An Optimization Method for Estimating Constituent Mean Concentrations in Base Flow‐Dominated Flow

Pollutant coefficients have been widely used to assess runoff nonpoint source pollution from individual land uses (e.g., agricultural, residential) of a watershed. Pollutant coefficients, known as event mean concentrations (EMCs), were developed by the U.S. Environmental Protection Agency's Nationwide Urban Runoff Program (NURP) to serve as a national measure for characterizing pollutant loading in a receiving water body. The term “baseflow pollutant coefficient (BPC)” is used in this study as a surrogate for EMC to describe mean concentration of pollutants in base flow‐dominated flow. A method for characterizing base flow quantity and quality for different land uses was explored using inverse modeling with two optimization techniques (a least square method and a genetic algorithm [GA] optimization), land use information, and streamflow quantity and quality data. The inverse model was formulated as a constrained minimization problem and demonstrated with data for 15 watersheds in Indiana. Results showed that estimated pollutant coefficients are comparable to the published literature. This indicates that the proposed method has the potential to effectively estimate constituent mean concentrations for pollutant load determination in gauged and ungauged watersheds, albeit more analysis with larger and more robust datasets is desirable to further refine and validate the accuracy of the approach.     

大型公园道路网络关键节点脆弱性评价*

为更加科学有效地辨识景区道路网络中的客流关键节点,以节点脆弱性为度量指标,提出1种基于FIM模型的关键节点脆弱性评价方法。以某大型公园为例,首先通过ArcGIS软件将该公园的道路网络信息转换成可编译的文本信息,经过Java枚举可行路径,然后利用嵌入FIM算法的Lingo进行优化,得出网络节点的重要度。最后综合节点容量、流量、吸引度等信息加权得出网络节点的脆弱性。结果表明:该方法能够有效地对道路网络节点进行脆弱性度量并排序,景区可据此制定相应的客流导向方案以提高景区资源的利用率,提高游览的安全性。     

大坝下游河段的河流生态径流调控研究

了分析大坝工程对河流径流情势的影响,以三峡大坝下游河段的宜昌站为例,计算了三峡坝下河段的生态水文季节、生态需水和其它径流情势特征参数。计算结果表明,长江宜昌江段枯水期为1~3月份、副汛期为4~6月份和10~12月份,而洪水期为7~9月份;枯水期、副汛期和洪水期的最小生态需量占同期来水总量分别为24%~27%、30%~50%和30%~45%;适宜的生态需水在枯水期、主汛期分别占同时期来水总量为30%~42%、50%~70%;四大家鱼和中华鲟产卵、繁殖期内的适宜生态流量范围分别为 6 540~12 700 m3/s 和 16 300~9 130 m3/s,大约占同时期来水总量的50%~70%;涨水次数平均值分别为5.3和3.4,落水次数平均值分别为50和5.1等,这为三峡水库在四大家鱼和中华鲟产卵、繁殖期内的调度提供了保护的依据。〖     

Experimental analysis of thermal performance of evacuated tube and flat-plate solar air collectors at different air flow rates

The thermal performances of an evacuated tube collector (ETC) and flat-plate solar air collector (FPC) are experimentally investigated at different air flow rates. To investigate the performance of the ETC and FPC, experimental set-ups were fabricated. Air was used as a working fluid and tested at the same climatic conditions. The ETC had 15 evacuated tubes with a surface area of 1.66 m². The experimental set-up consisted of a header with a hollow pipe (square pipe) in the centre through which the air flowed. The flat-plate collector had a surface area of 1.35 m². The FPC had a black painted absorber sheet which divides the collector into two sections. The air flowed through the upper and the lower sections parallel to the collector to minimize the overall heat loss. The temperature of the outlet air depends on several factors along with the airflow rate and the intensity of the solar radiation. It was found that during the day at high flow rates, the efficiency of the ETC varies from 0.12 to 0.5, and for the flat plate it was from 0.29 to 0.68. The maximum temperature of the air was 56.7°C for the ETC and 25.7°C for the FPC.     

根据阵流估计泥石流堆积参数

泥石流堆积是泥石流产生灾害的主要方式，也是进行泥石流灾害评估的主要依据。根据泥石流堆积的形态特征提出了堆积的元过程叠加，将堆积与间歇性的阵流运动联系起来；利用近20年来蒋家沟泥石流阵流序列的观测数据，估计了堆积的相关因子，如速度、流深、流量、堆积厚度等。这些因子表现出一定的频率分布特征，它可能改变过去确定论的泥石流观念，同时也为提出新的泥石流评估模式提供了定量的依据。     

Predicting future quantities of obsolete household appliances in Nanjing by a stock-based model

