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<h2>HL Paper 1</h2><div class="specification">
<p>The diagram shows possible impacts of an earthquake on a city and its community.</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
<p style="text-align: center;">[Source: Grant Agreement No 244061 – Project acronym: SYNER-G]</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Briefly outline <strong>two</strong> long-term impacts of infrastructure damage that could be included in Box A.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how <strong>one</strong> characteristic of a community’s population structure can affect its vulnerability to earthquakes.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain <strong>three</strong> strategies that could increase the personal resilience of community members to an earthquake event such as the one shown in the diagram.</p>
<div class="marks">[6]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Award <strong>[1]</strong> for each valid <strong>long-term</strong> impact on society (defined as persisting beyond the initial event, eg power supply disruptions lasting for weeks, or loss of schools harming education for many years)</em>.</p>
<p>Possibilities include:</p>
<ul>
<li>lack of schools/education for community children</li>
<li>widespread mortality from long-term lack of hospitals / disease</li>
<li>persistence of polluted water supplies</li>
<li>homelessness due to destroyed buildings.</li>
</ul>
<p><em>Award <strong>[1]</strong> for two impacts whose long term or community aspect cannot be inferred. For example “roads closed” and “no electricity” would together be worth <strong>[1]&nbsp;</strong>only</em>.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Award <strong>[1]</strong> for a valid characteristic and <strong>[1]</strong> for outlining the effect on vulnerability</em>.</p>
<p>For example: An elderly population structure <strong>[1]</strong> could mean larger numbers of people would be likely to suffer serious injuries due to their limited mobility <strong>[1]</strong>.</p>
<p>Other possibilities include:</p>
<ul>
<li>Large proportion of children – could heighten vulnerability if a school is destroyed.</li>
<li>High dependency ratio means that the population has disproportionately large number of young and elderly who would be less able to respond appropriately.</li>
</ul>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Resilience describes the ability to recover/resume normal operations following a hazard event. This can be achieved in various ways, before, during and immediately after the event.</p>
<p><em>In each case, award <strong>[1]</strong> for a strategy and <strong>[1]</strong> for the explanation of how resilience is increased</em>.</p>
<p>For example: Some individuals have fitted their houses with automatic shutdown switches <strong>[1]</strong>, which reduces their vulnerability/increases their resilience to the secondary hazard of fires <strong>[1]</strong>.</p>
<p>Personal resilience is achieved through:</p>
<ul>
<li>increased preparedness (for example personal emergency kits, adaptations to homes)</li>
<li>use of insurance</li>
<li>adoption of new technologies (for example smartphone apps related to advance warning)</li>
<li>education in use of bamboo to strengthen building design.</li>
</ul>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>This was generally well answered, although sometimes the impacts were insufficiently developed to gain full marks.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question caused a problem for the many candidates who did not understand the term "population structure", often writing about poverty or population density. There were some good responses relating to high dependency ratios, or large numbers of elderly/children in a population.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many good responses, but some did not develop each point adequately or consider "personal resilience" in their answers.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Examine the severity of the impacts of different types of mass movement on human well-being.</p>
<div class="marks">[10]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Examine the effectiveness of technology and planning strategies in reducing human vulnerability to volcanic hazards.</p>
<div class="marks">[10]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Marks should be allocated according to the Paper 1 markbands (available under the "Your tests" tab &gt; supplemental materials).</em></p>
<p>Human well-being is a broad concept, which can be measured in a variety of different ways. It includes social factors, morbidity and mortality rates, health, education, human rights, access to resources (food, shelter, water) and employment, and quality of life. Different types of mass movement include fast/slow, solid/loose: such as landslides, rockslides, debris or mud flows.</p>
<p>Possible <strong>applied themes</strong> (AO2) demonstrating <strong>knowledge and understanding</strong> (AO1):</p>
<ul>
<li>Human well-being is a broad concept, including social factors, such as health, education, access to resources and quality of life, economic and political factors.</li>
<li>Different types of mass movement include: landslides, rockslides, debris or mud flows.</li>
<li>Mass movement can have significant economic, social and health impacts, including — morbidity and mortality rates, deaths and injuries.</li>
