北方农牧交错带是我国典型的生态脆弱区,精准评估农牧交错带生态环境质量变化,为区域生态文明建设与实现可持续发展提供合理参考。以农牧交错带的核心区域右玉县为研究区,选取2002年、2008年、2014年、2020年四个不同时期的Landsat影像...北方农牧交错带是我国典型的生态脆弱区,精准评估农牧交错带生态环境质量变化,为区域生态文明建设与实现可持续发展提供合理参考。以农牧交错带的核心区域右玉县为研究区,选取2002年、2008年、2014年、2020年四个不同时期的Landsat影像作为数据基础,在遥感生态指数(RSEI)模型基础上,引入盐度指标(NDSI)构建改进的遥感生态指数(IWRSEI)对2002~2020年右玉县的生态环境质量进行定量评价,通过空间自相关分析生态环境质量时空演变规律。结果表明:(1) 在IWRSEI模型中,第一主成分的荷载值的正负及其排序与RSEI保持一致。此外,IWRSEI模型的第一主成分的特征值贡献率较RSEI提升了1.92%,使得评价结果更贴近实际地表状况,该模型更适合应用于右玉县的生态环境质量评估。(2) 2002~2020年间右玉县的IWRSEI指数平均值为0.509,生态环境质量处于较为良好的状态。IWRSEI指数的年均值呈现一个先增后减的趋势,其中在2014年达到峰值0.550。2002~2014年右玉县的生态环境质量等级分布保持稳定,南部、西部和中部高海拔地带生态环境质量较好,而北部、东北部及中部低海拔区域质量较差;2014~2020年生态环境质量较差的区域面积占比显著上升了16.24%,而质量较好占比减少18.37%,主要变化集中在中低海拔地区。(3) 右玉县生态环境质量存在显著的空间自相关性,局部主要为高–高集聚和低–低集聚,与生态指数分布变化趋于一致。An appropriate reference for the establishment of regional ecological civilization and the achievement of sustainable development is the precisely assessed ecological environment quality changes in the northern agriculture and animal husbandry intertwined belt, which is a typical ecologically fragile area in China. Using Youyu County as the study location, which is the crossbreeding zone’s central region, the data base consisted of Landsat images from the years 2002, 2008, 2014, and 2020. The salinity index (NDSI) was added based on the Remote Sensing Ecological Index (RSEI) model to create the Improved Remote Sensing Ecological Index (IWRSEI), which measures the quality of the ecological environment in Youyu County from 2002 to 2020. Youyu County’s ecological environment quality was assessed quantitatively, and spatial autocorrelation was used to examine the ecological environment quality’s temporal and spatial evolution. The findings demonstrate that (1) in the IWRSEI model, the first main component’s loadings and ordering, both positively and negatively, are consistent with RSEI. Additionally, the IWRSEI model’s first principal component’s eigenvalue contribution rate improved by 1.92% when compared to the RSEI, bringing the evaluation results closer to the real surface conditions and making the model more appropriate for use in Youyu County’s ecological environment quality assessment. (2) Youyu County’s average IWRSEI rating from 2002 to 2020 was 0.509, indicating that the ecological environment is in reasonably excellent condition. The IWRSEI’s yearly average value exhibits an increasing and subsequently declining pattern, peaking at 0.550 in 2014. From 2002 to 2014, Youyu County’s ecological environment quality ratings were distributed steadily, with the high-altitude zones in the south, west, and central regions maintaining the same ecological environment quality grades. The central high-elevation zone has a better ecological environment than the northern, northeastern, and central low-elevation areas;from 2014 to 2020, the percentage of areas with a poorer ecological environment increased significantly by 16.24%, while the percentage of areas with a better ecological environment decreased by 18.37%. The main changes were concentrated in the middle and low-elevation areas. (3) There is a significant spatial autocorrelation in the ecological environment quality of Youyu County, with local areas mainly characterized by high-high clustering and low-low clustering, which is consistent with the distributional changes of the ecological index.展开更多
本文基于地理学视角进行和美乡村的内涵界定与评价体系,构建人文子系统家庭和睦、邻里和气、伙伴合作、村民和附、市民和来的“五和”与空间子系统乡村富裕美、自然生态美、乡情浓郁美、村落建筑美的“四美”框架。研究结果显示:①乡村...本文基于地理学视角进行和美乡村的内涵界定与评价体系,构建人文子系统家庭和睦、邻里和气、伙伴合作、村民和附、市民和来的“五和”与空间子系统乡村富裕美、自然生态美、乡情浓郁美、村落建筑美的“四美”框架。研究结果显示:①乡村物质空间建设上,汉中优于安康;②产业组织方面,安康优于汉中;③陕南宜居宜业和美乡村建设受政府关注度、企业带动作用和资源条件的影响,不同村庄间差异度大。最终对调研中各村庄在和美度存在的不足,提出了合理的政策建议。