Spatial based compromise programming for multiple criteria decision making in land use planning

Today, competing land use is continuing to occur in many developed regions. In the Agricultural Development Zone of Western Sydney Region, which is characterised by complex landscape patterns, land use competition is widespread. From a land use planning perspective, identification of suitable locations for a given type of land use is necessary for decision makers to formulate land use alternatives in different locations, based on existing land potential and constraints. For such a region, use of a simple method that implements a categorical system and considers only inherent land characteristics in the analysis is often inadequate to arrive at an optimal spatial decision. The primary aim of this paper is to develop spatial modelling procedures for agricultural land suitability analysis using compromise programming (CoPr) and fuzzy set approach within a geographical information systems (GIS) environment. Five main sets of spatial data for use as decision criteria were developed by using fuzzy set methodology: a land suitability index (LSI) for maximising the land productivity objective; an erosion tolerance index (ETI) for minimising the erosion risk objective; a runoff curve number (CN) for maximising the water discharge regulation objective; an accessibility (RP) measure for maximising the land accessibility objective; and the proximity to water body (WP) for minimising the water pollution objective. An L _p -metric was used in the analysis utilising different strategies with representative indices ranging from a situation where full tradeoff among criteria occurs to a noncompensatory condition. Different weighting combinations were also applied, and decision analysis was carried out by using values ranging from 0 to 1.0, where 1.0 is considered as an ideal point. The CoPr model demonstrated in this paper yielded a promising result, as several different techniques of sensitivity analysis show reasonably good results. Likewise, an overlay of that result with the present land use/land cover indicates a good corresponding spatial matching between existing land use (orchard and cultivated land), and the cells (land parcels) classified as the best in CoPr. The results are amenable to various map display techniques, either using continuous values or by defining different cut off points in the data space within a raster GIS environment.     

Spatial Relationships Between Water Quality and Pesticide Application Rates in Agricultural Watersheds

Pesticide applications to agricultural lands in California, USA, are reported to a central data base, while data on water and sediment quality are collected by a number of monitoring programs. Data from both sources are geo-referenced, allowing spatial analysis of relationships between pesticide application rates and the chemical and biological condition of water bodies. This study collected data from 12 watersheds, selected to represent a range of pesticide usage. Water quality parameters were measured during six surveys of stream sites receiving runoff from the selected watershed areas. This study had three objectives: to evaluate the usefulness of pesticide application data in selecting regional monitoring sites, to provide information for generating and testing hypotheses about pesticide fate and effects, and to determine whether in-stream nitrate concentration was a useful surrogate indicator for regional monitoring of toxic substances. Significant correlations were observed between pesticide application rates and in-stream pesticide concentrations (p < 0.05) and toxicity (p < 0.10). In-stream nitrate concentrations were not significantly correlated with either the amount of pesticides applied, in-stream pesticide concentrations, or in-stream toxicity (all p > 0.30). Neither total watershed area nor the area in which pesticide usage was reported correlated significantly with the amount of pesticides applied, in-stream pesticide concentrations, or in-stream toxicity (all p > 0.14). In-stream pesticide concentrations and effects were more closely related to the intensity of pesticide use than to the area under cultivation.     

玉溪市中心城区土地利用布局及其优化研究

本文系统分析了玉溪市中心城区土地利用强度、土地利用效率、土地利用结构的现状 ,研究了玉溪市中心城区土地利用优化对策 ,探索在城市总体布局中 ,如何充分利用地形特点 ,从可持续发展的角度出发 ,创造舒适宜人的城市生态环境空间。     

兖州矿区采煤塌陷地状况与综合治理途径研究

通过对兖州矿区采煤塌陷地状况进行现状分析和趋势预测,结果表明,至2000年底,已累计塌陷土地5389.40hm2;预计到21世纪中叶,兖州、济东2个煤田最终将形成两个塌陷中心,面积达4.4×104hm2。这不仅使大面积农田被毁,造成生态失衡,而且给当地工农业生产以及社会和生态环境等方面带来一系列严重问题,应该彻底进行采煤塌陷地的综合治理。据此,根据矿区工农业持续协调发展的需要,从宏观和微观的角度,全方位提出了采煤塌陷地的综合治理途径。     

东北平原西部沙地的气候变异与土地荒漠化

东北平原西部沙地位于欧亚大陆中纬度巨型沙带的东部边缘 ,为我国荒漠化土地的东缘。随着经济的发展 ,生态环境遭到严重破坏 ,荒漠化景观日益明显 ,前景令人堪忧。气候因素是荒漠化发展的一个基本因素 ,东北平原西部沙地是我国北方气候条件最好的沙区 ,但目前对于区域荒漠化驱动因子的气候因素影响方面的研究未开展系统的工作。论文系统分析了东北平原西部沙地影响荒漠化的现代气候因素特点 ,探讨了在较好气候条件下气候变异、人类活动与荒漠化之间的关系 ,并根据气候发展趋势预测了未来在自然因素作用下沙地的可能发展趋势。     

黄土残塬沟壑区土地开发适宜性评价方法研究

以发展经济为准绳，利用生物措施，开发土地资源，是有效地控制和改善黄土残塬沟壑区日益恶化的生态环境的根本保证。本文针对如何合理地利用农作物、果树、林木和牧草开发土地资源问题，提出了土地开发的适宜性评价方法，并以土地调查的小斑为单元，选用了原土地利用类型、坡度、坡向和海拔高程４个指标，对地处这一地区且作为国家＂八五＂重点攻关项目的隰县试验区的土地开发适宜性进行了评价，经初步开发实施，已收到了显著效果。     

横断山区干旱河谷土地合理开发

横断山区干旱河谷热量丰富、降水偏少,农事旱象较著,但拥有众多宜农、宜林土地资源,尤宜生长亚热带与温带经济林果。目前,不合理耕樵坡地,已有严重水土流失,土地趋退化,河谷生态不稳定,经济生态效益不良。发展灌溉,提高集约耕种水平和逐步退耕陡坡地,扩大经济林果用地及保护与改造谷地现状植被等是提高当地人民生活水平、改善与保护干旱河谷以至整个横断山区生态环境的重要措施与战略治理方针。     

我国东部矿区土地复垦规划设计要点

结合我国多个东部矿区土地复垦工程实践,分析了东部矿区土地破坏的特点及优势,指出在复垦规划中的几个关键技术问题。     

观音坪电站工程评价区景观格局预测分析

以湖北省宣恩县酉水流域观音坪水电工程生态完整性评价报告为基础,采用卫星遥感图片分析,运用GIS技术,完成土地利用结构和景观格局图。通过对工程建成前后各种土地类型的优势度值的变化分析得出:工程建设中会造成林草地减少约3.45hm2,优势度由原来的58.30%下降到57.41%,仅下降0.89%;林地和耕地也分别减少约7.20 hm2和0.84 hm2,优势度下降3.87%和1.92%;而水域增加10.82 hm2,优势度上升1.73%,但是它们之间的比例关系基本与工程建设前的比例相当,草地仍然是景观生态体系中的模地。工程建设后当地景观生态体系不会有很大变化。     

露天煤矿的土地复垦

本文论术字露天煤矿土地复垦的现状，着重了矿区土地地复垦规划，提出了一个土地复垦规划的模型，并且对复垦方向的选择和复垦控制进行了初步的探讨。