<li>The severity of the impact on human well-being will partly depend on the type of mass movement and will vary spatially between different places.</li>
<li>The severity may be considered in terms of long and short-term impacts.</li>
</ul>
<p>Good answers may be <strong>well-structured</strong> (AO4) and may additionally offer a <strong>critical evaluation</strong> (AO3) of the statement in a way that reaches an evidenced judgment regarding the importance of different types and <span style="text-decoration:underline;">processes</span> of mass movement in affecting human well-being in different <span style="text-decoration:underline;">places</span>. Another approach might be to examine the severity of the impacts in terms of different time <span style="text-decoration:underline;">scales</span> (long and short term).</p>
<p><strong>For 5–6 marks</strong>, expect weakly-evidenced outlining of the impact of at least one type of mass movement on human well-being.</p>
<p><strong>For 7–8 marks</strong>, expect a well-structured account that includes:</p>
<ul>
<li>
<span style="text-decoration:underline;">either</span> an evidenced explanation of the severity of impacts of two or more types of mass movement on human well-being</li>
<li>
<span style="text-decoration:underline;">or</span> a discursive conclusion (or ongoing evaluation) grounded in geographical concepts and/or perspectives, perhaps considering severity at different time scales.</li>
</ul>
<p><strong>For 9–10 marks</strong>, expect <span style="text-decoration:underline;">both</span> of these traits.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Marks should be allocated according to the Paper 1 markbands (available under the "Your tests" tab &gt; supplemental materials).</em></p>
<p>Increasing numbers of people are living in areas of hazardous volcanic activity, especially near destructive plate margins associated with violent, explosive volcanoes. People may be especially vulnerable to the destructive effects of rapid flows of lava and pyroclastics, and large-scale ash falls. Management strategies involving the use of planning and technology might contribute to the reduction of human vulnerability to volcanic hazards.</p>
<p>Possible <strong>applied themes</strong> (AO2) demonstrating <strong>knowledge and understanding</strong> (AO1):</p>
<ul>
<li>Technologies might be used to predict future volcanic eruptions, including monitoring of volcanic activity, seismic and crater monitoring surveys; GPS surveys to measure changes in shape of volcanoes, and monitoring of movements in the magma chamber.</li>
<li>Other technological strategies might include: improving telecommunications (SMS messages) to give warnings of possible eruptions.</li>
<li>Planning strategies could include mapping of volcanic areas to produce hazard-zone maps; land use zoning.</li>
<li>Education and drills to warn and inform people what to do in case of an eruption; evacuation plans.</li>
<li>Planning and technologies to locate and rescue survivors, and rehabilitation plans for the aftermath of an eruption.</li>
<li>The effectiveness of these strategies will depend partly on levels of economic development, and on the perception of the hazard by local people and other stakeholders.</li>
</ul>
<p>Good answers may be <strong>well-structured</strong> (AO4) and may additionally offer a <strong>critical evaluation</strong> (AO3) of the statement in a way that reaches an evidenced judgment regarding the effectiveness of different strategies, and the <span style="text-decoration:underline;">power</span> of different stakeholders in reducing vulnerability. Another approach might be to consider effectiveness in terms of the <span style="text-decoration:underline;">scale</span> of hazard events in different <span style="text-decoration:underline;">places</span>.</p>
<p><strong>For 5–6 marks</strong>, expect weakly-evidenced outlining of technological and/or planning strategies.</p>
<p><strong>For 7–8 marks</strong>, expect a well-structured account that includes:</p>
<ul>
<li>
<span style="text-decoration:underline;">either</span> an evidenced explanation of the effectiveness of technology and planning strategies in reducing human vulnerability</li>
<li>
<span style="text-decoration:underline;">or</span> a discursive conclusion (or ongoing evaluation) grounded in geographical concepts and/or perspectives, discussing the relative effectiveness of strategies.</li>
</ul>
<p><strong>For 9–10 marks</strong>, expect <span style="text-decoration:underline;">both</span> of these traits.</p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>It was disturbing that so many candidates appeared to be unaware of the meaning of the term mass movement and this essay was generally poorly answered. Many related the term to earthquakes or even population migration. There were, however, some excellent answers which were well structured and exemplified.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question was popular and generally well answered, with both terms technology and planning understood and good use of case studies. In some there was limited understanding of what different methods of technology eg tiltmeter, actually measured. Weaker answers were very general with no examples and very basic content and many giving historic examples eg Vesuvius. There was often a lack of discussion regarding effectiveness of strategies and writing everything they knew about their case study.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br>