Using the Newtonian relaxation technique in numerical sensitivity studies

In model-based sensitivity studies, the growth of model error over long-term integrations may lead to serious deviations between the simulated and actual states. To reduce these errors, we have developed a new modeling approach with application of the Newtonian relaxation technique, or nudging. In this approach, an identical artificial Newtonian relaxation term that reflects the difference between the model reference state and its analysis (available in many sensitivity studies) is added to the prognostic equations of the two simulated states, the reference state and the perturbed state (for which observations are nonexistent). We have conducted idealized sensitivity experiments with a shallow-water model to evaluate the benefits and viability of this approach and to test its sensitivity to changes in the nudging period and error in the analysis data. The experimental results confirm that this approach lead to more credible atmospheric responses to modified external forcing if the data error is within a reasonable range. The results also indicate that a 12-hour period is more favorable for nudging than a 24-hour period.     

南襄盆地泌阳凹陷陆相页岩油地质特征与评价

南襄盆地泌阳凹陷中部深凹区发育有淡水环境及咸水环境沉积的深湖—半深湖相页岩。该套页岩岩相复杂、类型多、变化快, 可分为泥质粉砂岩、粉砂质页岩、隐晶灰质页岩、重结晶灰质页岩及白云质页岩, 总体富含有机质, 这为陆相页岩油的形成提供了充分的物质基础。研究区页岩具有纵向厚度大、横向分布广、有机质丰度高及类型好、热演化程度适中、脆性矿物含量高及含油气性好等特征, 具备良好的陆相页岩油形成条件。在明确泌阳凹陷具备良好的陆相页岩油形成条件基础上, 进一步开展了陆相页岩油地质评价方法的研究, 提出了一套包含岩石学分析、地质多参数综合评价、有利区带评价等8项关键技术的地质评价方法, 并明确了泌阳凹陷陆相页岩油富集的主控因素及有利目标区, 进而优化部署页岩油水平井, 取得了中国陆相页岩油勘探的重大突破, 展示了中国陆相页岩油良好的勘探开发前景。     

应急预案在地震应急响应中的作用——以唐山地震、汶川地震为例

为了更好地促进地震应急工作,本文以20世纪90年代初我国地震应急预案工作起步为分界,选取1976年唐山地震和2008年汶川地震为例,通过对比两次地震后在应急组织与指挥、灾情信息传送与发布、应急响应与救援3个方面的情况,解释地震应急预案在地震应对中的作用及其存在的问题,为今后我国地震应急救援工作提供有益的启示。     

A macro-evolutionary multi-objective immune algorithm with application to optimal allocation of water resources in Dongjiang River basins, South China

Macro-evolution is a new kind of high-level species evolution inspired by the dynamics of species extinction and diversification at large time scales. Immune algorithms are a set of computational systems inspired by the defense process of the biological immune system. By taking advantage of the macro-evolutionary algorithm and immune learning of artificial immune systems, this article proposes a macro-evolutionary multi-objective immune algorithm (MEMOIA) for optimizing multi-objective allocation of water resources in river basins. A benchmark test problem, namely the Viennet problem, is utilized to evaluate the performance of the proposed new algorithm. The study indicates that the proposed algorithm yields a much better spread of solutions and converges closer to the true Pareto frontier compared with The Non-dominated Sorting Genetic Algorithm and Improving the Strength Pareto Evolutionary Algorithm. MEMOIA is applied to a water allocation problem in the Dongjiang River basin in southern China, with three objectives named economic interests (OF ₁), water shortages (OF ₂) and the amount of organic pollutants in water (OF ₃). The results demonstrate the capabilities of MEMOIA as well as its suitability as a viable alternative for enhanced water allocation and management in a river basin.     