This paper defines and evaluates the concept of harmonious villages from a geographical perspective, constructing a framework that includes the “Five Harmonies” in the humanistic subsystem (harmonious families, harmonious neighborhoods, cooperative partnerships, harmonious villagers, harmonious citizens) and the “Four Beauties” in the spatial subsystem (prosperous and beautiful villages, beautiful natural ecology, rich and detailed cultural beauty, beautiful village architecture). The results of the study show: ① In terms of rural physical space construction, Hanzhong is superior to Ankang. ② In terms of industrial organization, Ankang outperforms Hanzhong. ③ The construction of harmonious and beautiful villages in southern Shaanxi, which are suitable for living and working, is influenced by government attention, the driving role of enterprises, and resource conditions, resulting in significant differences between different villages. Finally, reasonable policy recommendations are made to address the lacking of harmony and beauty observed in various villages surveyed.展开更多
村域作为国土空间的主形态,是实施耕地保护政策的基本单位,也是准确诊断耕地“非粮化”的基本单元。本文以内蒙古自治区科尔沁左翼中旗经济相对欠发达的希伯花镇巴音胡硕嘎查(相当于行政村)为研究区域,通过田野调查,获取研究区耕地基本...村域作为国土空间的主形态,是实施耕地保护政策的基本单位,也是准确诊断耕地“非粮化”的基本单元。本文以内蒙古自治区科尔沁左翼中旗经济相对欠发达的希伯花镇巴音胡硕嘎查(相当于行政村)为研究区域,通过田野调查,获取研究区耕地基本数据的基础上,采取统计分析和多元线性回归分析法,对村域耕地“非粮化”现状及其成因进行分析。结果表明:(1) 由300户农户的问卷调查统计数据来看,547.3 hm2耕地中有174.3 hm2耕地用于种植经济作物,占耕地总面积的31.8%,其中自种耕地的非粮化水平为3.7%、流转耕地的非粮化水平为72.2%;(2) 经济、社会、农户自身条件和当地资源禀赋等多重因素共同驱动了研究区耕地“非粮化”水平,其中种粮比较效益的低下、家庭劳动力的流失、农户自身文化的限制以及耕地产量的不稳定是导致耕地“非粮化”的重要驱动因素,劳动力流入城市或耕地流转后,耕地“非粮化”程度出现了进一步加剧的现象。As the primary form of land space, the village area serves as the fundamental unit for implementing cultivated land protection policies and accurately diagnosing non-grain cultivated land. This study focuses on Bayin Hushuo Gacha, an economically underdeveloped administrative village in Xibohua Town, Horqin Left Wing Middle Banner, Inner Mongolia Autonomous Region. Utilizing field investigation data on cultivated land in the research area, statistical analysis and multiple linear regression are employed to analyze the current situation and causes of non-grain cultivated land in the village. The findings indicate that: (1) Out of 547.3 hm2 of cultivated land surveyed from 300 peasant households, 174.3 hm2 (31.8% of total cultivated land) was used for cash crop cultivation, with a non-grain level of 3.7% and converted land at 72.2%;(2) Various factors including economic conditions, social dynamics, farmers’ circumstances, and local resource endowment collectively influence the non-grainization level of cultivated land in this area. Among these factors are low comparative benefits from growing grain crops, loss of family labor force availability, constraints related to farmers’ cultural background, and instability in yield from cultivated lands which significantly contribute to the trend towards non-grainization.展开更多
由于城市化进程快速推进,城市环境问题日益凸显,热岛效应和臭氧问题是城市化两个突出的环境问题。为了研究川南城市群热岛效应对臭氧浓度的影响,本文用MODIS地表温度数据以及臭氧历史监测数据,分析了2010~2019年川南城市群城市热岛效应...由于城市化进程快速推进,城市环境问题日益凸显,热岛效应和臭氧问题是城市化两个突出的环境问题。为了研究川南城市群热岛效应对臭氧浓度的影响,本文用MODIS地表温度数据以及臭氧历史监测数据,分析了2010~2019年川南城市群城市热岛效应和臭氧浓度的时空分布特征、热岛效应对臭氧浓度的影响。结果表明:(1) 川南城市群城市用地热岛强度的年变化波动幅度较大,总体表现为2015年前减弱,2015年后增强,其中热岛强度最高值出现在2012年(1.39℃),最低值出现在2015年(−0.23℃)。热岛强度季节变化幅度较大。从空间分布上看,川南城市群秋季强热岛分布面积最广,冬季热岛分布显著缩减;(2) 川南城市群五个城市臭氧浓度均呈现春夏高,秋冬低的分布特征,五个城市除乐山外其余四个城市夏季臭氧浓度约为冬季的两倍。空间分布上,春季和冬季臭氧浓度空间分布表现为内江和自贡略高于剩余三个城市,夏季乐山和内江出现大面积高值区(88~102 μg/m3);(3) 热岛强度与臭氧浓度存在显著正相关性。城市化发展程度越高,对土地覆盖的影响越大,人口密度越集中,热岛效应越明显,促进臭氧的生成。Due to the rapid progress of urbanization, urban environmental problems are becoming increasingly prominent, with heat island effect and ozone problem being the two prominent environmental problems of urbanization. In order to study the impact of urban heat island effect on ozone concentration in the southern Sichuan urban agglomeration, this paper uses MODIS surface temperature data and historical ozone monitoring data to analyze the spatiotemporal distribution characteristics of urban heat island effect and ozone concentration in the southern Sichuan urban agglomeration from 2010 to 2019, as well as the impact of heat island effect on ozone concentration. The results show that: (1) the annual fluctuation of urban land heat island intensity in the southern Sichuan urban agglomeration is significant, with an overall