地理科学进展
地理科學進展
지이과학진전
PROGRESS IN GEOGRAPHY
2010年
3期
301-306
,共6页
冯雪力%吴世新%陈红%张良侠
馮雪力%吳世新%陳紅%張良俠
풍설력%오세신%진홍%장량협
非耕地系数%农业分区%层次分析法%累计平方根
非耕地繫數%農業分區%層次分析法%纍計平方根
비경지계수%농업분구%층차분석법%루계평방근
non-cultivated land coefficient%agricultural division%analytic hierarchy process%accumulated
非耕地系数反映了田间耕地与非耕地的分布情况,它的意义在于有助于获得较为准确的耕地面积.以影响非耕地系数的因素为指标对农区进行类型区划分是利用非耕地系数获取准确耕地面积的前提.首先以干旱区典型绿洲为研究区采用灰色关联方法探讨影响非耕地系数的主要因素,使用层次分析法综合影响非耕地系数的主要因素,并采用累计平方根法研究各个类型区分界点的确定.研究结果表明:影响非耕地系数的主要因素有土地利用的斑块破碎度、水网密度、农业人口密度、人均农业生产值等.将它们作为类型区划分的指标,并采用最优分层理论将类型区数目确定为8.利用累计平方根法确定各类型区的分界点,该方法使得分区结果较优,各类型区内的方差较小.该类型区划分结果反映了人们对土地利用的强度和各类型区的非耕地系数逐渐增加的趋势.
非耕地繫數反映瞭田間耕地與非耕地的分佈情況,它的意義在于有助于穫得較為準確的耕地麵積.以影響非耕地繫數的因素為指標對農區進行類型區劃分是利用非耕地繫數穫取準確耕地麵積的前提.首先以榦旱區典型綠洲為研究區採用灰色關聯方法探討影響非耕地繫數的主要因素,使用層次分析法綜閤影響非耕地繫數的主要因素,併採用纍計平方根法研究各箇類型區分界點的確定.研究結果錶明:影響非耕地繫數的主要因素有土地利用的斑塊破碎度、水網密度、農業人口密度、人均農業生產值等.將它們作為類型區劃分的指標,併採用最優分層理論將類型區數目確定為8.利用纍計平方根法確定各類型區的分界點,該方法使得分區結果較優,各類型區內的方差較小.該類型區劃分結果反映瞭人們對土地利用的彊度和各類型區的非耕地繫數逐漸增加的趨勢.
비경지계수반영료전간경지여비경지적분포정황,타적의의재우유조우획득교위준학적경지면적.이영향비경지계수적인소위지표대농구진행류형구화분시이용비경지계수획취준학경지면적적전제.수선이간한구전형록주위연구구채용회색관련방법탐토영향비경지계수적주요인소,사용층차분석법종합영향비경지계수적주요인소,병채용루계평방근법연구각개류형구분계점적학정.연구결과표명:영향비경지계수적주요인소유토지이용적반괴파쇄도、수망밀도、농업인구밀도、인균농업생산치등.장타문작위류형구화분적지표,병채용최우분층이론장류형구수목학정위8.이용루계평방근법학정각류형구적분계점,해방법사득분구결과교우,각류형구내적방차교소.해류형구화분결과반영료인문대토지이용적강도화각류형구적비경지계수축점증가적추세.
Non-cultivated land in cultivated areas is the key factor affecting monitoring cultivated land area using remote sensing technique on a large scale. In this paper, the conception of non-cultivated land coefficient was proposed to express the percentage of non-cultivated land in culti-vated areas. Non-cultivated land coefficient shows the effects of human activities on the cultivated land. In addition, Precision of surveying results could be improved with non-cultivated land coef-ficient and the cultivated land area by remote sensing. Taking the typical agriculture area in the oasis in Yining County in Xinjiang as a study area, the paper designed 30 samples based on the Quick Bird data in 2008. Based on the platform of ArcGIS, spatial database was built to store the sampling data and calculate the non-cultivated land coefficient. It is time-saving to use the Quick Bird data to substitute for filed measurements. Firstly, the paper used grey correlation method to study the relationship between non-cultivated land coefficient and its influencing factors. Simplifi-cation of these factors was done by analytic hierarchy process. Based on the simplified factors, differences between type zones can be found to complete the agriculture division using accumulat-ed method. The results are as follows: the main factors influencing non-cultivated land co-efficient were land use fragmentation, density of water network, agricultural population density and per-capita cultivated land. These factors were used as agricultural division index. In the paper, 8 zones are divided using the theory of optimal allocation. Finally, the results of agricultural division in the paper can meet the requirements of zone division that there is little difference between the samples in one division zone and quite obvious between two different division zones. Using accu-mulated method to find the thresholds of different type zones was very effective and convenient. The agricultural division, which reflects interference degree of human activities to land, is useful in guiding land use and land consolidation. Study on agricultural division based on non-cultivated land coefficient similitude in Xinjiang is quite useful for improving the cultivated areas by remote sensing.