Grading Woodland Soil Water Productivity and Soil Bioavailability in the Semi‐Arid Loess Plateau of China

In the semi‐arid region of the Loess Plateau in China, a portable photosynthesis system (Li‐6400) and a portable steady porometer (Li‐1600) were used to study the quantitative relation between the soil water content (SWC) and trees' physiological parameters including net photosynthesis rate (P_n), carboxylation efficiency (CE), transpiration rate (T_r), water use efficiency of leaf (WUE_L), stomatic conductivity (G_s), stomatal resistance (R_s), intercellular CO₂ (C_i), and stomatal limitation (L_s). These are criteria for grading and evaluating soil water productivity and availability in forests of Black Locust (Robinia pseudoacacia) and Oriental Arborvitae (Platycladus orientalis). The results indicated: To the photosynthesis of Locust and Arborvitae, the SWC of less than 4.5 and 4.0% (relative water content (RWC) 21.5 and 19.0%) belong to “non‐productivity and non‐efficiency water”; the SWC of 4.5–10.0% (RWC 21.5–47.5%) and 4.0–8.5% (RWC 19.0–40.5%) belong to “low productivity and low efficiency water”; the SWC of 10.0–13.5% (RWC 47.5–64.0%) and 8.5–11.0% (RWC 40.5–52.0%) belong to “middle productivity and high efficiency water”; the SWC of 13.5–17.0% (RWC 64.0–81.0%) and 11.0–16.0% (RWC 52.0–76.0%) belong to “high productivity and middle efficiency water”; the SWC of 17.0–19.0% (RWC 81.0–90.5%) and 16.0–19.0% (RWC 76.0–90.5%) belong to “middle productivity and low efficiency water”; the SWC of more than 19.0% (RWC 90.5%) belongs to “low productivity and low efficiency water”. The SWC of about 13.5 and 11.0% (RWC 64.0 and 52.0%) are called “high productivity and high efficiency water”, which provides the further evidence for Locust and Arborvitae to get both higher productivity (P_n and CE) and the highest WUE_L and adaptation to the local environment, respectively.     

Effects of Rhizosphere Ventilation on Soil Enzyme Activities of Potted Tomato under Different Soil Water Stress

In order to improve the growing environment of root zone, and investigate the effects of different rhizosphere ventilation environments on soil enzyme activities, we supplied gas for potted tomato by air compressor, and set three irrigation levels (70–90% field capacity). Each irrigation level has different ventilation volume coefficient (0.4, 0.8, 1.2, and 1.6) with the reference standard as 50% soil porosity. The results showed that the changing trend of soil catalase, urease, and dehydrogenase activity showed the first increase and then the decrease in the tomato growth period, and activities of soil catalase, urease, and dehydrogenase under the ventilation treatment are higher than those of the non‐ventilation. When the irrigation level was 80% the field capacity and the ventilation coefficient was 0.8, the activities of three soil enzyme reached the highest value. Their activities of soil catalase, urease, and dehydrogenase were particularly sensitive to rhizosphere ventilation in fruit expanding process. Tomato had more dry matter accumulation and output under the ventilation treatment than that of the non‐ventilation. The results prove that rhizosphere ventilation can improve the potted tomato root zone environment, increase the soil enzyme activity, and promote the nutrients uptake, thus promoting plant growth and fruit output and improving soil quality.     

Modifying Transition Matrix to Evaluate Soil Quality: A Case Study in Karst Region in the West‐Southern China

