基于GIS的区域土壤侵蚀模型设计

区域土壤侵蚀模型是国家和区域土壤侵蚀调查、水土保持宏观规划的支持工具。借鉴国外区域土壤侵蚀模型,以DEM栅格为空间单元,对区域土壤侵蚀的单元模型进行定量表达,包括降雨、植被截留、入渗,微地形填洼等,并利用GIS功能完成径流传递和汇集部分的计算,建立了区域土壤侵蚀模型。所建立模型在延河流域的试运算,结果接近现实,能反映土壤侵蚀时空分布趋势。模型的建立可为水土保持的宏观决策提供支持。

浅析水土保持与防洪抗灾的基本决策

1991、 1996、 1997和 1998年的几次洪灾 ,造成了 6171亿元的直接经济损失。除气象因素外 ,水土流失是引发洪灾的一个极为主要的因素。加强领导 ,强化管理 ,加大执法力度 ,加强防洪工程建设 ,坚持综合治理 ,良化生态环境 ,搞好小流域治理是保持水土、治理江河的根本措施

中国西部退耕还林基本策略研究

21世纪,生态危机成为人类面临的最大威胁,森林作为陆地生态系统的主体,自然成为世人瞩目的集点.由于中国西部水土流失、土地沙化、水资源紧张、生物多样性锐减等问题越来越突出,给人民的生活与国民经济发展造成巨大损失.退耕还林成为中华民族生存与发展的根本大计,这不仅关系到当代人的生存与发展,而且关系到子孙后代的生存与发展.文章在上述背景下,提出了符合中国实际的对策,供决策部门参考.

区域尺度侵蚀产沙估算方法研究

区域土壤侵蚀模型是大区域土壤侵蚀普查和水土保持宏观决策的支持工具,土壤侵蚀模型的研发是土壤侵蚀学科的前沿领域。基于DEM将区域划分为规则网格,设计产流、产沙过程的单元模型,包括植被截留、入渗、填洼、流速、携沙能力、径流剥蚀量、泥沙沉积等算法。将月降水当作1次降雨事件,并划分若干时段进行迭代计算,利用GIS空间分析功能完成水沙汇集运算,并在ArcGIS支持下进行计算机程序设计,有效地完成了区域侵蚀产沙量的计算。将模型应用于延河流域得到:1995年7月份平均径流深为35.6 mm,径流系数为0.237,流域出口径流量为2.72亿m3,流域出口输沙量为0.38亿t,流域平均侵蚀模数为4575 t/(km2.月);输出图形空间格局和结构符合实际情况,初步模拟结果令人较满意。

我国区域土壤侵蚀与环境研究述评

区域土壤侵蚀与环境研究,是在比较大的中间尺度和较长的时间尺度上,对土壤侵蚀发生发展过程、土壤侵蚀因子、土壤侵蚀定量评价方法,以及土壤侵蚀治理对环境的影响进行研究的科学与技术体系。该领域的研究,即能直接为国家水土保持宏观决策提供支持,又能揭示土壤侵蚀的宏观规律,并于全球变化研究相联系。我国在该领域的研究主要概括四个方面,包括:①区域土壤侵蚀因子研究,是为认识土壤侵蚀环境特征和进行土壤侵蚀定量评价的基础,②区域土壤侵蚀评价研究,包括调查制图、定性评价和定量评价等,是该研究服务于水土保持实践的基本途径;③水土保持的环境效应研究,是从另外一个视角对土壤侵蚀环境与水土流失及其治理关系的认识。是确切评估水土保持效益,保证水土保持工作健康持续稳定发展的基础。今后应尽快开发区域水土流失定量评价模型,并在区域尺度上对环境效应的方式、范围、程度和发展趋势做出综合计价和分析预测。

乡镇级人口统计数据空间化研究

Population data which collected and saved according to administrative region is a kind of statistical data. As a traditional method of spatial data expression, average distribution in every administrative region brings population data on a low spatial and temporal precision. Now, an accurate population data with high spatial resolution is becoming more and more important in regional planning, environment protection, policy making and rural-urban development. Spatial distribution of population data is becoming more important in GIS study area. In this article, the author reviewed the progress of research on spatial distribution of population. Under the support of GIS, correlative geographical theories and Grid data model, Remote Sensing data, terrain data, traffic data, river data, resident data, and social economic statistic were applied to calculate the spatial distribution of population in Fujian province, which includes following parts: (1) Simulating of boundary at township level. Based on access cost index, land use data, traffic data, river data, DEM, and correlative social economic statistic data, the access cost surface in study area was constructed. Supported by the lowest cost path query and weighted Voronoi diagram, DVT model (Demarcation of Villages and Towns) was established to simulate the boundary at township level in Fujian province. (2) Modeling of population spatial distribution. Based on the knowledge in geography, seven impact factors, such as land use, altitude, slope, residential area, railway, road, and river were chosen as the parameters in this study. Under the support of GIS, the relations of population distribution to these impact factors were analyzed quantificationally, and the coefficients of population density on pixel scale were calculated. Last, the model of population spatial distribution at township level was established through multiplicative fusion of population density coefficients and simulated boundary of towns. (3) Error test and analysis of population spatial distribution base on modeling. The author not only analyzed the numerical character of modeling error, but also its spatial distribution. The reasons of error were discussed.

公共政策制定程序对政策可接受性的影响

This research addresses the problems of public policy-making procedures. In conducting our research, we considered public policy as the allocation or reallocation of interests or resources among different members of the public. Due to limited resources, administrations should trade off all interests among different segments of society when formulating a policy. Unfortunately, in recent years there have been several mass conflicts with administration of public policy. This infers that some people’s interests were ignored or harmed by certain policies. According to the theory of procedural justice, people may accept the unexpected result if they consider the procedure is just. This research hypothesizes that there are certain problems in current policy-making procedures and that improving these procedures may make policies more acceptable. A pilot study was conducted by interviewing ten scholars from a range of disciplines. The interview record transcripts were coded by three analysts. The results indicate that: 1) Most of the scholars criticized current public policies as lacking sensitivity to public issues; 2) Most of them considered that current public policies do not resolve problems effectively; and 3) They all considered that psychology research may enhance awareness of public issues and improve the effectiveness of policy. In study 2, the procedure of public policy was tracked and compared with a social survey. The Beijing government would like to increase the taxi fare rate to cope with the rising price of petroleum. Although the majority of delegates in a hearing of witnesses supported the policy consideration, the social survey of 186 residents and 63 taxi drivers indicated that both of them oppose the consideration. The findings indicate that the hearing of witnesses was not able to delegate the opinions of the public, resulting in the policy failing to resolve the problem. Study 3 was a nonequivalent control group quasi-experiment. Visitors of two Internet Website were chosen as subjects for original photo games. For the experiment group, visitors were invited to express their desires and suggestions on the game rules for one week, and then declare rules referencing the suggestions before starting the game. Meanwhile, the control group simply declared the rules at the beginning of the game. Compared with the two games during 23 days, the experiment group submitted more photos than the control group. The results of this research imply that, the good will of policy makers is not enough to make a policy effective. Surveys on public attitudes at the beginning of the policy-making process can allow policy makers to better determine public issues, assess the tradeoff of public interests, help ensure policies are more acceptable, and help foster a harmonious society. The authors of this research suggest that psychology research should take more social level problems into account in the policy-making process.