共查询到19条相似文献，搜索用时 769 毫秒
1.
太湖流域LUCC对水文过程的影响 总被引：1，自引：1，他引：0
基于1971年枯水年、1989年丰水年、2000年平水年3类典型代表年的逐日降雨量、逐日蒸发量以及不同时期地表覆盖遥感分类数据,以城市化快速发展地表覆盖变化明显的太湖流域为研究区域,利用太湖流域河网水量模型进行了土地利用/覆被变化的水文响应研究,分析了太湖流域1990 2000年与2000 2006年间的土地利用/覆被变化及其对水位过程的影响.不仅有利于对城市化地区水文特征变化规律深入了解,也为典型城市化地区防洪减灾提供科学可靠的依据.研究表明,太湖流域城镇化进程的加快引起了土地利用/覆被变化的主要表现是水田、水域等面积向城镇面积转化,城镇化进程加快,2000 2006年期间的城镇化速度大于1990 2000年间;下垫面的变化对太湖流域水文过程产生了明显的影响,随着城市化进程地表覆盖的变化,水位有整体升高的趋势,并且增幅加大,与城镇化速率变化趋势相一致,城镇化程度高的地方水位上升更为明显;降雨量也是水位过程的影响因素之一. 相似文献
2.
中国地表气温变化对土地利用/覆被类型的敏感性 总被引：8，自引：0，他引：8
利用观测气温与再分析气温的差值分析了近40年中国地表气温变化对土地利用/覆被类型的敏感性.结果表明：土地利用/覆被类型对地表气温变化具有稳定的、系统性的影响,在全球变暖背景下各类型的响应不同,以沙地、戈壁和裸岩石砾地为主的未利用地升温幅度最大,为0.21℃/10a;其次是草地、耕地和城乡、工矿、居民用地,分别为0.12,0.10,0.12℃/10a;林地升温趋势最弱,为0.06℃/10a.总体来看,沙地、戈壁等未利用地和人类活动较多的区域地表升温幅度大,植被覆盖状况好的区域升温趋势则较弱;同一一级类型下理化特性及生物过程相似的二级类型对地表气温的影响程度相近,土地利用/覆被类型的变化需要达到一定的强度,导致地表特性发生本质改变后才会对局地气温产生较明显的影响;同一土地利用/覆被类型下,中国东部人类活动强度大的区域升温更为明显.这一结果为众多土地利用/覆被变化对气候影响的数值模拟试验研究提供了观测事实的支持.在区域尺度上预测未来中国气候变化不仅要考虑温室气体增加的影响,还要考虑土地利用/覆被类型及其变化的影响. 相似文献
3.
中国近期土地利用变化的空间格局分析 总被引：236，自引：11，他引：236
在全球环境变化研究中, 土地利用和土地覆被动态越来越被认为是一个关键而迫切的研究课题. 依据覆盖中国1990年代末期5 a时间间隔的陆地卫星数据资料, 研究了土地利用变化的特征和空间分布规律. 依据土地利用动态度的概念, 在1 km格网土地利用变化数据基础上, 根据区域近期土地利用动态特点与社会、自然环境综合特 征, 设计了全国土地利用动态区划图, 揭示了土地利用变化过程的空间格局. 总体上, 传统农作区(包括黄淮海平原、长江三角洲地区和四川盆地等)城镇居民建设用地的扩张侵占了大面积的耕地, 而北方农牧交错带与西北绿洲农业区由于生产条件、经济利益和气候变化等方面的原因, 耕地开垦现象最为突出. 国家退耕还林还草政策的实施效果在局部地区有所体现, 但截至2000年, 尚未对土地覆被变化产生区域性的影响, 此5 a期间森林砍伐现象依然比较严峻. 本项研究, 实现了中国现代土地利用动态区域单元的划分, 揭示了中国现代土地利用变化的时间-空间属性并为其特征分析提供了区域格局框架. 该项研究是地理科学对研究对象的“空间格局”与“时间过程”特征进行集成研究, 揭示研究对象“变化过程的格局”, 以及“格局的变化过程”的一次有益的尝试. 相似文献
4.
太湖流域经济发展及其对洪涝的影响 总被引：6，自引：1，他引：5
太湖流域是我国最发达的地区之一,流域社会经济发展迅速,经济总量在全国占重要地位。太湖流域经济发展的特点是：经济发展迅速、城市化规模大、流域内区域差异明显。本文就经济发展所带来的洪涝问题做了分析,具体表现为：经济发展,地区承灾能力下降,洪涝灾害损失加大;土地利用变化,流域产水量增加,改变了洪涝形势;地面下沉影响了防洪工程的效益;圩区建设在发挥巨大的防洪除涝效益的同时,也带来负面效益。 相似文献
5.
