Chlorophyll a Simulation in a Lake Ecosystem Using a Model with Wavelet Analysis and Artificial Neural Network

Accurate and reliable forecasting is important for the sustainable management of ecosystems. Chlorophyll a (Chl a) simulation and forecasting can provide early warning information and enable managers to make appropriate decisions for protecting lake ecosystems. In this study, we proposed a method for Chl a simulation in a lake that coupled the wavelet analysis and the artificial neural networks (WA–ANN). The proposed method had the advantage of data preprocessing, which reduced noise and managed nonstationary data. Fourteen variables were included in the developed and validated model, relating to hydrologic, ecological and meteorologic time series data from January 2000 to December 2009 at the Lake Baiyangdian study area, North China. The performance of the proposed WA–ANN model for monthly Chl a simulation in the lake ecosystem was compared with a multiple stepwise linear regression (MSLR) model, an autoregressive integrated moving average (ARIMA) model and a regular ANN model. The results showed that the WA-ANN model was suitable for Chl a simulation providing a more accurate performance than the MSLR, ARIMA, and ANN models. We recommend that the proposed method be widely applied to further facilitate the development and implementation of lake ecosystem management.     

水电开发对河流生态系统服务功能的影响——以澜沧江漫湾水电工程为例

人类的经济活动对河流生态系统施加的干扰越来越多,其中既有正面影响,也有负面影响.在剖析河流生态系统服务功能内涵特征的基础上,探讨了水电开发对河流生态系统服务功能影响的机理及途径,建立了评价指标体系和评估方法.并以澜沧江漫湾水电站为对象进行了案例研究.结果表明,漫湾水电工程建设对河流生态系统服务功能正面影响的价值增量为11.30×108元·a-1,负面影响的价值损失为3.27×108元·a-1.正面影响以水力发电产生的经济效益为主,负面影响以河流输沙和维持生物多样性服务功能减弱的价值损失为主.漫湾水电开发生态环境效益与生态环境成本的比值为1:5.56,生态环境影响的净现值为一26853.50×lO'元·a-1.鉴于水电开发经济效益获取所付出的巨大环境代价,提出了水电开发与河流生态系统服务功能可持续调控模型,以期为实现绿色水电开发提供参考.     

Eco-environmental water demands for the Baiyangdian Wetland

In recent years, the hydrological characters of Baiyangdian Wetland have changed greatly, which, in turn, influence the biotic component, the structure and function of the wetland ecosystem. In order to determine the demands for water resources of ecological wetland system, a method of ecological water level coefficient was suggested to calculate the water resources demands for wetland environment use. This research showed that the minimum coefficient is 0.94 and the optimal coefficient is more than 1.10. According to these two coefficients, the ecological water level and water quantity can be estimated. The results indicate that the amount of the minimal and optimal eco-environmental water requirements are 0.87 × 10⁸ and 2.78 × 10⁸ m³ in average monthly, respectively, with the maximum eco-environmental water requirement in summer and the minimum in winter. The annual change of eco-environment water demand is in according with the climate change and hydrological characters. The method of ecological water level emphasizes that wetland ecosystem adapts to the hydrological conditions, so it can be used in practice well. __________ Translated from Acta Scientiae Circumstantiae, 2005, 25(8): 1,119–1,126 [译自: 环境科学学报]     

铅在搬迁企业原址场地土壤中的空间分布及生态风险

对重庆市某实施搬迁的烧结厂原址场地土壤中的铅进行了测定.采用富集系数法,研究了该企业原址场地土壤中铅的空间分布;采用Hakanson潜在生态危害指数法,评价了土壤铅的生态风险.研究表明,土壤总铅含量在23.4-8.90×10<'3>mg·kg<'-1>之间,其最大含量严重超过国家相应标准(HJ350-2007).土壤铅...     

Accumulation of potentially toxic trace elements (PTEs) by native plant species growing in a typical gold mining area located in the northeast of Qinghai-Tibet Plateau

Environmental Science and Pollution Research - Though gold mines provide significant economic benefits to local governments, mining causes soil pollution by potentially toxic trace elements (PTEs)...     

国内外钢渣处理技术与综合利用技术的发展分析

介绍了国外钢渣综合利用概况,分析了我国钢渣处理技术与国外之间的差距.对存在的问题提出了建议.     

Eco-environmental water demands for the Baiyangdian Wetland

In recent years, the hydrological characters of Baiyangdian Wetland have changed greatly, which, in turn, influence the biotic component, the structure and function of the wetland ecosystem. In order to determine the demands for water resources of ecological wetland system, a method of ecological water level coefficient was suggested to calculate the water resources demands for wetland environment use. This research showed that the minimum coefficient is 0.94 and the optimal coefficient is more than 1.10. According to these two coefficients, the ecological water level and water quantity can be estimated. The results indicate that the amount of the minimal and optimal eco-environmental water requirements are 0.87 × 10⁸ and 2.78 × 10⁸ m³ in average monthly, respectively, with the maximum eco-environmental water requirement in summer and the minimum in winter. The annual change of eco-environment water demand is in according with the climate change and hydrological characters. The method of ecological water level emphasizes that wetland ecosystem adapts to the hydrological conditions, so it can be used in practice well.     

Ecosystem health assessment of urban rivers and lakes — Case study of “the six lakes” in Beijing, China

The assessment of the ecosystem health of urban rivers and lakes is the scientific basis for their management and ecological restoration. This study developed a three-level indicator system for its assessment. The results indicated that: Zhonghai and Nanhai are in the state of transition from unhealthy to critical state and all the other lakes are in unhealthy states. Water environmental quality, structure and function of the aquatic ecosystem, and the structure of waterfront areas were the constraints. Nanhai was ranked as poor and the others were all ranked as very poor. However, the ecological environment of Zhonghai and Nanhai were better than the others, the sums of the degree of membership to the healthy state and critical state were all close to 0.6. and the restorations of these lakes were moderate. The sums of the degree of membership to the healthy state and critical state of the other lakes were under 0.3, as it was difficult to restore these lakes. Some suggestions on scientific management and ecological restoration of the six lakes were proposed: ①To control non-point pollution and to improve the water quality of six lakes and the water entering into these lakes; ②To improve the hydrological conditions of six lakes; ③To rehabilitate the aquatic ecosystem and waterfront areas.     

城市生态经济系统模型构建与分析

根据城市生态经济系统(UrbanEco-economicSystem,UEES)运行规律和系统调控的目标,建立了UEES指标体系.以宁波市为例,采用偏最小二乘算法构建了UEES模型.本例中,模型的Q2cum值为0·996,表明其具有较好的稳定性和预测能力.计算结果表明,到2007年、2012年和2020年,宁波市国内生产总值将分别达到2588×108元、3250×108元、5261×108元;万元国内生产总值能耗、城市化水平与产业结构是影响经济规模扩大的主要因素,万元工业产值废水排放量和SO2排放量与经济规模呈显著的负相关关系.在此基础上,提出了宁波生态市建设过程中经济发展的若干建议.