This study aims to analyze the requirement for the storage capacity of Danau Asam Reservoir as one of the solutions in increasing the availability of water to meet the needs of raw water due to population growth and climate change which is quite extreme. The study was conducted in the Danau Asam Reservoir with source of water from two watersheds that flow into the reservoir, namely the Lopo River Basin with a catchment area of 11.81 Km2 and Kamat Bay with a catchment area of 12.42 Km2 in Kotawaringin Lama District in the West Kotawaringin Regency. The method used is a quantitative approach based on a simulation of the water balance between the inflow and outflow. The inflow parameter is calculated based on 90% probability reliable discharge using the FJ Mock method in two watersheds and the outflow parameter is based on the raw water demand discharge which is calculated based on the population growth rate. The result of the research indicate that the capacity of the Danau Asam Reservoir is 391,842.72 m3 to meet the raw water needs in Kotawaringin Lama District with a population of 35397 people.Keywords: Drought, Raw Water, Storage, Kotawaringin Barat
{"title":"ANALISIS KEBUTUHAN KAPASITAS TAMPUNGAN EMBUNG DANAU ASAM KABUPATEN KOTAWARINGIN BARAT","authors":"Asril Zevri","doi":"10.32679/jsda.v17i2.719","DOIUrl":"https://doi.org/10.32679/jsda.v17i2.719","url":null,"abstract":"This study aims to analyze the requirement for the storage capacity of Danau Asam Reservoir as one of the solutions in increasing the availability of water to meet the needs of raw water due to population growth and climate change which is quite extreme. The study was conducted in the Danau Asam Reservoir with source of water from two watersheds that flow into the reservoir, namely the Lopo River Basin with a catchment area of 11.81 Km2 and Kamat Bay with a catchment area of 12.42 Km2 in Kotawaringin Lama District in the West Kotawaringin Regency. The method used is a quantitative approach based on a simulation of the water balance between the inflow and outflow. The inflow parameter is calculated based on 90% probability reliable discharge using the FJ Mock method in two watersheds and the outflow parameter is based on the raw water demand discharge which is calculated based on the population growth rate. The result of the research indicate that the capacity of the Danau Asam Reservoir is 391,842.72 m3 to meet the raw water needs in Kotawaringin Lama District with a population of 35397 people.Keywords: Drought, Raw Water, Storage, Kotawaringin Barat","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Krisnayanti, D. F. Welkis, Fery Moun Hepy, Djoko Legono
The construction of the Temef Dam in Oenino Village, Oenino District, and Konbaki Village, Polen District, South Central Timor Regency requires long and reliable rainfall data. To overcome the minimum data or the unavailability of automatic rainfall (ARR) and discharge data in the past decades, the use of Tropical Rainfall Measuring Mission (TRMM) satellite data is foreseen. The accuracy of TRMM data is obtained when the parameters of suitability and compatibility of TRMM are in a good agreement with the ARR. For the Temef watershed, there are six rainfall stations that were reviewed, namely Fatumnasi, Oeoh, Noelnoni, Polen, Nifukani, and Batinifukoko rainfall stations. Direct comparisons of rainfall data were conducted for 20 years (1998-2018) with temporal resolution on a monthly and daily basis. The results of the study show that the rainfall patterns in the TRMM data product (version 3B42V7) tend to be consistent with 3 rainfall stations in the Temef watershed namely Noelnoni, Fatumnasi, and Batinifukoko. A correlation coefficient of 0.505 – 0.813 was obtained from TRMM data calibration at monthly basis while a correction factor level of 0.0056 - 0.0129 was obtained for daily. The calibration on the annual maximum daily rainfall data resulted in a correction factor of 0.0298 - 0.2516. Monthly and daily TRMM data fit well with the data of 3 rainfall stations. However, the Noelnoni rainfall station showed poor results on the annual maximum daily rainfall.Keywords: TRMM data, ARR data, correction factor, correlation coefficient
{"title":"Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan","authors":"D. Krisnayanti, D. F. Welkis, Fery Moun Hepy, Djoko Legono","doi":"10.32679/jsda.v16i1.646","DOIUrl":"https://doi.org/10.32679/jsda.v16i1.646","url":null,"abstract":"The construction of the Temef Dam in Oenino Village, Oenino District, and Konbaki Village, Polen District, South Central Timor Regency requires long and reliable rainfall data. To overcome the minimum data or the unavailability of automatic rainfall (ARR) and discharge data in the past decades, the use of Tropical Rainfall Measuring Mission (TRMM) satellite data is foreseen. The accuracy of TRMM data is obtained when the parameters of suitability and compatibility of TRMM are in a good agreement with the ARR. For the Temef watershed, there are six rainfall stations that were reviewed, namely Fatumnasi, Oeoh, Noelnoni, Polen, Nifukani, and Batinifukoko rainfall stations. Direct comparisons of rainfall data were conducted for 20 years (1998-2018) with temporal resolution on a monthly and daily basis. The results of the study show that the rainfall patterns in the TRMM data product (version 3B42V7) tend to be consistent with 3 rainfall stations in the Temef watershed namely Noelnoni, Fatumnasi, and Batinifukoko. A correlation coefficient of 0.505 – 