An Approach for Recreation Suitability Analysis to Recreation Planning in Gölcük Nature Park

Gölcük Nature Park (GNP) is an area protected by law in Turkey. It is an important nature park with rich flora, fauna, geomorphologic forms, landscape features, and recreational potential in the region. However, GNP does not have a recreation management plan. The purpose of this study was to determine the actual natural, cultural, and visual resources of GNP, determine the most suitable recreational sites with multiple factors, evaluate the demands and tendencies of visitors, and suggest recreational activities and facilities for the most suitable sites of GNP. However, it was also conceived as leading to a recreational plan and design of GNP in the future and identifying the entire appropriate and current data of GNP with the creation of various maps. This study used multifactor analysis to determine the most suitable recreation sites of GNP. Used recreation factors were established including degree of slope, proximity to water resources, accessibility, elevation, vegetation, soil, climate, aspect, current cultural facilities, visual values, and some limiting factors in accordance with the characteristics of GNP. Weighting and suitability values of factors were determined by 30 local expert surveys. All obtained data were evaluated and integrated in the Geographical Information Systems base. Obtained maps were overlapped. Thus, recreational suitability zones map were created manually. However, the demands and behaviours from visitor surveys in GNP were focused on the most suitable recreation sites of the park. Finally, 10% of GNP was identified as the most suitable sites for recreational use. Various recreational facilities and activities (including picnicking, sports facilities and playgrounds, camping sites, walking paths, food and local outlets, etc.) were recommended for nine of the most suitable areas on the proposed recreational map.     

汽车排气污染影响因素分析

目前,汽车排气污染已成为城市空气污染的主要因素。江苏油田通过对汽车尾气的现场监测,以及尾气治理中的一些问题分析,总结出影响汽车尾气中污染物浓度的六大因素,并提出相应的解决措施。     

二龙山水库流域土壤资源与可持续利用研究

介绍了二龙山流域的土壤分类系统,对土壤资源分别进行了总体评价和质量评价,指出了二龙山土壤资源存在的问题,并针对存在问题提出了土壤资源可持续利用的建议.      

Teil V: Das Umweltinformationssystem der Universit?t Osnabrück

Zusammenfassung  Grundlage für die erste Stoff- und Energieflu?analyse der Universit?t Osnabrück und die Erstellung der ?kobilanz war eine umfangreiche und damit zeitaufwendige Datensammlung, — aufbereitung und — weiterverarbeitung. Um die Bilanzierung für die Folgejahre zu vereinfachen und die ermittelten Daten für ein ?ko-Controlling nutzen zu k?nnen, wurde ein Konzept für ein Umweltinformationssystem (UIS) der Universit?t erarbeitet. Es setzt sich zusammen aus der operativen Ebene mit den dezentralen Daten(banken) der Verwaltung, einer zentralen Datenbankebene, in der die ?kobilanz erstellt und Umweltkennzahlen berechnet werden, und einer Auswertungs- und Pr?sentationsebene als Schnittstelle zwischen Daten und ihren Nutzern. Das UIS wird mittelfristig als Teil des Management-Informationssystem implementiert, das die Universit?t als erste Hochschule Deutschlands zur Zeit entwickelt.      

上海梦清园生态净化工艺设计与研究

梦清园工程采用人工湿地、水生植物塘组合技术,构建了一套复杂的生态系统净化苏州河水,效果明显,同时还取得了良好的经济、社会效益。     

Accuracy improvement of various short-term load forecasting models by a novel and unified statistical data-filtering method

ABSTRACT

Time-series and machine-learning methods are being strongly exploited to improve the accuracy of short-term load forecasting (STLF) results. In developing countries, power consumption behaviors could be suddenly changed by different customers, e.g. industrial customers, residential customers, so the load-demand dataset is often unstable. Therefore, reliability assessment of the load-demand dataset is obviously necessary for STLF models. Hence, this paper proposes a novel and unified statistical data-filtering method with the best confidence interval to eliminate unexpected noises/outliers of the input dataset before performing various short-term load forecasting models. This proposed novel data-filtering method, so-called the data pre-processing method, is also compared to other existing data-filtering methods (e.g. Kalman filter, Density-Based Spatial Clustering of Applications with Noise, Wavelet transform, and Singular Spectrum Analysis). By using an SCADA system?-based database of a typical 22kV distribution network in Vietnam, NYISO database, and PJM-RTO database, case studies of short-term load forecasting have been conducted with a conventional ARIMA model, an ANN forecasting model, an LSTM-RNN model, an LSTM-CNN combined model, a deep auto-encoder (DAE) network, a Wavenet-based model, a Wavenet and LSTM hybrid model, and a Wavelet Neural Network (WNN) model, which are to validate the novel and unified statistical data-filtering method proposed. The achieved numerical results demonstrate which the accuracy of the aforementioned STLF models can be significantly improved due to the proposed statistical data-filtering method with the best confidence interval of the input load dataset. The proposed statistical data-filtering method can considerably outperform the existing data-filtering methods.     

