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Total inorganic arsenic was determined by the reduction of As (V) to As (III) by the addition of 1 ml of a 25% sodium thiosulphate (Na2S2O3) solution followed by 1 min of shaking.
Reduction of As (V) to As (III) was achieved by the addition of 1 mL of a 25% sodium thiosulphate solution followed by 1 min. shaking.
The determination and quantification of these species need to be done to ensure that the treatment of raw water for public consumption is efficient in the reduction of the level of toxic inorganic species arsenic.
The extensive data collected from about four raw, four pretreated and four treatment (fresh) water samples are given in Table 2.
Water samples taken after the treatment process generally indicated much reduced total inorganic arsenic contents ranging from 50 - 70 % reduction of the original total inorganic arsenic contents.

Therefore, as promising candidates, great potential applications have been researched extensively as oxygen separator [12,13], production of oxygen-enriched carbon dioxide stream [14], membrane reactor for catalytic partial oxidation of methane to syngas [15], oxidative coupling of methane [16], solid oxide fuel cells (SOFC) and new cathode materials for oxygen reduction [17,18].
Teraoka and co-workers [20] reported Fe-based perovskite-type oxides as excellent oxygen-permeable and reduction-tolerant materials.
Their research showed that Fe-based perovskites are more stable against reduction.
According to the data obtained by XRD, compared with the perovskite cubic SrFe0.5Co0.5O3 (JDPDS file No. 46-0335) structure, the SrFexCo0.5O3-δ powders with the Fe content of x=0.5, 0.75, 1.0 are mainly composed of perovskite structure.
Table 1 The weight loss of the SrFexCo0.5O3-δ samples in helium Formula The loss of moisture water The loss of α-oxygen The loss of β-oxygen The loss of p-oxygen t (℃) wt% t (℃) wt% t (℃) wt% t (℃) wt% SrFe0.5Co0.5O3-δ 28.2-297.4 0.34 297.4-554.6 1.96 554.6-751.1 0.13 751.1-898.0 0.21 SrFe0.75Co0.5O3-δ 24.9-308.1 0.28 308.1-760.2 1.86 760.2-821.1 0.50 821.1-898.2 0.10 SrFeCo0.5O3-δ 100.0-320.0 0.37 320.0-742.6 1.41 742.6-873.9 0.66 837.9-897.6 0.17 SrFe1.25Co0.5O3-δ 31.3-321.9 0.38 321.9-737.3 1.44 737.3-898.2 0.43 The α-oxygen is suggested to be accommodated in oxygen vacancies and introduced by the A site substitution, while β-oxygen desorption is ascribable to the reduction of B cations to lower valence [28].

First, a lot of calculation data is required considering with the multiple processes of hydrodynamics, sediment transport, water quality and toxics.
It is also found that the reduction of the seawater exchange rate due to construction of tidal power plant made the increase of nutrient salt: nitrogen (1.526ton) and phosphorus (0.102ton).
- Scenario 1(S2.): The reduction of the nutrient salts by 20%
- Scenario 1(S3.): The reduction of the nutrient salts by 50% Figure 4 compares the mass balance of the Scenario 1, 2, and 3.
It is also found that the reduction of the seawater exchange rate due to construction of tidal power plant made the increase of nutrient salt: nitrogen (1.526ton) and phosphorus (0.102ton).

The long term dynamic relation between economic growth and environment pollution is analyzed by using co-integration analysis and granger causality test, generalized impulse response function and variance decomposition method in Jiangsu Province based on the VAR model, and the related data of Environment pollution and GDP indices are from 1982 to 2012.
This conclusion can provide a great reference value for promoting sustainable economic development and formulating relevant environmental policy for Jiangsu Province. the existence of Kuznets inverted U shaped curve for economic growth and environmental pollution depends on the data from different regions and different indexes measuring the levels of environmental pollution．
Shu Dong Zhou[3]use the panel data of atmospheric pollution of the industry and between output level to find that three kinds of air pollutants and the enterprise output in same direction change.
The dialectical relation is determined by the selection of regional data and index of environmental pollution.
The all data are processed by logarithm in order to maintain the stability using Eviews 6.

