Simple Spatial Modeling Tool for Prioritizing Prescribed Burning Activities at the Landscape Scale

Abstract:   Resources for prescribed fire are frequently insufficient to manage public lands for all conservation and resource management objectives, necessitating prioritization of the application of fire across the landscape within any given year. Defining tradeoffs when applying prescribed fire to large landscapes is problematic not only because of the complexity of weighing competing management objectives at the landscape scale, but also because of the difficult nature of independently applying need-to-burn criteria to large areas. We present a case study of a simple modeling process implemented at Eglin Air Force Base in the Florida Panhandle (U.S.A.) to prioritize the application of prescribed fire. In a workshop setting, managers and biologists identified key conservation criteria and landscape management objectives that drive the application of prescribed fire. Remote sensing and other spatial data were developed to directly or indirectly represent all these criteria. Using geographic information system software, managers and biologists weighted each criterion according to its relative contribution to overall burn prioritization, and individual values for the criterion were scored according to how they influence the need to burn. Subsequently, this process has been validated and modified through ecological monitoring. This modeling process has also been applied to the 77,400-ha Blackwater River State Forest, public land adjacent to Eglin Air Force Base, demonstrating its applicability to lands with varying management priorities. The advantages of this model-based approach for prioritizing prescribed fire include the reliance on accessible, inexpensive software, the development of spatially explicit management objectives, the ease of transferability, and clearly stated assumptions about management that may be tested and reviewed through monitoring and public comment.     

Assessment of groundwater contamination using geographic information systems

In this study two sites were selected in order to investigate groundwater contamination and spatial relationships among groundwater quality, topography, geology, landuse and pollution sources. One site is the Asan area, an agricultural district where pollution sources are scattered and which is mainly underlain by granite of Cretaceous age. The other site is the Gurogu area of Seoul city, an industrial district where an industrial complex and residential areas are located and which is mainly underlain by gneiss of Precambrian age. Groundwater samples collected from these districts were analysed for chemical constituents. An attribute value files of chemical constituents of groundwater and the spatial data layers were constructed and pollution properties were investigated to establish out spatial relationships between the groundwater constituents and pollution sources using geographic information systems (GIS).Relatively high contents of Si and HCO₃ ^– in the groundwater from the Asan area reflect the effect of water–rock interaction whereas high contents of Cl^–, NO₃ ^– and Ca²⁺ in the groundwater from the Gurogu area are due to the pollution of various sources. The significant seasonal variation of SiO₂, HCO₂ ^– and Ca²⁺ contents, and that of Ca²⁺ content were observed in the Asan and the Gurogu areas, respectively. Seasonal variation of pollutants such as Cl^–, NO₃ ^– and SO₄ ^2– was not observed in either area. Pollution over the critical level of the Korean drinking water standard has been investigated from 15 sampling sites out of 40 in the Asan area, and 33 sampling sites out of 51 in the Gurogu area. Pollution by NO₃ ^–, Cl^–, Fe²⁺, Mn²⁺, SO₄ ^2– and Zn²⁺ in the groundwater from the industrial district (Gurogu area) and that of NO₃ , SO₄ ^2– and Zn²⁺ in the groundwater from the agricultural district (Asan area) were observed. The principal pollutant in both areas is NO₃ ^–. Deep groundwater from the Asan area is not yet contaminated with NO₃ ^– except for one site, but most of the shallow groundwater site occurring near the potential point sources is seriously contaminated. From the result of buffering analysis, it seems clear that factories and stock farms are the principal pollution sources in the Asan area. The groundwater from the Gurogu area has already been seriously polluted considering the fact of NO₃ ^– contamination of deep groundwater. Chlorine pollution of shallow groundwater in the Gurogu area was also observed. Spatial relationship between pollution level and its source was clarified in this study by using GIS, which will be applicable to the effective management of groundwater quality.     

加速遗传算法及其在暴雨强度公式参数优化中的应用

提出了一般非线性自然灾害模型参数优化的一种通用的数值方法———加速遗传算法,分析了该算法控制参数的优化特性,总结出了这些参数的简便设置技术,并给出了它在暴雨强度公式参数优化中的应用实例。该方法可广泛应用于各种自然灾害模型的优化问题。     

REGRESSION MODELS OF HERBICIDE CONCENTRATIONS IN OUTFLOW FROM RESERVOIRS IN THE MIDWESTERN USA, 1992–19931

ABSTRACT: Reservoirs are used to store water for public water supply, flood control, irrigation, recreation, hydropower, and wildlife habitat, but also often store undesirable substances such as herbicides. The outflow from 76 reservoirs in the midwestern USA, was sampled four times in 1992 and four times in 1993. At least one herbicide was detected in 82.6 percent of all samples, and atrazine was detected in 82.1 percent of all samples. Herbicide properties; topography, land use, herbicide use, and soil type in the contributing drainage area; residence time of water in reservoirs; and timing of inflow, release, and rainfall all can affect the concentration of herbicides in reservoirs. A GIS was used to quantify characteristics of land use, agricultural chemical use, climatic conditions, topographic character, and soil type by reservoir drainage basins. Multiple linear and logistic regression equations were used to model mean herbicide concentrations in reservoir outflow as a function of these characteristics. Results demonstrate a strong association between mean herbicide concentrations in reservoir outflow and herbicide use rates within associated drainage basins. Results also demonstrate the importance of including soils and basin hydrologic characteristics in models used to estimate mean herbicide concentrations.     

