Saguling reservoir is one of the three largest reservoirs in the Citarum River Basin. The water source of its reservoir originates from Upper Citarum river basin, with gauging station located in Citarum-Nanjung and local discharge from tributaries around the reservoir. The problem is there is no observation of local discharge from the tributaries, thus its potential is estimated. The purpose of this study is to analyze the potential of local discharge with the Hydrology Engineering Center-Hydrologic Modeling System (HEC-HMS) model. The HEC-HMS Rainfall-runoff method is used for calculating the potential of the local discharge that flows into Saguling resevrvoir. The parameters used in the model are deficit constant (loss parameter), linear reservoir (baseflow parameter), dan lag time (transform parameter). Rainfall-runoff model produced good calibration values for Citarum-Nanjung Gauging Station with R2 of 0.8 and the Nash-Sutcliffe efficiency (NSE) value of 0.788. The verification result carried out in Saguling reservoir gives NSE of 0.8343 and R2 value of 0.83. The simulation shows that the potential discharge from local river contributes about 21.64% of the total discharge that enters  into the reservoir with monthly dependable flow for power plants, Q80 and Q85 values at 8,23 m3/s and 5,69 m3/s, respectively. The average discharge of local rivers can generate electricity of 3.89 MW - 162 MW.Keywords: Local discharge, rainfall runoff, potential discharge, Saguling reservoir

Special treatment for watershed management was needed due to severe of watershed condition in most regions in Indonesia. The treatment should be directed to comprehensive changes of management paradigm for all aspects in it. Those were indicated by the increasing of disasters around the watershed, such as floods, droughts, landslides, erosion and increased of sediment transported by the river basin. The increasing of sedimentation which occurs in the river flow will disrupt the performance of existing hydraulic structure in the river. The event could be monitored by hydrological data, especially with the continuously and accurately of discharge and sediment data. In order to solve the problem, sediment data quality control model was needed. The purpose of this research is to determined suspended sediment data quality control model, in order to have continuous and quality guaranteed of sediment transport data. The scopes of this sediment data quality control were making criteria and sub, determining rank priority between criteria and sub, arranging scoring form, trial and error, finalization. The model consists of three main stages, there are measurement of discharge and taking sediment sample (QC1), drawing of sediment rating curve (QC2), and conversion of discharge data to sediment transport (QC3).

River discharge data in Indonesia has been published since 1909 with number of hydrologic stations relatively increasing but conditions of quality were decreasing. The quality of discharge data has become a key issue in the field of hydrology. Research and Development Center for Water Resources has developed a method of one year hydrological data quality control for the period of 2014 -2018. The purpose of this study was to provide quality overview of discharge data and technical recommendation for improvements which need to be made. Discharge data quality control model consists of station condition, rating curve, water level data, and daily discharge data . The results of station conditions obtained from 14 gauging stations were categories as: 7 Good, 5 Poor, and 2 Bad. Analysis of rating curve were carried out on 840 stations, result shows 299 stations with categories of Good for 11 stations and Poor for 288 stations. Analysis of water level data in 2016 of 651 stations shows resulted 16 Good, 351 Poor and 284 Bad. The results of daily discharge were 5 stations good categories and 179 poor. The application of quality control was made applicable with an assessment that has been completed with clear and easily understood information. Recommendations for improvement that need to be carried out easily and on target can be identified based on the RADAR diagram.

Perencanaan dan pengelolaan sumber daya air sangat bergantung pada kualitas data hidrologi yang digunakan. Data hidrologi memainkan peranan penting dalam analisis hidrologi. Ketersediaan data hidrologi yang baik dan berkualitas merupakan salah satu faktor penentu hasil analisis hidrologi. Akan tetapi, fakta di lapangan menunjukkan bahwa banyak data yang ada tidak sesuai dengan kondisi idealnya. Guna mengatasi masalah tersebut, perlu dibentuk model kendali mutu data hidrologi dalam rangka meningkatkan kualitas data hidrologi secara nasional. Lingkup kendali mutu yang dilakukan meliputi kendali mutu data hujan dan kendali mutu data debit. Analisis kendali mutu data hujan dilakukan terhadap 58 pos hujan yang tersebar di pulau Jawa.  Hasil analisis menunjukkan bahwa 41 pos berkategori baik, 14 pos berkategori sedang dan 3 pos berkategori buruk. Berdasarkan hasil tersebut dilakukan skenario perbaikan ringan, pos kategori baik meningkat menjadi 46 pos, kategori sedang berkurang menjadi 11 pos dan kategori buruk berkurang menjadi 1 pos. Analisis kendali mutu data debit dilakukan terhadap 14 pos duga air yang tersebar di pulau Jawa. Analisis dilakukan untuk QC1, QC2 dan QC3 kemudian didapat nilai QC akhir. Hasil pada QC akhir menunjukan tidak ada pos untuk kategori baik, 2 pos kategori sedang dan 12 pos kategori buruk. Berdasarkan hasil analisis tersebut dilakukan skenario perbaikan ringan dengan hasil kategori buruk meningkat menjadi baik 5 pos, kategori buruk meningkat menjadi sedang 7 pos, dan kategori sedang 1 pos.