松嫩盆地资源环境信息系统空间数据库的设计与开发

文章介绍了松嫩盆地资源环境信息系统空间数据库的设计思路,总体目标、构成及功能以及系统建立的关键技术。该系统的建立,使得对松嫩盆地资源开发管理和相关信息的查询、检索更方便,同时对松嫩盆地资源合理开发利用和管理决策提供了科学依据。     

肥料投入水平与养分资源高效利用的关系

提高资源利用效率是实现农业可持续发展目标的核心,本文以山东省和全国作物施肥现状研究为基础,探讨了肥料投入与养分资源效率及环境风险的关系。从区域、农户和 吨粮田不同层次上的分析表明,高投入下可以实现高效率,关键是提高综合管理的科学水平;经济作物生产中存在经济效益和资源效率分离的现象,生产者受经济利益驱动,大量投入肥料,由此会带来极低的资源效率和巨大的环境风险;在注意经济发达地区高化肥投入带来的环境问题的同时,还需要关注发展高经济价值作物带来的低资源效率和高环境风险。     

塔里木河干流农田排水资源化研究

近几十年分析资料对比表明 ,农田排水对塔里木河干流水质盐化的影响不断加重。在塔里木河干流 ,农田排水资源化利用有如下几个有利条件 :( 1)农田排水有一定数量且渠网的延伸和改造难度不大 ;( 2 )荒漠可作为农田排水资源化利用的场所 ;( 3)农田排水仍可勉强适于耐盐植物生长。根据区域不同 ,利用农田排水拓展乔灌草防沙带、增加盐成土荒漠耐盐植被的盖度、使人工绿洲边缘的荒漠能够生长耐盐植物等都是农田排水资源化利用发展的方向     

西部地区加快开发应当克服“资源近视症”

本文从分析我国传统的经济增长方式入手,通过对资源近视症”的表现及后果的分析,提出西部西地区,特别是西部少数民族地区只有树立全面的资源观,立足优势,面向市场,抓住机遇,合理开发资源和利用资源,才能走出一条符合本民族,本地区实际的可持续发展之路。     

资源和环境的存在价值的经济学基础

资源与环境的存在价值为独立与人们对资源的现期使用的价值。在资源,环境的代际问题中,存在价值会成为重要的决策参数。本文对存在价值的同予以分陈、归纳,并以反映其特点的结构进行表述;其次对存在价值与其它类别的价值尤其是期权价值,准期作出区分。     

湖北水资源现状与可持续利用战略对策

湖北省有十分丰富的过境客水资源,但自产水资源却十分有限,在水资源开发利用中存在许多亟待解决的问题。如地表水污染日趋严重,地下水也存在不容的污染;农业用水占大头,其节水潜力巨大;目前主要是利用地表水,地下水的利用很少;洪涝时时灾害仍然十分严重,并有愈演愈烈的趋势;从长远看,湖北省的水资源问题将主要是污染型短缺的问题;南水北调中线工程将对汉江中下游供水和水质造成不容忽视的影响;在计划体制下形成的水资源     

Impacts of Changes in Precipitation Amount and Distribution on Water Resources Studied Using a Model Rainwater Harvesting System

Water supply reliability is expected to be affected by both precipitation amount and distribution changes under recent and future climate change. We compare historical (1951‐2010) changes in annual‐mean and annual‐maximum daily precipitation in the global set of station observations from Global Historical Climatology Network and climate models from the Inter‐Sectoral Impact Model Intercomparison Project (ISI‐MIP), and develop the study to 2011‐2099 for model projections under high radiative forcing scenario (RCP8.5). We develop a simple rainwater harvesting system (RWHS) model and drive it with observational and modeled precipitation. We study the changes in mean and maximum precipitation along with changes in the reliability of the model RWHS as tools to assess the impact of changes in precipitation amount and distribution on reliability of precipitation‐fed water supplies. Results show faster increase in observed maximum precipitation (10.14% per K global warming) than mean precipitation (7.64% per K), and increased reliability of the model RWHS driven by observed precipitation by an average of 0.2% per decade. The ISI‐MIP models show even faster increase in maximum precipitation compared to mean precipitation. However, they imply decreases in mean reliability, for an average 0.15% per decade. Compared to observations, climate models underestimate the increasing trends in mean and maximum precipitation and show the opposite direction of change in reliability of a model water supply system.     

Emerging Tools for Continuous Nutrient Monitoring Networks: Sensors Advancing Science and Water Resources Protection

Sensors and enabling technologies are becoming increasingly important tools for water quality monitoring and associated water resource management decisions. In particular, nutrient sensors are of interest because of the well‐known adverse effects of nutrient enrichment on coastal hypoxia, harmful algal blooms, and impacts to human health. Accurate and timely information on nutrient concentrations and loads is integral to strategies designed to minimize risk to humans and manage the underlying drivers of water quality impairment. Using nitrate sensors as the primary example, we highlight the types of applications in freshwater and coastal environments that are likely to benefit from continuous, real‐time nutrient data. The concurrent emergence of new tools to integrate, manage, and share large datasets is critical to the successful use of nutrient sensors and has made it possible for the field of continuous monitoring to rapidly move forward. We highlight several near‐term opportunities for federal agencies, as well as the broader scientific and management community, that will help accelerate sensor development, build and leverage sites within a national network, and develop open data standards and data management protocols that are key to realizing the benefits of a large‐scale, integrated monitoring network. Investing in these opportunities will provide new information to guide management and policies designed to protect and restore our nation's water resources.     

Modeling urban solar energy with high spatiotemporal resolution: A case study in Toronto,Canada

This research presents a method to determine the maximum potential for the capturing of solar radiation on the rooftop of buildings in an urban environment. This involves the modeling of solar energy potential and comparison to historical building energy demand profiles through the use of 3-D solar simulation software tools and geographic information systems (GIS). The objective is to accurately identify the amount of surface area that is suitable for solar photovoltaic (PV) installations and to estimate the hourly PV electricity generation potential of existing building rooftops in an urban environment. This study demonstrates a viable approach for modeling urban solar energy and offers valuable information for electricity distributors, policy makers, and urban energy planners to facilitate the substantial design of a green built environment. The developed methodology is comprised of three main sections: (1) determination of suitable rooftop area, (2) determination of the amount of incident solar radiation available per rooftop, and (3) estimation of hourly solar PV electricity generation potential. A case study was performed using this method for Ryerson University, located in Toronto, Canada. It was found that solar PV could supply up to 19% of the study area’s electricity demands during peak consumption hours. The potential benefits of solar PV was also estimated based upon hourly greenhouse gas emission intensity factors as well as Time-of-Use (TOU) savings through the Ontario Feed-in-Tariff (FIT) program, which allows for better representation of the positive impacts of solar technologies.