A PRELIMINARY ANALYSIS OF ANIMAL MANURE DISTRIBUTION IN MICHIGAN FOR NUTRIENT UTILIZATION1

ABSTRACT: Proper management of animal manure is crucial to the viability of the U.S. animal industry and the quality of the environment. This paper analyzes the animal manure distribution in Michigan, identifies counties with high potential for land application of manure nutrients, and proposes a manure distribution prototype model for transporting surplus manure beyond individual farms for nutrient utilization. Tabulations of animal numbers by county and by 5-digit zip code are used to identify areas with greater potential for land application of manure nutrients. Distribution of the manure nutrients from surplus areas to the nutrient utilization areas is explored in a selected watershed by taking into account manure nutrient value, soil nutrient content, crop nutrient needs, topography and hydrography. The results indicate that by appropriate planning and collaboration transport of the excessive animal manure to suitable crop fields is an appealing alternative to utilize the manure nutrients while minimizing the adverse environmental impact. Further studies are needed to determine the necessary economic and institutional programs to implement the export of the manure at the regional level.     

ECONOMIC EVALUATION OF RIPARIAN BUFFERS IN AN AGRICULTURAL WATERSHED1

ABSTRACT: This study determines the most cost effective spatial pattern of farming systems for improving water quality and evaluates the economic value of riparian buffers in reducing agricultural nonpoint source pollution in a Midwestern agricultural watershed. Economic and water quality impacts of alternative farming systems are evaluated using the CARE and SWAT models, respectively. The water quality benefits of riparian buffers are estimated by combining experimental data and simulated water quality impacts of fanning systems obtained using SWAT. The net economic value of riparian buffers in improving water quality is estimated by total watershed net return with riparian buffers minus total watershed net return without riparian buffers minus the opportunity cost of riparian buffers. Exclusive of maintenance cost, the net economic value of riparian buffers in reducing atrazine concentration from 45 to 24 ppb is $612,117 and the savings in government cost is $631,710. Results strongly support efforts that encourage farmers to develop or maintain riparian buffers adjacent to streams.     

长江口湿地景观镶嵌结构演变的数量特征与分形分析

鉴于国内湿地研究对象大多为块状湿地。而对狭长形湿地鲜有研究，本文利用1990年和2003年遥感影像作为基本信息源。在GIS技术支持下。选取长江口狭长湿地，建立长江口湿地植被空间数据库。选取斑块大小、分维数、景观破碎度、景观多样性和优势度等指标，研究区域景观的数量特征动态变化；运用分形理论建立各种景观类型形态的分形结构模型，以分维数为依据分析各种景观形态的复杂性；探讨控制和影响区域景观格局的主要因素。结果显示，1990—2003年期间，在自然与人为双重因素作用下该地区的湿地景观发生了显著变化，景观趋于破碎化。植物群落的演替由于人为的原因加速，一些地区景观呈自然变化趋势。一些地区由于围垦的原因。人为扰动大。呈现衰退趋势。     

在环境地学研究中应用GIS急需解决的问题分析

地理信息系统已经成为环境地学的常用工具，但主要被用来存储和显示地图，没有发挥其应有的功能。本文认为多源空间数据集成、空间数据分析和挖掘队及模型集成等是其中三个最主要问题。多源环境数据集成是基础，空间分析是连接多源数据集成与模型集成的桥梁和纽带，数据通过这个桥梁传输给模型，模型对环境系统进行模拟和仿真。这些问题的解决有利于更好地在环境地学中应用地理信息系统。     

GPS/GSM/GIS海上溢油跟踪监测系统的研究

在车载GPS监控系统的基础E研究开发了一种漂浮移动性能与溢油相似的、并具有GPS接收和发送功能的GPS浮标。在溢油事故发生后立即将其投放存厚油膜层中随油膜一起漂移。监测中心通过GSM移动通信网实时接收GPS浮标发出的定位信息，并应用地理信息系统技术实现对溢油位置、漂移速度、轨迹、方向的实时跟踪和信息显示．从而为溢油应急指挥提供一种准确实时、成本低廉、全天候的溢油全程监测手段。