trend of weakening before 2015 and increasing after 2015;The highest value of heat island intensity occurred in 2012 (1.39˚C), and the lowest value occurred in 2015 (−0.23˚C). The seasonal variation in heat island intensity is significant. From a spatial distribution perspective, the autumn heat island distribution area in the southern Sichuan urban agglomeration is the widest, while the winter heat island distribution is significantly reduced;(2) The ozone concentration in the five cities of the southern Sichuan urban agglomeration shows a distribution pattern of high in spring and summer, and low in autumn and winter. Except for Leshan, the ozone concentration in the other four cities in summer is about twice that in winter. In terms of spatial distribution, the spatial distribution of ozone concentration in spring and winter shows that Neijiang and Zigong are slightly higher than the remaining three cities, while in summer, Leshan and Neijiang have a large area of high-value areas (88~102 μg/m3);(3) There is a significant positive correlation between heat island intensity and ozone concentration. The higher the level of urbanization development, the greater the impact on land cover, the more concentrated the population density, the more obvious the heat island effect, and the promotion of ozone generation.展开更多
基于西南地区1961~2012年101个气象站的逐日降水资料,本文研究了该区极端降水的时空变化规律及其概率分布特征。结果表明:西南地区极端降水频数整体呈不明显的下降趋势,气候倾向率仅为−0.14次/10a,但极端降水量对总降水量的贡献率呈极...基于西南地区1961~2012年101个气象站的逐日降水资料,本文研究了该区极端降水的时空变化规律及其概率分布特征。结果表明:西南地区极端降水频数整体呈不明显的下降趋势,气候倾向率仅为−0.14次/10a,但极端降水量对总降水量的贡献率呈极显著增加趋势。西南地区极端降水尽管具有突变特征,但均没有通过显著性水平检验。此外,极端降水具有55a、35a、21a和13a的周期变化规律,且不同周期的振荡能量明显不同。极端降水高值区主要集中在云南西南部、贵州大部和四川盆地中部,其中四川省乐山站的降水量及其变差系数均为高值中心。广义极值GEV分布和Gamma函数分布均能较好地拟合西南地区的极端降水,但Gamma函数分布的拟合效果更优。Based on the daily precipitation data from 101 meteorological stations, this paper investigates the spatial and temporal characteristics of extreme precipitation and analyzes its probability distribution characteristics in Southwest China from 1961 to 2012. The results show that the overall frequency of extreme precipitation in the southwest region showed an insignificant downward trend, with a climate inclination rate of only −0.14 times per ten years, but the contribution rate of extreme precipitation to total precipitation showed a significant increasing trend. Extreme precipitation had mutation characteristics in the Southwest, but none of them had passed the significance level test. Extreme precipitation exhibited periodic variation patterns with cycles of 55a, 35a, 21a, and 13a, and the oscillation energies of different periods were significantly different. High values of extreme precipitation are mainly concentrated in the southwest of Yunnan, the majority of Guizhou, and the central Sichuan Basin, with Leshan station in Sichuan province being the center of high values for both precipitation amount and its coefficient of variation. The Generalized Extreme Value (GEV) distribution and the Gamma function distribution both exhibit excellent fitting performance for extreme precipitation in the southwestern region, with the Gamma function distribution demonstrating a superior fit.展开更多
金乡县是我国“蒜乡”,有2000多年的发展历史,年播种面积约70万亩,年总产80万吨,销往160多个国家。金乡大蒜种植面积大,产量高,质量好,出口量大,素有“世界大蒜看中国,中国大蒜看金乡”的美誉。本文通过面向对象分类提取,对金乡县小春...金乡县是我国“蒜乡”,有2000多年的发展历史,年播种面积约70万亩,年总产80万吨,销往160多个国家。金乡大蒜种植面积大,产量高,质量好,出口量大,素有“世界大蒜看中国,中国大蒜看金乡”的美誉。本文通过面向对象分类提取,对金乡县小春作物的种植面积和种植重心进行时空变化分析。得出以下结论:1) 在2016~2019年里,由于政策和市场、暴雪天气的原因,金乡县大蒜种植面积呈现先增加后减少的趋势,而小麦种植面积则是先减少后增加。2) 由于受土地总面积限制、自然条件变化等各方面因素的影响,大蒜的种植重心无明显偏移。由此也可以说明大蒜作为金乡县主要的种植农作物,其种植重心呈现稳定的状态,属平衡种植的发展类型。金乡县作为大蒜之乡,主要种植的农作物为大蒜,小麦种植作为辅助,受大蒜种植面积的影响,小麦重心偏移不规律且偏移距离相对较大。因此及时了解,准确掌握主要粮食作物大蒜、小麦种植面积、产量等信息对农业生产、农村政策、国家粮食市场的调节、进出口以及粮食政策的制定均有重要意义。