太湖流域土地利用变化的水文响应模拟 总被引：4，自引：2，他引：2
以城市化快速发展的太湖流域为研究对象,采用1985、1995和2000年TM/ETM土地利用解译资料,应用区域尺度单元格网分布式水文模型,进行长序列水文模拟,定量评估太湖流域土地利用变化及其水文响应特征,为流域用地规划、水资源管理以及灾害防治提供决策参数.研究显示,自1985年到2000年,太湖流域城镇面积扩展了40.38%,增加量占太湖流域总面积的3.88%.在1980-2000年的雨情下,全流域土地利用变化导致产流量平均增加4.11%,约为7.56×108 m3,最高值为11.76%,约为10.0×108 m3.受土地利用变化空间差异影响,产流量增加具有较大区域差异,城镇快速扩展的苏锡常地区和浦东浦西地区,土地利用变化导致产流量平均增加为10.07%和7.03%,最高增量达20%-30%. 相似文献
6.
太湖流域重污染区主要水污染物总量控制 总被引：9，自引：1，他引：8
太湖流域产业、人口集聚,水环境污染已经成为整个太湖流域经济可持续发展的制约因素之一,为解决经济发展引起的环境问题,对污染物排放实行总量控制至关重要.为此以太湖流域梅梁湾、竺山湾上游集水区域(重污染区)为研究区域,全面调查区域社会经济、产业结构、土地利用以及各类污染源现状,构建重污染区套网格水文、水质数学模型,计算区域水环境容量与污染物削减量,依据水功能区划与水域面积分配到各镇(街道),确定重污染区以镇(街道)级为基本单位的分阶段总量控制目标,制订主要污染物控制与负荷削减综合系统方案,提出2015年各类污染源重点工程措施,方案实施后区域河网水质平均达标率达80%,为太湖流域水环境管理提供技术支撑. 相似文献
7.
流域土地利用/覆被变化的水文效应及洪水响应 总被引：18，自引：1，他引：17
干旱与洪涝灾害已成为全球关心的重大问题.土地利用/覆被变化影响雨水的截留、下渗、蒸发等水文要素及其产汇流过程,并进而影响流域出口断面的流量过程,加大流域洪涝灾害发生的频率和强度.深入研究土地利用/覆被变化对洪涝灾害的影响,对于社会经济可持续发展具重要意义.通过分析和总结已进行的有关流域土地利用/覆被变化的水文效应及洪水响应研究工作进展,讨论了其研究内容、方法及现有工作的不足之处. 相似文献
8.
过去300年中国土地利用、土地覆被变化与碳循环研究 总被引：11，自引：0，他引：11
历史时期的土地利用与土地覆被变化是影响陆地生态系统碳循环的重要因素。过去300年间,我国土地利用与覆被发生了较大变化,林地面积迅速减小,垦殖扩张明显,均对陆地生态系统的碳循环产生了重要的影响。采用通过第一手历史文献资料重建的历史土地数据,分析了过去300年我国土地利用变化的主要特征,研究表明：在研究时段,耕地面积持续增加,从清前期1661年的60.78×10^6hm^2增加到20世纪末的96.09×10^6hm^2;森林面积从1700年的248.13×10^6hm^2降至1949年的109.01×10^6hm^2。受土地利用与覆被变化影响,全国陆地生态系统的碳储量也随之变化。其中,地上植被破坏弓I起的碳排放大约为3.70Pg C;土壤有机碳排放介于0.80-5.84Pg C之间,最适估计为2.48Pg C;植被和土壤变化引发的碳排放总计达4.50-9.54Pg C,最适估算为6.18Pg C。这远小于国外学者估算所得的17.1-33.4Pg C的排放量。碳排放的空间分异明显,由于东北地区和西南地区的植被破坏相对较大,过去300年间这两个地区受土地利用与覆被变化影响的碳排放也较大,其余排放量从大到小依次为内蒙古地区、华南西部地区、新疆和青藏高原区;而作为历史上传统农区的华北地区和华东地区,土地利用与覆被变化对陆地生态系统碳储量影响相对较小。但是近年有关研究显示,目前全国自然植被活动增强,土地利用活动,特别是农林活动正对陆地生态系统碳储量产生比较明显的积极作用。 相似文献
9.
