Suitability of short or long conservation contracts under ecological and socio-economic uncertainty

Acquisition of land rights has become a primary tool used to protect terrestrial biodiversity. Fixed length contracts are often used when trying to secure conservation benefits on private land in agri-environment schemes and payment for environmental services schemes, but the duration of the conservation contracts used in different programmes varies. To date, very little research has been undertaken to determine the situations in which contracts of differing lengths are optimal or when conservation agencies or groups should use a portfolio of different contract lengths rather than relying on a single type. Using stochastic dynamic programming and related heuristic methods, we investigate how the choice between short or long conservation contracts is affected by uncertainty regarding the future availability of sites and their ecological condition. We also examine the benefits offered by using a portfolio of different contract lengths. Conservation agencies must pay private landowners a premium to secure longer agreements and because of this, shorter contracts are advantageous if sites are likely to remain available for conservation in the future. Long contracts are preferred when future site availability becomes more unlikely. In contrast to uncertainty over site availability, uncertainty over future ecological conditions has little effect on contract selection and only markedly influences the choice between short and long contracts when there is heterogeneity across sites in expected conservation outcomes and future availability of sites is also uncertain. Finally, when future site availability is unlikely, the use of a portfolio of short and long contracts would offer greater conservation gains than using either type in isolation, even though this option is not yet one that is commonly found in conservation practice.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

开挖岩体边坡卸荷带宽度的计算方法

卸荷带的判别与计算,直接关系到岩体边坡的长期稳定性及致灾安全性.针对均质岩体边坡,采用弹性理论楔形体力学模型,提出了开挖岩体边坡力学模型,建立了开挖岩体边坡应力的计算方法;从开挖高度、开挖坡度、台阶宽度、岩体粘聚力、内摩擦角及岩体容重等方面,通过敏感性分析,探讨了开挖岩体边坡卸荷带宽度的变化规律,据此采用量纲分析法,建...     

加强土壤污染防治资金和工程项目管理的建议

文章首先分析了中央财政土壤污染防治专项资金的性质,结合资金管理办法进一步阐明了资金使用范围、资金分配方式、绩效导向和信息公开要求。分析了部分省份开展的土壤污染防治工程项目、资金管理制度建设的现状和获得2016年第一批土壤污染防治专项资金支持项目的情况,对比指出了在支持重点、支持方式上的不同特点。基于主要问题,从加强土壤污染防治项目储备库建设、开展项目与资金规范管理的制度建设、明确不同对象的组织管理职责、重视咨询服务队伍和专家队伍建设等四个方面,阐述了加强土壤污染防治项目组织和资金管理的建议,为相关环境管理部门提供决策参考。     

机载武器及其双配套设备可靠性鉴定试验方案的分析

通过分析机载武器的使用特点和情况,并结合实验室开展机载武器可靠性鉴定试验的已有经验,对该类装备的可靠性鉴定试验的方案进行了分析和讨论,对试验样件在充足或不足的条件下进行试验的各种试验方案进行了深入分析。指出了各种方案的优缺点,对比了各种试验方案的特点。最后给出了机载武器可靠性鉴定统计试验方案的选取原则。     

ABC算法优化SVR的磨损故障预测模型

目的为了提高故障预测的精度,针对支持向量回归SVR(Support vector machine for regression,SVR)参数选择困难的问题,提出一种采用人工蜂群(artificial bee colony,ABC)算法优化支持向量回归(SVR)的故障预测模型(ABC-SVR)。方法该模型先对样本数据进行重构,然后将故障预测误差(适应度)作为优化目标,通过ABC算法寻优找到最优的SVR参数,建立故障预测模型。最后通过实例仿真验证模型的优越性。结果采用ABC算法优化的SVR故障预测模型进行时间序列预测,能够较好地跟踪发动机滑油金属元素浓度的变化过程,并且能够提前2个取样时间预测异常情况的出现。结论 ABC-SVR模型有效解决了SVR参数选择难题,能够更加准确地表现故障变化规律,提高了故障预测精度。     

水专项"十三五"时期辽河流域水环境管理研究思路初探

以水专项在辽河流域实施的阶段性成果及辽河流域水环境管理现状为基础,分析"十三五"时期辽河流域水环境管理的需求,提出构建成套流域水环境管理技术体系和管理大平台、全面建设并优化水生态环境监测网络、实行水环境管理的动态调节机制和建立健全流域水环境管理长效机制的水环境管理研究思路,并指出研究应密切结合地方管理,充分发挥地方环境管理的责任主体地位,为水专项第三阶段"综合调控"战略目标的实现提供有力支撑.     

农户对高产农业技术扩散的生态环境影响感知实证

农民生态环境感知对促进农民自觉环境保护行为和农村两型社会建设具有重要作用。通过对湖南省洞庭湖湿地水稻主产区6个乡镇的调查,将农户生态影响感知具体化为土壤、水源、身体健康和水稻4个方面的感知,借助定量分析建立了农户综合环境感知指数,研究农民对以化学农业为代表的高产农业技术扩散的生态环境影响感知,并运用Tobit模型探讨了影响农户生态影响感知的主要因素。结果表明:农民已经意识到以石化农业为代表的高产农业技术扩散带来的不利影响,尽管他们的意识还只限于一些看得见的因素如土壤肥力、捕鱼量和健康问题,对于看不见的影响的感知还很薄弱。以化学农业为代表的高产农业技术采用的水平和持续时间直接决定了人们对于不利影响的感知。提高收入水平与教育水平、强化农业技术推广能提升农民生态环境感知,而农田水利基础设施建设和土壤肥力对农户环境感知有复杂的影响关系。     

Increasing the impact of collective incentives in payments for ecosystem services

Collective payments for ecosystem services (PES) programs make payments to groups, conditional on specified aggregate land-management outcomes. Such collective contracting may be well suited to settings with communal land tenure or decision-making. Given that collective contracting does not require costly individual-level information on outcomes, it may also facilitate conditioning on additionality (i.e., conditioning payments upon clearly improved outcomes relative to baseline). Yet collective contracting often suffers from free-riding, which undermines group outcomes and may be exacerbated or ameliorated by PES designs. We study impacts of conditioning on additionality within a number of collective PES designs. We use a framed field-laboratory experiment with participants from a new PES program in Mexico. Because social interactions are critical within collective processes, we assess the impacts from conditioning on additionality given: (1) group participation in contract design, and (2) a group coordination mechanism. Conditioning on above-baseline outcomes raised contributions, particularly among initially lower contributors. Group participation in contract design increased impact, as did the coordination mechanism.     

宝钢焦化废水处理脱氮研究与实践

针对上海提高新排放标准中总氮(TN)≤35 mg/L的要求,对焦化废水进行了脱氮研究。选取现场缺氧-好氧-好氧(A-O-O)工艺中前两段的A-O生化沉淀池1出水,在SBR内进行反硝化脱氮实验,考察葡萄糖、葡萄糖+乙酸钠、甲醇和甲醇+乙酸钠单一或复合碳源及投加反硝化菌种对脱氮的影响,确定最佳碳源为甲醇+乙酸钠,最佳反硝化水力停留时间为16 h。当反硝化菌液投加浓度为1 mg/L时,SBR出水TN满足达标排放要求。结合实验结果对宝钢焦化废水原有AO-O工艺改造升级为A-O-A-O二段脱氮工艺,并对生化出水实施进一步的物化混凝处理。改造后,工艺长期运行稳定,最终出水完全达到上海市污水综合排放标准(DB 31/199-2009)TN≤35 mg/L的要求,并满足氰化物、氟化物以及COD的排放要求。