0.813 was obtained from TRMM data calibration at monthly basis while a correction factor level of 0.0056 - 0.0129 was obtained for daily. The calibration on the annual maximum daily rainfall data resulted in a correction factor of 0.0298 - 0.2516. Monthly and daily TRMM data fit well with the data of 3 rainfall stations. However, the Noelnoni rainfall station showed poor results on the annual maximum daily rainfall.Keywords: TRMM data, ARR data, correction factor, correlation coefficient","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127497781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The increasing demand of raw water in DKI Jakarta has caused excessive groundwater abstraction. It causes the groundwater level drop to certain level and has emerged cone of depression in some areas. Groundwater management as an effort to recover the groundwater level, requires an integrated groundwater monitoring system. Recently, there are approximately 161 groundwater monitoring wells in Jakarta groundwater basin. Those wells are generally categorized as secondary network, since determined by groundwater abstraction activity. Meanwhile, a representative primary network to monitor the natural condition of groundwater in each aquifer layer is not yet available completely. The method of Inverse Distance Weighting (IDW) spatial estimation is applied to determine the number and distribution of primary monitoring wells based on aquifer geometry using Groundwater Modeling System (GMS) software. Based on the aquifer geometry, it can be arranged monitoring zones and the number of monitoring wells in each zone. There are 9 monitoring zones in Jakarta groundwater basin consist of 1 zone with 1 monitoring well, 2 zones with 2 monitoring wells, 3 zones with 3 monitoring wells, and 3 zones with 4 monitoring wells, so that the total of primary monitoring wells for groundwater monitoring in Jakarta groundwater basin is 26 monitoring wells. This research is expected to be useful for stakeholders to optimize the representative monitoring wells network based on aquifer geometry in sustainable groundwater management.
{"title":"Penentuan Jaringan Sumur Pantau Primer Dengan Metode Inverse Distance Weighting Di Cekungan Air Tanah Jakarta","authors":"Wulan Seizarwati, Derry Prasetya","doi":"10.32679/jsda.v15i2.503","DOIUrl":"https://doi.org/10.32679/jsda.v15i2.503","url":null,"abstract":"The increasing demand of raw water in DKI Jakarta has caused excessive groundwater abstraction. It causes the groundwater level drop to certain level and has emerged cone of depression in some areas. Groundwater management as an effort to recover the groundwater level, requires an integrated groundwater monitoring system. Recently, there are approximately 161 groundwater monitoring wells in Jakarta groundwater basin. Those wells are generally categorized as secondary network, since determined by groundwater abstraction activity. Meanwhile, a representative primary network to monitor the natural condition of groundwater in each aquifer layer is not yet available completely. The method of Inverse Distance Weighting (IDW) spatial estimation is applied to determine the number and distribution of primary monitoring wells based on aquifer geometry using Groundwater Modeling System (GMS) software. Based on the aquifer geometry, it can be arranged monitoring zones and the number of monitoring wells in each zone. There are 9 monitoring zones in Jakarta groundwater basin consist of 1 zone with 1 monitoring well, 2 zones with 2 monitoring wells, 3 zones with 3 monitoring wells, and 3 zones with 4 monitoring wells, so that the total of primary monitoring wells for groundwater monitoring in Jakarta groundwater basin is 26 monitoring wells. This research is expected to be useful for stakeholders to optimize the representative monitoring wells network based on aquifer geometry in sustainable groundwater management.","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133308916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mangroves in Indonesia have a large enough area, but in the last 3 decades the area has been reduced to 40%. Besides having a function as a coastal protector, mangroves are also able to maintain the quality of the waters around it. Currently, the construction of a reclamation island in Jakarta Bay is being carried out which will have an impact on the surrounding mangrove forests. Therefore, the purpose of this study was to identify the impact of island reclamation in Jakarta Bay on sedimentation and mangrove growth in surrounding area. This research was conducted with literature studies, vegetation analysis, water quality analysis and also spatial analysis with WorldView-2 satellite imagery. The results showed that the mangrove forests on the coast of North Jakarta, especially in the Muara Angke area tend to increase, especially in the reclaimed island area. The mangrove stands increase by approximately 1.32 ha / year. The density and stem diameters vary in 5 locations. Oxygen levels at the study site are very low but the existing mangrove forests can absorb dissolved heavy metals. The results of the study also show that the area that has the potential to be planted with mangroves is 30 ha. Overall, the sedimentation process helps expand mangrove forests naturally while the bad quality of water does not significantly affect the development of mangroves. On the contrary, the existing mangrove is able to keep the stability of the water quality in surrounding area.
