Mapping land limitations for agricultural land use planning using fuzzy logic approach: a case study for Marinduque Island,Philippines

This study demonstrated the use of fuzzy logic approach in mapping land limitations for agricultural land use planning using publicly available data for the province of Marinduque, Philippines. The paper focused only on the two major crops in the province, coconut, and banana. Based on the results, slope is the major factor limiting the production of these two crops. Slope is identified as a limitation in approximately 80% and 18% of the agricultural land of the province for coconut and banana production, respectively. Other land limitations for coconut production in the province include rainfall, soil, and combination of these factors with slope. In the case of banana, soil and combination of this factor with slope were identified as land limitations.

     

从土地利用规划入手提高地质灾害的防治水平——兼议地质灾害风险区划的急迫性与重要性

国际减灾战略已从场地尺度工程性"硬"措施转向区域土地规划限制等"软"措施,即通过土地利用规划手段来限制土地开发行为,这是防范地质灾害最有效的手段.从土地利用规划和土地审批的法律地位、地质灾害填图与区划的公益性基础工作和实施地质灾害风险带土地开发限制管理等方面介绍了国际经验,并提出中国开展土地利用规划预防地质灾害的具体建议.     

从土地利用规划入手提高地质灾害的防治水平——兼议地质灾害风险区划的急迫性与重要性

国际减灾战略已从场地尺度工程性“硬”措施转向区域土地规划限制等“软”措施,即通过土地利用规划手段来限制土地开发行为,这是防范地质灾害最有效的手段。从土地利用规划和土地审批的法律地位、地质灾害填图与区划的公益性基础工作和实施地质灾害风险带土地开发限制管理等方面介绍了国际经验,并提出中国开展土地利用规划预防地质灾害的具体建议。     

从土地利用规划入手提高地质灾害的防治水平——兼议地质灾害风险区划的急迫性与重要性

国际减灾战略已从场地尺度工程性“硬”措施转向区域土地规划限制等“软”措施,即通过土地利用规划手段来限制土地开发行为,这是防范地质灾害最有效的手段。从土地利用规划和土地审批的法律地位、地质灾害填图与区划的公益性基础工作和实施地质灾害风险带土地开发限制管理等方面介绍了国际经验,并提出中国开展土地利用规划预防地质灾害的具体建议。     

国土空间规划编制视角下的国土空间用途管制体系研究

为明确国土空间用途管制体系,解决国土空间用途管制对象错位、行政部门间管控范围越位、规划落地实施缺位等问题,本研究构建了由指标、分区、地类和控制线等管控方式组成的国土空间用途管制体系。结合浙江省国土空间规划编制经验,系统梳理了适合当下国土空间规划编制的土地用途管控理论体系,深化了浙江省国土空间用途管制传导细则,并图示化各管制措施之间的编制逻辑关系,演绎了管控体系的实践操作逻辑,以期为国土空间规划编制提供技术依据。     

A method for na-tech risk assessment as supporting tool for land use planning mitigation strategies

Hazardous industrial sites have always represented a threat for the community often provoking major accidents overcoming the boundaries of the plants and affecting the surrounding urban areas. If the industrial sites are located in natural hazard-prone areas, technological accidents may be triggered by natural events, generating so-called na-tech events which may modify and increase the impact and the overall damage in the areas around them. Nevertheless, natural and technological hazards are still treated as two separate issues, and up to now the methods for na-tech risk assessment have been developed mainly for specific natural hazards, generally restricted to some plant typologies and to the area of the plant itself. Based on a review of the current na-tech literature, this article illustrates a risk assessment method as a supporting tool for land use planning strategies aimed at reducing na-tech risk in urban areas. More specifically, a multi attribute decision-making method, combined with fuzzy techniques, has been developed. The method allows planners to take into account, according to different territorial units, all the individual na-tech risk factors, measured through both quantitative and qualitative parameters, while providing them with a na-tech risk index, useful to rank the territorial units and to single out the priority intervention areas. The method is designed to process information generally available about hazardous plants (safety reports), natural hazards (hazard maps) and features of urban systems mainly influencing their exposure and vulnerability to na-tech events (common statistical territorial data). Furthermore, the method implemented into a GIS framework should easily provide planners with comparable maps to figure out the hazard factors and the main territorial features influencing the exposure and vulnerability of urban systems to na-tech events. The method has been tested on a middle-sized Municipality in the Campania Region, identified as 2nd class seismic zone, according to the Ordinance 3274/2003, in which a LPG storage plant, classified as a plant with major accident potential by the Seveso II Directive (art. 9), is located just within the city core.     

