Analisis Variabilitas Simpanan Air Dan Respons Vegetasi Menggunakan Data Satelit (Studi Kasus : Das Cilamaya, Jawa Barat)

Mosyafwa, Bimo Rangga Alfaroby (2025) Analisis Variabilitas Simpanan Air Dan Respons Vegetasi Menggunakan Data Satelit (Studi Kasus : Das Cilamaya, Jawa Barat). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemantauan sumber daya air di Daerah Aliran Sungai (DAS) kritis seperti DAS Cilamaya menjadi krusial akibat tingginya tekanan dari sektor pertanian dan industri, serta adanya perubahan hidrologi akibat pembangunan Bendungan Sadawarna. Penelitian ini bertujuan untuk menganalisis dinamika simpanan air dan respons vegetasi menggunakan pendekatan penginderaan jauh terintegrasi. Metode yang digunakan adalah analisis deret waktu dari data satelit GRACE (TWS), GLDAS (SMS), CHIRPS (curah hujan), dan MODIS (NDVI) pada platform Google Earth Engine untuk periode 2019-2024, dengan analisis terpisah untuk periode pra dan pasca-operasionalisasi bendungan. Hasil analisis kuantitatif menunjukkan adanya jeda waktu (time lag) rata-rata selama 3 bulan antara puncak curah hujan dengan puncak pengisian kembali simpanan air tanah (GWS). Secara spasial, korelasi antara GWS dan curah hujan tidak menunjukkan adanya zona resapan positif yang luas, melainkan didominasi oleh hubungan berbanding terbalik (mencakup 84,3% area), yang mengkonfirmasi kuatnya pengaruh jeda waktu di seluruh DAS. Hubungan antara ketersediaan air total (TWS) dan vegetasi (NDVI) juga menunjukkan tidak adanya korelasi di sebagian besar wilayah (63,06%),
yang merefleksikan dominasi pertanian irigasi. Setelah operasionalisasi bendungan pada akhir 2022, sinyal TWS menunjukkan lonjakan ekstrem hingga +238.9 mm yang tidak diikuti kenaikan GWS, membuktikan bahwa simpanan air permukaan (SW) dari bendungan telah menjadi sinyal hidrologi dominan. Kesimpulan dari penelitian ini adalah bahwa hidrologi DAS Cilamaya memiliki karakteristik respons air tanah yang lambat dan kini telah bertransisi menjadi sistem yang sangat terkelola di mana sinyal dari Bendungan Sadawarna mendominasi variabilitas total simpanan air yang teramati dari satelit.
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Monitoring water resources in critical watersheds such as the Cilamaya Watershed is crucial due to high pressure from the agricultural and industrial sectors, as well as hydrological shifts from the construction of the Sadawarna Dam. This study aims to analyze water storage dynamics and vegetation response using an integrated remote sensing approach. The method involves time-series analysis of satellite data from GRACE (TWS), GLDAS (SMS), CHIRPS (precipitation), and MODIS (NDVI) on the Google Earth Engine platform for the period 2019-2024, with a separate analysis for pre- and post-dam operational periods. Quantitative results show an average 3-month time lag between peak precipitation and peak groundwater storage (GWS) recharge. Spatially, the correlation between GWS and precipitation does not show extensive positive recharge zones; instead, it is dominated by an inverse relationship (covering 84.3% of the area), confirming the strong influence of the time lag across the watershed. The relationship between total water storage (TWS) and vegetation (NDVI) is also characterized by a lack of correlation over the majority of the area (63.06%), reflecting the dominance of irrigated agriculture. Following the dam's operationalization in late 2022, the TWS signal exhibited an extreme peak of +238.9 mm not mirrored by a rise in GWS, proving that surface water storage (SW) from the dam has become the dominant hydrological signal. This study concludes that the Cilamaya watershed's hydrology is characterized by a slow groundwater response and has now transitioned into a highly managed system where the signal from the Sadawarna Dam dominates the total water storage variability observed by satellites.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	GRACE, TWS, GWS, DAS Cilamaya, Jeda Waktu, Bendungan Sadawarna,Google Earth Engine, GRACE, TWS, GWS, Cilamaya Watershed, Time Lag, Sadawarna Dam, Google Earth Engine.
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing G Geography. Anthropology. Recreation > GB Physical geography > GB1003.2 Groundwater.
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	Bimo Rangga Alfaroby Mosyafwa
Date Deposited:	05 Aug 2025 07:55
Last Modified:	14 Aug 2025 03:36
URI:	http://repository.its.ac.id/id/eprint/126849

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