我国生态环境监测网络建设成效与展望

2015年中央全面深化改革领导小组审议通过《生态环境监测网络建设方案》,推动全国生态环境监测网络建设取得重大成就。对照《生态环境监测网络建设方案》提出的"全面设点,完善生态环境监测网络"方面的任务与要求,对生态环境监测网络建设成效进行客观评估,并对生态环境监测面临的形势与不足进行了深入剖析。针对加强生态环境监测网络建设、探索生态环境监测多手段融合应用模式、强化生态环境监测数据智慧应用等方面提出了当前及今后中长期生态环境监测发展的相关建议。     

千岛湖旅游生态环境现状及保护措施

调查了千岛湖景区的旅游生态环境现状,分析了旅游开发对生态环境的影响,提出了旅游生态环境的保护措施。     

南京区域经济联合发展对生态环境的影响

文章研究了区域经济联合发展对区域生态环境的两个主要方面:资源及其生态环境和城市生态环境所产生的影响,并对改善区域生态环境提出相应的对策.     

嘉峪关市农村生态环境建设的措施与前景

论述了嘉峪关市生态环境的演化趋势，分析了嘉峪关市农村的生态环境现状和主要的生态环境问题，提出了嘉峪关市农村实施生态环境建设的思路及措施，并对嘉峪关市实施生态环境建设的前景进行了分析．     

中国生态环境质量优劣度评价

文章提出了生态环境质量评价的指标体系,给出了生态环境质量优劣度评价的分级标准和优劣度指数计算方法,并对全国及内蒙古自治区的生态环境质量进行了优劣度评价。     

新疆克州"十五"期间生态环境质量评价研究

区域生态环境状况对区域经济发展起重要支撑作用,本文采用遥感和地理信息系统的技术手段,利用2000年与2006年ETM影像及CBERS影像,结合《生态环境状况评价技术规范》中的技术方法,对克州"十五"前后生态环境状况进行了综合评价.研究认为,克州总体生态环境状况处于一般和较差水平,"十五"期间克州生态环境状况总体上虽无明显变化,但各生态环境状况评价指数基本上均呈现下降趋势.     

土壤生态环境健康监测与评价技术现状与展望

综述了国内对土壤生态环境健康的研究进展,总结了传统土壤环境监测技术的不足,介绍了土壤生态环境健康监测技术,包括植物、动物、微生物等生态监测方法,旨在通过对各项技术的比较,了解各项监测技术对土壤健康监测和评价现状。对土壤生态环境健康监测与评价技术的发展趋势进行展望,提出未来需要对土壤生态健康监测技术进行标准化和定量化;开展多生物指标联合监测;结合遥感和物联网技术扩大土壤时空监测尺度,形成完整的土壤生态环境健康监测与评价体系,为环境管理部门有效监测土壤生态环境提供依据。     

荒漠生态环境监测刍议

讨论了荒漠生态环境监测的基本概念和原则 ,并针对新疆荒漠生态环境监测工作的现状 ,提出了今后工作的总体设想和若干展望 ,对我国荒漠生态环境监测工作的开展具有一定的启示作用。     

县域生态环境质量考评方法研究

通过对县域生态环境质量的考评方法研究，认为县域生态环境质量评价及其指标体系由重庆环境质量背景、人类对生态环境的影响程度及人类对生态环境的适宜度需求３部分组成。提出了县域生态环境质量考评的指标体系和评价方法。介绍了县域生态环境质量考评指标体系的基本原则，体系组成及部分指标说明和县域生态环境质量的评价方法。     

永登县生态环境问题及其对策

文中就水登县生态环境存在主要问题，生态环境退化造成的后果与危害进行了阐述，并对改善生态环境提出了对策和措施。     

山东省省级自然保护区人类活动遥感监测与评价

基于2018年高分系列遥感影像数据,提取山东省省级自然保护区人类土地利用活动信息,探讨人类活动对山东省省级自然保护区的影响。结果表明,自然保护区人类活动总面积占保护区总面积的22.2%,人类活动影响指数介于0~0.01368。不同类型的自然保护区人类活动面积不同,主要影响因子差异明显,森林生态类保护区以农业用地为主,内陆湿地类保护区以养殖场为主。内陆湿地类保护区是受到人类干扰程度最为严重的保护区类型,野生动物类保护区受到人类影响最小。     

广东省智慧生态环境监测管理体系建设思路与探索

生态环境监测管理制度改革对省级生态环境监测机构的管理能力提出更高要求,在数字化发展战略背景下,推动生态环境监测数字化建设是促进监测能力现代化的必由之路.以广东省为例,从生态环境监测管理需求出发,分析改革面临的难点和问题,提出了构建智慧生态环境监测管理体系的思路.以监测业务为主线,串联全省监测人、财、物、事的管理,利用数...     

对卧龙自然保护区作为清洁背景地区研究POPs迁移规律的合理性分析

以卧龙自然保护区土壤中POPs的含量为研究对象,利用MS-MS方法测定POPs在该地区土壤中的含量,其中PCBs含量范围为0.046~1.14ng/g,DDT含量范围为0.42~8.88ng/g,HCH含量范围为0~56.61ng/g,HCB含量范围为7.77~28.41ng/g,并与它们在世界其他地区的含量进行比较,论证了其作为清洁对照区研究POPs迁移规律的合理性。     

