The land carrying capacity and environmental risk assessment of livestock and poultry breeding considering crop planting

Environmental Science and Pollution Research - At present, the contradiction between survival and ecology necessitates the integration of crop planting, chemical fertilizer application, and...     

Research progress and hot spots of hydrothermal liquefaction for bio-oil production based on bibliometric analysis

Environmental Science and Pollution Research - Hydrothermal liquefaction (HTL) of biomass used HTL reaction under high temperature and pressure to produce bio-oil. This technology is considered as...     

Assessing groundwater quality and its sustainability in Joypurhat district of Bangladesh using GIS and multivariate statistical approaches

Sustainable groundwater quality is a key global concern and has become a major issue of disquiets in most parts of the world including Bangladesh. Hence, the assessment of groundwater quality is an important study to ensure its sustainability for various uses. In this study, a combination of multivariate statistics, geographical information system (GIS) and geochemical approaches was employed to evaluate the groundwater quality and its sustainability in Joypurhat district of Bangladesh. The results showed that the groundwater samples are mainly Ca–Mg–HCO₃ type. Principal component analysis (PCA) results revealed that geogenic sources (rock weathering and cation exchange) followed by anthropogenic activities (domestic sewage and agro-chemicals) were the major factors governing the groundwater quality of the study area. Furthermore, the results of PCA are validated using the cluster analysis and correlation matrix analysis. Based on the groundwater quality index (GWQI), it is found that all the groundwater samples belong to excellent to good water quality domains for human consumption, although iron, fluoride and iodide contaminated to the groundwater, which do not pose any significant health hazard according to World Health Organization’s and Bangladesh’s guideline values. The results of irrigation water quality index including sodium adsorption ratio (SAR), permeability index and sodium percentage (Na %) suggested that most of the groundwater samples are good quality water for agricultural uses. The spatial distribution of the measured values of GWQI, SAR, Fe (iron), EC (electrical conductivity) and TH (total hardness) were spatially mapped using the GIS tool in the study area.     

Correction to: Opportunities to reduce nutrient inputs to the Baltic Sea by improving manure use efficiency in agriculture

While progress has been made in reducing external nutrient inputs to the Baltic Sea, further actions are needed to meet the goals of the Baltic Sea Action Plan (BSAP), especially for the Baltic Proper, Gulf of Finland, and Gulf of Riga sub-basins. We used the net anthropogenic nitrogen and phosphorus inputs (NANI and NAPI, respectively) nutrient accounting approach to construct three scenarios of reduced NANI-NAPI. Reductions assumed that manure nutrients were redistributed from areas with intense animal production to areas that focus on crop production and would otherwise import synthetic and mineral fertilizers. We also used the Simple as Necessary Baltic Long Term Large Scale (SANBALTS) model to compare eutrophication conditions for the scenarios to current and BSAP-target conditions. The scenarios suggest that reducing NANI-NAPI by redistributing manure nutrients, together with improving agronomic practices, could meet 54–82% of the N reductions targets (28–43 kt N reduction) and 38–64% P reduction targets (4–6.6 kt P reduction), depending on scenario. SANBALTS output showed that even partial fulfillment of nutrient reduction targets could have ameliorating effects on eutrophication conditions. Meeting BSAP targets will require addressing additional sources, such as sewage. A common approach to apportioning sources to external nutrients loads could enable further assessment of the feasibility of eutrophication management targets.

     

基于探索性数据分析的汉丰湖富营养化驱动因子研究

为了探究汉丰湖富营养化驱动因子和营养状况，基于2014年水质监测数据，应用探索性数据分析方法初步研究了汉丰湖水动力条件与环境因子的相关性、水质主成分、相关环境因子熵权和营养健康指数。回归分析结果表明：水位与透明度呈正相关，流量与DO呈负相关，与流速呈负相关的因子为Chla、CODMn、NH+4-N和DTP；主成分分析提取的3个主成分分别反映了营养盐、有机污染以及藻类信息；DO、TN和TP的熵权表明汉丰湖水体的富营养状况受制于耗氧有机污染和氮、磷营养盐；营养健康指数S1>S3>S6（湖心）>S7（湖尾）>S5（湖首）>S4>S2。汉丰湖水体营养状况介于中营养到轻富营养，其中南河营养状态较高，湖心营养程度高于湖首和湖尾。减少有机污染物、营养盐的输入和改善局部水域的水动力条件可抑制藻类生长，有利于防治富营养化。 关键词： 探索性数据分析；汉丰湖；富营养化；驱动因子；水动力条件；主成分；熵权；营养健康指数     

FAHP法在污泥板框调理剂综合评价中的应用

提出了一种新的污泥板框调理剂综合评价方法。传统的CST(毛细吸水时间)、污泥比阻、泥饼含水率等指标只能单一地评价泥饼脱水效果,为了实现对调理效果的综合评价,需要考虑药剂调理费用、运输处置成本、设备处理产能、滤液处理难度等多种因素。通过长期采集中试运行数据,考察了3种污泥板框调理剂对设备、泥饼、滤液和运行4个方面17个指标的影响。引入层次分析法和模糊数学综合评价法相结合的模糊层次分析法(FAHP)对3种污泥板框调理剂进行了综合评价,采用层次分析法确定指标权重;采用隶属函数对指标进行无量纲化处理,确定其隶属度,解决了指标间的可综合性问题;最后用加权平均法得出评价综合值,综合评价值表明,在这3种调理剂中,调理剂1的综合效果最优,更适合作为该厂的污泥板框脱水调理剂。     

基于复杂系统建模的水管理政策研究进展

基于Agent的建模方法（ABSS）通过自下而上的方式，考察系统中主体的不同状态和行为特征、主体与环境的作用、主体之间的作用，来表征系统的宏观特征，是进行复杂社会环境系统分析和政策研究的重要手段，在水资源、水环境管理系统中得到了有效的应用。本文在大量文献调研的基础上，讨论了ABSS建模方法的基本原理、主要特征、系统构成、分类方法和开发工具等特征，总结了其供水系统发展、水资源分配和流域水资源管理、农业土地和水资源利用、居民用水行为、农业污染控制及人类活动的水环境影响等方面的应用，分析了其在研究内容、研究方法、研究结果等方面的发展趋势，讨论了利用该方法研究我国水资源管理和水污染控制政策的必要性和重要性。     

日照市畜牧业生产对环境的污染及其防治措施研究

畜禽粪便中大量有机污染物污染着人们赖以生存的土壤和水体，粪尿分解产生的大量有害气体污染了大气。本文结合日照市畜牧业生产的实际，对日照市畜牧业生产对环境的污染现状进行了分析，找出了日照市畜牧业生产对环境污染产生的主要原因和存在问题，提出畜牧业生产对环境污染的防治对策。     

Estimation of waste generation from floods

A framework of correlation for estimating the amount of waste generation from floods is developed. Flood waste data were collected from four recent typhoons in Taiwan. Parameters affecting the flood waste are analyzed. Population density, flooded area and amount of total rainfall are chosen as the correlating parameters for the model development, and regression diagnostics are performed to check the validity of the collected data. The simple linear model is shown to be incapable of correlating the flood waste data. An exponential model is proposed and shown to give acceptable correlation with the flood waste data spanning five orders of magnitude. The model can be useful in the planning of waste cleanup after floods.