采用SWOT分析法和AHP法对印尼Arjasa子流域进行土壤质量评价和土地能力评价,确定流域综合治理模式

Bambang Hermiyanto , Cindia Mawarni , Sugeng Winarso , Subhan Arief Budiman
{"title":"采用SWOT分析法和AHP法对印尼Arjasa子流域进行土壤质量评价和土地能力评价,确定流域综合治理模式","authors":"Bambang Hermiyanto ,&nbsp;Cindia Mawarni ,&nbsp;Sugeng Winarso ,&nbsp;Subhan Arief Budiman","doi":"10.1016/j.wsee.2025.02.001","DOIUrl":null,"url":null,"abstract":"<div><div>Arjasa sub-watershed is the upstream area of Bedadung watershed, playing a significant role in Jember Regency. Damage to this area can be caused by inappropriate land use and management, leading to a<!--> <!-->substantial reduction in the health of Bedadung watershed. Despite the significant role, there is no information on the level of soil quality and land capability in Arjasa sub-watershed that can be used for condition monitoring. Furthermore, there is a lack of previous analysis on determining the integrated watershed management model (IWMM). Therefore, this study aims to define the level of soil quality and land capability classes (LCC) as well as construct appropriate IWMM through SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis and AHP (Analytical Hierarchy Process) method. The research revealed that the average SQI ranges between the low category (0.38) in cluster 3, medium (0.49 – 0.53) in clusters 1, 2, 5, 6, 7, and the good category (0, 77) in cluster 4. The indicators determining SQI included in MDS are Ca, organic C, pH H2O, and base saturation, respectively. Apart from that, this research identified four LCCs, namely classes IV, VI, VII, and VIII with the main limiting factors being permeability, erosion rate, and slope. Class IV is found in cluster 1 and Cluster 7 with a total area of 626.6 ha (18.6 %). Class VI is found in cluster 5 with a total area of 107.6 ha (3.2). Class VII is found in clusters 2, 3, and 6 with a total area of 2,132.1 ha (63.4 %). Meanwhile, Class VIII is in cluster 4 with a total area of ​​497.8 ha (14.8 %). From the aspect of land capability, only clusters 1 and 7 can be used for agricultural cultivation, while the other clusters are not suitable for agricultural land. It was concluded that the main priority of IWMM models those suitable to the characteristic of the research site is law enforcement against offenders of illegal logging and inappropriate land use practices.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 104-118"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Soil quality assessment and land capability evaluation for determining integrated watershed management model through SWOT analysis and AHP method in Arjasa Sub-watershed, Indonesia\",\"authors\":\"Bambang Hermiyanto ,&nbsp;Cindia Mawarni ,&nbsp;Sugeng Winarso ,&nbsp;Subhan Arief Budiman\",\"doi\":\"10.1016/j.wsee.2025.02.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Arjasa sub-watershed is the upstream area of Bedadung watershed, playing a significant role in Jember Regency. Damage to this area can be caused by inappropriate land use and management, leading to a<!--> <!-->substantial reduction in the health of Bedadung watershed. Despite the significant role, there is no information on the level of soil quality and land capability in Arjasa sub-watershed that can be used for condition monitoring. Furthermore, there is a lack of previous analysis on determining the integrated watershed management model (IWMM). Therefore, this study aims to define the level of soil quality and land capability classes (LCC) as well as construct appropriate IWMM through SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis and AHP (Analytical Hierarchy Process) method. The research revealed that the average SQI ranges between the low category (0.38) in cluster 3, medium (0.49 – 0.53) in clusters 1, 2, 5, 6, 7, and the good category (0, 77) in cluster 4. The indicators determining SQI included in MDS are Ca, organic C, pH H2O, and base saturation, respectively. Apart from that, this research identified four LCCs, namely classes IV, VI, VII, and VIII with the main limiting factors being permeability, erosion rate, and