Rockfall susceptibility zoning at a large scale: From geomorphological inventory to preliminary land use planning

Rockfall, up to several hundreds of cubic meters, is a frequent and rapid landslide which menaces extensive areas in mountainous territories. Rockfall susceptibility zoning map at a large scale (1:5000–1:25 000) can be the first tool for land use planning in order to manage rockfall risk. A methodology allowing to analyze susceptibility in extensive areas with optimum cost/benefit relationship is needed. This work analyzes rockfall susceptibility in an extensive rocky mountain of the Principality of Andorra (Pyrenees Mountains), first on the rock slope and then on the exposed area located below. The rockfall record, obtained by means of geomorphological analysis, supplies the main data to analyze the susceptibility on the rock slope. An additional historical inventory verifies the accuracy of rockfall sizes recorded by means of the geomorphological analysis. According to the classification recommended by the Guidelines of Joint Technical Committee, the density of rockfall features on the rock slope assesses susceptibility in four levels. Subsequently, susceptibility on exposed areas has been analyzed by means of reach probability of rock blocks analysis using empirical models. Data acquired from thirteen recent events, from 1999 to 2004, have been used to verify the accuracy of the two empirical models mainly used (reach angle and shadow angle). Five reach probability limits (1, 0.5, 0.25, 0.01, and 0) establish boundaries between susceptibility levels. The resulting rockfall susceptibility zoning map allows: (a) to identify land areas and human elements exposed to rockfalls and, (b) to establish several exposition levels. This map can be a useful and cost-effective tool for administrations responsible to manage natural risk in order to guide urban grow in extensive areas or decide upon work programs based on in-depth analysis (hazard and risk).     

Watershed prioritization using morphometric and land use/land cover parameters: A remote sensing and GIS based approach

Jaggar watershed is a constituent of the Gambhir river basin, in eastern Rajasthan and covers an area of 352.82 km², representing arid climate. The drainage network is dendritic to sub-dendritic pattern however parallel to sub-parallel has also developed locally. The Jaggar watershed has been divided into fourteen sub-watersheds, designated as SW1 to SW14, for prioritization purpose. The prioritization of the sub-watersheds has been done on the basis of morphometric analysis and land use/land cover categories. Various morphometric parameters (linear and shape) have been determined for each sub-watershed and assigned rank on the basis of value/relationship with erodibility so as to arrive at a compound value for final ranking of the sub-watersheds. Land use/land cover mapping has been carried out using IRS LISS III data of 1998. Based on morphometric and land use/land cover analysis and their ranks, the subwatersheds have been classified into four categories as very high, high, medium and low in terms of priority for conservation and management of natural resources. The prioritization results based on morphometry reveal that only SW7 and SW10 fall under very high priority, whereas SW6, SW11 and SW13 fall under very high priority on the basis of land use/land cover analysis. However on the integration of morphometry and land use/land cover only SW14 show common priority whereas rest have little or no correlation.     

Relating environmental quality to slopeland residential development by using an empirical land use modeling approach

The purpose of this study is to formulate a method to improve slopeland's environment through better use of land. It first analyses the relationship between land use factors and environment criteria. Then, using the slope land uses in the Taipei urban fringe as a case study to illustrate this relationship. The third step is to form an improved land use scheme through an empirical modeling process. The process proves useful in providing guidance for various local and regional land use planning applications, including the formulation of a slopeland residential land use scheme in Taipei, which helps to improve slopeland environment around Taipei basin.Paper presented at the 28th annual meeting of Western Regional Science Association, February 24–28, 1988, Silverado, California.     

新一轮土地利用总体规划实施评价研究

为了解新一轮土地利用总体规划实施情况,本文以湖北省竹溪县汇湾乡土地利用总体规划为例,运用特尔菲法、多目标线性加权求和法结合相关文件要求构建了土地利用总体规划评估指标体系。通过实证研究发现,汇湾乡除城乡建设用地、水利交通特殊用地以及建设用地总规模这三个指标执行情况不理想外,其他各项指标任务满足要求,规划执行效果较好。在此基础上提出了针对性的对策建议。     

The importance of applied Quaternary geology for planning of land use and natural resources

Book reviewed in this article:
De Mulder, F. J. & Hageman, B. P. (eds.) 1989: Applied Quaternary Research     

Enhancing the credibility of ecology: Is interdisciplinary research for land use planning useful?

