Radar based rainfall forecast for sewage systems control

2001 ◽  
Vol 43 (5) ◽  
pp. 79-86 ◽  
Author(s):  
H. Aspegren ◽  
C. Bailly ◽  
A. Mpé ◽  
N. Bazzurro ◽  
A. Morgavi ◽  
...  

There has been an increasing demand for accurate rainfall forecast in urban areas from the water industry. Current forecasting systems provided mainly by meteorological offices are based on large-scale prediction and are not well suited for this application. In order to devise a system especially designed for the dynamic management of a sewerage system the “RADAR” project was launched. The idea of this project was to provide a short-term small-scale prediction of rain based on radar images. The prediction methodology combines two methods. An extrapolation method based on a sophisticated cross correlation of images is optimised by a neural network technique. Three different application sites in Europe have been used to validate the system.

2005 ◽  
Vol 51 (12) ◽  
pp. 191-199 ◽  
Author(s):  
R. Craggs ◽  
L. Golding ◽  
S. Clearwater ◽  
L. Susarla ◽  
W. Donovan

Chironomid midge larvae are a valuable component of wastewater stabilisation pond (WSP) ecology. However, in high numbers, adult midge swarms can be a nuisance to near-by urban areas. Improving WSP treatment by incorporating aerobic or maturation ponds or by the addition of pre-treatment to reduce organic loading also increases the availability of aerobic sediment (midge larva habitat) in the pond system and the potential for midge nuisance problems. The efficacy of Maldison, an organophosphate traditionally used to control midge larvae in New Zealand WSPs, was compared to Bacillus thuringiensis var. israelensis (Bti), Methoprene, Pyriproxyfen and Diflubenzuron which are all more specific to insects and have fewer adverse environmental effects. Initial laboratory trials established the concentration of each compound required to achieve 95% control of the midge population. During 21-day small-scale trials within the WSP, Bti, Diflubenzuron and Maldison reduced live larvae numbers substantially (80–89%) compared to controls and adult midge emergence was markedly reduced by all compounds (72–96%). Large-scale trials with Bti (Vectobac® WG) powder (1000 μg/L) only caused a slight reduction in midge larvae numbers compared to controls and had little effect on adult emergence, however, Methoprene (Prolink XRG granules) (50 μgAI/L) reduced midge adult emergence by ∼80% over 25 days and has been used successfully to control several midge nuisance outbreaks.


Author(s):  
Abdul Rachman Rasyid ◽  
Andi Lukman Irwan ◽  
Laode Muhammad Asfan Mujahid ◽  
Ihsan ◽  
Mimi Arifin ◽  
...  

Wajo Regency is one of the districts that have a role in the development and progress of South Sulawesi Province. Therefore, agricultural production facilities will be developed through processing mechanisms to the creative industries. Irrigation will be directed at the development of large-scale and small-scale rural irrigation through artificial embankments, revitalization of swamps and lakes. Whereas in urban areas a residential environment will be held an adjustment, especially near the of Lake Tempe in the area of ​​Sengkang as the Capital of Wajo Regency. The purpose of this study is to find easy access for the community to drinking water and to provide accurate data related to Geographic Information System (GIS)-based regional location conditions. The approach used in this activity is a field survey related to the existing condition of the location by assisting the community, increasing knowledge by training or counseling aimed at solving existing problems in the village / subdistrict in Tempe Subdistrict, Wajo Regency, as well as training and utilizing digital databases related to the profile and potential of the city. The results of the study obtained were that some districts had several problems, namely, solid waste systems, road networks, inadequate buildings and inadequate clean water especially in Attakae, Maddukelleng, Pattirosompe and Tempe. However, there is potential that can be developed to improve the regional economy, such as the silk industry and wood industry.


Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3055
Author(s):  
Olivier Pieters ◽  
Tom De Swaef ◽  
Peter Lootens ◽  
Michiel Stock ◽  
Isabel Roldán-Ruiz ◽  
...  

