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Purpose of present study is to investigate the performance of a single basin double slope solar still in conjunction with a thermal energy storage material: paraffin wax as a heat reservoir under the liner of the basin. The heat transfer coefficients are evaluated and their variations are studied. Furthermore, the constant C and n of the Nusselt's expression has been calculated. Overall 61% gain was...
Based on characteristics of lake eutrophication, total phosphorus (TP), total nitrogen (TN), chemical oxygen demand(CODMn), secchi disk depth (SD) and biomass (BIO) were chosen as evaluation indexes. Aiming at the problem being too complex for the present evaluation methods on lake eutrophication, a new method, improved set pair analysis model was used to solve the complicated non-linear relation...
Identification of water quality conditions in a river system based on limited observations is an essential task for meeting the goals of environmental management. Various classification methods have been used for water quality estimation. However, a discrepancy frequently arises from the lack of a clear distinction between each water utilization mode, the uncertainty in the quality criteria employed...
The problem of arsenic pollution in the ground water of West Bengal (WB), India may be a geochemical happening, but the matter is yet unsolved. To identify correlation amongst the ground water parameters (GWP), fuzzy regression analytical technique has been utilized and it is established that Na, K, Fe, pH and hardness have distinct correlations in arsenic prone areas and non-arsenic prone areas.
Opencast mining may lead to natural erosion of ore material due to overland flow of water accumulated from rainfall. The overland flow may ultimately reach the nearby surface water body. This process may lead to the release of U-238 and its daughter products into the surface water body. The present study is carried out to assess the radiological impact of the erosion in terms of dose due to U-238...
The application of Fuzzy Multi Criteria Decision Making (FMCDM) with case studies for ranking the industries, the paper presents the multifaceted formalism along with Type 1 Fuzzy logic Inference System (Type 1 FLS) for fuzzily describing river water quality for bathing. It is the belief that the Computing With Words (CWW) methodology with focus on fuzzy logic will be of practical utility in addressing...
As a powerful global optimization approach, genetic algorithms (GA)can solve a variety of optimization problems in which the objective function is discontinuous, non-differentiable, or highly non-linear, to produce high convergence speed and vast search space. In this thesis, Genetic algorithm and BP algorithm can be combined to achieve complementary advantages in order to help solve the problem better...
Marine environment is an important component of natural environment. It is a basic guarantee to realize the sustainable development of marine economy. The increasing marine environmental pollution causes many bad results. The paper selected the contents of inorganic nitrogen, activated phosphate, oil, mercury (Hg), lead (Pb), arsenic (As) and copper (Cu) as evaluation indexes. Then it established...
Aimed at the quantitative analysis for the run risk of water quality, an analysis method of grey-stochastic compound uncertainty for water quality risk under cascade development mode was established. Regarding respectively the many uncertainties affected the water quality risk and the compound uncertainty relationship among the various factors as random effect and grey relationship, thus establishing...
A large number of uncertain problems existing in rural drinking water safety system, it is of great significances to apply Set Pair Analysis (SPA) theory to analyze and study these uncertain problems in rural drinking water safety system. This study applies SPA theory to conduct an integrated evaluation of water quality to rural drinking water safety in Ya'an City, based on classification values of...
The previous SPA study only focused on three ranks evaluation. This paper presents an improved SPA method utilizing original relation degree malleability of SPA, and extends it to five ranks evaluation. The improved method can depict identity, discrepancy and contrary in more detail. In addition, this study combines fuzzy comprehensive evaluation method to evaluate six main factors of surface water...
With the development of social and economic, the pollution in river is worse. It is very important to study river pollution. In view of the uncertainty of river water pollution, Velocity and dispersion coefficient and attenuation in river are considered as uncertainty parameters and expressed as grey parameters. One dimensional gray numerical water quality model is developed according to gray theory...
The aquatic environment is a complicated system with uncertainty. The study of uncertainty in water quality modeling can improve peoplepsilas understanding of the nature of the aquatic environment and it is important to the development of water quality modeling. The typology and sources of uncertainty is represented to improve the understanding and characterizing of the uncertainty in water quality...
Water quality eutrophication has become a worldwide environmental problem in recent years, and assessment and classification of scenic water bodies will help for prevention and remediation of water eutrophication. The study presents the application of combination technique of fuzzy cluster and grey cluster, to classify and evaluate scenic water bodies in Shanghai. The results showed that the scenic...
Risk assessment on water resources is a new subject combined the water research technology and the uncertainty or risk theory. The water resources system is a complex dynamic system influenced by uncertain factors. Especially the stochastic characters of hydrological variables and time-space uncertainty of pollutants affected the water resources system security seriously. This paper is based on risk...
The mid-atlantic regional coastal ocean observing system (MARCOOS) will implement an end-to-end regional ocean data acquisition, management, modeling and product generation system to satisfy user needs as defined by the middle atlantic coastal ocean observing regional association (MACOORA). MARCOOS will leverage extensive existing regional assets to augment federal backbone products in response to...
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