内蒙古自治区“十三五”期间生态环境质量

为了解内蒙古自治区"十三五"期间的生态环境质量状况,以自治区生态环境监测网数据为依据,较全面地研究了"十三五"期间内蒙古生态环境质量变化特征及社会经济与环境质量的关联性,总结归纳了尚存的环境问题。结果表明:"十三五"期间,内蒙古生态环境质量全面好转,环境空气质量明显改善,地表水水质由中度污染转为轻度污染,沙尘天气减少,声环境质量总体改善,主要污染物排放量下降,未出现酸雨现象。但与此同时,仍存在不少环境问题,后续改善难度加大,区域大气污染治理成效还需进一步稳固,部分地表水存在污染较重的状况,生态环境仍较敏感。经济发展与环境质量相关指标基本呈负相关关系。总体来看,内蒙古自治区"十三五"期间生态环境质量全面改善,但当前生态环境质量与2035年远景目标还有较大差距。     

生态环境监测与生态经济学评价

探讨了荒漠生态环境监测与生态经济学之间的关系,提出荒漠生态环境监测应与生态经济学原则相结合,注意监测人类社会经济活动对生态环境的影响,并根据生态经济学中环境因素的稀缺性、综合性和反馈性等原理对人类开发利用自然资源进行正确评价。     

Creating a Science of Nature Reserve Design: Perspectives from History

The science of nature reserve design has benefited from crossover between ecology and operations research since the 1980s. Applications of ecological theory had generated debate about reserve design in the 1970s and 1980s, when problems of reserve design were reformulated to draw on the methods of operations research and decision science. Advances in simulation modeling, especially models of forest growth, provided new tools for understanding ecological dynamics. A synthesis of these approaches provides ways to advance the science and facilitate its application to practical problems.     

试论荒漠生态监测的特点和监测指标的确定

从监测目的、监测对象、监测指标和监测数据的获取四个方面,论述了进行荒漠生态环境监测工作的特点.从干旱荒漠区自然环境的基本特征和主要生态环境问题及生态环境管理工作的需要出发,提出了在我国开展荒漠生态环境监测工作的监测指标,以供商榷.     

A method to the impact assessment of the returning grazing land to grassland project on regional eco-environmental vulnerability

The Chinese government has conducted the Returning Grazing Land to Grassland Project (RGLGP) across large portions of grasslands from western China since 2003. In order to explore and understand the impact in the grassland's eco-environment during the RGLGP, we utilized Projection Pursuit Model (PPM) and Geographic Information System (GIS) to develop a spatial assessment model to examine the ecological vulnerability of the grassland. Our results include five indications: (1) it is practical to apply the spatial PPM on ecological vulnerability assessment for the grassland. This methodology avoids creating an artificial hypothesis, thereby providing objective results that successfully execute a multi-index assessment process and analysis under non-linear systems in eco-environments; (2) the spatial PPM is not only capable of evaluating regional eco-environmental vulnerability in a quantitative way, but also can quantitatively demonstrate the degree of effect in each evaluation index for regional eco-environmental vulnerability; (3) the eco-environment of the Xianshui River Basin falls into the medium range level. The normalized difference vegetation index (NDVI) and land use cover and change (LUCC) crucially influence the Xianshui River Basin's eco-environmental vulnerability. Generally, in the Xianshui River Basin, regional eco-environmental conditions improved during 2000 and 2010. The RGLGP positively affected NDVI and LUCC structure, thereby promoting the enhancement of the regional eco-environment; (4) the Xianshui River Basin divides its ecological vulnerability across different levels; therefore our study investigates three ecological regions and proposes specific suggestions for each in order to assist in eco-environmental protection and rehabilitation; and lastly that (5) the spatial PPM established by this study has the potential to be applied on all types of grassland eco-environmental vulnerability assessments under the RGLGP and under the similar conditions in the Returning Agriculture Land to Forest Project (RALFP). However, when establishing an eco-environmental vulnerability assessment model, it is necessary to choose suitable evaluation indexes in accordance with regional eco-environmental characteristics.     

Mathematical Methods for Spatially Cohesive Reserve Design

The problem of designing spatially cohesive nature reserve systems that meet biodiversity objectives is formulated as a nonlinear integer programming problem. The multiobjective function minimises a combination of boundary length, area and failed representation of the biological attributes we are trying to conserve. The task is to reserve a subset of sites that best meet this objective. We use data on the distribution of habitats in the Northern Territory, Australia, to show how simulated annealing and a greedy heuristic algorithm can be used to generate good solutions to such large reserve design problems, and to compare the effectiveness of these methods.     

Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Eco-environment quality evaluation is an important research theme in environment management. In the present study, Fuzhou city in China was selected as a study area and a limited number of 222 sampling field sites were first investigated in situ with the help of a GPS device. Every sampling site was assessed by ecological experts and given an Eco-environment Background Value (EBV) based on a scoring and ranking system. The higher the EBV, the better the ecological environmental quality. Then, three types of eco-environmental attributes that are physically-based and easily-quantifiable at a grid level were extracted: (1) remote sensing derived attributes (vegetation index, wetness index, soil brightness index, surface land temperature index), (2) meteorological attributes (annual temperature and annual precipitation), and (3) terrain attribute (elevation). A Back Propagation (BP) Artificial Neural Network (ANN) model was proposed for the EBV validation and prediction. A three-layer BP ANN model was designed to automatically learn the internal relationship using a training set of known EBV and eco-environmental attributes, followed by the application of the model for predicting EBV values across the whole study area. It was found that the performance of the BP ANN model was satisfactory and capable of an overall prediction accuracy of 82.4%, with a Kappa coefficient of 0.801 in the validation. The evaluation results showed that the eco-environmental quality of Fuzhou city is considered as satisfactory. Through analyzing the spatial correlation between the eco-environmental quality and land uses, it was found that the best eco-environmental areas were related to forest lands, whereas the urban area had the relatively worst eco-environmental quality. Human activities are still considered as a major impact on the eco-environmental quality in this area.