{"title":"Dampak Pulau Reklamasi terhadap Sedimentasi dan Potensi Perkembangan Mangrove Di Pesisir Teluk Jakarta (Muara Angke)","authors":"Indra setya Putra","doi":"10.32679/jsda.v15i2.587","DOIUrl":"https://doi.org/10.32679/jsda.v15i2.587","url":null,"abstract":"Mangroves in Indonesia have a large enough area, but in the last 3 decades the area has been reduced to 40%. Besides having a function as a coastal protector, mangroves are also able to maintain the quality of the waters around it. Currently, the construction of a reclamation island in Jakarta Bay is being carried out which will have an impact on the surrounding mangrove forests. Therefore, the purpose of this study was to identify the impact of island reclamation in Jakarta Bay on sedimentation and mangrove growth in surrounding area. This research was conducted with literature studies, vegetation analysis, water quality analysis and also spatial analysis with WorldView-2 satellite imagery. The results showed that the mangrove forests on the coast of North Jakarta, especially in the Muara Angke area tend to increase, especially in the reclaimed island area. The mangrove stands increase by approximately 1.32 ha / year. The density and stem diameters vary in 5 locations. Oxygen levels at the study site are very low but the existing mangrove forests can absorb dissolved heavy metals. The results of the study also show that the area that has the potential to be planted with mangroves is 30 ha. Overall, the sedimentation process helps expand mangrove forests naturally while the bad quality of water does not significantly affect the development of mangroves. On the contrary, the existing mangrove is able to keep the stability of the water quality in surrounding area.","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126377639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Uji validasi data merupakan langkah pemeriksaan untuk memastikan data hidrologi yang disajikan telah sesuai dengan kriteria yang ditetapkan, merupakan salah satu bagian dari proses kendali mutu. Teknik validasi dirancang untuk mendeteksi kesalahan umum yang mungkin terjadi dan hasil validasi didesain untuk menunjukkan alasan mengapa suatu nilai data ditandai. Tujuannya adalah menganalisis data dengan metode uji validasi homogenitas dan trend, mendeteksi penyimpangan data, dan memberikan informasi kondisi kualitas data dengan jenis kategori. Uji validasi data debit dengan studi kasus DAS Citarum Hulu dilakukan pada 4 pos duga air terpilih menggunakan metode Pettitt dan T untuk uji homogenitas, metode Mann-Kendall dan Spearman untuk uji trend pada tingkat signifikansi 5%. Hasil kajian menunjukkan bahwa uji homogenitas dengan metode Pettitt lebih baik diterapkan pada kajian ini karena memiliki populasi data debit yang tidak berdistribusi normal. Kelebihan dari metode Pettitt adalah dapat menguji data tanpa adanya asumsi harus berdistribusi normal. Hasil uji trend dengan metode Mann-Kendall dan Spearman menunjukkan hasil signifikansi yang relatif sama, karena kedua uji tersebut memiliki metode statistik non parametrik. Kekuatan kedua uji ini tergantung pada tingkat signifikansi, ukuran sampel data, dan jenis distribusi. Hasil uji menunjukkan kondisi data di pos Citarum-Nanjung, Cigulung-Maribaya, Cikapundung-Maribaya dan Cikapundung-Gandok, masing-masing berkategori Baik, Tidak Realistis, Meragukan dan Meragukan. Homogenitas dan trend data debit di DAS Citarum Hulu tidak merata. Trend data debit di sub DAS Cikapundung mengalami kenaikan secara signifikan mulai tahun 1980an dan mengalami penurunan trend BFI di pos Cikapundung-Maribaya pada tahun 1990-2013. Hal ini mengindikasikan adanya pengaruh perubahan fungsi lahan pada sub DAS Cikapundung.Kata Kunci: Validasi data, data debi, Mann Kendall, Pettitt, Base flow Index (BFI)
