or results. The sample size 20 metre transect was enough to prove accurate data but sampling strategy of 2 sites wasn't good enough because results of 2 sites compared to another 2 sites along the shore can be a lot better than comparing one site to another. This will allow human errors to spot easily as well. The methods for 3 beach characteristics were well thought and there were nothing needed to make changes to improve methods which are because these methods have been already updated for us to allow us to record accurate set of data. The improvements could be measuring beach characteristics not just in winter but also in summer and make 4 sites to be examined which can have huge impact on final result's accuracy. ?? ?? ?? ?? 1 ...read more.

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