Jinxiang County is China’s “garlic township”, has more than 2000 years of development history, the annual sowing area of about 700,000 mu, the annual total production of 800,000 tons, sold to more than 160 countries. Jinxiang garlic planting area is large, high output, good quality, export volume, known as “the world’s garlic to see China, China’s garlic to see Jinxiang” reputation. In this paper, the spatial and temporal changes of planting area and planting center of spring crops in Jinxiang County were analyzed by object-oriented classification. The following conclusions were drawn: 1) From 2016 to 2019, due to the policy, market and blizzard weather, the planting area of garlic in Jinxiang County showed a trend of increasing first and then decreasing, while the planting area of wheat decreased first and then increased. 2) Due to the restriction of total land area, changes in natural conditions and other factors, the planting center of gravity of garlic has not significantly shifted. It can also be shown that garlic as the main planting crop in Jinxiang County, its planting center of gravity presents a stable state, belongs to the development type of balanced planting. As the hometown of garlic, garlic is the main crop planted in Jinxiang County, with wheat planting as an auxiliary. Affected by the planting area of garlic, the wheat center of gravity shifts irregularly and the deviation distance is relatively large. Therefore, timely understanding and accurate grasp of the main food crops garlic, wheat planting area, yield and other information are of great significance to agricultural production, rural policies, national food market regulation, import and export and food policy formulation.展开更多
便利店作为城市的商业基础设施之一,其空间分布对城市的商业结构具有重要影响。基于西安市城六区便利店的兴趣点(Point of interest, POI)数据,运用核密度估计、标准差椭圆等空间统计的方法,分析了西安市城六区便利店的空间分布及影响...便利店作为城市的商业基础设施之一,其空间分布对城市的商业结构具有重要影响。基于西安市城六区便利店的兴趣点(Point of interest, POI)数据,运用核密度估计、标准差椭圆等空间统计的方法,分析了西安市城六区便利店的空间分布及影响因素。结果显示:西安市城六区便利店的空间分布存在不均衡现象,呈现中心城区聚集、周边小范围组团的特点,其空间分布方向为北东–南西,总体较为分散,具有一定方向性;区域内人口密度、人均GDP和道路等级是影响便利店空间分布的重要因素。展开更多
基于和美乡村的内涵,本研究构建了宜居、宜业两个维度的评价指标体系,包括17个具体指标,通过层次分析法(AHP)确定了各评价指标的权重,并利用综合指数评价法计算乡村的发展潜能,运用ArcGIS软件对数据进行处理,实现结果的可视化。结合实际...基于和美乡村的内涵,本研究构建了宜居、宜业两个维度的评价指标体系,包括17个具体指标,通过层次分析法(AHP)确定了各评价指标的权重,并利用综合指数评价法计算乡村的发展潜能,运用ArcGIS软件对数据进行处理,实现结果的可视化。结合实际,对评价结果进行了深入分析,发现各乡村发展潜力值呈正态分布,可将乡村类型初步划分为低、中、高三层级,根据乡村发展现状对每一层级乡村进行定位,将其分为城乡融合类、农业生产类、生态保育类,并针对各类型乡村短板制定了相应的和美乡村发展策略。这将有助于推动和美乡村的健康建设,同时也为其他地区的乡村振兴发展提供了有益的借鉴和参考。Based on the definition of a harmonious countryside, this study has conducted an evaluation system of two perspectives: livability and workability. And it includes 17 evaluation indicators. The weights of each indicator are determined using the Analytic Hierarchy Process (AHP), while the village’s development potential is calculated using a comprehensive index evaluation method. ArcGIS is used to process the data and build visualizations of the results. Along with factual data from reality, we have conducted a deep analysis and found out that the value of the development potential of each village has a normal distribution. The villages can be divided into 3 levels: low, middle and high classes. Based on the current trend of rural development, these villages are in the position to be developed into 3 types of areas: urban-rural integration, agricultural production and ecological conservation. Development strategies have been developed to address the current shortcomings of these rural areas. This will help push the development of harmonious villages even further. This can provide useful information for the development of villages in other areas.展开更多
利用可能–满意度法预测了内蒙古2035年的适度人口规模。通过构建涵盖自然资源、生态环境、经济发展和社会生活四个维度的指标体系,综合各要素,确定指标权重,构建P-S模型进行预测。预测结果表明,到2035年内蒙古自治区的最优适度人口规...利用可能–满意度法预测了内蒙古2035年的适度人口规模。通过构建涵盖自然资源、生态环境、经济发展和社会生活四个维度的指标体系,综合各要素,确定指标权重,构建P-S模型进行预测。预测结果表明,到2035年内蒙古自治区的最优适度人口规模应在2172.71万人,理想适度人口规模为2257.82万人以上,满意适度人口规模大于2362.60万人,最大适度人口规模为2608.81万人。由此,从自然资源高效利用、生态环境保护修复、经济发展水平提升、社会生活状况优化等四个层面为内蒙古制定适度人口发展策略以促进地区经济高质量发展。