{"title":"Uji Validasi Data Debit","authors":"Desi Windatiningsih","doi":"10.32679/jsda.v15i2.600","DOIUrl":"https://doi.org/10.32679/jsda.v15i2.600","url":null,"abstract":"Uji validasi data merupakan langkah pemeriksaan untuk memastikan data hidrologi yang disajikan telah sesuai dengan kriteria yang ditetapkan, merupakan salah satu bagian dari proses kendali mutu. Teknik validasi dirancang untuk mendeteksi kesalahan umum yang mungkin terjadi dan hasil validasi didesain untuk menunjukkan alasan mengapa suatu nilai data ditandai. Tujuannya adalah menganalisis data dengan metode uji validasi homogenitas dan trend, mendeteksi penyimpangan data, dan memberikan informasi kondisi kualitas data dengan jenis kategori. Uji validasi data debit dengan studi kasus DAS Citarum Hulu dilakukan pada 4 pos duga air terpilih menggunakan metode Pettitt dan T untuk uji homogenitas, metode Mann-Kendall dan Spearman untuk uji trend pada tingkat signifikansi 5%. Hasil kajian menunjukkan bahwa uji homogenitas dengan metode Pettitt lebih baik diterapkan pada kajian ini karena memiliki populasi data debit yang tidak berdistribusi normal. Kelebihan dari metode Pettitt adalah dapat menguji data tanpa adanya asumsi harus berdistribusi normal. Hasil uji trend dengan metode Mann-Kendall dan Spearman menunjukkan hasil signifikansi yang relatif sama, karena kedua uji tersebut memiliki metode statistik non parametrik. Kekuatan kedua uji ini tergantung pada tingkat signifikansi, ukuran sampel data, dan jenis distribusi. Hasil uji menunjukkan kondisi data di pos Citarum-Nanjung, Cigulung-Maribaya, Cikapundung-Maribaya dan Cikapundung-Gandok, masing-masing berkategori Baik, Tidak Realistis, Meragukan dan Meragukan. Homogenitas dan trend data debit di DAS Citarum Hulu tidak merata. Trend data debit di sub DAS Cikapundung mengalami kenaikan secara signifikan mulai tahun 1980an dan mengalami penurunan trend BFI di pos Cikapundung-Maribaya pada tahun 1990-2013. Hal ini mengindikasikan adanya pengaruh perubahan fungsi lahan pada sub DAS Cikapundung.Kata Kunci: Validasi data, data debi, Mann Kendall, Pettitt, Base flow Index (BFI)","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124103334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Tilong Reservoir located in Kupang District, has 154.97 ha surface area with an average depth of 12.5 m, water volume is 19 million m3 and water discharge around 86.4-106.3 m3/day. The main function of this reservoir is for irrigation. Capture fisheries activity has not been optimally developed. The development of capture fisheries can be done through culture-based fisheries (CBF), namely milkfish (Channos channos) or tilapia (Oreochromis niloticus) stocking. The aims of this study is to determine the potential of fisheries production and the seed needs for CBF development in the Tilong reservoir. The study was conducted in March and September 2016 at three observation stations. Water sample was taken at 0.5 and 2.0 m from the surface which is the euphotic depth. The results showed that CBF activities in the Tilong Reservoir could successful because supported by the limnology conditions was suitable for fish life, the availability of seeds produced from hatchery was sufficient for stocking and support of local communities through local wisdom. Fish seeds are produced by 13 hatchery which are capable of producing milkfish and tilapia seeds of 7,040,770 and 7,023,400 per year. Based on these aspects, capture fisheries through CBF are feasible to be developed in the Tilong Reservoir. The fisheries production potential in the Tilong Reservoir ranges from 75.9 to 77.5 kg/ha/year or 11.9-12.0 tons/year. The optimal number of milkfish and tilapia seeds that can be stocked ranges from 71,000-73,500 individuals/year and 72,000-75,000 individuals/year respectively. The fish production estimated from stocking was about 40% of the potential production with economic value of Rp 20,500,000 and Rp 21,500,000.