The study of the dynamic responses of plants to short-term environmental changes is becoming increasingly important in basic plant science, phenotyping, breeding, crop management, and modelling. These short-term variations are crucial in plant adaptation to new environments and, consequently, in plant fitness and productivity. Scalable, versatile, accurate, and low-cost data-logging solutions are necessary to advance these fields and complement existing sensing platforms such as high-throughput phenotyping. However, current data logging and sensing platforms do not meet the requirements to monitor these responses. Therefore, a new modular data logging platform was designed, named Gloxinia. Different sensor boards are interconnected depending upon the needs, with the potential to scale to hundreds of sensors in a distributed sensor system. To demonstrate the architecture, two sensor boards were designed—one for single-ended measurements and one for lock-in amplifier based measurements, named Sylvatica and Planalta, respectively. To evaluate the performance of the system in small setups, a small-scale trial was conducted in a growth chamber. Expected plant dynamics were successfully captured, indicating proper operation of the system. Though a large scale trial was not performed, we expect the system to scale very well to larger setups. Additionally, the platform is open-source, enabling other users to easily build upon our work and perform application-specific optimisations.


Heredity ◽  
2014 ◽  
Vol 113 (3) ◽  
pp. 205-214 ◽  
Author(s):  
J C Habel ◽  
R K Mulwa ◽  
F Gassert ◽  
D Rödder ◽  
W Ulrich ◽  
...  

1996 ◽  
Vol 21 (4) ◽  
pp. 353-386 ◽  
Author(s):  
S. M LEMKOWITZ ◽  
B. H BIBO ◽  
G. H LAMERIS ◽  
J. A. B. A. F. BONNET

1984 ◽  
Vol 8 ◽  
pp. 83-89
Author(s):  
Ian B. Howie

Matching production to the markets for meat makes the assumption that individual producers can have an influence on market forces. This may well apply nowadays to some of the very large scale poultry production units but, individually, beef producers can have little if any influence on the marketing scene. Although there are farmers who produce several hundred fat cattle a year, the bulk of the beef produced comes from fairly small scale producers. Much of beef production is on a fairly haphazard basis with little or no recording or budgeting.Nevertheless, small scale producers and feeders who move in and out of the market can exploit local or short-term, favourable, market fluctuations and, with skilful buying and selling, make good profits on a quick turnover. Larger scale producers who have pre-planned fully integrated production systems cannot react as quickly to any great extent to short-term marketing opportunities. I regard marketing as only one of the many variable factors to be taken into account when planning a beef enterprise within a whole farming system, in which it is likely to be one of a number of enterprises which have to be kept in balance.


2019 ◽  
Vol 491 (3) ◽  
pp. 3061-3081 ◽  
Author(s):  
Andrés N Salcedo ◽  
Benjamin D Wibking ◽  
David H Weinberg ◽  
Hao-Yi Wu ◽  
Douglas Ferrer ◽  
...  

ABSTRACT Cluster weak lensing is a sensitive probe of cosmology, particularly the amplitude of matter clustering σ8 and matter density parameter Ωm. The main nuisance parameter in a cluster weak lensing cosmological analysis is the scatter between the true halo mass and the relevant cluster observable, denoted $\sigma _{\ln M_\mathrm{ c}}$. We show that combining the cluster weak lensing observable ΔΣ with the projected cluster–galaxy cross-correlation function wp,cg and galaxy autocorrelation function wp,gg can break the degeneracy between σ8 and $\sigma _{\ln M_\mathrm{ c}}$ to achieve tight, per cent-level constraints on σ8. Using a grid of cosmological N-body simulations, we compute derivatives of ΔΣ, wp,cg, and wp,gg with respect to σ8, Ωm, $\sigma _{\ln M_\mathrm{ c}}$, and halo occupation distribution (HOD) parameters describing the galaxy population. We also compute covariance matrices motivated by the properties of the Dark Energy Survey cluster and weak lensing survey and the BOSS CMASS galaxy redshift survey. For our fiducial scenario combining ΔΣ, wp,cg, and wp,gg measured over 0.3−30.0 h−1 Mpc, for clusters at z = 0.35−0.55 above a mass threshold Mc ≈ 2 × 1014 h−1 M⊙, we forecast a $1.4{{\ \rm per\ cent}}$ constraint on σ8 while marginalizing over $\sigma _{\ln M_\mathrm{ c}}$ and all HOD parameters. Reducing the mass threshold to 1 × 1014 h−1 M⊙ and adding a z = 0.15−0.35 redshift bin sharpens this constraint to $0.8{{\ \rm per\ cent}}$. The small-scale (rp < 3.0 h−1 Mpc) ‘mass function’ and large-scale (rp > 3.0 h−1 Mpc) ‘halo-mass cross-correlation’ regimes of ΔΣ have comparable constraining power, allowing internal consistency tests from such an analysis.