China has become one of the largest producers of obsolete household appliances (HAs) in the world. However, information on discarded HAs in China is deficient owing to the unavailability of reliable data. The estimation of future obsolete streams is a crucial issue for the establishment of efficient waste collection and recycling systems. The present study describes a prediction model to forecast future obsolete HAs on the basis of information of in-use stocks of HAs in households. The model was applied to a forecasting analysis of quantities of obsolete HAs from 2009 to 2050 in Nanjing, China. The results show that a total of about 76 million units (2.8 million tonnes) of obsolete HAs will be generated in Nanjing over the next 40 years. Discarded air conditioners, color TV sets, and personal computers will be the major contributors. The total discarded amount of major kinds of HAs will increase from nearly 1.0 million units in 2009 to a maximum of 2.1 million units in 2040, and then decrease slightly to 2.0 million units in 2050. Urban households will generate significantly more obsolete HAs (about 56 million units) than rural households, due to the difference in their HA possession levels. The results of this study should help the Nanjing municipality to develop the collection and recycling systems and facilities needed for the obsolete HAs generated in the future. From a methodological perspective, the stock-based model provides a suitable tool to predict the generation of discarded HAs in the future.     

煤巷掘进过程中粉尘浓度影响因素分析

为了掌握煤巷掘进过程中粉尘浓度变化的影响因素,根据气固两相流理论,针对矿井掘进工作面的特点,采用计算流体力学的离散相模型（DPM）考察了掘进巷道风速、风筒直径、风筒出风口到掘进工作面距离以及风筒的悬挂高度对粉尘浓度变化的影响。结果发现：当掘进巷道风速为0.25-4 m/s时,提高巷道内的通风风速,可以降低巷道内的粉尘浓度,缩短呼吸性粉尘浓度达到稳定的时间,减小工作面粉尘的危害;有利于通风除尘的风筒相关参数为风筒直径0.4-0.6 m、风筒出风口到掘进工作面距离6-7 m、风筒悬挂高度2.0-2.2 m。     

陕西关中地区旅游流"井喷效应"的时空演变规律

旅游流"井喷现象"是特殊时段旅游流时空分布的特殊现象之一,其时空分布规律研究有助于旅游目的地的科学管理参照.选取关中地区旅游资源丰富的西安、宝鸡、华山三地作为案例,建立"黄金周"客流周内波动指数R,周内分布偏度指数G,并使用相关分析和Pearson相关系数,分析陕西关中地区特殊时段内旅游流"井喷效应"的时空演变规律.结果显示,在假日制度时间约束下,旅游流呈现"井喷现象"显著,一级旅游目的地城市的旅游资源属性、周边地区旅游资源配置和区位交通状况共同影响着游客的空间选择行为,从而影响区域旅游流的时间和空间分布.     

Development of a coupled reservoir operation and water diversion model: Balancing human and environmental flow requirements

Maintaining a natural flow regime helps preserve the health of riverine ecosystems. Conventional studies on reservoir operations have focused mainly on identifying optimal operational schemes for satisfying human water demands. To systematically reflect the ecological effects of both natural and human-induced hydrologic alterations, water diversions downstream of the reservoirs should be considered as well. This research focused on a coupled reservoir operation and water diversion (CROWD) model, created through the integration of a reservoir operation model and a water diversion model. The proposed model considers both human and environmental flow requirements, and represents a compromise that balances ecological protection (preservation of the natural flow regime of a river) and human needs (reduced water shortages). In the reservoir operation model, the reservoir space is divided into three zones and different operating rules are developed for directing reservoir operation when water levels are in different zones; in the water diversion model, different water users are assigned different supply priorities with the instream flows no more than the minimum environmental flows having the highest priority; and the two models are coupled by the water mass balance between the two hydraulic facilities. The non-dominated-sorting genetic algorithm II (NSGA-II) was used to determine the parameters of the developed CROWD model and the model was applied to support the joint operational management of the Tanghe Reservoir and the Liaoyang Diversion in the Tang river basin, China. The resulting reservoir operation and water diversion schemes indicate that the CROWD model is useful for optimizing the operation of reservoirs and water diversion schemes. Moreover, it helps to analyze tradeoffs between human and environmental water needs, resulting in solutions that reduce the risk of water shortages and minimize ecological integrity disturbances.     

Optimal Pollution Trading Without Pollution Reductions: A Note1

García, Jorge H., Matthew T. Heberling, and Hale W. Thurston, 2011. Optimal Pollution Trading Without Pollution Reductions: A Note. Journal of the American Water Resources Association (JAWRA) 47(1):52‐58. DOI: 10.1111/j.1752‐1688.2010.00476.x Abstract: Various kinds of water pollution occur in pulses (e.g., agricultural and urban runoff). Ecosystems, such as wetlands, can serve to regulate these pulses and smooth pollution distributions over time. This smoothing reduces total environmental damages when “instantaneous” damages are marginally increasing. This paper introduces a water quality trading model between a farm (a pulse‐pollution source) and a firm (a more steady pollution source) where the object of exchange is the “temporary” retention of runoff as opposed to total runoff reductions. The optimal trading ratio requires firm emissions to be offset by more than a proportional retention of the initial agricultural runoff pulse. The reason is twofold: (1) emissions are steady or constant over time and, in this sense, have relatively larger environmental impact; and (2) certain kinds of runoff management cause delayed environmental damages.