{"title":"Optimalisasi Pemanfaatan Waduk Tilong, Nusa Tenggara Timur Untuk Pengembangan Perikanan Tangkap","authors":"Andri Warsa","doi":"10.32679/jsda.v15i2.480","DOIUrl":"https://doi.org/10.32679/jsda.v15i2.480","url":null,"abstract":"The Tilong Reservoir located in Kupang District, has 154.97 ha surface area with an average depth of 12.5 m, water volume is 19 million m3 and water discharge around 86.4-106.3 m3/day. The main function of this reservoir is for irrigation. Capture fisheries activity has not been optimally developed. The development of capture fisheries can be done through culture-based fisheries (CBF), namely milkfish (Channos channos) or tilapia (Oreochromis niloticus) stocking. The aims of this study is to determine the potential of fisheries production and the seed needs for CBF development in the Tilong reservoir. The study was conducted in March and September 2016 at three observation stations. Water sample was taken at 0.5 and 2.0 m from the surface which is the euphotic depth. The results showed that CBF activities in the Tilong Reservoir could successful because supported by the limnology conditions was suitable for fish life, the availability of seeds produced from hatchery was sufficient for stocking and support of local communities through local wisdom. Fish seeds are produced by 13 hatchery which are capable of producing milkfish and tilapia seeds of 7,040,770 and 7,023,400 per year. Based on these aspects, capture fisheries through CBF are feasible to be developed in the Tilong Reservoir. The fisheries production potential in the Tilong Reservoir ranges from 75.9 to 77.5 kg/ha/year or 11.9-12.0 tons/year. The optimal number of milkfish and tilapia seeds that can be stocked ranges from 71,000-73,500 individuals/year and 72,000-75,000 individuals/year respectively. The fish production estimated from stocking was about 40% of the potential production with economic value of Rp 20,500,000 and Rp 21,500,000.","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128748169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cahyo Nur Rahmat Nugroho, S Suprapto, Leo Sembiring, A. Prasetyo
North Coast of Java Island continues to experience coastal dynamics which resulted significant coastline erosion problems. According to the Ministry of Marine and Fisheries data (KKP), from 100 locations of coastline erosion in 17 provinces of Indonesia, North Coast of Java Island suffered the worst erosion, reaching 745 km or 44 percent of total coastline length. The shoreline retreat can be caused by three factors: sea level rise, erosion and land subsidence. The aim of this research was to determine the correlation between sediment equilibrium in coastal cells and the initial hypothesis of land subsidence which caused a coastline retreat. The method to calculate sediment equilibrium uses hypothetical sediment budget model. Modeling itself is done along the North Coast of Java. LITDRIFT model of Longshore Sediment Drift is employed to assess the coastline profile. The result of the research shows that there is anomalous model that is the condition of sediment is surplus but the condition of the field is backward. Several locations experienced a sediment surplus but experienced a coastline retreat, and after comparison with field observations and secondary data there was evidence of land subsidence: Pondok Bali Beach, Randusongo Beach, Muara Reja Beach, Depok Beach, Slamaran Beach, Jeruksari-Mulyorejo Beach and Sriwulan Beach. Furthermore this result can be used as an initial indicator of the land subsidence causing the coastline to retreat. In order to solve the erosion and sedimentation problem, the detail study with more comprehensive parameter needs to be conducted.