浙江三门湾沉积记录:U k37表层海水温度和浮游植物群落变化与El Ni?o/La Ni?a的关联

应用三门湾沉积柱样中长链烯酮不饱和指数(U k37)与表层海水温度SST的关系重建历史上的El Ni?o/La Ni?a事件;利用3种浮游植物标志物菜子甾醇(brassicasterol)、甲藻甾醇(dinosterol)和长链烯酮C37(alkenones)来恢复单一种硅藻Diatom、甲藻Dinoflagellates和颗石藻Emiliania huxleyi变化.研究结果表明:(1)U k37估算温度在15.19~17.61℃波动,与当地秋季海水实测温度接近.U k37估算的温度清晰地再现了全球变暖的趋势,且其波动可能与El Ni?o/La Ni?a震荡有关.(2)浮游植物标志物总含量变化范围为710.7~6998.5 ng·g-1,180年以来呈总体上升趋势.沉积记录中硅藻相对比例最高、甲藻次之,硅藻/甲藻比值在2.1~7.2波动,表现出近岸浮游植物对海洋环境变化的敏感性.(3)El Ni?o/La Ni?a事件可影响到浮游植物细胞丰度以及群落结构变化,在El Ni?o盛期,浮游植物细胞丰度剧增,而浮游植物种类数及群集多样性程度明显减少.另外,浮游植物细胞丰度的季节性规律不明显,El Ni?o事件可能是影响三门湾海域浮游植物生产力的主要因素.     

Acute toxicity of ammonia to a freshwater teleost,Labeo bata larvae

Ammonia toxicity tests were performed with Labeo bata (bata) larvae of three different size groups. One hundred percent survival of larvae (500.0?±?4.0?mg) was recorded when exposed to ammonia concentrations of 1.0–13.56?mg?L^?1 at 96?h of exposure. Bata larvae exposed to ammonia concentrations of 15.8–25?mg?L^?1 showed 10–74% mortalities. The 96?h LC₅₀ value for 200 (±5), 250 (±2) and 500 (±4) mg bata larvae were 11.5, 16.8 and 22.5?mg?L^?1 un-ionised ammonia concentrations, respectively. When fish were exposed to different doses of ammonia, behavioural changes immediately occurred even at the lowest dose. At first, the fish became hyperexcitable, the skin darkened and they showed an increased ventilation frequency, fish behaviour became normal, 24?h after exposure. A 96?h LC₅₀ value of un-ionised ammonia showed direct relationship with the increasing size of bata larvae.     

A factor analysis study: Air pollution,meteorology, and hospital admissions for respiratory diseases

It is well known that air pollution exerts adverse effects on health and environment. Bal?kesir located in the Marmara region (Turkey) has serious air pollution problems produced by heating in the months of winter. In this study, the effect of exposure to air pollution on hospital admission for respiratory illnesses among children and adults was examined. Epidemiological data from records of hospitals, air pollutants and meteorological data were used. During July 2005–July 2007 period, there was a total of 280,426 hospital admissions for respiratory diseases. In a population-based analysis, 9 children were admitted for asthma, 17 children for acute bronchitis, and 20 children for lower respiratory diseases out of 100 children. There was a significant increase in the hospital admissions for respiratory diseases and air pollutants from October to March. It was concluded that children living in the city suffer from respiratory diseases such as asthma, pneumonia, and lower respiratory diseases. Three factors that account for approximately 90% of total variance of hospital admissions, air pollution, and meteorology were identified by means of principal component factor analysis.     

Distributions of total metals in the surface sediments of the Bandirma and Erdek Gulfs,Marmara Sea,Turkey

The aim of this study is to determine the contents of aluminum, iron, manganese, nickel, copper, zinc, chromium, cadmium, lead, and mercury in sediments at 1–30?m depths of the Band?rma and Erdek Gulfs in the Southern Inner Shelf of the Marmara Sea. Sediment samples were collected from different depths (1?m, 5?m, 10?m, 20?m, 30?m) at each region in February 2008. Primary hydrographic conditions, such as temperature (6.6–14.5°C), salinity (22.6–26.875 psu), percentage of dissolved oxygen saturation (35–83 %), and pH (8.0–8.4) were recorded for each sampling point. Moreover the total organic carbon (0.5–2.9%) and the total calcium carbonate contents (0.8–60%) of sediment samples were determined. In surface sediments of both gulfs, Pb (21–62?mg?kg^?1) and Cd (0.52–0.86?mg?kg^?1) contents were determined to be higher than the shale average (Pb 20?mg?kg^?1, Cd 0.2?mg?kg^?1) while the other metal contents were measured to be lower in general. On the other hand, generally Hg (0.06–1.1?mg?kg^?1) contents were higher than the shale average (0.3?mg?kg^?1)at all of the examined stations in the Band?rma Gulf and lower than the shale average in the Erdek Gulf.