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Evaluating and structuring indicators for wetland assessment

Xuehua LIU, Yan SUN,

《环境科学与工程前沿（英文）》 2010年第4卷第2期页码 221-227 doi: 10.1007/s11783-010-0029-0

摘要： Wetland assessment has been a popular field of research worldwide. However, various indicators have been used in wetland assessment for different purposes and backgrounds and also because of the research limitations. Therefore, a more comprehensive, sound, and efficient indicator system is needed for researchers’ referencing to evaluate wetlands. After an extensive review of wetland assessment literatures, the reported indicators were evaluated using the developed assessment system, based on the Analytical Hierarchy Process (AHP) with three main goals: nature protection, function utilization, and sustainable development. Each indicator was evaluated using two methods. The first method was to study the percentage of the indicator application, and the second was to assess the weighted ratios assigned to the indicators according to principles of comparability, typicality, sensibility, and availability. The results of these two methods were compared to study the commonalities and specialties of the indicators. They also showed that some indicators were widely used, including biodiversity, weather and climate, hydrological change, and the output of wetland. On the other hand, other sustainable indicators were easily ignored, such as environmental carrying capacity and wetland planning. Furthermore, an indicator system for wetland assessment was structured and strategized to discuss how to choose indicators for wetland assessment under different conditions. The proposed approach can be used to guide the process of wetland assessments in the future.

关键词： wetland assessment indicators Analytical Hierarchy Process (AHP) comparison

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Novel soil quality indicators for the evaluation of agricultural management practices: a biological perspective

Giulia BONGIORNO

《农业科学与工程前沿（英文）》 2020年第7卷第3期页码 257-274 doi: 10.15302/J-FASE-2020323

摘要：

Developments in soil biology and in methods to characterize soil organic carbon can potentially deliver novel soil quality indicators that can help identify management practices able to sustain soil productivity and environmental resilience. This work aimed at synthesizing results regarding the suitability of a range of soil biological and biochemical properties as novel soil quality indicators for agricultural management. The soil properties, selected through a published literature review, comprised different labile organic carbon fractions [hydrophilic dissolved organic carbon, dissolved organic carbon, permanganate oxidizable carbon (POXC), hot water extractable carbon and particulate organic matter carbon], soil disease suppressiveness measured using a - bioassay, nematode communities characterized by amplicon sequencing and qPCR, and microbial community level physiological profiling measured with MicroResp . Prior studies tested the sensitivity of each of the novel indicators to tillage and organic matter addition in ten European long-term field experiments (LTEs) and assessed their relationships with pre-existing soil quality indicators of soil functioning. Here, the results of these previous studies are brought together and interpreted relative to each other and to the broader body of literature on soil quality assessment. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition played a weaker role in enhancing soil quality, possibly due to the range of composition of the organic matter inputs used in the LTEs. POXC was the indicator that discriminated best between soil management practices, followed by nematode indices based on functional characteristics. Structural equation modeling shows that POXC has a central role in nutrient retention/supply, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes. Their feasibility of application is discussed and needs for future research are outlined.

关键词： labile carbon long-term field experiments organic matter addition soil biological indicators tillage

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A model for the evaluation of environmental impact indicators for a sustainable maritime transportation

Lizzette Pérez LESPIER, Suzanna LONG, Tom SHOBERG, Steven CORNS

《工程管理前沿（英文）》 2019年第6卷第3期页码 368-383 doi: 10.1007/s42524-019-0004-9

摘要： Maritime shipping is considered the most efficient, low-cost means for transporting large quantities of freight over significant distances. However, this process also causes negative environmental and societal impacts. Therefore, environmental sustainability is a pressing issue for maritime shipping management, given the interest in addressing important issues that affect the safety, security, and air and water quality as part of the efficient movement of freight throughout the coasts and waterways and associated port facilities worldwide. In-depth studies of maritime transportation systems (MTS) can be used to identify key environmental impact indicators within the transportation system. This paper develops a tool for decision making in complex environments; this tool will quantify and rank preferred environmental impact indicators within a MTS. Such a model will help decision-makers to achieve the goals of improved environmental sustainability. The model will also provide environmental policy-makers in the shipping industry with an analytical tool that can evaluate tradeoffs within the system and identify possible alternatives to mitigate detrimental effects on the environment.