{"title":"Model Hipotetikal Kesetimbangan Sedimen sebagai Indikator Awal Adanya Penurunan Muka Tanah Di Pantai Utara Pulau Jawa","authors":"Cahyo Nur Rahmat Nugroho, S Suprapto, Leo Sembiring, A. Prasetyo","doi":"10.32679/jsda.v15i2.416","DOIUrl":"https://doi.org/10.32679/jsda.v15i2.416","url":null,"abstract":"North Coast of Java Island continues to experience coastal dynamics which resulted significant coastline erosion problems. According to the Ministry of Marine and Fisheries data (KKP), from 100 locations of coastline erosion in 17 provinces of Indonesia, North Coast of Java Island suffered the worst erosion, reaching 745 km or 44 percent of total coastline length. The shoreline retreat can be caused by three factors: sea level rise, erosion and land subsidence. The aim of this research was to determine the correlation between sediment equilibrium in coastal cells and the initial hypothesis of land subsidence which caused a coastline retreat. The method to calculate sediment equilibrium uses hypothetical sediment budget model. Modeling itself is done along the North Coast of Java. LITDRIFT model of Longshore Sediment Drift is employed to assess the coastline profile. The result of the research shows that there is anomalous model that is the condition of sediment is surplus but the condition of the field is backward. Several locations experienced a sediment surplus but experienced a coastline retreat, and after comparison with field observations and secondary data there was evidence of land subsidence: Pondok Bali Beach, Randusongo Beach, Muara Reja Beach, Depok Beach, Slamaran Beach, Jeruksari-Mulyorejo Beach and Sriwulan Beach. Furthermore this result can be used as an initial indicator of the land subsidence causing the coastline to retreat. In order to solve the erosion and sedimentation problem, the detail study with more comprehensive parameter needs to be conducted.","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122549505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pola iklim baru akibat perubahan iklim yang diperburuk dengan adanya degradasi Daerah Aliran Sungai (DAS), telah meningkatkan frekuensi dan intensitas bencana banjir di Indonesia. Hal ini berdampak pada kondisi hidrologi, pertanian dan sosial-ekonomi yang semakin memburuk sehingga diperlukan suatu perhitungan banjir rencana . Perhitungan debit banjir rencana dilakukan berdasarkan besaran hujan rencana melalui analisis frekuensi. Estimasi parameter hasil analisis frekuensi selanjutnya digunakan untuk menghitung faktor pertumbuhan, yaitu faktor yang jika dikalikan dengan median seri data hujan harian maksimum tahunan dapat menghasilkan besaran hujan T-tahun. Tujuan dari studi ini adalah menghitung faktor pertumbuhan untuk estimasi hujan rencana pada beb e rapa periode ulang. Data hujan harian maksimum tahunan pada 2.611 pos di Pulau Jawa tahun 1916-2013 dan beberapa metode statistik seperti uji pencilan, trend, stasioneritas, ketidaktergantungan, uji diskordansi dalam penyaringan data, L-moment dalam analisis frekuensi, dan analisis komponen utama untuk analisis pengelompokkan digunakan dalam tulisan ini. Diketahui bahwa berdasarkan karakteristik spasial, Pulau Jawa dapat dikelompokkan ke dalam 3 tipe (setiap tipe terdiri dari 2 kelas). Faktor pertumbuhan pada tipe 1 untuk periode ulang 2, 5, 10, 25, 50, 100, 200, 500, dan 1000 tahun berkisar antara 0,997-2,089. Untuk tipe 2 dan tipe 3 berturut-turut adalah 0,996 -3,451 dan 0,988-3,634. Tidak ada indikasi bahwa perubahan iklim mempengaruhi nilai faktor pertumbuhan pada suatu periode ulang. Besaran hujan rencana yang dihitung dari faktor pertumbuhan ini selanjutnya dapat digunakan untuk kepentingan estimasi banjir rencana dan dimanfaatkan untuk membantu pembuat keputusan dan perencana dalam menentukan desain bangunan air.
