经济发达地区农村居民点潜力释放空间选择

农村居民点潜力释放是城乡统筹发展的重要课题，潜力释放的空间优选则是城乡空间格局统筹的基础。基于农村居民点适宜性评价，构建经济发展潜力、居住便利性和生态环境耦合而成的指标体系，评估研究区域以行政村为单元的居住适宜性空间序列，形成适宜性分区,并根据农村居民点潜力的空间分布，统筹考虑城镇发展和耕地保护的要求，建立农村居民点潜力释放优先序的选择矩阵，形成分时序、分空间的潜力释放方案。研究结果表明：陆渡镇、浏河镇农村居民点潜力释放最优的区域主要位于沿江的东海等4个行政村，次优先潜力释放的区域包括陆渡等3个行政村，第三优先潜力释放的区域包括斑竹等10个行政村，第四优先潜力释放区域包括天浜等6个行政村，最后释放潜力的区域主要是陆渡镇和浏河镇建成区内的农村居民点。最后，提出了不同区域潜力释放模式的建议。
     

浅析基于科学发展观的太仓市水资源保护措施

本文以江苏省太仓市为实例，结合当今国内快速城市化地区水资源的保护现状，吸取了美国等发达国家对于城市水资源保护的先进理念和科学方法，有针对性地提出了基于科学发展观的当地水资源保护的有效措施，可供类似地区借鉴。     

2008-2017年苏州沿江三市主要入江支流水质变化特征

采用单因子评价法和Spearman秩相关系数评价法，对2008—2017年苏州沿江三市（张家港、常熟、太仓）主要入江支流水质变化特征进行分析。结果表明，苏州沿江三市的入江支流水质总体好转，张家港市入江支流水质明显好转，太仓市入江支流水质有所好转，常熟市入江支流水质总体保持稳定；NH₃-N、COD和BOD₅是影响入江支流水质的主要污染指标；主要污染指标优Ⅲ类比例总体呈上升趋势，但2014—2016年有所下降。2017年沿江三市入江支流水质总体处于Ⅲ类水平。     

基于变权的城镇用地扩展生态适宜性空间模糊评价——以江苏省太仓市为例

城镇用地生态适宜性评价有助于引导城镇用地合理扩展。针对传统评价方法的不足及生态适宜性的模糊性,提出基于局部惩罚型变权的空间模糊综合评价方法,并选择7项生态适宜性影响因素,在GIS软件的支持下对江苏省太仓市城镇用地的生态适宜性进行综合评判。结果显示,变权模型可灵活而合理地处理各评价单元各因素的权重值;研究区内适宜、基本适宜、较不适宜和不适宜于城镇扩展的土地分别占土地面积的25.89%、8.35%、37.43%和28.33%,其生态敏感性评价结果及其空间分布与实际相符,通过生态敏感性综合分值的比较可为城镇用地扩展区位选择提供依据。研究表明,基于变权的空间模糊综合评价凸显了"瓶颈"因素的否决作用,更能精确、合理地反映城镇用地扩展的生态适宜性状况。     

Changes of surface water pollution of Suzhou region: a case study in Taicang County, China

Environmental pollution is a by product of industrialization when economy of a region is developing. China also suffers from such a problem, especially in the southern part like Suzhou region in Jiangsu Province. In this paper, data covering situations of surface water pollution and social and economic development showed that the surface water pollution in Taicang County, a typical economic zone of Suzhou region, is significantly correlated to the economic growth of this region     

Water environment protection and sustainable development in townlet of China: A case study in Taicang

The Environmental Kuznets Curve (EKC) model was applied to investigate the relationship between economic growth and water environment quality based on panel data of Taicang during 2010–2017. The typical inversed-U shaped relationship has been obtained between GDP (gross domestic product) and indicators of ammonia, total nitrogen (TN) and total phosphorus (TP), respectively. The EKC turning point appeared when the GDP per capita was around US$2270, which was much lower than those in some developed countries (US$11,200). However, the decoupling between chemical oxygen demand (COD) and GDP per capita occurred even before this period, which should be attributed to the strict COD emission regulation being implemented since 2010. Further, analysis based on the Tapio decoupling coefficient elasticity model analyzed the ammonia nitrogen and economic development of each industry. We found that the agriculture no-point was strong decoupling in 2011–2014, then came to Recessive decoupling. The domestic wastewater had been in a strong decoupling state; Both urban non-point and industry experienced expansive negative decoupling, due to strict policy that prioritizes the environment over development and the investment in improvement of environment and techniques, both of them gradually came to strong decoupling. The result demonstrated that the EKC turning point could be appear in earlier economic stage and the decoupling coefficient elasticity could be improved through taking strong regulation measures.     

太仓市饮用水水源污染现状和对策

根据太仓市饮用水地表水源和地下水的监测数据，分别采用单因子评价和综合评价方法，对饮用水源的水质进行评价。结果认为地表水水源已受到轻度污染，属Ⅲ类水；地下水的水质较差，已不适合于直接饮用。饮用水水源的主要污染物为COD、氨氮、挥发酚、硝酸盐氮和高锰酸盐指数。对饮用水水源的污染成因进行了全面分析，并从四个方面提出了水源安全保护对策：法律法规与行政手段、技术支撑、经济支持和宣传教育.     

Changes of surface water pollution of Suzhou region:a case study in Taicang County, China

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Changes of surface water pollution of Suzhou region:a case study in Taicang County, China

Environmental pollution is a by-product of industrialization when economy of a region is developing. China also suffers from such a problem, especially in the southern part like Suzhou region in Jiangsu Province. In this paper, data covering situations of surface water pollution and social and economic development showed that the surface water pollution in Taicang County, a typical economic zone of Suzhou region, is significantly correlated to the economic growth of this region.