Heilongjiang Province eco-agricultural development had distinctive characters in different areas. It depended on the development of circular agriculture and agricultural mechanization, with the new agricultural busine...Heilongjiang Province eco-agricultural development had distinctive characters in different areas. It depended on the development of circular agriculture and agricultural mechanization, with the new agricultural business as the main management model, and gradually became the trend of agricultural development. But there were some problems in the process, such as lacking of supervision, brand clutter, farmland quality decline, financial shortage, information and human resource shortage, and farmers’ weak awareness on eco-agriculture. Some suggestions were provided to solve these problems.展开更多
The Heilongjiang Jianbiannongchang area is located at the confluence of the Great and Lesser Xing’an Ranges.This area has a complex magmatic and tectonic evolutionary history that has resulted in a complex and divers...The Heilongjiang Jianbiannongchang area is located at the confluence of the Great and Lesser Xing’an Ranges.This area has a complex magmatic and tectonic evolutionary history that has resulted in a complex and diverse geological background for mineralization.In this study,isometric logarithmic ratio(ILR)transformations of Au,Cu,Pb,Zn,and Sb contents were performed in the1:50,000 soil geochemical data of the Jianbiannongchang area.Robust principal component analysis(RPCA)was conducted based on ILR transformation.The local singularity and spectrum-area(S-A)methods were used to extract information on mineralogic anomalies.The results showed that:(1)the transformed data eliminated the influence of the original data closure effect,and the PC1and PC2 information obtained by applying RPCA reflected ore-producing element anomalies dominated by Au and Cu.(2)The local singularity method can enhance the information of the local strong and weak slow anomalies.After performing local singularity analysis on PC1 and PC2,the obtained local anomalies reflected the local singularity spatial anomaly patterns related to Cu and Au mineralization in this area,which is an effective method for trapping ore-producing anomalies.(3)Furthermore,the composite anomaly decomposition of PC1 and PC2 was performed using the S-A method,and the screened anomalous and background fields reflect the ore-producing anomalies related to Cu and Au mineralization.This information is in agreement with known Cu and Au mineralization.(4)The geochemical anomalies with mineralization potential were obtained outside the known mineralization sites by integrating the information of oreproducing anomalies extracted by the local singularity and S-A methods,providing the theoretical basis and exploration direction for future exploration in the study area.展开更多
Taking a total of 13 areas in Heilongjiang commodity grain base as the research objects,9 indices are selected,which are regional GDP(X1),per capita GDP(X2),total value of tertiary industry(X3),financial revenue(X4),u...Taking a total of 13 areas in Heilongjiang commodity grain base as the research objects,9 indices are selected,which are regional GDP(X1),per capita GDP(X2),total value of tertiary industry(X3),financial revenue(X4),urban fixed assets investment(X5),average salary(X6),gross industrial output value(X7),total output value of farming,forestry,husbandry and fishing(X8),and retail sales of social consumer goods(X9).Based on this,evaluation index system of regional economy is established.According to the 2006-2008 Heilongjiang Statistical Yearbook,average values within 3 years are used as analytical data.Factor Analysis Method is adopted to establish regression model and to carry out comprehensive analysis.Result shows that Heilongjiang commodity grain base has extremely uneven regional economic development in different areas.According to the score order and actual situation,the 13 areas are divided into 4 types.The first and second types are Harbin and Daqing,respectively.The third type is Qiqihaer,Suihua,Mudanjiang and Jiamusi.And the forth type is Jixi,Shuangyashan,Heihe,Yichun,Qitaihe,Hegang and Daxinganling.Suggestions for the development of these areas are put forward.展开更多
[Objective] The aim was to study the dynamic variation of vegetation and its response to economic factors in the border area of Heilongjiang Province.[Method] Based on SPOT Vegetation NDVI data in each 10 days from 19...[Objective] The aim was to study the dynamic variation of vegetation and its response to economic factors in the border area of Heilongjiang Province.[Method] Based on SPOT Vegetation NDVI data in each 10 days from 1998 to 2007,the dynamic variation of vegetation in the border area of Heilongjiang Province in recent 10 years was studied,and the response of vegetation variation to economic factors was analyzed in the paper.[Result] On the whole,vegetation coverage was high in the border area of Heilongjiang Province from 1998 to 2007,and showed increasing trend.Except for parts of Huma County showing degrading trend,the whole vegetation condition in the border area of Heilongjiang Province was basically constant or improved,and the region with constant vegetation accounted for 71.00%,while the region with slight improved vegetation occupied 26.81%.Meanwhile,vegetation index and GDP increased on the whole from 1998 to 2007,but there was no complete consistency in their trends.In addition,MNDVI was significantly positively correlated with the average salary of local workers (P<0.01),but significantly negatively correlated with farmland area (P<0.01),and the negative correlation was delayed,that is to say,the decrease of farmland area in the first year would affect MNDVI in the second and third year.[Conclusion] The study could provide scientific references for the establishment of policies about economic development and ecological environment in Heilongjiang River basin.展开更多
基金Supported by Chinese Scholarship Council(201708230002)Heilongjiang Social Science Fund(14C040)the National Social Science Fund(15BJY107)
文摘Heilongjiang Province eco-agricultural development had distinctive characters in different areas. It depended on the development of circular agriculture and agricultural mechanization, with the new agricultural business as the main management model, and gradually became the trend of agricultural development. But there were some problems in the process, such as lacking of supervision, brand clutter, farmland quality decline, financial shortage, information and human resource shortage, and farmers’ weak awareness on eco-agriculture. Some suggestions were provided to solve these problems.