基于植被演替的土地覆被变化研究——大渡河上游的森林采伐、更新和退化 总被引：6，自引：0，他引：6
目前常用的土地覆被分类系统没有反映植被演替过程, 不能与生态调查数据有效整合来分析区域土地覆被变化的环境效应. 文中以大渡河上游地区为例, 在4年野外考察的基础上, 依据植被演替过程对土地覆被进行详细分类, 建立了新的土地覆被分类系统, 并采用多时相数据源, 分别生成3期(1967, 1986, 2000年)土地覆被数据库,为土地利用/覆被变化、环境效应研究和生态建设提供了平台. 结果表明: (1) 土地覆被变化反映了云冷杉林采伐、自然演替和人工更新, 高山栎林和圆柏林在砍伐和放牧干扰下的大面积退化, 草甸退化、干旱河谷草地扩张、耕地撂荒和转变为果园等人为驱动的生态过程. 1967~2000年, 大渡河上游森林面积减少9.43%, 以草甸和草地、原始林和高寒灌丛为主的景观演变为草甸和草地、次生天然林、高寒灌丛、残次原始林、人工林和次生灌丛组成的景观, 景观破碎化程度加剧. (2) 大渡河上游的森林采伐迹地逐步恢复. 31年的森林采伐对象以云冷杉林为主, 其迹地仅6.86%自然演替为灌丛、草甸和草地或被开发为耕地, 其余均更新为人工林或自然演替为次生天然林, 采伐区的生态功能逐步恢复. (3) 在薪材砍伐、木炭烧制和牲畜过度放牧的驱动下, 自然恢复能力弱的高山栎林、圆柏林、亚高山草甸大面积退化,干旱河谷草地扩张, 严重削弱了区域生态屏障功能, 急需解决人为干扰问题并寻找有效的退化植被恢复途径与方法. 由于现有的天然林保护和生态重建措施忽视农牧民基本的生计问题, 要逆转干旱河谷与高山林线的植被覆盖与生态退化趋势, 关键在于帮助农牧民改变生计方式, 减轻或消除干扰压力. 相似文献
10.
北方半干旱区土地利用/覆被变化对湖泊水质的影响:以岱海流域为例(2000—2018年) 总被引：2，自引：0，他引：2
土地利用/覆被变化对明晰气候变化和人类活动对湖泊水环境的影响有重要作用.以北方典型农牧交错的岱海流域为研究对象,基于遥感解译技术、马尔可夫转移矩阵、综合污染指数法等方法,对2000-2018年岱海流域土地利用/覆被和湖泊水质的变化进行分析,并结合冗余分析法和计量分析模型探究长时间序列尺度下土地利用/覆被变化对湖泊水质的影响.结果表明:近20年来,岱海流域的土地利用/覆被类型以耕地和草地为主,其变化特征主要是草地和林地转化为耕地,水域转化为季节性河流,岱海转化为内陆滩涂、沼泽草地和灌丛沼泽;岱海湖泊水质因子高锰酸盐指数、五日生化需氧量、总磷和总氮浓度存在不同程度的超标现象;岱海、湿地、林地对水质具有积极的改善作用,耕地、草地、建设用地是加剧水质污染的主要原因.该研究为岱海湖泊流域土地资源合理利用、湖泊水质改善和生态保护提供了一定的科学理论依据. 相似文献
11.
Fang Xiuqi Zhao Wanyi Zhang Chengpeng Zhang Diyang Wei Xueqiong Qiu Weili Ye Yu 《中国科学:地球科学(英文版)》2020,63(7):1013-1025
Land use-induced land cover change(LUCC) is an important anthropogenic driving force of global change that has influenced, and is still influencing, many aspects of regional and global environments. Accurate historical global land use/cover datasets are essential for a better understanding of the impacts of LUCC on global change. However, there are not only evident inconsistencies in current historical global land use/cover datasets, but inaccuracies in the data in these global dataset revealed by historical record-based reconstructed regional data throughout the world. A focus in historical LUCC and global change research relates to how the accuracy of historical global land cover datasets can be improved. A methodology for assessing the credibility of existing historical global land cover datasets that addresses temporal as well as spatial changes in the amount and distribution of land cover is therefore needed. Theoretically, the credibility of a global land cover dataset could be assessed by comparing similarities or differences in the data according to actual land cover data(the "true value"). However, it is extremely difficult to obtain historical evidence for assessing the credibility of historical global land cover datasets, which cannot be verified through field sampling like contemporary global land cover datasets. We proposed a methodological framework for assessing the credibility of global land cover datasets. Considering the types and characteristics of the available evidence used for assessments,we outlined four methodological approaches:(1) accuracy assessment based on regional quantitative reconstructed land cover data,(2) rationality assessment based on regional historical facts,(3) rationality assessment based on expertise, and(4) likelihood assessment based on the consistency of multiple datasets. These methods were illustrated through five case studies of credibility assessments of historical cropland cover data. This framework can also be applied in assessments of other land cover types, such as forest and grassland. 相似文献
12.