The possibility satisfaction method was used to predict the moderate population size of Inner Mongolia in 2035. By constructing an indicator system covering four dimensions of natural resources, ecological environment, economic development, and social life, integrating various elements, determining indicator weights, and constructing a P-S model for prediction. The prediction results indicate that by 2035, the optimal moderate population size for Inner Mongolia Autonomous Region should be 23.9541 million people, with an ideal moderate population size of 24.4971 million or more, a satisfactory moderate population size greater than 25.0559 million people, and a maximum moderate population size of 26.0632 million people. Therefore, from four aspects: efficient utilization of natural resources, ecological environment protection and restoration, improvement of economic development level, and optimization of social living conditions, a moderate population development strategy is formulated for Inner Mongolia to promote high-quality regional economic development.展开更多
文摘北方农牧交错带是我国典型的生态脆弱区,精准评估农牧交错带生态环境质量变化,为区域生态文明建设与实现可持续发展提供合理参考。以农牧交错带的核心区域右玉县为研究区,选取2002年、2008年、2014年、2020年四个不同时期的Landsat影像作为数据基础,在遥感生态指数(RSEI)模型基础上,引入盐度指标(NDSI)构建改进的遥感生态指数(IWRSEI)对2002~2020年右玉县的生态环境质量进行定量评价,通过空间自相关分析生态环境质量时空演变规律。结果表明:(1) 在IWRSEI模型中,第一主成分的荷载值的正负及其排序与RSEI保持一致。此外,IWRSEI模型的第一主成分的特征值贡献率较RSEI提升了1.92%,使得评价结果更贴近实际地表状况,该模型更适合应用于右玉县的生态环境质量评估。(2) 2002~2020年间右玉县的IWRSEI指数平均值为0.509,生态环境质量处于较为良好的状态。IWRSEI指数的年均值呈现一个先增后减的趋势,其中在2014年达到峰值0.550。2002~2014年右玉县的生态环境质量等级分布保持稳定,南部、西部和中部高海拔地带生态环境质量较好,而北部、东北部及中部低海拔区域质量较差;2014~2020年生态环境质量较差的区域面积占比显著上升了16.24%,而质量较好占比减少18.37%,主要变化集中在中低海拔地区。(3) 右玉县生态环境质量存在显著的空间自相关性,局部主要为高–高集聚和低–低集聚,与生态指数分布变化趋于一致。An appropriate reference for the establishment of regional ecological civilization and the achievement of sustainable development is the precisely assessed ecological environment quality changes in the northern agriculture and animal husbandry intertwined belt, which is a typical ecologically fragile area in China. Using Youyu County as the study location, which is the crossbreeding zone’s central region, the data base consisted of Landsat images from the years 2002, 2008, 2014, and 2020. The salinity index (NDSI) was added based on the Remote Sensing Ecological Index (RSEI) model to create the Improved Remote Sensing Ecological Index (IWRSEI), which measures the quality of the ecological environment in Youyu County from 2002 to 2020. Youyu County’s ecological environment quality was assessed quantitatively, and spatial autocorrelation was used to examine the ecological environment quality’s temporal and spatial evolution. The findings demonstrate that (1) in the IWRSEI model, the first main component’s loadings and ordering, both positively and negatively, are consistent with RSEI. Additionally, the IWRSEI model’s first principal component’s eigenvalue contribution rate improved by 1.92% when compared to the RSEI, bringing the evaluation results closer to the real surface conditions and making the model more appropriate for use in Youyu County’s ecological environment quality assessment. (2) Youyu County’s average IWRSEI rating from 2002 to 2020 was 0.509, indicating that the ecological environment is in reasonably excellent condition. The IWRSEI’s yearly average value exhibits an increasing and subsequently declining pattern, peaking at 0.550 in 2014. From 2002 to 2014, Youyu County’s ecological environment quality ratings were distributed steadily, with the high-altitude zones in the south, west, and central regions maintaining the same ecological environment quality grades. The central high-elevation zone has a better ecological environment than the northern, northeastern, and central low-elevation areas;from 2014 to 2020, the percentage of areas with a poorer ecological environment increased significantly by 16.24%, while the percentage of areas with a better ecological environment decreased by 18.37%. The main changes were concentrated in the middle and low-elevation areas. (3) There is a significant spatial autocorrelation in the ecological environment quality of Youyu County, with local areas mainly characterized by high-high clustering and low-low clustering, which is consistent with the distributional changes of the ecological index.