The soil aggregate stability is a key property of soil quality and reflects soil quality and anti‐erosion ability. The transition matrix between initial and final aggregates condition was established by modifying Niewczas and Witkowska‐Walczak's method by not considering the artificial weights and each size of aggregates fraction on the basis of three reasonable assumptions, and soil aggregate stability index (ASI) was formed through preserving each size of aggregates probability. This ASI is identical to the result by reference, and the transition matrix can be showed to evaluate the soil aggregates stability. Using the transition matrix was furthermore to analyze anti‐breaking ability of different size aggregate by reference material. We found there were different effects for each size aggregate by four methods, simulation rainfall, one cycle of wetting–drying, ten cycles of wetting–drying, and Yoder wetting–sieving. The Yoder wetting–sieving is a severe method that destructed soil aggregates. The ASI by modifying transition matrix method was used to evaluate the aggregates stability under different land utilization in Karst region in Chongqing, China. The ASI of agricultural utilization was lower than abounded cultivated land, shrub‐grass land, secondary forest land, and primeval forest land. For some selected soil properties, when SOM content was <60 g/kg, ASI increased along with the SOM increase. Once the SOM content was >60 g/kg, the ASI was almost unchanged. The sorption moisture content of air‐drying acutely affected ASI too, and the ASI increased along the sorption moisture increasing. SOM content and sorption markedly affected the preserving probability of larger aggregates such as 10–5, 5–3, 3–2, 2–1, and 1–0.5 mm size class. Although CaCO₃ and clay content did not influence preserving probability of each size class of aggregates fiercely, but the influence on small aggregates was higher than that of larger aggregates. The modified transition matrix method could not only calculate soil aggregates stability index, but also analyze more parameters of aggregate experiment, and bring out the each size aggregates characteristics. Thus, the modified transition matrix method could be a better tool to understand soil quality.     

Plant Species Richness Affected Nitrogen Retention and Ecosystem Productivity in a Full‐Scale Constructed Wetland

The effects of plant species richness (SR; i.e., 1, 2, 4, 8, and 16 species per plot) on substrate nitrate and ammonium retention and ecosystem productivity in a full‐scale constructed wetland (CW) with high nitrogen (N) input were studied. Substrate nitrate (0.1–16.4 mg kg^?1) and ammonium concentrations (1.3–9.2 mg kg^?1) in this study were higher than those in other comparable biodiversity experiments. Substrate nitrate concentration significantly increased while ammonium concentration significantly decreased with the increase of plant SR (p = 0.008 and 0.040, respectively). The response of ecosystem productivity to increasing SR was unimodal with four species per plot achieving the greatest productivity. Transgressive overyielding, which was compared to the most productive of corresponding monocultures, did not occur in most polycultures. We conclude that substrate N retention was enhanced by plant SR even with high N input, and plant SR could be managed to improve the efficiency of N removals in CWs for wastewater treatment.     

Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta,China

In the Pearl River Delta (PRD), river water quality deteriorates continually due to the population increase and ongoing industrialization and urbanization. In this study, a water quality management paradigm based on the seasonal variation is proposed. For better exploring the seasonal change of water quality, wavelet analysis was used to analyze the division of dry and wet seasons in the PRD during 1952–2009. Then water quality seasonal variation in 2008 and relevant impact factors were analyzed by multivariate statistic methods as a case to make some management measures. The results show that there are some differences of dry and wet seasons division among different years. Wet season mainly appear from April to September, which occupy the largest proportion among the 58 years (about 70%) and then followed by the wet season from May to October (about 13.8% of the total years). As to the water quality of 2008, significant differences exist between dry and wet seasons for 17 water quality parameters except TP, , Fe²⁺, and Zn²⁺. Levels of parameters pH, EC, COD_Mn, BOD₅, , , and Cl^? in dry season are much higher than those in wet season. In dry season the variations of river water quality are mainly influenced by domestic sewage, industrial effluents, and salt water intrusion. While in wet season, except the aforementioned pollution sources, drainages from cultivated land and livestock farm are also the main factors influencing water pollution. Thus, water quality management measures are proposed in dry and wet seasons, respectively. The results obtained from this study would further facilitate water quality protection and water resources management in the PRD.     

引进印尼种大珠母贝繁育F1母贝植核育珠研究

以印度尼西亚引进大珠母贝亲本繁育的子代F1群体进行植核育珠,育珠贝数量8086只,在海区休养20d后,统计育珠母贝的成活率与留核率,比较3月与4月植核手术育珠贝的育珠性状差异。结果表明：休养期结束后,育珠贝的成活率与留核率分别为97.57％和90.69％;育珠期3个月时（6月17日）育珠贝的成活率为81.22％;4月植核育珠母贝的留核率与成活率明显高于在3月的植核育珠母贝,但两者之间差异不具统计学意义（P〉0.05）。