关键词： Environmental sustainability maritime transportation system environmental impact indicators fuzzy analytic hierarchy process fuzzy TOPSIS decision-making tool

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A review of soil nematodes as biological indicators for the assessment of soil health

Qiaofang LU, Tongtong LIU, Nanqi WANG, Zhechao DOU, Kunguang WANG, Yuanmei ZUO

《农业科学与工程前沿（英文）》 2020年第7卷第3期页码 275-281 doi: 10.15302/J-FASE-2020327

摘要：

Healthy soils are essential for sustainable agricultural development and soil health requires careful assessment with increasing societal concern over environmentally friendly agricultural development. Soil health is the capacity of soil to function within ecological boundaries to sustain productivity, maintain environmental quality, and promote plant and animal health. Physical, chemical and biological indicators are used to evaluate soil health; the biological indicators include microbes, protozoa and metazoa. Nematodes are the most abundant metazoa and they vary in their sensitivity to pollutants and environmental disturbance. Soil nematode communities are useful biological indicators of soil health, with community characteristics such as abundance, diversity, community structure and metabolic footprint all closely correlated with the soil environment. The community size, complexity and structure reflect the condition of the soil. Both free-living and plant-parasitic nematodes are effective ecological indicators, contributing to nutrient cycling and having important roles as primary, secondary and tertiary consumers in food webs. Tillage inversion, cropping patterns and nutrient management may have strong effects on soil nematodes, with changes in soil nematode communities reflecting soil disturbance. Some free-living nematodes serve as biological models to test soil condition in the laboratory and because of these advantages soil nematodes are increasingly being used as biological indicators of soil health.

关键词： biological indicators community characteristics soil health soil nematodes

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Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU

《医学前沿（英文）》 2023年第17卷第4期页码 675-684 doi: 10.1007/s11684-022-0970-x

摘要： This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015−2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ≥15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%×nosocomial infection management + 17.97%×compliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.

关键词： critical care medicine quality control evaluation exploratory factor analysis (EFA) model

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Potential indicators predict progress after surgical resection of gastrointestinal stromal tumors

null

《医学前沿（英文）》 2012年第6卷第3期页码 317-321 doi: 10.1007/s11684-012-0203-9

摘要：

In order to find out the potential indicators predicting prognosis of malignant gastrointestinal stromal tumors (GISTs) after surgical resection, we collected clinical records of 80 patients with malignant GISTs. Tumor location, size, mitotic index, necrosis were compared with the prognosis of malignant GISTs by Kaplan-Meier method and log-rank test. After a median follow-up of 844 days (52–2 145), we found that as National Institutes of Health suggested, tumors with intermediate risk had more favorable prognosis than that with high risk. Their 3-year survival rate were 65.3% and 41.3%, respectively (P<0.001). Moreover, tumor size and mitotic index were associated with free survival. The 3-year survival rate for patients with tumor size≤10 cm and>10 cm were 62.3% and 41.8%, respectively (P = 0.002), Tumors with mitotic index≤5/50 HPF had a higher 3-year survival rate than tumors with mitotic index>5/50 HPF (67.1% versus 40.7%, P = 0.005). The presence of necrosis was directly related to the malignant behavior. The 3-year survival rate for presence and absence necrosis were 50.8% and 64.8% (P = 0.008). From the present study, we can conclude that besides tumors size and mitotic index, tumor location and necrosis also influence on the long-term survival of patient with malignant GISTs after surgical resection.

关键词： gastrointestinal stromal tumors surgery survival

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Photochemical indicators of ozone sensitivity: application in the Pearl River Delta, China

Lyumeng Ye,Xuemei Wang,Shaofeng Fan,Weihua Chen,Ming Chang,Shengzhen Zhou,Zhiyong Wu,Qi Fan

《环境科学与工程前沿（英文）》 2016年第10卷第6期 doi: 10.1007/s11783-016-0887-1

摘要： The distribution of NO - and VOC-sensitive regimes in the PRD are identified. The effectiveness of six popular chemical indicators for discriminating O sensitivity regimes is evaluated. Threshold levels for HCHO/NO , H O /HNO , O /NO , O /NO , O /HNO were derived and verified. The indicators H O /HNO and H O /NO performed best and maintained relatively stable threshold levels. Surface O production has a highly nonlinear relationship with its precursors. The spatial and temporal heterogeneity of O -NO -VOC-sensitivity regimes complicates the control- decision making. In this paper, the indicator method was used to establish the relationship between O sensitivity and assessment indicators. Six popular ratios indicating ozone-precursor sensitivity, HCHO/NO , H O /HNO , O /NO , O /NO , O /HNO , and H O /NO , were evaluated based on the distribution of NO - and VOC-sensitive regimes. WRF-Chem was used to study a serious ozone episode in fall over the Pearl River Delta (PRD). It was found that the south-west of the PRD is characterized by a VOC-sensitive regime, while its north-east is NO -sensitive, with a sharp transition area between the two regimes. All indicators produced good representations of the elevated ozone hours in the episode on 6 November 2009, with H O /HNO being the best indicator. The threshold sensitivity levels for HCHO/NO , H O /HNO , O /NO , O /NO , O /HNO , and H O /NO were estimated to be 0.41, 0.55, 10.2, 14.0, 19.1, and 0.38, respectively. Threshold intervals for the indicators H O /HNO , O /NO , O /NO , O /HNO , and H O /NO were able to identify more than 95% of VOC- and NO -sensitive grids. The ozone episode on 16 November 16 2008 was used to independently verify the results, and it was found that only H O /HNO and H O /NO were able to differentiate the ozone sensitivity regime well. Hence, these two ratios are suggested as the most appropriate indicators for identifying fall ozone sensitivity in the PRD. Since the species used for indicators have seasonal variation, the utility of those indicators for other seasons should be investigated in the future work.

