IDENTIFIKASI DAN MITIGASI KERENTANAN KEKERINGAN DAS MOYO (Identification and mitigation of drought vulnerability in Moyo Watershed)

Endang Savitri, Irfan Budi Pramono

Abstract


Drought identification is needed as a baseline for its mitigation. Several drought identification methods are available, but they need to be tested in dry climates. The purpose of this study was to identify dry area and its mitigation in Moyo Watershed, West Nusa Tenggara Province. Paimin and Syarif methods were used in the study. The results showed that the Paimin method produced a uniform vulnerability map, which was "medium vulnerable" for the entire watershed. This is because the applied parameters only have one class for the entire watershed. The Syarif method provides more variable results because the parameters produce several classes of vulnerabilities. However, the later method has a weakness in applying the depth of groundwater.  Moyo watershed only had one class, whereas the depth of the groundwater level varied from 4 to 11 m in the dry season. The two methods produced the same results and there were classified as “medium susceptible” for Moyo watershed. For dry areas, it is necessary to reclassify the drought class of each parameter. By combining the two methods above, it is expected to obtain more accurate results. To get the Water Use Index parameter efficiently, the number of population and water usage should be more efficient. Extentions to the community about the effectively water usage is important. Adaptation to drought can also be done by making reservoirs and setting cropping patterns.


Keywords


drought; vulnerability; mitigation

References


Agus, F., & Ruijter, J. (2004). Intensifikasi sistem bera. Bogor: ICRAF.

Bakornas PB. (2007). Pengenalan karakteristik bencana dan upaya mitigasinya di Indonesia. (S. Triutomo, W. Wijaya, & M. R. Amri, Eds.). Direktorat Mitigasi, Bakornas PB.

Begueria, Santiago, Sergio Vincente-Serrano, Fergus Reig, and Borja Latorre. 2014. “Standardized Precipitation Evapotranspiration Index (SPEI) revisited : Parameter fitting , evapotranspiration models , tools , datasets and drought monitoring.” International Journal of Climatology 34 (December 2013): 3001–23. https://doi.org/10.1002/joc.3887

Bonaccorso, B, Isabella Bordi, A Cancelliere, Giuseppe Rossi, and A Sutera. 2003. “Spatial variability of drought : an analysis of the spi in Sicily.” Water Resource Management 17 (August 2003): 273–96. https://doi.org/10.1023/A:1024716530289

Burchfield, E., Williams, N. E., & Carrico, A. R. (2018). Rescaling drought mitigation in rural Sri Lanka. Regional Environmental Change. https://doi.org/10.1007/s10113-018-1374-y

Das, P. K., Dutta, D., Sharma, J. R., & Dadhwal, V. K. (2016). Trends and behaviour of meteorological drought (1901-2008) over Indian region using standardized precipitation-evapotranspiration index. International Journal of Climatology, 36(2), 909–916. https://doi.org/10.1002/joc.4392

Demisse, G. B., Tadesse, T., Bayissa, Y., Atnafu, S., Argaw, M., & Nedaw, D. (2018). Vegetation condition prediction for drought monitoring in pastoralist areas : a case study in Ethiopia. International Journal of Remote Sensing, 00(00), 1–17. https://doi.org/10.1080/01431161.2017.1421797

Dirjen RLPS. Peraturan Menteri Kehutanan No P.04 tentang Monitoring dan Evaluasi Pengelolaan Daerah Aliran Sungai (2009). Indonesia.

Edossa, Desalegn Chemeda, Mukand Singh Babel, and Ashim Das Gupta. 2010. “Drought analysis in the Awash River Basin, Ethiopia.” Water Resources Management 24 (7): 1441–60. https://doi.org/10.1007/s11269-009-9508-0 9508-0.

Livada, I., and V. D. Assimakopoulos. 2007. “Spatial and temporal analysis of drought in Greece using the standardized precipitation index (SPI).” Theoretical and Applied Climatology 89 (3–4): 143–53. https://doi.org/10.1007/s00704-005-0227-z

Maarif, S. (2011). Meningkatkan kapasitas masyarakat dalam mengatasi risiko bencana kekeringan. Jurnal Sains Dan Teknologi Indonesia, 13(2), 65–73.

Menteri Kehutanan. Peraturan Menteri Kehutanan Nomor P.61/Menhut-II/2014 tentang Monitoring dan Evaluasi Pengelolaan DAS (2014). Indonesia.

Mihunov, V. V., Lam, N. S. N., Zou, L., Rohli, R. V., Bushra, N., Reams, M. A., & Argote, J. E. (2018). Community resilience to drought hazard in the South-Central United States. Annals of the American Association of Geographers, 108(3), 739–755. https://doi.org/10.1080/24694452.2017.1372177

Mohammad, A. H., Jung, H. C., Odeh, T., Bhuiyan, C., & Hussein, H. (2018). Understanding the impact of droughts in the Yarmouk Basin, Jordan: monitoring droughts through meteorological and hydrological drought indices. Arabian Journal of Geosciences, 11(5). https://doi.org/10.1007/s12517-018-3433-6

Nugroho, S. P. (2015). Relevansi meningkatnya bencana hidrometeorologi terkait kerusakan DAS di Indonesia. In E. Irawan, S. Sudarwanto, T. M. Basuki, E. Savitri, A. N. Anna, A. B. Supangat, … P. Setyono (Eds.), Restorasi DAS: Mencari Keterpaduan Ditengah Isu Perubahan Iklim (pp. 3–24). Surakarta: Balai Penelitian dan Pengembangan Kehutanan Pengelolaan DAS.