文摘本文基于地理学视角进行和美乡村的内涵界定与评价体系,构建人文子系统家庭和睦、邻里和气、伙伴合作、村民和附、市民和来的“五和”与空间子系统乡村富裕美、自然生态美、乡情浓郁美、村落建筑美的“四美”框架。研究结果显示:①乡村物质空间建设上,汉中优于安康;②产业组织方面,安康优于汉中;③陕南宜居宜业和美乡村建设受政府关注度、企业带动作用和资源条件的影响,不同村庄间差异度大。最终对调研中各村庄在和美度存在的不足,提出了合理的政策建议。This paper defines and evaluates the concept of harmonious villages from a geographical perspective, constructing a framework that includes the “Five Harmonies” in the humanistic subsystem (harmonious families, harmonious neighborhoods, cooperative partnerships, harmonious villagers, harmonious citizens) and the “Four Beauties” in the spatial subsystem (prosperous and beautiful villages, beautiful natural ecology, rich and detailed cultural beauty, beautiful village architecture). The results of the study show: ① In terms of rural physical space construction, Hanzhong is superior to Ankang. ② In terms of industrial organization, Ankang outperforms Hanzhong. ③ The construction of harmonious and beautiful villages in southern Shaanxi, which are suitable for living and working, is influenced by government attention, the driving role of enterprises, and resource conditions, resulting in significant differences between different villages. Finally, reasonable policy recommendations are made to address the lacking of harmony and beauty observed in various villages surveyed.
文摘村域作为国土空间的主形态,是实施耕地保护政策的基本单位,也是准确诊断耕地“非粮化”的基本单元。本文以内蒙古自治区科尔沁左翼中旗经济相对欠发达的希伯花镇巴音胡硕嘎查(相当于行政村)为研究区域,通过田野调查,获取研究区耕地基本数据的基础上,采取统计分析和多元线性回归分析法,对村域耕地“非粮化”现状及其成因进行分析。结果表明:(1) 由300户农户的问卷调查统计数据来看,547.3 hm2耕地中有174.3 hm2耕地用于种植经济作物,占耕地总面积的31.8%,其中自种耕地的非粮化水平为3.7%、流转耕地的非粮化水平为72.2%;(2) 经济、社会、农户自身条件和当地资源禀赋等多重因素共同驱动了研究区耕地“非粮化”水平,其中种粮比较效益的低下、家庭劳动力的流失、农户自身文化的限制以及耕地产量的不稳定是导致耕地“非粮化”的重要驱动因素,劳动力流入城市或耕地流转后,耕地“非粮化”程度出现了进一步加剧的现象。As the primary form of land space, the village area serves as the fundamental unit for implementing cultivated land protection policies and accurately diagnosing non-grain cultivated land. This study focuses on Bayin Hushuo Gacha, an economically underdeveloped administrative village in Xibohua Town, Horqin Left Wing Middle Banner, Inner Mongolia Autonomous Region. Utilizing field investigation data on cultivated land in the research area, statistical analysis and multiple linear regression are employed to analyze the current situation and causes of non-grain cultivated land in the village. The findings indicate that: (1) Out of 547.3 hm2 of cultivated land surveyed from 300 peasant households, 174.3 hm2 (31.8% of total cultivated land) was used for cash crop cultivation, with a non-grain level of 3.7% and converted land at 72.2%;(2) Various factors including economic conditions, social dynamics, farmers’ circumstances, and local resource endowment collectively influence the non-grainization level of cultivated land in this area. Among these factors are low comparative benefits from growing grain crops, loss of family labor force availability, constraints related to farmers’ cultural background, and instability in yield from cultivated lands which significantly contribute to the trend towards non-grainization.
