长江口夜光藻(Noctiluca scintillans)年间变化和水域富营养化趋势

根据1959年和2002年在长江口海域28°00'—32°00'N,122°00'—123°30'E海域4个季节8个航次海洋调查资料,分析长江口夜光藻丰度的平面分布和季节变化特征。并结合同步的温度资料进行曲线拟合,构造数学模型,计算最适温度。结合夜光藻分布特征、生态类群,比较不同年间夜光藻丰度变化趋势,分析长江口富营养化趋势对夜光藻丰度的影响。结果表明,夜光藻出现率和平均丰度均表现为春季丰度极高而其它季节较低。例如春季长江口夜光藻的最高丰度可以达到48576.00ind/m3,出现率为96.30%。该种在春季有明显的集群性,其它季节聚集强度指标值较低。盐度是影响夜光藻的平面分布的主要因素。长江口夜光藻适温范围较窄。仅仅在15—20℃之间有较高的数量。通过曲线拟合计算,其丰度和温度的函数关系符合YieldDensity模型。进一步通过极值计算得出,夜光藻最适温度为17.53℃。在长江口,夜光藻往往生活在在长江径流和外海水形成的河口锋水域。因而是暖温性近海种。近年来在春季,长江口夜光藻数量明显增多,夜光藻数量的年间变化特征可能与长江口富营养化相关。夜光藻赤潮的爆发就是长江口海域富营养化的结果之一。     

Design and implementation of time efficient trajectories for autonomous underwater vehicles

This paper discusses control strategies adapted for practical implementation and efficient motion of autonomous underwater vehicles (AUVs). For AUVs we would like efficiency in both the measured time and the energy consumption, the mission dictating the weight to put on each of these cost. As a first approach to this problem, we focus in this paper on time minimization. Based on the structure of the time optimal trajectories and of the pure motions, we develop an algorithm to design time efficient trajectories corresponding to piecewise constant thrust arcs with few actuator switchings. We do that by solving a new optimization problem where the unknowns are the time period between two actuator switchings as well as the values of the constant thrust arcs. We apply a direct method to compute the solutions numerically. With our algorithm, we gain considerable computational time. Moreover, with as few as three actuator switchings, the duration of our trajectories is within 10% of the optimal trajectories. Since our control strategies have a simple structure they can be implemented on a test-bed vehicle. For the experiments displayed in this paper we use a spherical underwater vehicle which exhibits with almost no preference of direction or orientation for movement; this gives us a very controllable and versatile vehicle.     

Harmonic maps

Harmonic maps are generated as a certain class of optimal map projections. For instance, if the distortion energy over a meridian strip of the International Reference Ellipsoid is minimized, we are led to the Laplace–Beltrami vector-valued partial differential equation. Harmonic functions x(L,B), y(L,B) given as functions of ellipsoidal surface parameters of Gauss ellipsoidal longitude L and Gauss ellipsoidal latitude B, as well as x(,q), y(,q) given as functions of relative isometric longitude =L–L₀ and relative isometric latitude q=Q–Q₀ gauged to a vector-valued boundary condition of special symmetry are constructed. The easting and northing {x(b,),y(b,)} of the new harmonic map is then given. Distortion energy analysis of the new harmonic map is presented, as well as case studies for (1) B[–40°,+40°], L[–31°,+49°], B₀= ±30°, L₀=9° and (2) B[46°,56°], L{[4.5°, 7.5°]; [7.5°, 10.5°]; [10.5°,13.5°]; [13.5°,16.5°]}, B₀= 51°, L₀ {6°,9°,12°,15°}.     

福建泉州山美水库翘嘴红鲌(Erythroculter ilishaeformis)生长特性、资源评估与合理利用

随机从福建泉州山美水库2002年4月—2003年5月的翘嘴红鲌(Erythroculter ilishaeformis)渔获物中获取340尾样本,以鳞片为年龄鉴定材料,获得年龄生长资料,建立生长方程和Beverton-Holt模型对山美水库翘嘴红鲌资源进行评估,为制定合理的捕捞年龄和捕捞规格提供科学依据。结果表明,山美水库翘嘴红鲌体重范围是0.035—4.12kg,体长范围是15.6—73.5cm,其中体长20.1—60.0cm的样本占93.57%,且为2+—3+龄。本文给出了该鱼类体长与体重的关系式、体长与鳞径的关系式以及相关的von Bertalanffy方程。山美水库翘嘴红鲌生长拐点为10.4龄,山美水库现有资源量为10.164t,合理开捕年龄为6龄。     

基于CGE模型的电力低碳转型速度调控策略研究——以粤港澳大湾区为例

为探讨粤港澳大湾区实现碳中和及电力低碳转型过程的供应安全,构建粤港澳大湾区动态CGE模型,设计51种情景模拟各类型发电量的年均变化幅度,以全社会福利最大化为评价指标,研究煤电退役到保底容量、煤电完全退役和气电达峰容量的最优时间节点和发展速度。结果表明：2020年煤电发电量以年均降低66亿kW∙h幅度退役到2032年保底容量,再以年均降低40亿kW∙h幅度在2045年实现完全退役;气电发电量从2020年起以年均增长61亿kW∙h的幅度在2038年达到峰值,然后以年均51亿kW∙h幅度退役到2050年保底容量1323亿kW∙h;进一步依据2020—2050年本地总发电量增速不变得到非化石电力增长速度,此种煤电、气电和非化石电力发展速度组合的经济性最优。相比基准情景,优选出的电力转型组合情景可累积促进化石能源消费量降低1.1亿tce,碳排放降低2.8亿t CO₂,电力部门增加值增长238亿元,其他部门增加值增长172亿元。     

