珠江三角洲经济区农业生态环境现状与对策

珠江三角洲经济区耕地锐减，水资源分布不均，工业和农业污染严重，农业生态环境日趋恶化。经济发展不平衡，农业趋于萎缩状态，本文针对这些问题，提出了珠江三角洲农业生态环境治理的指导思想、发展目标和基本措施。     

黄河三角洲及珠江三角洲生态足迹分析

利用遥感解译数据,分析了解珠江三角洲及黄河三角洲自然资本的供需状况,通过分析两大三角洲地区的生态足迹,探讨在经济发展程度不同的情况下,人类对生态环境的影响程度。并借鉴珠江三角洲经济发展过程中出现的问题,对黄河三角洲今后发展可能出现的问题提出预防措施,以减少对资源的不合理需求,提出正确的功能定位,制定正确的发展方向。研究结果表明,(1)黄河三角洲和珠江三角洲的生态足迹需求均高于全国0.8hm2/人的平均水平,珠江三角洲地区生态足迹需求为1.5403hm2/人;黄河三角洲地区生态足迹需求为1.3514hm2/人。(2)化石燃料的供需状况是影响两大三角洲地区生态赤字的关键因素,珠江三角洲地区对化石燃料的需求占总生态足迹需求的72.67%,位居全国第一位;黄河三角洲地区对化石燃料的需求占总生态足迹需求的49.85%。(3)珠江三角洲除林地尚有少量生态盈余外,其他生态足迹需求均存在明显的生态赤字。受城市化及工业化进程的影响,黄河三角洲化石燃料用地和耕地资源已出现生态赤字。(4)与西方一些发达国家相比,两大三角洲的生态足迹均呈现“低需求,低供给”的特点。     

基于开发需求的安徽沿江地区生态经济分区

从压力、状态和人类响应3个方面,构建了生态经济分区指标体系,结合经济开发需求的评价结果,以县(市、城区)为基本评价单元,利用主成分分析与系统聚类的方法,根据自上而下的专家定性评估,遵循空间邻近性原则,将安徽沿江地区划分为7个生态经济类型,即:合肥污染防治与城镇生态优化区、巢滁湖泊湿地保护与平原生态农业区、马芜铜宣工业污染防治与城镇生态优化区、宣南生态农业与水土保持区、安庆平原农业与湿地生态保护区、池州森林保育与生态农业区以及皖西水源保护与森林保育区.     

闽江流域畜禽粪便的污染负荷及其环境风险评价

从闽江流域畜禽养殖业现状分析入手,根据作物所需畜禽粪尿肥的最大量,估算流域各县市的畜禽污染物产生量和农田畜禽粪便负荷量,对各县市畜禽养殖粪便污染进行潜在的环境风险评价.结果表明:闽江流域大多数集约化养殖场集中分布于中上游,并有向下游扩散的趋势;流域农田畜禽粪便负荷量平均达22.95 t·hm-2·a-1;整个流域的畜禽污染已对环境产生风险,尤其是富屯溪、沙溪流域更为突出.     

Colonization of the Southern Patagonia Ocean by Exotic Chinook Salmon

Abstract:  Anadromous salmonids have been particularly successful at establishing wild populations in southern Patagonia, in contrast to their limited success elsewhere outside their native ranges. The most recent such discovery is a spawning population of Chinook salmon in the Santa Cruz River, which flows into the Atlantic Ocean from Argentina. We used mitochondrial DNA analysis to discriminate between alternative potential sources of this population and were able to discard in situ introductions of fish imported directly from California in the early twentieth century. Our results showed that the fish most likely came from Puget Sound, Washington, imported into southern Chile for salmon-ranching experiments in the 1980s. This finding provides concrete evidence of colonization of Atlantic rivers from Pacific locations. The southern Pacific and Atlantic oceans provide a favorable marine environment for the success of invading salmon. In particular, the waters associated with fjords, southern channels, and the inshore portion of the Patagonian shelf provide a rather bounded, continuous waterway for exotic anadromous salmonids, rich in diverse forage species.     

长江河口水体有机污染物现状分析

对枯水期和丰水期长江河口区5个断面不同深度水样进行检测,共检出有机物200余种,其中定量检出的有机物达53种,有36种属美国EPA控制的有毒有机化合物,列入中国环境优先控制污染物黑名单的有16种.枯水期N-二甲基亚硝胺含量较高,最高值约为1.2 mg·L-1.丰水期2,4-二硝基酚、邻苯二甲酸二丁基苯基酯含量较高,最高值分别约为1.3和1.0 mg·L-1.底层水中有机污染物浓度高于表层和中层.     