Based on the engineering background as which a box-girder bridge under construction in typical winter weather of Qinghai-Tibet plateau is chosen, a diffusion equation of temperature of the structure has been established, whose choices of initial and boundary conditions are discussed according to the field monitoring data and local weather information including solar radiation and air convection.
Finally, based on the determinate parameters, the temperature fields of another box-girder bridge are simulated, which agree with the measured data in the field.
Therefore, some modification of temperature model and related parameters should be done by much measured data.
(3) Our field data are obtained on Sept.28, 2011, when.
After 16:00 pm, due to the decrease of radiation intensity, there are obviously reductions of temperature in a box-girder.

For example, thinning the gate oxide requires a reduction of the supply voltage and an increase of the gate tunneling current occurs.
Mobility improvement in strained silicon takes place mainly due to a) the reduction of the carrier conductivity effective mass, and b) the reduction in the intervalley phonon scattering rates.
For a given strain, quantifying the effective mass reduction and comparing it to the enhanced mobility reveals that mass reduction alone explains only part of the mobility enhancement [8].
Most of the measurements reported up to now, however, show enhanced mobility data and drive current improvements only on long-channel devices which cannot reproduced in the same order for short-channel devices having gate lengths of 60 nm and below [25, 26].
The reduction of the thickness of the silicon layer required for UTB MOSFETs contributes also to the strain conservation in the silicon layer.

This paper introduces the basics of wireless sensor networks, focusing on the concept of sensor network data collection, data collection mechanisms, data collection in-network data aggregation, data collection and data collection applications Research.
In this process, involving many important mechanisms to sensor networks, such as: data collection mechanisms, data collection node scheduling mechanism and data collection in network data aggregation mechanism.
The data collection mechanism is an important part of its performance will directly affect the network energy savings, data collection mechanism involves data collection tree construction, data transmission routing, data aggregation mechanism within the network and node scheduling delay and other important content.
This paper introduces the basics of wireless sensor networks, focusing on the concept of sensor network data collection, data collection mechanisms, data collection in-network data aggregation, data collection and data collection applications Research.
Time network described using energy consumption data traffic conditions, the ability to aggregate data set,then copies the data transmission network to transmit an energy reduced the energy consumption data, and network data aggregation with the energy consumed far less than the application of network data aggregation to save energy by.

These data can be considered as fuzzy and the aim of this paper is to adopt TOPSIS decision making method to problems with fuzzy data.
The rating and weights of each data are expressed as triangular fuzzy numbers.
Background theory Fuzzy data In real-word, human judgements and preferences are often vague and cannot be estimated by exact numerical value.
To overcome the problem of incomplete or non-obtainable information we employ fuzzy/imprecise data.
Izadikhah (2006), Extension of the TOPSIS method for decision-making problems with fuzzy data, Applied Mathematics and Computation.

The CCU is also connected with the electric storage heaters (ESHs) via powerline communication and consolidates all local data.
For a user-friendly operation and the ability to operate synchronous to operation, the asynchronous data transfer technology AJAX is used.
For storing all process data, a MySQL database is utilized.
The PHP function on the server side is responsible for processing, saving and accessing the data as well as passing data from the server to the client and for preparing data for statistics.
Beside this bar chart there also exist a line chart with accumulated energy data.

Occasionally, there may be many users in the system and these who have terrible channel quality occupy too much resource to transport GBR data, thus lead to the reduction of system throughput.
When setting factor, both Signaling Radio Bearer (SRB) and Data Radio Bearer (DRB) should be taken into account.
We get sector throughput by means of calculating transmitted data in sector, and service delay by packet wait time.
On the other hand, some of the RBs are allocated to users who have poor channel quality to transmit GBR data instead of serving users with high channel quality; this also leads to the reduction of the sector throughput.
This is because we allocate RBs for GBR data prior.