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Beijing, China

Bo X.,CERI Eco Technology Co. | Fu Y.Y.,Oasis Science and Technology Development Beijing Co. | Liu M.,NUCTECH Co. | Ding F.,Appraisal Center for Environment and Engineering
Procedia Environmental Sciences

Although prediction model AERMOD has been widely applied for atmospheric impact assessment in China and abroad, the considerable difficulty of getting the hourly surface meteorological data and upper data in one or more years hinders the development of atmospheric environment assessment in China. By coupling with relevant kernel (AERMOD, AERMAP, BPIPPRM) of AERMOD, AERSCREEN can capture the meteorological conditions and concentration results for the worst case without any input of meteorological data. In this paper, a comparison of atmospheric prediction on the flat terrain between AERMOD and AERSCREEN is made by setting several scenarios in condition of different underlying surfaces and source parameters. Then, a new method of atmospheric impact prediction without meteorological data based on AERSCREEN, as well as suggestions, is put forward in the end of the paper. © 2011 Published by Elsevier Ltd. Source

Liu K.K.,Beijing Normal University | Liu K.K.,CERI Eco Technology Co. | Li C.H.,Beijing Normal University | Cai Y.P.,Beijing Normal University | And 3 more authors.
Hydrology and Earth System Sciences

In this paper, a fuzzy multi-attribute decision analysis approach (FMADAA) was developed for supporting the evaluation of water resources security in nine provinces within the Yellow River basin. A numerical approximation system and a modified left-right scoring approach were adopted to cope with the uncertainties in the acquired information. Also, four conventional multi-attribute decision analysis (MADA) methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA), weighted product (WP), cooperative game theory (CGT) and technique for order preference by similarity to ideal solution (TOPSIS). Moreover, several aggregation methods including average ranking procedure, Borda and Copeland methods were used to integrate the ranking results, helping rank the water resources security in those nine provinces as well as improving reliability of evaluation results. The ranking results showed that the water resources security of the entire basin was in critical condition, including the insecurity and absolute insecurity states, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, the improvement of water eco-environment statuses in the above-mentioned provinces should be prioritized in the future planning of the Yellow River basin. © Author(s) 2014. Source

Ning S.,Beijing Normal University | Wang H.,Beijing Normal University | Tian Y.,Beijing Normal University | Yao Z.,CERI Eco Technology Co.
2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

In the guidance of conceptual of resource environment al bearing capacity (REBC), evaluation index system was constructed from 4 aspects including resource subsystem, environment subsystem, adjustment subsystem and social-economic subsystem. Set pair analysis based on entropy-AHP method was used to assess the index system of Daqing City, Results indicated that bearing capacity index in status quo showed Zhaozhou and Zhaoyuan, county of Daqing were in the poor state, and should be fallen into the focus area of resource environmental protection. Although the whole bearing situation improved from 1980s to the present, environment subsystem was deteriorating, environmental protection should be paid particular attentions. The improved measures of regional REBC were presented based on analysis of extent of opposition and homology. © 2011 IEEE. Source

Zhang D.,Chinese Academy of Agricultural Sciences | Zhang D.,CERI Eco Technology Co. | Cai D.,Chinese Academy of Agricultural Sciences | Cai D.,Key Laboratory of Dryland Farming and Water Saving Agriculture | And 5 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica

Soil respiration and its responses to soil moisture and soil temperature under different tillage systems during the period of spring maize growth were investigated in Shouyang Dryland Farming Experimental Station, Shanxi Province, China. The soil respiration rate, soil moisture and soil temperature were determined by dynamic chamber-IRGA method, in the maize field, with three tillage practices, including conventional (CT), reduced (RT), and no-till (NT). The results showed that the changes in soil respiration rates had a single peak curve, and its peak appeared in August The seasonal variations in soil respiration rates under CT, RT and NT were 0.50-4.81, 1.11-5.44 and 0.40-5.89 μmol CO2 m-2·s-1, respectively. The trends in soil respiration between CT and RT were similar, while there was a larger fluctuation in soil respiration with NT. The regression analysis showed that soil respiration had a significant correction with soil moisture or temperature, but little at the peak values of soil respiration. Soil moisture (0-10 cm) could explain 57%-76% of seasonal variations in the soil respiration. The moisture sensitivities of soil respiration were NT>RT>CT. Soil temperature (15 cm) could explain 67%-82% of seasonal variations in the soil respiration. the Q10 was NT (2.47)>RT (2.02)>CT (1.59). The two-factor model y=aebTWc or y=a+bT+cW could better describe the relationship between soil respiration and combination of soil moisture and temperature than the one-factor model. The index-power model of combination of soil moisture and temperature (10-20 cm) y=aebTWc can explain 81%-87% of variations in soil respiration (P<0.01). The sensitivities of three tillage treatments to the combination of soil moisture and temperature were: RT>CT>NT. Soil respiration was affected differently by the hydrothermic factor or by each of the single factor. Source

Ding X.-W.,North China Electrical Power University | Liu J.-G.,CERI Eco Technology Co.
Asia-Pacific Power and Energy Engineering Conference, APPEEC

With the rapid development of economy and society, energy demand of Zhangjiakou City, located in Hebei Province of China, is increasing in an high speed. In 2008, the annual accumulative total capacity of electric power is about 10.6 billion kWh, and the most of them is provided by the fossil fuel resource. Certainly, it is a very inappropriate energy structure, so the sustainable development of city is impossible in future, the status must be improved in order to achieve sustainable development. Fortunately, Zhangjiakou City has comparatively abundant solar energy resources compare with other cities of Hebei Province. Nowadays, development and application of solar energy have been regarded by the government and ordinary people. They thought that solar energy can provide more and more electric power in future, and actual examples have been applied in the recent years supported by local governments, such as solar lighting system, grid-connect photovoltaic generation, distributed generation, wind-solar hybrid system, and so on. This paper discusses the current situation of solar energy source in Zhangjiakou City, describes the utilization of photovoltaic power, and introduces the prospect of photovoltaic application in future Zhangjiakou City. © 2011 IEEE. Source

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