Nugroho, S. P. (2016). 15 Tahun terakhir, tren bencana di Indonesia meningkat - Kompas.com. Retrieved February 17, 2017, from http://nasional.kompas.com/read/2016/02/10/15560681/15.Tahun.Terakhir.Tren.Bencana.di.Indonesia.Meningkat

Paimin, Pramono, I. B., Purwanto, & Indrawati, D. R. (2012). Sistem perencanaan pengelolaan daerah aliran sungai. (H. Santoso & Pratiwi, Eds.). Bogor: Pusat Litbang Konservasi dan Rehabilitasi.

Pemerintah RI. UU No 24 tentang Penanggulangan Bencana (2007). Indonesia.

Putro, J. W. P., Hadiani, R., & Suyanto. (2016). Implementasi metode palmer untuk analisis kekeringan pada daerah aliran sungai temon kabupaten wonogiri. E-Jurnal Matriks Teknik Sipil, (September), 766–773.

Raharjo, P. D. (2010). Teknik penginderaan jauh dan sistem informasi geografis untuk identifikasi potensi kekeringan. Makara Teknologi, 14(2), 97–105.

Saidah, H., Budianto, M. B., & Hanifah, L. (2017). Analisa indeks dan sebaran kekeringan menggunakan metode standardized precipitation index (SPI) dan geographical information system (GIS) Untuk Pulau Lombok. Jurnal Spektran, 5(2), 173–179. Retrieved from http://ojs.unud.ac.id/index.php/jsn/index

Sari, J., Pancariniwati, S., & Pratiwi, A. (2017). Analisis sebaran curah hujan wilayah menggunakan metode SPI dan hubungannya dengan indikator iklim di Provinsi Sumatera Barat. In R.

Windiastuti, N. Oktaviani, M. Oktaviani, E. Suryanegara, I.

Pujawati, A. N. Safi’i, … M. Nashiha (Eds.), Seminar Nasional Geomatika 2017: Inovasi Teknologi Penyediaan Informasi Geospasial untuk Pembangunan Berkelanjutan (pp. 241–250). Cibinong: Badan Informasi Geospasial.

Savitri, E., Pramono, I. B., Indrawati, D. R., Yuliantoro, D., & Ardianto, W. (2017). teknik mitigasi bencana kekeringan di DAS Moyo. Surakarta.

Suryanti, I. (2008). Analisis hubungan antara sebaran kekeringan menggunakan indeks palmer dengan karakteristik kekeringan (Studi Kasus: Provinsi Banten). IPB.

Susilawati. (2006). Konservasi tanah dan air di daerah semi kering Propinsi Nusa Tenggara Timur. Jurnal Teknik Sipil, 3(1), 33–43.

Syarif, M. M., Barus, B., & Effendy, S. (2013). Penentuan indeks bahaya kekeringan agrohidrologi: studi kasus wilayah Sungai Kariango, Sulawesi Selatan. J. Tanah Lingkungan, 15(1), 12–19.

Thornthwaite, C.W. and Mather, J.R. 1957. Instructions and tables for computing potential evapotrans-piration and the water balance. Publication in Climatology Vol.X.No.3. Drexel Institute of Technology Laboratory of Climatology. Centerton, New Jersey.

Utami, D., Hadiani, R., & Susilowati. (2013). Prediksi kekeringan berdasarkan Standardized PrecipitationIndex (SPI) pada Daerah Aliran Sungai Keduang di kabupaten Wonogiri. E-Jurnal Matriks Teknik Sipil, (September 2013), 221–226.

Van Lanen, H. A. J. (2015). Drought: how to be prepared for the hazard? In P. Quevauviller (Ed.), Hydrometeo-rological Hazards: Interfacing Science and Policy (1 st, Vol. 1, pp. 171–201). John Wiley & Sons Ltd. https://doi.org/10.1002/9781118629567.ch3b

Wilhite, D. A., Svoboda, M. D., & Hayes, M. J. (2007). Understanding the complex impacts of drought : a key to enhancing drought mitigation and preparedness. Water Resource Management, 21(15122), 763–774.

https://doi.org/10.1007/s11269-006-9076-5

Zou, L., Xia, J., & She, D. (2017). Effects of large-scale climate patterns and human activities on hydrological drought : a case study in the Luanhe River basin , China. Water Resource Management, 1687–1710. https://doi.org/10.1007/s11269-017-1877-1




DOI: https://doi.org/10.20886/jppdas.2018.2.2.173-187

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