POTENSI PEMANFAATAN SUMBER DAYA AIR KULONG BEKAS PENAMBANGAN TIMAH UNTUK MENUNJANG IMBANGAN AIR DI KABUPATEN BANGKA TENGAH

2021 ◽  
Vol 8 (2) ◽  
pp. 65-75
Author(s):  
Miskar Maini ◽  
Junita Eka Susanti
Keyword(s):  
Remote Sensing ◽  
Data Model ◽  
Standard Operating ◽  
Operating Rule

Sumber daya air kulong bekas penambangan timah mempunyai potensi yang cukup besar untuk dimanfaatkan. Pemanfaatan sumber air tersebut belum didasari pada prinsip nilai keandalan kulong itu sendiri. Penelitian ini bertujuan untuk mengetahui berapa besar potensi keandalan kulong dalam pemanfaatnya. Penelitian ini dilakukan pada 7 (tujuh) lokasi kulong bekas penambangan timah dengan karakterikstik luas dan kedalaman kulong yang bervariasi. Karakterikstik luasan dan kedalaman Kulong diukur menggunakan Ecosounder remote sensing. Estimasi aliran yang masuk ke dalam badan kulong diperoleh dengan melakukan analisis ketersedian air menggunakan model NRECA. Simulasi keandalan kulong untuk masa 21 tahun ke depan (2017-2037) dilakukan dengan metode Standard Operating Rule (SOR) dengan memasukan debit sintesis hasil bangkitan data model Markov untuk musim ganda. Hasil penelitian menunjukan potensi ketersediaan debit rerata (Q) untuk Kulong Krasak, Q =7,24 ltr/s dengan keandalan 50% , Kulong Air PL, Q  =11,77 ltr/s dengan keandalan 85%, Kulong Kebintik, Q = 66,45 ltr/s dengan Keandalan 97%, Kulong Baja, Q = 63,02 ltr/s dengan keandalan 0%, Kulong Jongkong Ali, Q = 65,05 ltr/s dengan Keandalan 100%, Kulong Rumbiah, Q = 30,93 ltr/s dengan Keandalan 70%, Kulong Ijo, Q = 37,71 ltr/s dengan Keandalan 96%. Status imbangan air yaitu kebutuhan air total sebesar 297,98 ltr/s, sedangkan ketersediaan air di 7 Kulong dengan total debit sebesar 219,16 ltr/s antara ketersediaan air dari 7 Kulong dengan kebutuhan air dari 6 Kecamatan mengalami defisit air sebesar 78,82 ltr/s, sehingga pemanfaatan 7 Kulong bekas tambang Timah ini cukup sigfinikan untuk menunjang imbangan air di Kabupaten Bangka Tengah.

Design and Realization of Remote Sensing Image Publication System Based on SuperMap IS.NET

2014 ◽  
Vol 608-609 ◽  
pp. 363-366
Author(s):  
Xiao Fang Wang
Keyword(s):  
Remote Sensing ◽  
Data Model ◽  
Remote Sensing Image ◽  
Model System ◽  
System Structure ◽  
Key Technology ◽  
Structure System ◽  
The Core ◽  
Image Production

With the more and more expanded city and the heavier remote sensing image production, update, management, building the modern Remote Sensing Image Publication System is placed in the forefront for providing the good services. The paper discussed the NET system of Remote Sensing Image Publication System based on SuperMap IS.NET, and so more, the core contents including data-model, system-structure, system-aim, and key technology about the system are introduced in this paper.

Simulasi Operasi Waduk Lamong untuk Kepentingan Air Baku dan Irigasi

2015 ◽  
Vol 9 (1) ◽  
pp. 16
Author(s):  
Andi Sulistiono ◽  
Dadan Rahmandani ◽  
Joko Triyono
Keyword(s):  
Standard Operating ◽  
Operating Rule

Daerah Aliran Sungai (DAS) Lamong berada di wilayah Kabupaten Lamongan dan Mojokerto untuk bagian hulu, Kabupaten Gresik dan Kodya Surabaya untuk bagian hilir. Luas DAS Lamong ± 720 km2 dengan panjang alur sungai utama ± 103 km. Keadaan hidrologi DAS Lamong dalam keadaan kritis, akibatnya, sebagian besar wilayah DAS Lamong yang berada di wilayah Kabupaten Gresik dan Kota Surabaya, setiap tahun mengalami banjir akibat luapan Kali Lamong. Sebaliknya di bagian hulu yaitu Kabupaten Lamongan selalu kekurangan air pada musim kemarau. Penelitian ini, inflow Waduk Lamong diperoleh dengan metode bangkitan data dengan menggunakan metode Thomas Fiering. Data aliran historis diperoleh melalui simulasi pengalihragaman hujan menjadi aliran model Mock dengan menggunakan data hujan Stasiun Bluluk, data hujan Stasiun Ngimbang dan data hujan Stasiun Mantup dan data pengukuran debit Stasiun Boboh tahun 1995 - 1997. Perhitungan kebutuhan air baku berdasarkan kriteria perencanaan air bersih Ditjen Cipta Karya, Kementerian PU tahun 2000, sedangkan kebutuhan air irigasi dihitung berdasarkan Standar Perencanaan Irigasi (KP-01) tahun 1986. Simulasi yang digunakan yaitu dari tahun 2016-2025 dengan menggunakan Standard Operating Rule (SOR). Hasil penelitian menunjukkan bahwa kebutuhan air baku masyarakat yang diasumsikan akan dilayani oleh Waduk Lamong yaitu sebesar 5,70 juta m3/thn pada tahun 2015 dan 5,74 juta m3/thn pada tahun 2025. Reliabiltas Waduk Lamong dalam melayani kebutuhan air baku akan tercapai 99,17% dengan luas areal tanam yang seluas 2.117 Ha dengan reliabilitas dalam melayani air irigasi 96,25%.