2019 ◽  
Vol 36 (6) ◽  
pp. 971-985 ◽  
Author(s):  
Seppo Pulkkinen ◽  
V. Chandrasekar ◽  
Ari-Matti Harri

AbstractNowcasts (short-term forecasts) of heavy rainfall causing flash floods are highly valuable in densely populated urban areas. In the Collaborative Adaptive Sensing of the Atmosphere (CASA) project, a high-resolution X-band radar network was deployed in the Dallas–Fort Worth (DFW) metroplex. The Dynamic and Adaptive Radar Tracking of Storms (DARTS) method was developed as a part of the CASA nowcasting system. In this method, the advection field is determined in the spectral domain using the discrete Fourier transform. DARTS was recently extended to include a filtering scheme for suppressing small-scale precipitation features that have low predictability. Building on the earlier work, Stochastic DARTS (S-DARTS), a probabilistic extension of DARTS, is developed and tested using the CASA DFW radar network. In this method, the nowcasts are stochastically perturbed in order to simulate uncertainties. Two novel features are introduced in S-DARTS. First, the scale filtering and perturbation based on an autoregressive model are done in the spectral domain in order to achieve high computational efficiency. Second, this methodology is extended to modeling the temporal evolution of the advection field. The performance and forecast skill of S-DARTS are evaluated with different precipitation intensity thresholds and ensemble sizes. It is shown that S-DARTS can produce reliable probabilistic nowcasts in the CASA DFW domain with 250-m spatial resolution up to 45 min for lower precipitation intensities (below 2 mm h−1). For higher intensities (above 5 mm h−1), adequate skill can be obtained up to 15 min.


Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 51
Author(s):  
Susan Susan ◽  
Dyah Kusuma Wardhani

The research aimed to comprehensively review the systems related to Building Integrated Photovoltaic (BIPV) and Building Integrated Wind Turbine (BIWT). The review purposed to observe the advantages and disadvantages of the application. Designers could use that comparison for consideration of choosing the most suitable Building Integrated Renewable Energy (BIRE) concept for projects. The research presented a literature review of BIRE systems, particularly on BIPV and BIWT systems. The critical analysis focused on some parameters related to their main energy source, type, influencing factor, efficiency, and boundary. The observation about BIPV would be divided into subgroups according to photovoltaic (PV) materials, modules, efficiency, performance’s boundaries, and the general rule of thumb of its installation. The research finds that the BIPV application has advantages in terms of the building’s application scale. It can be applied from small-scale to large-scale. Furthermore, the BIPV application does not need extra space and could directly replace the conventional building envelope materials. The issues of non-uniformity and heat transfer in BIPV can be solved by installing PV in folding-concept and placed an air gap with fins inside. On the other hand, BIWT also has an abundant energy source, but the application limits to windy areas (rural areas or urban areas in high elevation). Aside from those limitations, the BIWT application also has issues of structure, noise, and aesthetical value.


2021 ◽  
Author(s):  
Massita Ayu Cindy Putriastuti ◽  
◽  
Vivi Fitriyanti ◽  
Muhammad Razin Abdullah

• Renewable energy (RE) projects in Indonesia usually have IRR between 10% and 15% and PP around 6 to 30 years • Attractive return usually could be found in large scale RE projects, although there are numerous other factors involved including technology developments, capacity scale, power purchasing price agreements, project locations, as well as interest rates and applied incentives. • Crowdfunding (CF) has big potential to contribute to the financing of RE projects especially financing small scale RE projects. • P2P lending usually targeted short-term loans with high interest rates. Therefore, it cannot be employed as an alternative financing for RE projects in Indonesia. • Three types of CF that can be employed as an alternative for RE project funding in Indonesia. Namely, securities, reward, and donation-based CF. In addition, hybrid models such as securities-reward and reward-donation could also be explored according to the project profitability. • Several benefits offer by securities crowdfunding (SCF) compared to conventional banking and P2P lending, as follows: (1) issuer do not need to pledge assets as collateral; (2) do not require to pay instalment each month; (3) issuer share risks with investors with no obligation to cover the investor’s loss; (4) applicable for micro, small, medium, enterprises (MSMEs) with no complex requirements; and (5) there is possibility to attract investors with bring specific value. • Several challenges that need to be tackled such as the uncertainty of RE regulations; (1) issuer’s inability in managing the system and business; (2) the absence of third parties in bridging between CF platform and potential issuer from RE project owner; (3) the lack of financial literacy of the potential funders; and (4) lastly the inadequacy of study regarding potential funders in escalating the RE utilisation in Indonesia.


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