Weighted element method is proposed in this paper to improve the accuracy of calculating storage capacity of geothermal reservoirs. By making full use of all geothermal wells in the calculation region,this method had been proposed by the author in 2011,which is defined by every three neighboring geothermal wells. The calculation region is divided into many calculation elements. As a result, the entire calculation region of the distribution parameters is discretized into independent in each element with lumped parameters. The arithmetic mean of three-node parameters in each element is used as the lumped parameter, and the block with the same set of parameters is divided into calculation regions as small as possible. The effect of one element as well as its parameters in the entire.Calculation region depends on the weight of the area of this element in the whole calculation area. The weighted element method can be used to calculate the volumetric water storage capacity of geothermal fluids, elastic release storage capacity, geothermal storage capacity of volume water, geothermal energy storage capacity of elastic releasing water, geothermal storage capacity of geothermal reservoir rocks for each element, respectively. The storage capacities of various elements and the entire calculation regions can be calculated with superposition. The proposed approach was used to calculate the storage capacity of geothermal resources in Gaoling Formation of Xi’an Depression, in which data of 57 existing geothermal wells were available. If the geothermal energy recovery is set at 10% and the exploitation remains stable, the geothermal energy contained in the geothermal reservoir can be extracted for more than 7,000 years. Under the current conditions of exploitation technology, the actual geothermal energy that can be effectively exploited and used is 1915.6025×109kcal, which is equivalent to standard coal of 27.36575×104t.
Untreated disposal of coal mine wastewaters from Shanbei loess have environmental and public health concerns in the developing Shanbei Loess Plateau, Northwest China. An in-situ experiment was conducted in the easily accessible loess to study their efficiency in removal of pollutants. Approximately 565L of wastewater was used in the test, which lasted 333min. Loess samples were collected at 5 discrete depths, 0.2m, 0.4m, 0.6m, 1m, and 1.5m from the surface before, at the end of, and 20 days after the infiltration test. Pollutants commonly found in wastewaters were analyzed for all the loess samples. The test indicates the loess is more effective for Cd and Pb.
It is not easy to handle relativities of metals toxicology and ecological risk grades, especially, fuzzy in realization of soil heavy metal pollution, when the method suggested by Hakanson was used to assess ecological risk. To explore a better way to solve this problem, certainty in ecological risk grades was fuzzed through engineering fuzzy set theory, and a fuzzy mathematic model was built. The model was then applied in Xiaoqinling gold mining regional, which was selected as case study and where soil was polluted by heavy metals over decades, and its results were compared with that from Hakanson method. The results showed that the fuzzy mathematic model was a better way for ecological risk assessment of heavy metals in contaminated soil.
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