{"title":"Nilai Faktor Pertumbuhan untuk Estimasi Hujan Rencana di Pulau Jawa","authors":"L. Adiyani","doi":"10.32679/JSDA.V15I1.496","DOIUrl":"https://doi.org/10.32679/JSDA.V15I1.496","url":null,"abstract":"Pola iklim baru akibat perubahan iklim yang diperburuk dengan adanya degradasi Daerah Aliran Sungai (DAS), telah meningkatkan frekuensi dan intensitas bencana banjir di Indonesia. Hal ini berdampak pada kondisi hidrologi, pertanian dan sosial-ekonomi yang semakin memburuk sehingga diperlukan suatu perhitungan banjir rencana . Perhitungan debit banjir rencana dilakukan berdasarkan besaran hujan rencana melalui analisis frekuensi. Estimasi parameter hasil analisis frekuensi selanjutnya digunakan untuk menghitung faktor pertumbuhan, yaitu faktor yang jika dikalikan dengan median seri data hujan harian maksimum tahunan dapat menghasilkan besaran hujan T-tahun. Tujuan dari studi ini adalah menghitung faktor pertumbuhan untuk estimasi hujan rencana pada beb e rapa periode ulang. Data hujan harian maksimum tahunan pada 2.611 pos di Pulau Jawa tahun 1916-2013 dan beberapa metode statistik seperti uji pencilan, trend, stasioneritas, ketidaktergantungan, uji diskordansi dalam penyaringan data, L-moment dalam analisis frekuensi, dan analisis komponen utama untuk analisis pengelompokkan digunakan dalam tulisan ini. Diketahui bahwa berdasarkan karakteristik spasial, Pulau Jawa dapat dikelompokkan ke dalam 3 tipe (setiap tipe terdiri dari 2 kelas). Faktor pertumbuhan pada tipe 1 untuk periode ulang 2, 5, 10, 25, 50, 100, 200, 500, dan 1000 tahun berkisar antara 0,997-2,089. Untuk tipe 2 dan tipe 3 berturut-turut adalah 0,996 -3,451 dan 0,988-3,634. Tidak ada indikasi bahwa perubahan iklim mempengaruhi nilai faktor pertumbuhan pada suatu periode ulang. Besaran hujan rencana yang dihitung dari faktor pertumbuhan ini selanjutnya dapat digunakan untuk kepentingan estimasi banjir rencana dan dimanfaatkan untuk membantu pembuat keputusan dan perencana dalam menentukan desain bangunan air.","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122146564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugeng Nugroho, Rudi Febriamansyah, E. Ekaputra, Dodo Gunawan
Dampak perubahan iklim sangat signifikan berpengaruh pada sektor pertanian, mengingat keberlangsungan pertanian bergantung mutlak dengan kondisi iklim. Perubahan iklim yang terjadi pada suatu wilayah sangat tergantung sensitivitas faktor lokal dalam merespon perubahan iklim global yang terjadi, sehingga sangat penting untuk melakuakn koreksi data perubahan iklim global dengan data observasi di lokasi. CDFDM merupakan salah satu metode koreksi bias yang dapat digunakan untuk melakukan koreksi tersebut. Kebutuhan air untuk tanaman dan irigasi dihitung dengan model CROPWAT. Hasil analisis menujukan proyeksi unsur iklim di lokasi penelitian menunjukan pada umumnya mengalami peningkatan. Peningkatan terbesar dialami curah hujan hingga 47.5% pada tahun 2040 jika iklim berubah dengan skenario RCP8.5 dan rata-rata mengalami peningkatan antara 18-20% pada tahun 2020-2040, baik pada skenario RCP4.5 dan RCP8.5. Suhu udara akan mengalami peningkatan antara 4-6% pada tahun 2020-2040 pada skenario RCP4.5 dan RCP8.5. Sedangkan peningkatan suhu udara terbesar per dekade terbesar sekitar 8.1% pada tahun 2040 pada skenario RCP8.5. Proyeksi kebutuhan air untuk tanaman secara umum mengalami peningkatan seiring dengan semakin tingginya proyeksi curah hujan dan suhu udara, kecuali untuk lokasi penelitian Sumani, yang mengalami defisit kebutuhan curah hujannya sehingga diperlukan air irigasi, pada musim tanam bulan Mei-Agustus.
{"title":"SIMULASI KEBUTUHAN AIR UNTUK TANAMAN PADI PADA SKENARIO PERUBAHAN IKLIM DI DAERAH ALIRAN SUNGAI LEMBANG-SUMANI","authors":"Sugeng Nugroho, Rudi Febriamansyah, E. Ekaputra, Dodo Gunawan","doi":"10.32679/JSDA.V15I1.423","DOIUrl":"https://doi.org/10.32679/JSDA.V15I1.423","url":null,"abstract":"Dampak perubahan iklim sangat signifikan berpengaruh pada sektor pertanian, mengingat keberlangsungan pertanian bergantung mutlak dengan kondisi iklim. Perubahan iklim yang terjadi pada suatu wilayah sangat tergantung sensitivitas faktor lokal dalam merespon perubahan iklim global yang terjadi, sehingga sangat penting untuk melakuakn koreksi data perubahan iklim global dengan data observasi di lokasi. CDFDM merupakan