slope. Class IV is found in cluster 1 and Cluster 7 with a total area of 626.6 ha (18.6 %). Class VI is found in cluster 5 with a total area of 107.6 ha (3.2). Class VII is found in clusters 2, 3, and 6 with a total area of 2,132.1 ha (63.4 %). Meanwhile, Class VIII is in cluster 4 with a total area of ​​497.8 ha (14.8 %). From the aspect of land capability, only clusters 1 and 7 can be used for agricultural cultivation, while the other clusters are not suitable for agricultural land. It was concluded that the main priority of IWMM models those suitable to the characteristic of the research site is law enforcement against offenders of illegal logging and inappropriate land use practices.</div></div>\",\"PeriodicalId\":101280,\"journal\":{\"name\":\"Watershed Ecology and the Environment\",\"volume\":\"7 \",\"pages\":\"Pages 104-118\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Watershed Ecology and the Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S258947142500004X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Watershed Ecology and the Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S258947142500004X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

Arjasa子流域是贝大东流域的上游地区,在11月摄政期间发挥了重要作用。不适当的土地使用和管理可能对这一地区造成损害,导致贝大洞流域的健康状况大幅下降。尽管具有重要作用,但没有关于Arjasa次流域土壤质量和土地能力水平的信息可用于条件监测。此外,对于流域综合管理模式(IWMM)的确定,前人也缺乏相关的分析。因此,本研究旨在通过SWOT (Strengths, Weaknesses, Opportunities, and Threats)分析和AHP (Analytical Hierarchy Process)方法定义土壤质量水平和土地能力等级(LCC),并构建相应的IWMM。研究表明,平均SQI范围在聚类3的低类别(0.38),聚类1、2、5、6、7的中类别(0.49 - 0.53)和聚类4的好类别(0,77)之间。MDS中测定SQI的指标分别为Ca、有机C、pH H2O和碱饱和度。此外,本研究还确定了4个lcc,即IV、VI、VII和VIII类,其主要限制因素是渗透率、侵蚀速率和坡度。IV类分布在集群1和集群7,总面积为626.6 ha(18.6%)。第VI类位于第5群,总面积为107.6公顷(3.2)。第七类分布在集群2、3和6,总面积为2132.1公顷(63.4%)。第八类在第四集群,总面积497.8 ha(14.8%)。从用地容量来看,只有集群1和集群7可用于农业种植,其他集群均不适宜用于农业用地。结论认为,适合研究地点特点的IWMM模型的主要优先事项是对非法采伐和不适当土地利用行为的罪犯进行执法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil quality assessment and land capability evaluation for determining integrated watershed management model through SWOT analysis and AHP method in Arjasa Sub-watershed, Indonesia
Arjasa sub-watershed is the upstream area of Bedadung watershed, playing a significant role in Jember Regency. Damage to this area can be caused by inappropriate land use and management, leading to a substantial reduction in the health of Bedadung watershed. Despite the significant role, there is no information on the level of soil quality and land capability in Arjasa sub-watershed that can be used for condition monitoring. Furthermore, there is a lack of previous analysis on determining the integrated watershed management model (IWMM). Therefore, this study aims to define the level of soil quality and land capability classes (LCC) as well as construct appropriate IWMM through SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis and AHP (Analytical Hierarchy Process) method. The research revealed that the average SQI ranges between the low category (0.38) in cluster 3, medium (0.49 – 0.53) in clusters 1, 2, 5, 6, 7, and the good category (0, 77) in cluster 4. The indicators determining SQI included in MDS are Ca, organic C, pH H2O, and base saturation, respectively. Apart from that, this research identified four LCCs, namely classes IV, VI, VII, and VIII with the main limiting factors being permeability, erosion rate, and slope. Class IV is found in cluster 1 and Cluster 7 with a total area of 626.6 ha (18.6 %). Class VI is found in cluster 5 with a total area of 107.6 ha (3.2). Class VII is found in clusters 2, 3, and 6 with a total area of 2,132.1 ha (63.4 %). Meanwhile, Class VIII is in cluster 4 with a total area of ​​497.8 ha (14.8 %). From the aspect of land capability, only clusters 1 and 7 can be used for agricultural cultivation, while the other clusters are not suitable for agricultural land. It was concluded that the main priority of IWMM models those suitable to the characteristic of the research site is law enforcement against offenders of illegal logging and inappropriate land use practices.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信