Strategi dan teknologi dalam smart watershed management menuju das berkelanjutan (studi literatur). Pelajari strategi & teknologi Smart Watershed Management (SWM) untuk pengelolaan DAS berkelanjutan. Tingkatkan konservasi tanah & air, kurangi pencemar, perkuat ketahanan sosial-ekologis.
Smart Watershed Management (SWM) merupakan pendekatan inovatif dalam pengelolaan daerah aliran sungai (DAS) yang mengintegrasikan teknologi modern, perencanaan strategis, dan partisipasi multipihak. Studi ini merupakan tinjauan literatur sistematik terhadap berbagai publikasi ilmiah yang membahas strategi dan teknologi dalam SWM selama dekade terakhir. Fokus utama kajian mencakup penggunaan model hidrologi (seperti SWAT dan DML-PMA), pendekatan Total Maximum Daily Load (TMDL), serta perencanaan partisipatif berbasis SWOT dan PESTEL. Hasil kajian menunjukkan bahwa keberhasilan SWM bergantung pada integrasi antara pemanfaatan data spasial, penguatan kapasitas kelembagaan, dan keterlibatan masyarakat lokal. Selain itu, SWM terbukti meningkatkan efektivitas konservasi tanah dan air, menurunkan beban pencemar, serta memperkuat ketahanan sosial-ekologis DAS, khususnya di wilayah dengan tekanan lingkungan tinggi. Temuan ini diharapkan dapat menjadi referensi bagi pengambil kebijakan dan peneliti dalam merancang pengelolaan DAS yang adaptif dan berkelanjutan
This systematic literature review, titled "STRATEGI DAN TEKNOLOGI DALAM SMART WATERSHED MANAGEMENT MENUJU DAS BERKELANJUTAN," offers a timely and highly relevant synthesis of approaches for sustainable watershed management. The study aptly addresses the critical need for innovative solutions in managing river basins (DAS) by focusing on Smart Watershed Management (SWM), an integrated framework combining modern technology, strategic planning, and multi-stakeholder participation. Given the increasing environmental pressures on watersheds globally, a comprehensive review of strategies and technologies enabling sustainability is invaluable for both academic and practical communities seeking to foster adaptive and resilient water resource management. The authors have undertaken a robust systematic literature review covering a decade of scientific publications, providing a strong foundation for their analysis. The abstract clearly delineates the key areas of investigation, including the application of sophisticated hydrological models (such as SWAT and DML-PMA), the Total Maximum Daily Load (TMDL) approach for pollution control, and the integration of participatory planning tools like SWOT and PESTEL analyses. The findings effectively highlight that the success of SWM is critically dependent on the synergy between spatial data utilization, strengthened institutional capacity, and active local community involvement. Crucially, the review underscores the tangible benefits of SWM, demonstrating its potential to enhance soil and water conservation, mitigate pollutant loads, and bolster the socio-ecological resilience of watersheds, particularly in vulnerable regions. Overall, this literature review presents a commendable effort to consolidate knowledge on SWM, offering a holistic perspective on its strategic and technological dimensions. The paper's strength lies in its comprehensive scope and its clear identification of success factors and practical benefits, making it a valuable resource for guiding future research and implementation. It successfully positions SWM as an effective paradigm for adaptive and sustainable watershed management, providing a crucial reference point for policymakers, practitioners, and researchers alike. The insights gained from this study are poised to significantly inform the design and implementation of future watershed management initiatives aimed at long-term ecological and societal well-being.
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