农田生态补偿方式的选择及市场运作——基于武汉市383户农户问卷的实证研究

选择交易成本低、具有操作性的补偿方式,实现农田生态产品的市场运作,是农田生态补偿制度实施的关键。利用问卷调查资料,分析了武汉市农户对不同农田生态补偿方式的认知、选择以及其影响因素,在此基础上指出了政府补偿方式在农田生态补偿领域的缺陷及引进市场方式的建议。研究表明:(1)武汉市农户对农田生态补偿的认知程度较低,仅有10.71%的受访农户听说过生态补偿、生态危机等概念;(2)49.02%农户对现行的现金补偿方式不太满意,认为补偿金额太低,94.65%的受访者更倾向于接受更高额度的现金补偿方式;(3)农户对现金、实物、技术(智力)、政策等农田生态补偿方式的选择偏好受其性别、年龄、家庭人口、家庭年收入、家庭中需抚养人口数和文化程度的显著影响。研究提出构建农田生态补偿的交易平台、完善生态环境物品数量化的体系设计和管理模式的多样化是推进农田生态补偿的市场化运作的关键。     

不同类型农户农地投入的影响因素

农户作为农业生产投入的微观主体,其农地投入行为对农业和农村经济发展影响重大.本文以湖北省江汉平原和鄂北岗地6个县(市、区)的473个农户抽样调查数据,构建逐步回归模型,分析不同类型的农户农地投入行为的影响因素.结果表明:①近年来,农户耕地的投入水平处于上升趋势,国家实施的惠农政策取得了积极成效;②相对于消费型农户而言,利润型农户的总投入水平较离;③目前农户农地投入主要是流动资本投入,固定资本投入较少,农业污染较为严重,农业机械化水平有较大的提升空间;④农户农业生产目标决定其农地投入行为:消费型农户与市场联系不太紧密,依据家庭消费需求进行生产投入决策;利润型农户与市场联系非常紧密,追求利润最大化,按照市场行情进行生产投入决策.⑤不同类型农户农地投入的影响因素存在差异:家庭特征和家庭资源禀赋是影响消费型农户农地投入的主要因素;农业生产要素市场、农产品市场和农业政策是影响利润型农户农地投入的主要因素.     

近49年中国夏季制冷度日数的变化

利用全国531个气象站1960~2008年逐日平均气温资料,分析了近49 a来我国夏季制冷度日数的变化趋势,并以浙江省为例分析了制冷度日数与夏季空调降温电力负荷的关系。主要结论如下：我国日平均温度等于或高于26℃的日数（1971~2000年平均）大于10 d,夏季有制冷需求的站点主要分布在新疆、四川盆地和太行山 巫山 雪峰山一线以东地区,以及云南干热河谷地区。1960~2008年我国黄河以北地区夏季有制冷需求的站点6~9月平均气温从20世纪90年代中期开始呈现出较明显的上升趋势,使得制冷日数和度日数都相应增加;黄河以南、南岭以北地区近49 a来6~9月平均气温线性趋势不明显,制冷度日数变化不大;南岭以南地区6~9月气温持续上升,夏季制冷度日数的增加最为显著。以浙江省为例的分析显示,制冷度日数与夏季空调降温电力负荷有很好的线性相关关系,可以用来预测降温耗电量。
     

市场失灵、非市场价值与农地非农化过度性损失

农地资源不仅具有经济生产功能,还具有大气调节、涵养水源、保持土壤成分、休闲娱乐等多种生态功能,而在非农化过程中这些功能在市场中没有以价格的形式体现出来,没有包含在农地的现实价值中。因而,有必要对农地的非市场功能进行详尽的分类及价值估算。同时,将由于市场失灵而没能包含到农地总价值中的生态环境等非市场价值纳入到成本效益决策中,来减少市场失灵所造成的农地非农化的效率损失。通过对农地非市场功能的具体分类及量化,测算我国不同经济区域因市场失灵导致的农地非农化过度损失,结果显示,代表东、中、西部地区的江苏、湖北和甘肃省的农地非农化过度损失Ⅰ分别为31.58%、38.13%和43.85%,这为我国农地非农化的行为调控及相应公共政策措施的制订和实施提供了理论依据。     

考虑荷载修正的衬砌背后空洞对结构安全性影响分析

以云南省某公路隧道为背景,建立考虑空洞影响下的荷载-结构修正计算模型,引入最小安全系数,对衬砌安全性进行评估.计算结果表明:背后存在空洞时,衬砌受力条件恶化,空洞处衬砌内力重分布明显,弯矩分布形态发生改变,导致衬砌安全性显著降低.拱顶或拱腰背后存在空洞时,衬砌最小安全系数均随空洞范围变大而降低.相同空洞范围下,相较于拱...     