长江上游典型区域丰枯转换期水资源变化分析

针对长江上游金沙江下游区域近几年6月和10月出现的较剧烈的水资源丰枯转换现象,以2018年金沙江下游来水过程作为研究案例,考虑金沙江下游流域来水组成及水利工程建设情况,从区间流量分析及上游水库群调蓄影响分析两方面开展了研究工作。研究结果表明:金沙江下游流域丰枯转换主要影响因素为三堆子流量变化,三堆子至溪洛渡区间流量变化影响较小。在6月,上游水库群调蓄对金沙江下游流域丰枯转换影响较大,10月影响相对较小。相关研究成果可为溪洛渡-向家坝梯级水库调度计划制订及实际调度工作提供参考。     

Heavy metals associated with reduced sulfur in sediments from different deposition environments in the Pearl River estuary, China

Distribution of acid volatile sulfur (AVS) and the simultaneously extracted metals (SEM: Cu, Pb, Zn, Cd, Ni) in sediment profiles has been studied at five sites in Pearl River estuary, China. Of the five sampling locations, Nos.1 and 2 are in the middle shoal, Nos.3 and 4 in the west shoal and No. 5 locates to the south of the estuary. The AVS content in the sediments of the middle shoal varies in a small range (0.25–4.06 μmol g⁻¹), while that of west shoal increases with depth from 0 to ultimately 26.09 μmol g⁻¹. The SEM concentration in the sediment profiles at location Nos. 1, 2 and 5 is generally in the range of 0.95±0.2 μmol g⁻¹ with a slight upward increase, while that in the sediment of west shallows are much higher (1.43–2.42 μmol g⁻¹) with a significant upward increase, especially in the upper layer of ca. 15 cm. The observed upward increase of SEM content at all the sites implies that heavy metal contamination of sediment in the Pearl River estuary is increasing. Calculations of the excess heavy metal content which is defined by SEM-AVS molar difference suggests that the upper sediment in the Pearl River estuary, especially on the west shallows, could be a source of heavy metal contaminants and may cause toxicity to the benthos. The site-specific distribution patterns in the AVS and SEM profiles were interpreted according to the hydrogeochemistry of deposition environments.     

River water quality management model using genetic algorithm

Conventional mathematical programming methods, such as linear programming, non linear programming, dynamic programming and integer programming have been used to solve the cost optimization problem for regional wastewater treatment systems. In this study, a river water quality management model was developed through the integration of a genetic algorithm (GA). This model was applied to a river system contaminated by three determined discharge sources to achieve the water quality goals and wastewater treatment cost optimization in the river basin. The genetic algorithm solution, described the treatment plant efficiency, such that the cost of wastewater treatment for the entire river basin is minimized while the water quality constraints in each reach are satisfied. This study showed that genetic algorithm can be applied for river water quality modeling studies as an alternative to the present methods.     

Heavy Metals in the Bed and Suspended Sediments of Anyang River, Korea: Implications for Water Quality

The objective of this study is to compare Anyang River bed sediments with water chemical composition and to assess the anthropogenic chemical inputs into the river system. Eight sampling locations were chosen along the river channel. Bed and suspended river sediments and water samples were collected, and analyzed for their chemical and physical composition. Data revealed that trace element concentrations in the river water were generally below world average, except for As, Mn, Ni and Cr. Among the three phases: water, bed and suspended sediment, more than 99% of the trace elements was associated with the bed sediment. Concentrations of trace elements in the sediment were a function a particle size distribution and organic content. The calculated degrees of enrichment based on the least influenced sample (ASD 1) indicated the river sediments were enriched with respect to background. The enrichment factors for Pb, Zn and As were relatively lower than for Cr, Co, Ni and Zn. The difference in the enrichment seems to reflect the human activities influence in the basin, and specially for Cd. Speciation of the elements in the five different chemical forms in the sediment by sequential extraction indicated that the reducible fraction was predominant for Fe, Zinc and Cu showed an irregular variation among the different fractions; whereas, Cd and Pb were more regular. Zinc and Cu highly existed mostly in exchangeable forms. Acid soluble and reducible forms were also important for most metals. The speciation implies that the metals associated with the sediment are subject to release into water bodies as goechemical variables (pH and Eh) change. Currently, the introduced metals are deposited near the source area and are mostly associated with the sediment, implying that the river bed sediment acts mainly as a sink, rather than a pool. The accumulated and enriched toxic trace elements can pose a potential pollution of river water.