Carbon emissions induced by cropland expansion in Northeast China during the past 300 years 总被引：1，自引：0，他引：1
Assessments of the impacts of land use and land cover changes(LUCC) on the terrestrial carbon budget, atmospheric CO2 concentration, and CO2-related climatic change are important to understand the environmental effects of LUCC and provide information about the effects of historical carbon emissions. Using regional land cover reconstructions from historical records, with a bookkeeping model, we estimated the carbon sink changes caused by historical cropland expansion in Northeast China during the past 300 years. The conclusions are as follows:(1) There was a dramatic land reclamation of cropland during the past 300 years in Northeast China. Approximately 26% of the natural land was cultivated, and 38% of the grassland and 20% of the forest and shrubland were converted to cropland.(2) The carbon emission induced by cropland expansion between 1683 and 1980 was 1.06–2.55 Pg C, and the estimation from the moderate scenario was 1.45 Pg C. The carbon emissions of the soil carbon pool was larger than that from the vegetation carbon pool and comprised more than 2/3 of the total carbon emissions.(3) The carbon emissions of the three provinces in Northeast China were different. Heilongjiang Province had the largest carbon emissions, and Jilin Province had the second largest emissions.(4) The primary source of carbon emissions was forest reclamation(taking 60% of the total emissions in the moderate scenario), the secondary source was grassland cultivation(taking 27%), and the tertiary sources were shrubland and wetland reclamation(taking 13%). Examination on the data accuracy revealed that the high-resolution regional land cover data allowed the carbon budget to be evaluated at the county level and improved the precision of the results. The carbon emission estimation in this study was lower than those in previous studies because of the improved land use data quality and various types of land use change considered. 相似文献
13.
Aerial photographs taken in 1978 and 1987, Landsat TM images in 1998 as well as soil, hydrology and socio-economic data for the oases in Sangong River Watershed were processed by Remote Sensing (RS) and Geographic Information System (GIS). There are two typical agricultural land uses in oases,Farm-based Land Use with large-scale intensified agricultural activities (FLU) and Household Responsibility-based Land Use with small-scale activities (HRLU). The Index Model of Land Use/Land Cover Change (LUCC), Weighted Index Sum (WIS) and logistic stepwise regression model were established to contrast the two typical LUCC processes and their driving forces. The land use patterns were dominated by cropland and grassland for the entire region, and cropland, residential and industrial land were increasing stably. In the HRLU areas, woodland and grassland declined dramatically, but in the FLU areas, grassland decreased only by 12.0%, whereas woodland increased by 13.7%. LUCC was stronger in the earlier stage (1978-1987) than in the later stage (1987-1998) for the entire region. LUCC was more intense in the HRLU areas than in the FLU areas during the entire period (1978-1998). Policy was a key factor in the land use change, and water resources were a precondition in land use. Under the control of policy and water resources,the main human driving factors included population and economy, and the main natural restrictions were soil fertility and groundwater depth. Human driving factors controlled the land change in the HRLU areas, but natural restriction factors dominated in the FLU areas. In the mean time,intensification of LUCC in the region had some spatiotemporal implications with a fluctuation of impact factors. 相似文献
14.