The optimal Mercator projection and the optimal polycylindric projection of conformal type – case-study Indonesia

As a conformal mapping of the sphere S ² _R or of the ellipsoid of revolution E ² _A , _B the Mercator projection maps the equator equidistantly while the transverse Mercator projection maps the transverse metaequator, the meridian of reference, with equidistance. Accordingly, the Mercator projection is very well suited to geographic regions which extend east-west along the equator; in contrast, the transverse Mercator projection is appropriate for those regions which have a south-north extension. Like the optimal transverse Mercator projection known as the Universal Transverse Mercator Projection (UTM), which maps the meridian of reference Λ₀ with an optimal dilatation factor &ρcirc;=0.999 578 with respect to the World Geodetic Reference System WGS 84 and a strip [Λ₀−Λ _W ,Λ₀ + Λ _E ]×[Φ _S ,Φ _N ]= [−3.5^∘,+3.5^∘]×[−80^∘,+84^∘], we construct an optimal dilatation factor ρ for the optimal Mercator projection, summarized as the Universal Mercator Projection (UM), and an optimal dilatation factor ρ₀ for the optimal polycylindric projection for various strip widths which maps parallel circles Φ₀ equidistantly except for a dilatation factor ρ₀, summarized as the Universal Polycylindric Projection (UPC). It turns out that the optimal dilatation factors are independent of the longitudinal extension of the strip and depend only on the latitude Φ₀ of the parallel circle of reference and the southern and northern extension, namely the latitudes Φ _S and Φ _N , of the strip. For instance, for a strip [Φ _S ,Φ _N ]= [−1.5^∘,+1.5^∘] along the equator Φ₀=0, the optimal Mercator projection with respect to WGS 84 is characterized by an optimal dilatation factor &ρcirc;=0.999 887 (strip width 3^∘). For other strip widths and different choices of the parallel circle of reference Φ₀, precise optimal dilatation factors are given. Finally the UPC for the geographic region of Indonesia is presented as an example. Received: 17 December 1997 / Accepted: 15 August 1997     

A data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level

Optical Earth Observation data with moderate spatial resolutions, typically MODIS (Moderate Resolution Imaging Spectroradiometer), are of particular value to environmental applications due to their high temporal and spectral resolutions. Time-series of MODIS data capture dynamic phenomena of vegetation and its environment, and are considered as one of the most effective data sources for land cover mapping at a regional and national level. However, the time-series, multiple bands and their derivations such as NDVI constitute a large volume of data that poses a significant challenge for automated mapping of land cover while optimally utilizing the information it contains. In this study, time-series of 10-day cloud-free MODIS composites and its derivatives – NDVI and vegetation phenology information, are fully assessed to determine the optimal data sets for deriving land cover. Three groups of variable combinations of MODIS spectral information and its derived metrics are thoroughly explored to identify the optimal combinations for land cover identification using a data mining tool.The results, based on the assessment using time-series of MODIS data, show that in general using a longer time period of the time-series data and more spectral bands could lead to more accurate land cover identification than that of a shorter period of the time-series and fewer bands. However, we reveal that, with some optimal variable combinations of few bands and a shorter period of time-series data, the highest possible accuracy of land cover classification can be achieved.     

An optimization approach for sustainable development planning of savanna systems

A savanna system is a natural ecosystem in which the competition between grass and woody vegetation in a semi-arid rangeland should be maintained for its sustainable development. Finding an optimal management plan for obtaining maximum economic profit from raising cattle without loss of sustainability of the savanna system during a planning period is a great challenge for rangeland managers. In this study, we formulate the sustainable development planning of the savanna system as an optimal control model, in which maximization of the stocking rate of cattle during the planning period is chosen as the objective while sustainable development requirements are achieved through the constraints represented by the desired final state of the system. Using Pontryagin's maximum principle, the model is transformed into a two-point boundary-value problem with nonlinear differential equations that is then solved using an iterative approach. An example with a specified desired final state in a savanna system without fire is used to demonstrate the performance of the model and the algorithm. Numerical experiments show that the planning strategy obtained from the optimal control model achieves maximum economic profit from raising cattle during the planning period and simultaneously improves the resilience of the system and maintains sustainable development of the rangeland. The outcomes demonstrate that resilience, sustainable development and economic profit are consistent concepts in optimal management strategy for rangeland management.     

Utilizing discriminant function analysis with a geographical information system to model ecological succession spatially

Abstract

A raster/quadtree geographical information system (GIS) was established For a 932 ha natural area in central Missouri. The GIS contained map layers depicting vegetative cover from 1939 to 1982, soils, topographic aspect and distance from a forest seed source. Discriminant function analysis was used to quantify and describe ecological succession on the area during this period. The calibration of discriminant functions is discussed, as are the statistical and spatial validations of the model. It was concluded that this approach provides a useful technique to examine long-term temporal phenomena in a spatial context.