文摘由于城市化进程快速推进,城市环境问题日益凸显,热岛效应和臭氧问题是城市化两个突出的环境问题。为了研究川南城市群热岛效应对臭氧浓度的影响,本文用MODIS地表温度数据以及臭氧历史监测数据,分析了2010~2019年川南城市群城市热岛效应和臭氧浓度的时空分布特征、热岛效应对臭氧浓度的影响。结果表明:(1) 川南城市群城市用地热岛强度的年变化波动幅度较大,总体表现为2015年前减弱,2015年后增强,其中热岛强度最高值出现在2012年(1.39℃),最低值出现在2015年(−0.23℃)。热岛强度季节变化幅度较大。从空间分布上看,川南城市群秋季强热岛分布面积最广,冬季热岛分布显著缩减;(2) 川南城市群五个城市臭氧浓度均呈现春夏高,秋冬低的分布特征,五个城市除乐山外其余四个城市夏季臭氧浓度约为冬季的两倍。空间分布上,春季和冬季臭氧浓度空间分布表现为内江和自贡略高于剩余三个城市,夏季乐山和内江出现大面积高值区(88~102 μg/m3);(3) 热岛强度与臭氧浓度存在显著正相关性。城市化发展程度越高,对土地覆盖的影响越大,人口密度越集中,热岛效应越明显,促进臭氧的生成。Due to the rapid progress of urbanization, urban environmental problems are becoming increasingly prominent, with heat island effect and ozone problem being the two prominent environmental problems of urbanization. In order to study the impact of urban heat island effect on ozone concentration in the southern Sichuan urban agglomeration, this paper uses MODIS surface temperature data and historical ozone monitoring data to analyze the spatiotemporal distribution characteristics of urban heat island effect and ozone concentration in the southern Sichuan urban agglomeration from 2010 to 2019, as well as the impact of heat island effect on ozone concentration. The results show that: (1) the annual fluctuation of urban land heat island intensity in the southern Sichuan urban agglomeration is significant, with an overall trend of weakening before 2015 and increasing after 2015;The highest value of heat island intensity occurred in 2012 (1.39˚C), and the lowest value occurred in 2015 (−0.23˚C). The seasonal variation in heat island intensity is significant. From a spatial distribution perspective, the autumn heat island distribution area in the southern Sichuan urban agglomeration is the widest, while the winter heat island distribution is significantly reduced;(2) The ozone concentration in the five cities of the southern Sichuan urban agglomeration shows a distribution pattern of high in spring and summer, and low in autumn and winter. Except for Leshan, the ozone concentration in the other four cities in summer is about twice that in winter. In terms of spatial distribution, the spatial distribution of ozone concentration in spring and winter shows that Neijiang and Zigong are slightly higher than the remaining three cities, while in summer, Leshan and Neijiang have a large area of high-value areas (88~102 μg/m3);(3) There is a significant positive correlation between heat island intensity and ozone concentration. The higher the level of urbanization development, the greater the impact on land cover, the more concentrated the population density, the more obvious the heat island effect, and the promotion of ozone generation.
文摘基于西南地区1961~2012年101个气象站的逐日降水资料,本文研究了该区极端降水的时空变化规律及其概率分布特征。结果表明:西南地区极端降水频数整体呈不明显的下降趋势,气候倾向率仅为−0.14次/10a,但极端降水量对总降水量的贡献率呈极显著增加趋势。西南地区极端降水尽管具有突变特征,但均没有通过显著性水平检验。此外,极端降水具有55a、35a、21a和13a的周期变化规律,且不同周期的振荡能量明显不同。极端降水高值区主要集中在云南西南部、贵州大部和四川盆地中部,其中四川省乐山站的降水量及其变差系数均为高值中心。广义极值GEV分布和Gamma函数分布均能较好地拟合西南地区的极端降水,但Gamma函数分布的拟合效果更优。Based on the daily precipitation data from 101 meteorological stations, this paper investigates the spatial and temporal characteristics of extreme precipitation and analyzes its probability distribution characteristics in Southwest China from 1961 to 2012. The results show that the overall frequency of extreme precipitation in the southwest region showed an insignificant downward trend, with a climate inclination rate of only −0.14 times per ten years, but the contribution rate of extreme precipitation to total precipitation showed a significant increasing trend. Extreme precipitation had mutation characteristics in the Southwest, but none of them had passed the significance level test. Extreme precipitation exhibited periodic variation patterns with cycles of 55a, 35a, 21a, and 13a, and the oscillation energies of different periods were significantly different. High values of extreme precipitation are mainly concentrated in the southwest of Yunnan, the majority of Guizhou, and the central Sichuan Basin, with Leshan station in Sichuan province being the center of high values for both precipitation amount and its coefficient of variation. The Generalized Extreme Value (GEV) distribution and the Gamma function distribution both exhibit excellent fitting performance for extreme precipitation in the southwestern region, with the Gamma function distribution demonstrating a superior fit.
