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| PSR-BASED EVALUATION OF THE CULTIVATED LAND QUALITY IN HAILUN CITY OF HEILONGJIANG PROVINCE |
| WANG Jian-hua1,3, TAO Pei-feng2, YUAN Yue2, LI Zhi-zhong3,4, YANG Jia-jia3,4 |
1. Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China;
2. Chongqing Geographic Information and Remote Sensing Application Center, Chongqing 401147, China;
3. International Black Land Association, Shenyang 110034, China;
4. Shenyang Center of China Geological Survey, Shenyang 110034, China |
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Abstract To scientifically evaluate the quality level of existing cultivated land in Hailun City, Heilongjiang Province, the environmental satellite image, Landsat8 remote sensing image and geochemical survey data are used to extract the information of soil fertility, water content, heavy metal pollution and other indexes. The temperature vegetation dryness index(TVDI) which has a stronger correlation with soil water content, replacing the traditional difference vegetation index(DVI), is applied to establish a soil quality evaluation method based on pressure-state-response (PSR) model. The analytic hierarchy process(AHP) is used to assign weights to each evaluation index, combined with expert scoring and linear interpolation, to realize the quantitative evaluation of evaluation factors and obtain the minimum evaluation units by spatial weight superposition of all evaluation factors. The results show that the first-grade cultivated land accounts for 28.75%, with 71.17% of second-grade, 0.08% of third-grade and below, and the quality of cultivated land is generally high in Hailun City. Finally, some suggestions for improving cultivated land are put forward by analyzing the spatial distribution of cultivated land of different grades.
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Received: 27 August 2020
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| [1] |
中华人民共和国自然资源部. 2016中国国土资源公报[EB/OL]. http://cn.chinagate.cn/reports/2017-08/02/content_41332031.htm,2017.
|
| [2] |
党进谦,张新和,李靖. 水土保持与耕地资源持续利用[J]. 农业工程学报,2003,19(6):285-288.
|
| [3] |
杨佳佳,白磊,吴嵩. 黑龙江典型黑土区土壤侵蚀遥感监测技术研究[J]. 地质与资源,2019,28(2):193-199,183.
|
| [4] |
中华人民共和国农业部. 耕地质量保护与提升行动方案[EB/OL]. http://www.moa.gov.cn/nybgb/2015/shiyiqi/201712/t20171219_6103894. htm,2015-10-28.
|
| [5] |
杜国明,刘彦随,于凤荣,等. 耕地质量观的演变与再认识[J]. 农业工程学报,2016,32(14):243-249.
|
| [6] |
戴旭. ARC/INFO软件系统在农业土地资源评价中的应用[J]. 自然资源学报,1988,3(1):69-77.
|
| [7] |
冷疏影,李秀彬. 土地质量指标体系国际研究的新进展[J]. 地理学报,1999,54(2):177-185.
|
| [8] |
聂艳,周勇,朱海燕. 基于GIS和PSR模型的农用地资源评价研究[J]. 水土保持学报,2004,18(2):92-96.
|
| [9] |
方琳娜. 基于SPOT多光谱影像和GIS的耕地质量评价研究——以山东省即墨市为例[D]. 泰安:山东农业大学,2007.
|
| [10] |
张锐,郑华伟,刘友兆. 基于PSR模型的耕地生态安全物元分析评价[J]. 生态学报,2013,33(16):5090-5100.
|
| [11] |
赵龙山,侯瑞,吴发启,等. 坡度对农业耕作措施水土保持作用的影响[J]. 水土保持学报,2017,31(3):69-72,78.
|
| [12] |
潘忠成,袁溪,李敏. 降雨强度和坡度对土壤氮素流失的影响[J]. 水土保持学报,2016,30(1):9-13.
|
| [13] |
陈卫平,杨阳,谢天,等. 中国农田土壤重金属污染防治挑战与对策[J]. 土壤学报,2018,55(2):261-272.
|
| [14] |
薛志斌,李玲,张少凯,等. 内梅罗指数法和复合指数法在土壤重金属污染风险评估中的对比研究[J]. 中国水土保持科学,2018,16(2):119-125.
|
| [15] |
张华,张甘霖. 土壤质量指标和评价方法[J]. 土壤,2001,33(6):326-330,333.
|
| [16] |
赵其国,孙波. 土壤质量与持续环境:I. 土壤质量的定义及评价方法[J]. 土壤,1997,29(3):113-120.
|
| [17] |
姚春生,张增祥,汪潇. 使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J]. 遥感技术与应用,2004,19(6):473-478.
|
| [18] |
齐述华,王长耀,牛铮. 利用温度植被旱情指数(TVDI)进行全国旱情监测研究[J]. 遥感学报,2003,7(5):420-427.
|
| [19] |
马芊红,张光辉,耿韧,等. 黄土高原纸坊沟流域不同土地利用类型土壤质量评价[J]. 水土保持研究,2018,25(4):30-35,42.
|
| [20] |
易晨,李德成,张甘霖,等. 土壤厚度的划分标准与案例研究[J]. 土壤学报,2015,52(1):220-227.
|
| [21] |
邓雪,李家铭,曾浩健,等. 层次分析法权重计算方法分析及其应用研究[J]. 数学的实践与认识,2012,42(7):93-100.
|
|
|
|
2020, Vol. 29 