SIMULASI POLA OPERASI EMBUNG SERBAGUNA TAMBAKSARI KABUPATEN CILACAP DENGAN METODE STANDARD OPERATING RULE (SOR)

2020 ◽  
Vol 14 (2) ◽  
pp. 25
Author(s):  
Ines Epti Noniasari ◽  
Puji Utomo
Keyword(s):  
Water Availability ◽  
Water Demand ◽  
Population Data ◽  
Rainfall Data ◽  
Climatological Data ◽  
Sor Method ◽  
Standard Operating ◽  
Retention Basin ◽  
Average Water ◽  
Operating Rule

Abstract Human survival depends on water availability as water is a basic needs. As population increases, water becomes more limited. One of the ways to prevent draught is collecting water in retention basin. Tambaksari Multipurpose Retention Basin serves to provide basic water demand and irrigation water for the local community. Water availability and water demand should be equal, so a simulation of the operating patter of the retention basin is necessary to distribute water equally and determining the failure level of the retention basin in performing its task. In the present study, the retention basin operating pattern was simulated using Standard Operating Rule (SOR) method. The present study used secondary data, including population data, rainfall data, climatological data and technical data of the retention basin. The size of DAS Tambaksari is 0.41 km² while the size of the irrigated land is 12 Ha. The rainfall data was from 2008-2018 obtained from two rain stations, population data of Tambaksari Village was from 2008-2019, and the climatological data was from 2014-2019. The simulation result of the retention basin operating pattern using SOR method showed that the final collection wasn’t under minimum collection and failure happened in the operation of the retention basin for one year. . The optimal ability of the target release is 70.83% for the reliability of irrigation needs and the level of reliability for raw water needs of 58.33%. Population projection analysis to determine the population in 20 years showed that the future population of 4044 required 3.861 l/person/s of water. Irrigation demands for rice-rice-palawija planting pattern showed that irrigation intake was 11.89 l/s. Water balance determined the balance between inflow and outflow. The value for average water availability was 0.021 m³/s while total average water demand was 0.016 m³/s. therefore, the water availability in partial intake wasn’t able to meet the irrigation and basic water demands. Keywords: discharge, retention basin operation simulation, SOR

An integrated agricultural drought monitoring model based on multi-source remote sensing data: model development and application

2019 ◽  
Vol 39 (20) ◽  
Author(s):  
温庆志 WEN Qingzhi ◽  
孙鹏 SUN Peng ◽  
张强 ZHANG Qing ◽  
刘嘉敏 LIU Jiamin ◽  
史培军 SHI Peijun
Keyword(s):  
Remote Sensing ◽  
Data Model ◽  
Model Development ◽  
Remote Sensing Data ◽  
Agricultural Drought ◽  
Drought Monitoring ◽  
Sensing Data ◽  
Model Based ◽  
Monitoring Model

scholarly journals A data-model fusion approach for upscaling gross ecosystem productivity to the landscape scale based on remote sensing and flux footprint modelling

2010 ◽  
Vol 7 (9) ◽  
pp. 2943-2958 ◽  
Author(s):  
B. Chen ◽  
Q. Ge ◽  
D. Fu ◽  
G. Yu ◽  
X. Sun ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Model ◽  
Land Surface ◽  
Vegetation Index ◽  
Vegetation Indices ◽  
Consecutive Series ◽  
Fusion Model ◽  
Flux Footprint ◽  
Model Fusion ◽  
Water Index

