Linda Sharp: The pioneer woman surfer in a sea of men
Linda Sharp: The pioneer woman surfer in a sea of men BBC
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When Linda Sharp Began Surfing in 1967
By Rowenna Hoskin, BBC News
When Linda Sharp began surfing in 1967, she was the first and only woman to ride the waves all year round in Wales.
She began surfing at 15 at Aberavon in Neath Port Talbot and competed for more than 20 years, winning European, British, and Welsh titles.
At the beginning, Linda had no wetsuit, so she wore a rugby shirt, cut-off jeans, plimsolls, and rubber gloves.
She often surfed against men in the competitions as she won the women’s Welsh championship by default.
“I grew up as one of the boys, then quickly learnt that I could paddle faster than most of them,” Linda said. “I could surf as good as any of them in the water.”
Related Topics
SDGs, Targets, and Indicators
1. No Poverty
- Target 1.2: By 2030, reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definitions.
- Indicator 1.2.1: Proportion of population living below the national poverty line, by sex and age group.
5. Gender Equality
- Target 5.5: Ensure women’s full and effective participation and equal opportunities for leadership at all levels of decision-making in political, economic, and public life.
- Indicator 5.5.1: Proportion of seats held by women in national parliaments and local governments.
6. Clean Water and Sanitation
- Target 6.3: By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater, and increasing recycling and safe reuse globally.
- Indicator 6.3.2: Proportion of bodies of water with good ambient water quality.
11. Sustainable Cities and Communities
- Target 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management.
- Indicator 11.6.2: Annual mean levels of fine particulate matter (e.g., PM2.5 and PM10) in cities (population weighted).
13. Climate Action
- Target 13.3: Improve education, awareness-raising, and human and institutional capacity on climate change mitigation, adaptation, impact reduction, and early warning.
- Indicator 13.3.1: Number of countries that have integrated mitigation, adaptation, impact reduction, and early warning into primary, secondary, and tertiary curricula.
15. Life on Land
- Target 15.5: Take urgent and significant action to reduce the degradation of natural habitats, halt the loss of biodiversity, and protect and prevent the extinction of threatened species.
- Indicator 15.5.1: Red List Index.
Analysis
1. The SDGs addressed or connected to the issues highlighted in the article are:
– No Poverty (SDG 1)
– Gender Equality (SDG 5)
– Clean Water and Sanitation (SDG 6)
– Sustainable Cities and Communities (SDG 11)
– Climate Action (SDG 13)
– Life on Land (SDG 15)
2. Specific targets under those SDGs based on the article’s content are:
– Target 1.2: Reduce the proportion of people living in poverty.
– Target 5.5: Ensure women’s full and effective participation in decision-making.
– Target 6.3: Improve water quality and reduce pollution.
– Target 11.6: Reduce the adverse environmental impact of cities.
– Target 13.3: Improve education and awareness on climate change.
– Target 15.5: Take action to protect biodiversity and prevent species extinction.
3. Indicators mentioned or implied in the article that can be used to measure progress towards the identified targets are:
– Indicator 1.2.1: Proportion of population living below the national poverty line.
– Indicator 5.5.1: Proportion of seats held by women in national parliaments and local governments.
– Indicator 6.3.2: Proportion of bodies of water with good ambient water quality.
– Indicator 11.6.2: Annual mean levels of fine particulate matter in cities.
– Indicator 13.3.1: Number of countries that have integrated climate change education into curricula.
– Indicator 15.5.1: Red List Index, which measures the conservation status of species.
4. Table presenting the findings:
| SDGs | Targets | Indicators |
|———————————|———————————————-|————————————————|
| 1. No Poverty | 1.2: Reduce proportion of people in poverty | 1.2.1: Proportion of population below poverty line |
| 5. Gender Equality | 5.5: Ensure women’s participation in decision-making | 5.5.1: Proportion of seats held by women in parliaments |
| 6. Clean Water and Sanitation | 6.3: Improve water quality | 6.3.2: Proportion of bodies of water with good quality |
| 11. Sustainable Cities | 11.6: Reduce adverse environmental impact of cities | 11.6.2: Annual mean levels of fine particulate matter |
| 13. Climate Action | 13.3: Improve climate change education | 13.3.1: Number of countries with climate change education |
| 15. Life on Land | 15.5: Protect biodiversity and prevent extinction | 15.5.1: Red List Index |
Behold! This splendid article springs forth from the wellspring of knowledge, shaped by a wondrous proprietary AI technology that delved into a vast ocean of data, illuminating the path towards the Sustainable Development Goals. Remember that all rights are reserved by SDG Investors LLC, empowering us to champion progress together.
Source: bbc.com
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