关键词： Ozone Pearl River Delta (PRD) Sensitivity regime Photochemical indicator Threshold levels

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太湖流域生态文明城市建设量化指标体系的初步研究

朱增银,李冰,高鸣,田爱军

《中国工程科学》 2010年第12卷第6期页码 131-136

摘要：

生态城市是现代城市达到自然、社会、经济三类子系统协调复合的唯一途径，生态文明城市是生态城市建设的高级阶段并开始成为我国城市环保工作的新潮流和新目标，建立一套成熟可行的生态文明城市量化指标体系具有重要意义。以太湖流域某城市的实践为例，在分析生态城市与生态文明内涵的基础上，结合城市复合生态系统和人类生态学理论，认为环保模范城市、生态市、生态文明市是我国生态城市建设工作的低、中、高三个层次和阶段，生态文明城市指标应具备先行成果的承续性和创新领域的先进性，以此提出太湖流域生态文明城市量化指标的设计原则、基本框架和建议指标。

关键词：生态文明指标体系量化太湖流域

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系统探索用于信息物理系统故障诊断的基于信号的指标 None

Santiago RUIZ-ARENAS, Zoltán RUSÁK, Imre HORVÁTH, Ricardo MEJÍ-GUTIERREZ

《信息与电子工程前沿（英文）》 2019年第20卷第2期页码 152-175 doi: 10.1631/FITEE.1700277

摘要：某些关键任务系统（MCS）的故障可能导致生命损失、环境破坏和（或）成本升高。因此，识别新故障和定期维护是保证MCS可靠运行的关键。依据实际生产过程中的指标来判断，是一种实用的故障识别和预测方法。基于监测系统特定运行模式下通用信号特征的统计变化，旨在开发一种主动故障诊断和预测方法。本文提出一种基于系统信号表现的故障识别新方法，利用了系统运行模式的动态管理，以及多源异构信号源的同步处理与表征。通过研究不同操作模式下的系统性能，提高故障诊断和预测的可靠性。通过正常与故障运行之间的信号特征统计偏差组成的故障指标矩阵，推断故障及其生成机理；提出“故障指标”概念，用作信息物理系统中即插即用的故障诊断与预测。实验结果表明该方法可以自动诊断MCS中的故障，为预防性维护决策支持系统的开发提供了支撑。

关键词：故障指标；故障分类；故障检测和诊断；复杂系统

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COMPARING PERFORMANCE OF CROP SPECIES MIXTURES AND PURE STANDS

《农业科学与工程前沿（英文）》 2021年第8卷第3期页码 481-489 doi: 10.15302/J-FASE-2021413

摘要：

Intercropping is the planned cultivation of species mixtures on agricultural land. Intercropping has many attributes that make it attractive for developing a more sustainable agriculture, such as high yield, high resource use efficiency, lower input requirements, natural suppression of pests, pathogens and weeds, and building a soil with more organic carbon and nitrogen. Information is needed which species combinations perform best under different circumstances and which management is suitable to bring out the best from intercropping in a given production situation. The literature is replete with case studies on intercropping from across the globe, but evidence synthesis is needed to make this information accessible. Meta-analysis requires a careful choice of metric that is appropriate for answering the question at hand, and which lends itself for a robust meta-analysis. This paper reviews some metrics that may be used in the quantitative synthesis of literature data on intercropping.

关键词： intercropping species mixtures meta-analysis metrics indicators

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EMERGY analysis for sustainability evaluation of the Baiyangdian wetland ecosystem in China

Weiqing MENG, Cui HAO, Hongyuan LI, Meiting JU,

《环境科学与工程前沿（英文）》 2010年第4卷第2期页码 203-212 doi: 10.1007/s11783-010-0015-6

摘要： This study presents a quantitative and ecological benefit evaluation of the Baiyangdian wetland in China between the years 2000 and 2006. Methods of EMERGY analysis were applied to illustrate the wetland ecosystem, to evaluate the economic and environmental inputs and consequent yields, and to assess the sustainability of the Baiyangdian wetland. The indicators for the integrated ecological and economic system, such as EMERGY yield ratio (EYR) (7.51), EMERGY investment ratio (EIR) (4.52), environmental loading ratio (ELR) (2.92), EMERGY exchange ratio (0.41), and EMERGY sustainable indicator (ESI) (2.57) were calculated, compared, analyzed, and discussed. The non-renewable investment in Baiyangdian was greater than renewable investment, leading to the unsustainable development of the system. High EYR indicated that the Baiyangdian integrated system had created huge profits for its people, while ELR and ESI revealed that human behavior has been a heavy burden on the environment, and countermeasures should be taken by the Chinese government to relieve and resolve these problems. Potential management methods were also proposed in this paper.