新时期高速公路建设节约用地创新性研究

"十一五"期间,我国提出了新版国家高速公路网络规划,新一轮的高速公路建设热潮正在展开,同时高速公路建设与节约土地资源,特别是高速公路建设与保护耕地资源之间的矛盾日益显著.结合国家现行土地利用政策,就今后在高速公路建设中如何有效节约土地资源,从政策机制、项目管理、施工技术等对建设高速公路节约用地提出了创新性思考和可行性建议.     

POLLUTANT LOADS IN URBAN STORMWATER: REVIEW OF METHODS FOR PLANNING-LEVEL ESTIMATES1

ABSTRACT: A review of methods for planning-level estimates of pollutant loads in urban stormwater focuses on transfer of charac. teristic runoff quality data to unmonitored sites, runoff monitoring, and simulation models. Load estimation by transfer of runoff quality data is the least expensive, but the accuracy of estimates is unknown. Runoff monitoring methods provide best estimates of existing loads, but cannot be used to predict load changes resulting from runoff controls, or other changes of the urban system. Simulation models require extensive calibration for reliable application. Models with optional formulations of pollutant build up, washoff, and transport can be better calibrated and the selection of options should be based on a statistical analysis of calibration data. Calibrated simulation models can be used for evaluation of control alternatives.     

Drainage Investment and Wetlands Loss: an Analysis of the National Resources Inventory Data

The United States Soil Conservation Service (SCS) conducts a survey for the purpose of establishing an agricultural land use database. This survey is called the National Resources Inventory (NRI) database. The complex NRI land classification system, in conjunction with the quantitative information gathered by the survey, has numerous applications. The current paper uses the wetland area data gathered by the NRI in 1982 and 1987 to examine empirically the factors that generate wetland loss in the United States. The cross-section regression models listed here use the quantity of wetlands, the stock of drainage capital, the realty value of farmland and drainage costs to explain most of the cross-state variation in wetland loss rates. Wetlands preservation efforts by federal agencies assume that pecuniary economic factors play a decisive role in wetland drainage. The empirical models tested in the present paper validate this assumption.     

VELOCITY EQUATION FOR WATER QUALITY MODELING IN GEORGIA1

ABSTRACT: Tabletop water quality modeling still plays an important role in the water pollution control activities of the Georgia Environmental Protection Division. Tabletop models are those developed with out the aid of extensive field data. One important component of GEORGIA DOSAG, our basic water quality model, is the equation used to predict flow through velocity. However, Georgia is characterized by wide physiographic diversity which reduces the effectiveness of uncalibrated velocity equations. Using 15 years of accumulated time-of-travel studies, a series of empirical velocity equations were developed and calibrated to various physiographic conditions in Georgia. Equations are available for each major soil province and for three stream flow ranges within each province - Q<100 cfs, 100<Q<1000 cfs, and Q>1000 cfs. Now, in the absence of extensive field data, we have data based velocity equations which can be tailored to each site under study.     

MODELING FECAL COLIFORM CONTAMINATION IN THE RIO GRANDE1

This study examines sources of fecal coliform in Segment 2302 of the Rio Grande, located south of the International Falcon Reservoir in southern Texas. The watershed is unique because the contributing drainage areas lie in Texas and Mexico. Additionally, the watershed is mostly rural, with populated communities known as “colonias.” The colonias lack sewered systems and discharge sanitary water directly to the ground surface, thus posing an increased health hazard from coliform bacteria. Monitoring data confirm that Segment 2302 is not safe for contact recreation due to elevated fecal coliform levels. The goal of the study was to simulate the observed exceedences in Segment 2302 and evaluate potential strategies for their elimination. Fecal coliform contributions from ranching and colonia discharges were modeled using the Hydrologic Simulation Program‐Fortran (HSPF). Model results indicated that the regulatory 30‐day geometric mean fecal coliform concentration of 200 colony forming units (cfu) per 100 milliliters is exceeded approximately three times per year for a total of 30 days. Ongoing initiatives to improve wastewater facilities will reduce this to approximately once per year for 14 days. Best management practices will be necessary to reduce cattle access to streams and eliminate all exceedences. The developed model was limited by the relatively sparse flow and fecal coliform data.