Interdisciplinary approaches involving inputs from both the natural and social sciences represent one operational and social response to the complexity of today's environmental and land use problems. The resulting amalgam can be useful to both science and society, given the right mix of ingredients. Important steps in the planning and conduct of interdisciplinary research include problem indentification; definition of a precise scientific theme derived from the social demand; choice of relevant disciplines; selection of study area and spatial scale; ensuring that the project is adaptable to changing circumstances; obtaining the involvement of scientists, planners and local people; developing a continuum of actions from basic and applied research through to training and information diffusion; early and explicit definition of the criteria for evaluation. Though interdisciplinary approaches have shown their worth, they founder easily. Obstacles include the behavioural and psychological characteristics of individual scientists, differences in scientific method, and bottlenecks of a more administrative, institutional, political and financial nature.The views expressed are those of the authors and not necessarily those of the authors' employers.     

日本土地集约利用的主要形成机制

土地集约利用是资源紧约束背景下城乡发展的必然选择。运用文献研究和规范分析方法,总结日本土地集约利用的经验,揭示其主要形成机制。研究结果显示:日本土地集约利用的主要形成机制包括七个方面:综合配套的多层次法律法规体系及其监管机制;长短结合的国土综合规划和专项开发计划,刚柔相济的用途管制和空间管制体系及其动态调整机制;"社会公共利益优先"理念及其供地优先保障机制;协调一致的主体责任意识及其互动运作机制;领先的循环型城市和集约型城市建设及其实践推广机制;紧凑的都市圈发展模式及其分工协作机制;多功能性强和附加值高的都市农业开发机制。适当借鉴日本经验,进一步完善作用机制,有助于提升我国城乡土地集约利用水平。     

Land use change increases flood hazard: a multi-modelling approach to assess change in flood characteristics driven by socio-economic land use change scenarios

Natural Hazards - We analysed in the work how change in land use/land cover influences on flood characteristics (frequency and magnitude) using a model inter-comparison approach, statistical...     

Urban land use transformation and determinants of urban land use size in China

Astract Recent economic reforms and shifts in land use planning in China have greatly changed the size and structure of urban land use. In this paper, an overview of the problems in urban land use and the impacts of economic reforms and planning policies on rapid urban land expansion and structural transformation is outlined. This is followed by statistical analyses to reveal determinants of urban land size. The study shows that urban land use in China has been improved, and urban land use size is related to urban reforms, urban land use adjustment, as well as to population growth and economic development.     

An integrated object-based image analysis and CA-Markov model approach for modeling land use/land cover trends in the Sarab plain

The present paper is an attempt to integrate a semi-automated object-based image analysis (OBIA) classification framework and a cellular automata-Markov model to study land use/land cover (LULC) changes. Land use maps for the Sarab plain in Iran for the years 2000, 2006, and 2014 were created from Landsat satellite data, by applying an OBIA classification using the normalized difference vegetation index, salinity index, moisture stress index, soil-adjusted vegetation index, and elevation and slope indicators. The classifications yielded overall accuracies of 91, 93, and 94% for 2000, 2006, and 2014, respectively. Finally, using the transition matrix, the spatial distribution of land use was simulated for 2020. The results of the study revealed that the number of orchards with irrigated agriculture and dry-farm agriculture in the Sarab plain is increasing, while the amount of bare land is decreasing. The results of this research are of great importance for regional authorities and decision makers in strategic land use planning.     

Forecasting future changes in Manzala Lake surface area by considering variations in land use and land cover using remote sensing approach

This study assesses the changes in surface area of Manzala Lake, the largest coastal lake in Egypt, with respect to changes in land use and land cover based on a multi-temporal classification process. A regression model is provided to predict the temporal changes in the different detected classes and to assess the sustainability of the lake waterbody. Remote sensing is an effective method for detecting the impact of anthropogenic activities on the surface area of a lagoon such as Manzala Lake. The techniques used in this study include unsupervised classification, Mahalanobis distance supervised classification, minimum distance supervised classification, maximum likelihood supervised classification, and normalized difference water index. Data extracted from satellite images are used to predict the future temporal change in each class, using a statistical regression model and considering calibration, validation, and prediction phases. It was found that the maximum likelihood classification technique has the highest overall accuracy of 93.33%. This technique is selected to observe the changes in the surface area of the lake for the period from 1984 to 2015. Study results show that the waterbody surface area of the lake declined by 46% and the area of floating vegetation, islands, and land agriculture increased by 153.52, 42.86, and 42.35% respectively during the study period. Linear regression model prediction indicates that the waterbody surface area of the lake will decrease by 25.24% during the period from 2015 to 2030, which reflects the negative impact of human activities on lake sustainability represented by a severe reduction of the waterbody area.     

Correction to: A novel methodological approach for land subsidence prediction through data assimilation techniques

Computational Geosciences - A Correction to this paper has been published: https://doi.org/10.1007/s10596-021-10079-6