Abstract. In order to use the global available eddy-covariance (EC) flux dataset and remote-sensing measurements to provide estimates of gross primary productivity (GPP) at landscape (101–102 km2), regional (103–106 km2) and global land surface scales, we developed a satellite-based GPP algorithm using LANDSAT data and an upscaling framework. The satellite-based GPP algorithm uses two improved vegetation indices (Enhanced Vegetation Index – EVI, Land Surface Water Index – LSWI). The upscalling framework involves flux footprint climatology modelling and data-model fusion. This approach was first applied to an evergreen coniferous stand in the subtropical monsoon climatic zone of south China. The EC measurements at Qian Yan Zhou tower site (26°44´48" N, 115°04´13" E), which belongs to the China flux network and the LANDSAT and MODIS imagery data for this region in 2004 were used in this study. A consecutive series of LANDSAT-like images of the surface reflectance at an 8-day interval were predicted by blending the LANDSAT and MODIS images using an existing algorithm (ESTARFM: Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model). The seasonal dynamics of GPP were then predicted by the satellite-based algorithm. MODIS products explained 60% of observed variations of GPP and underestimated the measured annual GPP (= 1879 g C m−2) by 25–30%; while the satellite-based algorithm with default static parameters explained 88% of observed variations of GPP but overestimated GPP during the growing seasonal by about 20–25%. The optimization of the satellite-based algorithm using a data-model fusion technique with the assistance of EC flux tower footprint modelling reduced the biases in daily GPP estimations from about 2.24 g C m−2 day−1 (non-optimized, ~43.5% of mean measured daily value) to 1.18 g C m−2 day−1 (optimized, ~22.9% of mean measured daily value). The remotely sensed GPP using the optimized algorithm can explain 92% of the seasonal variations of EC observed GPP. These results demonstrated the potential combination of the satellite-based algorithm, flux footprint modelling and data-model fusion for improving the accuracy of landscape/regional GPP estimation, a key component for the study of the carbon cycle.

Collaborative Geospatial Web Services for Multi-Dimension

2010 ◽  
pp. 212-231
Author(s):  
Chunyang Hu ◽  
Yongwang Zhao ◽  
Dianfu Ma
Keyword(s):  
Remote Sensing ◽  
Web Services ◽  
Data Visualization ◽  
Data Model ◽  
Remote Sensing Data ◽  
Geospatial Data ◽  
Data Sets ◽  
Visualization System ◽  
Sensing Data ◽  
Organization And Management

Satellite remote sensing imagery data is an important Geospatial data which is playing an increasingly important role in many applications such as crisis management, military activities and government decision-making. However, it will continue to be a great challenge to organize and manage these multi-dimension massive remote sensing data for collaborative visualization services in Internet environment. In this chapter the authors proposed a global hierarchical data model of massive multi-dimension remote sensing data based on tiling and pyramid technologies for the organization and management of multi-source and multi-scale remote sensing data. The authors implemented a collaborative Geospatial data visualization system based on their proposed storage structure of data model using Web Services, WSRF and Web2.0 technologies. Finally, the authors evaluated the prototype system with real data sets, which demonstrated the high performance data visualization in their system.

scholarly journals SIMULASI POLA OPERASI EMBUNG SERBAGUNA TAMBAKSARI KABUPATEN CILACAP DENGAN METODE STANDARD OPERATING RULE (SOR)

2021 ◽  
Vol 14 (2) ◽  
pp. 25
Author(s):  
Ines Epti Noniasari ◽  
Puji Utomo
Keyword(s):  
Water Availability ◽  
Water Demand ◽  
Population Data ◽  
Rainfall Data ◽  
Climatological Data ◽  
Sor Method ◽  
Standard Operating ◽  
Retention Basin ◽  
Average Water ◽  
Operating Rule

Abstract Human survival depends on water availability as water is a basic needs. As population increases, water becomes more limited. One of the ways to prevent draught is collecting water in retention basin. Tambaksari Multipurpose Retention Basin serves to provide basic water demand and irrigation water for the local community. Water availability and water demand should be equal, so a simulation of the operating patter of the retention basin is necessary to distribute water equally and determining the failure level of the retention basin in performing its task. In the present study, the retention basin operating pattern was simulated using Standard Operating Rule (SOR) method. The present study used secondary data, including population data, rainfall data, climatological data and technical data of the retention basin. The size of DAS Tambaksari is 0.41 km² while the size of the irrigated land is 12 Ha. The rainfall data was from 2008-2018 obtained from two rain stations, population data of Tambaksari Village was from 2008-2019, and the climatological data was from 2014-2019. The simulation result of the retention basin operating pattern using SOR method showed that the final collection wasn’t under minimum collection and failure happened in the operation of the retention basin for one year. . The optimal ability of the target release is 70.83% for the reliability of irrigation needs and the level of reliability for raw water needs of 58.33%. Population projection analysis to determine the population in 20 years showed that the future population of 4044 required 3.861 l/person/s of water. Irrigation demands for rice-rice-palawija planting pattern showed that irrigation intake was 11.89 l/s. Water balance determined the balance between inflow and outflow. The value for average water availability was 0.021 m³/s while total average water demand was 0.016 m³/s. therefore, the water availability in partial intake wasn’t able to meet the irrigation and basic water demands. Keywords: discharge, retention basin operation simulation, SOR

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