关键词： EMERGY analysis sustainability wetland ecosystem indicators

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Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

《工程管理前沿（英文）》 2019年第6卷第2期页码 262-274 doi: 10.1007/s42524-019-0015-6

摘要： The construction industry produces a large amount of data on a daily basis. However, existing data sets have not been fully exploited in analyzing the safety factors of construction projects. Thus, this work describes how temporal analysis techniques can be applied to improve the safety management of construction data. Various time series (TS) methods were adopted for identifying the leading indicators or predictors of construction accidents. The data set used herein was obtained from a large construction company that is based in Singapore and contains safety inspection scores, accident cases, and project-related data collected from 2008 to 2015. Five projects with complete and sufficient data for temporal analysis were selected from the data set. The filtered data set contained 23 potential leading indicators (predictors or input variables) of accidents (output or dependent variable). TS analyses were used to identify suitable accident predictors for each of the five projects. Subsequently, the selected input variables were used to develop three different TS models for predicting accident occurrences, and the vector error correction model was found to be the best model. It had the lowest root mean squared error value for three of the five projects analyzed. This study provides insights into how construction companies can utilize TS data analysis to identify projects with high risk of accidents.

关键词： time series temporal construction safety leading indicators accident prevention forecasting

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Modeling, evaluation, and optimization of gas-power and energy supply scenarios

Hossam A. GABBAR,Aboelsood ZIDAN

《能源前沿（英文）》 2016年第10卷第4期页码 393-408 doi: 10.1007/s11708-016-0422-x

摘要： Recently, renewable energy sources such as wind power and photovoltaic (PV) are receiving a wide acceptance because they are inexhaustible and nonpolluting. Renewable energy sources are intermittent ones because of climate changes in wind speed and solar irradiance. Due to the continuous demand growth and the necessity for efficient and reliable electricity supply, there is a real need to increase the penetration of gas technologies in power grids. The Canadian government and stakeholders are looking for ways to increase the reliability and sustainability of power grid, and gas-power technologies may provide a solution. This paper explores the integration of gas and renewable generation technologies to provide a qualified, reliable, and environmentally friendly power system while satisfying regional electricity demands and reducing generation cost. Scenarios are evaluated using four key performance indicators (KPIs), economic, power quality, reliability, and environmental friendliness. Various scenarios outcomes are compared based on the defined performance indices. The proposed scenario analysis tool has three components, the geographic information system (GIS) for recording transmission and distribution lines and generation sites, the energy semantic network (ESN) knowledgebase to store information, and an algorithm created in Matlab/Simulink for evaluating scenarios. To interact with the scenario analysis tool, a graphical user interface (GUI) is used where users can define the desired geographic area, desired generation percentage via gas technology, and system parameters. To evaluate the effectiveness of the proposed method, the regional zone of the province of Ontario and Toronto are used as case studies.

关键词： gas-power renewable key performance indicators (KPIs) reliability

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Towards the sustainable intensification of agriculture—a systems approach to policy formulation

Leslie G. FIRBANK

《农业科学与工程前沿（英文）》 2020年第7卷第1期页码 81-89 doi: 10.15302/J-FASE-2019291

摘要：

The sustainable intensification of agriculture involves providing sufficient food and other ecosystem services without going beyond the limits of the earth’s system. Here a project management approach is suggested to help guide agricultural policy to deliver these objectives. The first step is to agree measurable outcomes, integrating formal policy goals with the often much less formal and much more diverse goals of individual farmers. The second step is to assess current performance. Ideally, this will involve the use of farm-scale metrics that can feed into process models that address social and environmental domains as well as production issues that can be benchmarked and upscaled to landscape and country. Some policy goals can be delivered by supporting ad hoc interventions, while others require the redesign of the farming system. A pipeline of research, knowledge and capacity building is needed to ensure the continuous increase in farm performance. System models can help prioritise policy interventions. Formal optimization of land use is only appropriate if the policy goals are clear, and the constraints understood. In practice, the best approach may depend on the scale of action that is required, and on the amount of resource and infrastructure available to generate, implement and manage policy.

关键词： agricultural policy ecosystem services indicators of sustainable intensification knowledge exchange land use optimization