salah satu metode koreksi bias yang dapat digunakan untuk melakukan koreksi tersebut. Kebutuhan air untuk tanaman dan irigasi dihitung dengan model CROPWAT. Hasil analisis menujukan proyeksi unsur iklim di lokasi penelitian menunjukan pada umumnya mengalami peningkatan. Peningkatan terbesar dialami curah hujan hingga 47.5% pada tahun 2040 jika iklim berubah dengan skenario RCP8.5 dan rata-rata mengalami peningkatan antara 18-20% pada tahun 2020-2040, baik pada skenario RCP4.5 dan RCP8.5. Suhu udara akan mengalami peningkatan antara 4-6% pada tahun 2020-2040 pada skenario RCP4.5 dan RCP8.5. Sedangkan peningkatan suhu udara terbesar per dekade terbesar sekitar 8.1% pada tahun 2040 pada skenario RCP8.5. Proyeksi kebutuhan air untuk tanaman secara umum mengalami peningkatan seiring dengan semakin tingginya proyeksi curah hujan dan suhu udara, kecuali untuk lokasi penelitian Sumani, yang mengalami defisit kebutuhan curah hujannya sehingga diperlukan air irigasi, pada musim tanam bulan Mei-Agustus.","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121431430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. A. Gemilang, Nia Naelul Hasanah, Ulung Jantama Jantama Wish
Pengembangan pariwisata di kawasan pesisir Pulau Weh, Aceh membutuhkan beberapa pendukung untuk meningkatkan jumlah kunjungan wisatawan. Salah satu pendukung pariwisata meliputi tersedianya prasarana pariwisata, diantaranya peningkatan kebutuhan air bersih. Evaluasi terhadap kualitas airtanah yang ada di kawasan pesisir sangat penting dilakukan untuk mengetahui kelayakan airtanah. Interpretasi terhadap parameter kimia airtanah merupakan salah satu metode evaluasi kualitas dan karakteristik airtanah yang digabungkan dengan faktor geologi sehingga dapat diketahui karakteristik hidrogeokimia airtanah. Fasies airtanah pesisir Pulau Weh terbagi atas 5 tipe meliputi CaHCO3, CaCl, NaCl, NaHCO3 dan percampuran CaMgCl. Faktor pelapukan batuan merupakan faktor utama penentu tipe fasies airtanah di Pulau Weh. Sebanyak 54,55% sampel airtanah di pesisir Pulau Weh terindikasi telah dipengaruhi oleh airlaut ke dalam akuifer. Jarak sumur gali <1km dari garis pantai serta padatnya penduduk diinterpretasikan menjadi salah satu faktor pemicu terjadinya masukan air laut ke dalam akuifer. Seluruh sampel airtanah di Pulau Weh memenuhi persyaratan untuk dikonsumsi maupun digunakan.
{"title":"KARAKTERISTIK HIDROGEOKIMIA AKUIFER TIDAK TERTEKAN KAWASAN PESISIR PULAU WEH, ACEH, INDONESIA","authors":"W. A. Gemilang, Nia Naelul Hasanah, Ulung Jantama Jantama Wish","doi":"10.32679/JSDA.V15I1.481","DOIUrl":"https://doi.org/10.32679/JSDA.V15I1.481","url":null,"abstract":"Pengembangan pariwisata di kawasan pesisir Pulau Weh, Aceh membutuhkan beberapa pendukung untuk meningkatkan jumlah kunjungan wisatawan. Salah satu pendukung pariwisata meliputi tersedianya prasarana pariwisata, diantaranya peningkatan kebutuhan air bersih. Evaluasi terhadap kualitas airtanah yang ada di kawasan pesisir sangat penting dilakukan untuk mengetahui kelayakan airtanah. Interpretasi terhadap parameter kimia airtanah merupakan salah satu metode evaluasi kualitas dan karakteristik airtanah yang digabungkan dengan faktor geologi sehingga dapat diketahui karakteristik hidrogeokimia airtanah. Fasies airtanah pesisir Pulau Weh terbagi atas 5 tipe meliputi CaHCO3, CaCl, NaCl, NaHCO3 dan percampuran CaMgCl. Faktor pelapukan batuan merupakan faktor utama penentu tipe fasies airtanah di Pulau Weh. Sebanyak 54,55% sampel airtanah di pesisir Pulau Weh terindikasi telah dipengaruhi oleh airlaut ke dalam akuifer. Jarak sumur gali <1km dari garis pantai serta padatnya penduduk diinterpretasikan menjadi salah satu faktor pemicu terjadinya masukan air laut ke dalam akuifer. Seluruh sampel airtanah di Pulau Weh memenuhi persyaratan untuk dikonsumsi maupun digunakan.","PeriodicalId":409496,"journal":{"name":"JURNAL SUMBER DAYA AIR","volume":"21 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114460598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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