Aerial photographs taken in 1978 and 1987, Landsat TM images in 1998 as well as soil, hydrology and socio-economic data for the oases in Sangong River Watershed were processed by Remote Sensing (RS) and Geographic Information System (GIS). There are two typical agricultural land uses in oases, Farm-based Land Use with large-scale intensified agricultural activities (FLU) and Household Responsibility-based Land Use with small-scale activities (HRLU). The Index Model of Land Use/Land Cover Change (LUCC), Weighted Index Sum (WIS) and logistic stepwise regression model were established to contrast the two typical LUCC processes and their driving forces. The land use patterns were dominated by cropland and grassland for the entire region, and cropland, residential and industrial land were increasing stably. In the HRLU areas, woodland and grassland declined dramatically, but in the FLU areas, grassland decreased only by 12.0%, whereas woodland increased by 13.7%. LUCC was stronger in the earlier stage (1978–1987) than in the later stage (1987–1998) for the entire region. LUCC was more intense in the HRLU areas than in the FLU areas during the entire period (1978–1998). Policy was a key factor in the land use change, and water resources were a precondition in land use. Under the control of policy and water resources, the main human driving factors included population and economy, and the main natural restrictions were soil fertility and groundwater depth. Human driving factors controlled the land change in the HRLU areas, but natural restriction factors dominated in the FLU areas. In the mean time, intensification of LUCC in the region had some spatiotemporal implications with a fluctuation of impact factors. 相似文献
15.
This study aims to quantify the contribution of land use/cover change (LUCC) during the last three decades to climate change conditions in eastern China. The effects of farmland expansion in Northeast China, grassland degradation in Northwest China, and deforestation in South China were simulated using the Weather Research and Forecasting (WRF) model in addition to the latest actual land cover datasets. The simulated results show that when forestland is converted to farmland, the air temperature decreased owing to an increase in surface albedo in Northeast China. The climatic effect of grassland degradation on the Loess Plateau was insignificant because of the negligible difference in albedo between grassland and cropland. In South China, deforestation generally led to a decrease in temperature. Furthermore, the temperature decrease caused by the increase in albedo counteracted the warming effects of the evapotranspiration decrease, so the summer temperature change was not significant in South China. Excluding the effects of urbanization in the North China Plain, the LUCC effects across the entire region of East China presented an overall cooling trend. However, the variation in temperature scale and magnitude was less in summer than that in winter. This result is due mainly to the cooling caused by the increase in albedo offset partly by the increase in temperature caused by the decrease in evaporation in summer. Summer precipitation showed a trend of increasing–decreasing–increasing from southeast to northwest after LUCC, which was induced mainly by the decrease in surface roughness and cyclone circulations appearing northwest of Northeast China, in the middle of the Loess Plateau, and in Yunnan province at 700 hPa after forests were converted into farmland. All results will be instructive for understanding the influence of LUCC on regional climate and future land planning in practice. 相似文献
16.
流域土地利用分区空间管制研究与初步实践——以太湖流域为例 总被引：2，自引：1，他引：1
流域空间开发和土地利用在推动经济社会发展的同时,对流域生态系统的健康和安全造成了剧烈影响,迫切需要在流域综合管理中充实完善土地利用分区与管制等研究内容,因而成为推动湖泊-流域相互作用研究的重要科学问题之一.本文在回顾相关土地利用分区与管制研究基础上,从流域自然地理单元特殊性和管理目标复杂性出发,探讨了流域水陆系统相互作用机制,分析了流域土地利用分区与空间管制的研究重点与基本思路,提出了流域土地利用分区的技术路线及关键方法,并以太湖流域为例进行了初步的实践探索,提出严格保护区、适度发展区、开发利用区和保留发展区四种类型区及其空间管制要求,符合流域资源环境与经济社会发展实际,为流域可持续开发和保护提供指导.最后,讨论了未来流域土地利用分区空间管制需要进一步研究的重点方向与关键问题. 相似文献
17.
Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River,Northwest China 
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下载免费PDF全文 Linshan Yang Qi Feng Zhenliang Yin Xiaohu Wen Jianhua Si Changbin Li Ravinesh C. Deo 《水文研究》2017,31(5):1100-1112
Climate change and land use/cover change (LUCC) are two factors that produce major impacts on hydrological processes. Understanding and quantifying their respective influence is of great importance for water resources management and socioeconomic activities as well as policy and planning for sustainable development. In this study, the Soil and Water Assessment Tool (SWAT) was calibrated and validated in upper stream of the Heihe River in Northwest China. The reliability of the SWAT model was corroborated in terms of the Nash–Sutcliffe efficiency (NSE), the correlation coefficient (R), and the relative bias error (BIAS). The findings proposed a new method employing statistical separation procedures using a physically based modeling system for identifying the individual impacts of climate change and LUCC on hydrology processes, in particular on the aspects of runoff and evapotranspiration (ET). The results confirmed that SWAT was a powerful and accurate model for diagnosis of a key challenge facing the Heihe River Basin. The model assessment metrics, NSE, R, and BIAS, in the data were 0.91%, 0.95%, and 1.14%, respectively, for the calibration period and 0.90%, 0.96%, and ?0.15%, respectively, for the validation period. An assessment of climate change possibility showed that precipitation, runoff, and air temperature exhibited upward trends with a rate of 15.7 mm, 6.1 mm, and 0.38 °C per decade for the 1980 to 2010 period, respectively. Evaluation of LUCC showed that the changes in growth of vegetation, including forestland, grassland, and the shrub area have increased gradually while the barren area has decreased. The integrated effects of LUCC and climate change increased runoff and ET values by 3.2% and 6.6% of the total runoff and ET, respectively. Climate change outweighed the impact of LUCC, thus showing respective increases in runoff and ET of about 107.3% and 81.2% of the total changes. The LUCC influence appeared to be modest by comparison and showed about ?7.3% and 18.8% changes relative to the totals, respectively. The increase in runoff caused by climate change factors is more than the offsetting decreases resulting from LUCC. The outcomes of this study show that the climate factors accounted for the notable effects more significantly than LUCC on hydrological processes in the upper stream of the Heihe River. 相似文献
18.
城市化对平原河网水系结构及功能的影响——以苏州市为例 总被引：1，自引：0，他引：1
针对城市化对平原河网水系结构的影响所引起的洪涝灾害频发等一系列水文问题,以我国典型平原河网地区苏州市为例,根据不同城市化程度分为主城区、市辖区、其他市县区,基于1991、2001和2015年三期遥感影像与1960s、1980s和2010s三个时期的水系数据,应用RS/GIS等技术,构建水系结构参数指标,重点探讨了城市化对河网水系结构及功能的影响.结果表明：城镇用地迅速增长,主要以牺牲水田、水域等土地利用方式为代价,到2015年全区城镇用地面积所占比重已达到41.35%,土地利用类型的变化规律与城市化进程的差异性保持一致;水系结构变化主要受城市化影响,且基本与城市化进程呈现同步性.近50年来,全区的水面率、河网密度、支流发育系数、主干河流面积长度比、河网复杂度和河网结构稳定度分别减少了19.63%、6.91%、7.34%、1.06%、5.49%和7.87%,城市化水平与各指数均呈负相关关系;人类活动不仅直接影响河流功能,也间接地通过改变平原河网的水系结构导致其功能发生改变,如河网调蓄能力下降、河流生态功能受损等.该研究为城市化地区河流水系保护及防洪减灾提供参考与理论支撑. 相似文献
19.
2000年以来天目湖流域茶园分布变化及趋势模拟 总被引：1，自引：0，他引：1
土地利用/土地覆被变化(LUCC)与区域的可持续发展密切相关,分析土地利用变化及其空间变量的关系,建立模拟模型来认识和揭示土地利用变化的特征和时空分布规律,为未来规划和政策的制定提供支持是LUCC研究的重点问题之一.本研究以太湖流域上游典型丘陵山区茶园开发作为重点研究对象,结合中高分辨率遥感影像信息、1:50000国家标准地形图数据和野外土壤采集分析数据获取2000年以来茶园及其它土地利用信息、研究区地形地貌数据和土壤数据,通过对2000年以来茶园及其新开茶园的区位分布分析,发现茶园的变化呈现快速增长的趋势,11年研究区茶园面积扩大了5倍,其中一半以上的面积是最后3年增长的;茶园在流域上不同分区的分布差异比较大,这些差异与分区自然条件、区位条件和开发条件有一定关系.根据Cramer V卡方检验结果值,比较不同的茶园区位影响因子对茶园分布的影响力,确定高程、坡度、水库、河流、村落、主干道路和茶园规模对茶园区位影响比较显著.用茶园区位影响显著性的7个因子通过迭代优化建立MLP神经网络模型,对研究区的未来茶园的分布区位进行模拟,并且用已开发茶园对模型进行验证,达到84%的区位预测精度.基于模型用现有茶园开发模式、2000年左右茶园开发模式和折中模式3种情景模拟未来茶园的分布,发现按现有的茶园开发速度,2020年茶园总面积将达到流域总面积的1/4,任何一种情景都改变不了茶园在重要功能区的增长趋势,因此迫切需要政府采取相应的措施对茶园面积的增长和区位的分布进行控制. 相似文献