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    <dcat:Catalog>
        <dcat:dataset>
            <dcat:Dataset>
                <dct:description xml:lang="kr">경상남도 해역 내 산소부족 물덩어리(빈산소수괴) 어업재해로 인해 발생한 양식수산물 피해 데이터입니다.<br/><br/>1. 제공내용 : 연도, 시·군, 품종별 피해 데이터(어가 수, 피해량, 피해금액, 복구지원액)<br/>2. 제공범위 : 2024년 이후, 경상남도 해역<br/>3. 데이터 참고사항<br/>  가. 피해량 단위 : 줄(100m)<br/>  나. 피해금액 및 복구지원액 단위 : 백만원<br/>  다. 복구지원액은 재난지원금(국비 및 지방비)과 자부담금과 융자금의 합계액이며, 재해보험으로 처리 시 복구지원액 없음<br/><br/>※ 산소부족 물덩어리(빈산소수괴)란 바닷물에 녹아있는 산소농도 3mg/L 이하인 물덩어리로, 「농어업재해대책법」 제2조 등에 따른 어업재해(이상조류)에 해당합니다.<br/>※ 피해 복구지원과 관련된 자세한 내용은 「농어업재해대책법」, 「어업재해 피해조사 보고 및 복구지원 요령」 등 관련 규정을 참고하시기 바랍니다.<br/>※ 본 데이터 내용은 경상남도 "해양수산 현황" 자료집에서도 확인하실 수 있습니다.</dct:description>
                <dct:description xml:lang="en">This is data on damage to farmed aquatic products caused by fisheries disasters involving oxygen-deficient water masses (hypoxic water masses) within the waters of Gyeongsangnam-do. 1. Contents Provided: Damage data by year, city/county, and species (number of fishing households, amount of damage, amount of damage, amount of recovery support) 2. Scope of Provided: Waters of Gyeongsangnam-do from 2024 onwards 3. Data Notes a. Unit of amount of damage: joules (100m) b. Unit of amount of damage and recovery support: million won c. The amount of recovery support is the sum of disaster relief funds (national and local funds), self-contributions, and loans; no recovery support is provided if processed through disaster insurance. ※ An oxygen-deficient water mass (hypoxic water mass) refers to a body of water with a dissolved oxygen concentration of 3 mg/L or less, and falls under the category of fisheries disasters (abnormal algae) pursuant to Article 2, etc. of the \Agricultural and Fisheries Disaster Countermeasures Act.\ ※ For detailed information regarding damage recovery support, please refer to relevant regulations, such as the \Agricultural and Fisheries Disaster Countermeasures Act\ and the \Guidelines for Reporting Fisheries Disaster Damage and Recovery Support.\ ※ This data is also available in the Gyeongsangnam-do 'Marine and Fisheries Status' report.</dct:description>
                <dct:title xml:lang="kr">경상남도_양식생물 산소부족 물덩어리 피해</dct:title>
                <dct:title xml:lang="en">Gyeongsangnam-do_Damage to farmed aquatic organisms in oxygen-deficient water masses</dct:title>
                <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-06-15</dct:issued>
                <dct:modified rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-06-15</dct:modified>
                <dct:publisher>
                    <foaf:Organization>
                        <foaf:name>경상남도</foaf:name>
                        
                    </foaf:Organization>
                </dct:publisher>
                <dcat:contactPoint>
                    <vcard:Organization>
                        <vcard:organization-unit>수산정책과</vcard:organization-unit>
                        <vcard:hasTelephone rdf:resource="055-211-4014"/>
                    </vcard:Organization>
                </dcat:contactPoint>
                <dct:conformsTo ></dct:conformsTo>
                <dcat:theme>해양수산 - 해양수산·어촌</dcat:theme>
                <dcat:keyword xml:lang="kr">어업재해,산소부족물덩어리,빈산소수괴,수산양식,패류양식</dcat:keyword>
                <dcat:keyword xml:lang="en">fisheries disaster,Oxygen-deficient water mass,hypoxic mass,Aquaculture,Shellfish farming</dcat:keyword>
                <dct:rights>이용허락범위 제한 없음</dct:rights>
                <dct:accrualPeriodicity>월간</dct:accrualPeriodicity>
                
                <dcat:landingPage rdf:resource="https://www.data.go.kr/data/15159886/fileData.do"/>
                <dcat:distribution>
                    <dcat:Distribution>
                        <dct:accessURL ></dct:accessURL>
                        <dcat:description></dcat:description>
                        <dcat:format>csv</dcat:format>
                        <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-06-15</dct:issued>
                        <dcat:title>경상남도_양식생물 산소부족 물덩어리 피해_20251231</dcat:title>
                    </dcat:Distribution>
                </dcat:distribution>
                <dct:spatial></dct:spatial>
                <dct:temporal></dct:temporal>
            </dcat:Dataset>
        </dcat:dataset>

        
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