基金supported by the Project of the Natural Science Foundation of Liaoning Province(2020-BS-258)the Scientific Research Fund Project of the Educational Department of Liaoning Provincial(LJ2020JCL010)+1 种基金The project was supported by the discipline innovation team of Liaoning Technical University(LNTU20TD-14)the Key Research and Development Project of Heilongjiang Province(GA21A204).
文摘The Heilongjiang Jianbiannongchang area is located at the confluence of the Great and Lesser Xing’an Ranges.This area has a complex magmatic and tectonic evolutionary history that has resulted in a complex and diverse geological background for mineralization.In this study,isometric logarithmic ratio(ILR)transformations of Au,Cu,Pb,Zn,and Sb contents were performed in the1:50,000 soil geochemical data of the Jianbiannongchang area.Robust principal component analysis(RPCA)was conducted based on ILR transformation.The local singularity and spectrum-area(S-A)methods were used to extract information on mineralogic anomalies.The results showed that:(1)the transformed data eliminated the influence of the original data closure effect,and the PC1and PC2 information obtained by applying RPCA reflected ore-producing element anomalies dominated by Au and Cu.(2)The local singularity method can enhance the information of the local strong and weak slow anomalies.After performing local singularity analysis on PC1 and PC2,the obtained local anomalies reflected the local singularity spatial anomaly patterns related to Cu and Au mineralization in this area,which is an effective method for trapping ore-producing anomalies.(3)Furthermore,the composite anomaly decomposition of PC1 and PC2 was performed using the S-A method,and the screened anomalous and background fields reflect the ore-producing anomalies related to Cu and Au mineralization.This information is in agreement with known Cu and Au mineralization.(4)The geochemical anomalies with mineralization potential were obtained outside the known mineralization sites by integrating the information of oreproducing anomalies extracted by the local singularity and S-A methods,providing the theoretical basis and exploration direction for future exploration in the study area.
基金Supported by the Research Fund of Heilongjiang Science & Technology Department(GB08D101-2)
文摘Taking a total of 13 areas in Heilongjiang commodity grain base as the research objects,9 indices are selected,which are regional GDP(X1),per capita GDP(X2),total value of tertiary industry(X3),financial revenue(X4),urban fixed assets investment(X5),average salary(X6),gross industrial output value(X7),total output value of farming,forestry,husbandry and fishing(X8),and retail sales of social consumer goods(X9).Based on this,evaluation index system of regional economy is established.According to the 2006-2008 Heilongjiang Statistical Yearbook,average values within 3 years are used as analytical data.Factor Analysis Method is adopted to establish regression model and to carry out comprehensive analysis.Result shows that Heilongjiang commodity grain base has extremely uneven regional economic development in different areas.According to the score order and actual situation,the 13 areas are divided into 4 types.The first and second types are Harbin and Daqing,respectively.The third type is Qiqihaer,Suihua,Mudanjiang and Jiamusi.And the forth type is Jixi,Shuangyashan,Heihe,Yichun,Qitaihe,Hegang and Daxinganling.Suggestions for the development of these areas are put forward.
基金Supported by Special Fund for Scientific Research Fee of Central Higher Education ( 507275871)
文摘[Objective] The aim was to study the dynamic variation of vegetation and its response to economic factors in the border area of Heilongjiang Province.[Method] Based on SPOT Vegetation NDVI data in each 10 days from 1998 to 2007,the dynamic variation of vegetation in the border area of Heilongjiang Province in recent 10 years was studied,and the response of vegetation variation to economic factors was analyzed in the paper.[Result] On the whole,vegetation coverage was high in the border area of Heilongjiang Province from 1998 to 2007,and showed increasing trend.Except for parts of Huma County showing degrading trend,the whole vegetation condition in the border area of Heilongjiang Province was basically constant or improved,and the region with constant vegetation accounted for 71.00%,while the region with slight improved vegetation occupied 26.81%.Meanwhile,vegetation index and GDP increased on the whole from 1998 to 2007,but there was no complete consistency in their trends.In addition,MNDVI was significantly positively correlated with the average salary of local workers (P<0.01),but significantly negatively correlated with farmland area (P<0.01),and the negative correlation was delayed,that is to say,the decrease of farmland area in the first year would affect MNDVI in the second and third year.[Conclusion] The study could provide scientific references for the establishment of policies about economic development and ecological environment in Heilongjiang River basin.