文摘金乡县是我国“蒜乡”,有2000多年的发展历史,年播种面积约70万亩,年总产80万吨,销往160多个国家。金乡大蒜种植面积大,产量高,质量好,出口量大,素有“世界大蒜看中国,中国大蒜看金乡”的美誉。本文通过面向对象分类提取,对金乡县小春作物的种植面积和种植重心进行时空变化分析。得出以下结论:1) 在2016~2019年里,由于政策和市场、暴雪天气的原因,金乡县大蒜种植面积呈现先增加后减少的趋势,而小麦种植面积则是先减少后增加。2) 由于受土地总面积限制、自然条件变化等各方面因素的影响,大蒜的种植重心无明显偏移。由此也可以说明大蒜作为金乡县主要的种植农作物,其种植重心呈现稳定的状态,属平衡种植的发展类型。金乡县作为大蒜之乡,主要种植的农作物为大蒜,小麦种植作为辅助,受大蒜种植面积的影响,小麦重心偏移不规律且偏移距离相对较大。因此及时了解,准确掌握主要粮食作物大蒜、小麦种植面积、产量等信息对农业生产、农村政策、国家粮食市场的调节、进出口以及粮食政策的制定均有重要意义。Jinxiang County is China’s “garlic township”, has more than 2000 years of development history, the annual sowing area of about 700,000 mu, the annual total production of 800,000 tons, sold to more than 160 countries. Jinxiang garlic planting area is large, high output, good quality, export volume, known as “the world’s garlic to see China, China’s garlic to see Jinxiang” reputation. In this paper, the spatial and temporal changes of planting area and planting center of spring crops in Jinxiang County were analyzed by object-oriented classification. The following conclusions were drawn: 1) From 2016 to 2019, due to the policy, market and blizzard weather, the planting area of garlic in Jinxiang County showed a trend of increasing first and then decreasing, while the planting area of wheat decreased first and then increased. 2) Due to the restriction of total land area, changes in natural conditions and other factors, the planting center of gravity of garlic has not significantly shifted. It can also be shown that garlic as the main planting crop in Jinxiang County, its planting center of gravity presents a stable state, belongs to the development type of balanced planting. As the hometown of garlic, garlic is the main crop planted in Jinxiang County, with wheat planting as an auxiliary. Affected by the planting area of garlic, the wheat center of gravity shifts irregularly and the deviation distance is relatively large. Therefore, timely understanding and accurate grasp of the main food crops garlic, wheat planting area, yield and other information are of great significance to agricultural production, rural policies, national food market regulation, import and export and food policy formulation.
文摘便利店作为城市的商业基础设施之一,其空间分布对城市的商业结构具有重要影响。基于西安市城六区便利店的兴趣点(Point of interest, POI)数据,运用核密度估计、标准差椭圆等空间统计的方法,分析了西安市城六区便利店的空间分布及影响因素。结果显示:西安市城六区便利店的空间分布存在不均衡现象,呈现中心城区聚集、周边小范围组团的特点,其空间分布方向为北东–南西,总体较为分散,具有一定方向性;区域内人口密度、人均GDP和道路等级是影响便利店空间分布的重要因素。
文摘基于和美乡村的内涵,本研究构建了宜居、宜业两个维度的评价指标体系,包括17个具体指标,通过层次分析法(AHP)确定了各评价指标的权重,并利用综合指数评价法计算乡村的发展潜能,运用ArcGIS软件对数据进行处理,实现结果的可视化。结合实际,对评价结果进行了深入分析,发现各乡村发展潜力值呈正态分布,可将乡村类型初步划分为低、中、高三层级,根据乡村发展现状对每一层级乡村进行定位,将其分为城乡融合类、农业生产类、生态保育类,并针对各类型乡村短板制定了相应的和美乡村发展策略。这将有助于推动和美乡村的健康建设,同时也为其他地区的乡村振兴发展提供了有益的借鉴和参考。Based on the definition of a harmonious countryside, this study has conducted an evaluation system of two perspectives: livability and workability. And it includes 17 evaluation indicators. The weights of each indicator are determined using the Analytic Hierarchy Process (AHP), while the village’s development potential is calculated using a comprehensive index evaluation method. ArcGIS is used to process the data and build visualizations of the results. Along with factual data from reality, we have conducted a deep analysis and found out that the value of the development potential of each village has a normal distribution. The villages can be divided into 3 levels: low, middle and high classes. Based on the current trend of rural development, these villages are in the position to be developed into 3 types of areas: urban-rural integration, agricultural production and ecological conservation. Development strategies have been developed to address the current shortcomings of these rural areas. This will help push the development of harmonious villages even further. This can provide useful information for the development of villages in other areas.
文摘利用可能–满意度法预测了内蒙古2035年的适度人口规模。通过构建涵盖自然资源、生态环境、经济发展和社会生活四个维度的指标体系,综合各要素,确定指标权重,构建P-S模型进行预测。预测结果表明,到2035年内蒙古自治区的最优适度人口规模应在2172.71万人,理想适度人口规模为2257.82万人以上,满意适度人口规模大于2362.60万人,最大适度人口规模为2608.81万人。由此,从自然资源高效利用、生态环境保护修复、经济发展水平提升、社会生活状况优化等四个层面为内蒙古制定适度人口发展策略以促进地区经济高质量发展。The possibility satisfaction method was used to predict the moderate population size of Inner Mongolia in 2035. By constructing an indicator system covering four dimensions of natural resources, ecological environment, economic development, and social life, integrating various elements, determining indicator weights, and constructing a P-S model for prediction. The prediction results indicate that by 2035, the optimal moderate population size for Inner Mongolia Autonomous Region should be 23.9541 million people, with an ideal moderate population size of 24.4971 million or more, a satisfactory moderate population size greater than 25.0559 million people, and a maximum moderate population size of 26.0632 million people. Therefore, from four aspects: efficient utilization of natural resources, ecological environment protection and restoration, improvement of economic development level, and optimization of social living conditions, a moderate population development strategy is formulated for Inner Mongolia to promote high-quality regional economic development.