THE RUNNING WATER SUPPLY NETWORK SYSTEM IN NANJING

doi:10.6046/gtzyyg.2002.03.20

Download: PDF(248 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

To meet the needs of managing water supply network infrastructure and computerizing in aid decision in running water trade sustainable development, Nanjing Head Office of Running Water took the lead in and developed water supply network system in Nanjing. This system, based on relief maps scaled 1:500, includes four major function module-managing figure files, inputting pipe network, inquiring and counting, and rushing to repair and the decision module.

Keywords MODIS IST Sea ice

Issue Date: 02 August 2011

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	MA Long

Cite this article:

MA Long. THE RUNNING WATER SUPPLY NETWORK SYSTEM IN NANJING[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(3): 75-77.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2002.03.20 OR https://www.gtzyyg.com/EN/Y2002/V14/I3/75

[1] 黄杏元,等.地理信息系统概论［M］.北京:高等教育出版社.

[1]	LYU Pin, XIONG Liyuan, XU Zhengqiang, ZHOU Xuecheng. FME-based method for attribute consistency checking of vector data of mines obtained from remote sensing monitoring[J]. Remote Sensing for Natural Resources, 2022, 34(1): 293-298.
[2]	JIANG Na, CHEN Chao, HAN Haifeng. An optimization method of DEM resolution for land type statistical model of coastal zones[J]. Remote Sensing for Natural Resources, 2022, 34(1): 34-42.
[3]	ZANG Liri, YANG Shuwen, SHEN Shunfa, XUE Qing, QIN Xiaowei. A registration algorithm of images with special textures coupling a watershed with mathematical morphology[J]. Remote Sensing for Natural Resources, 2022, 34(1): 76-84.
[4]	GAO Qi, WANG Yuzhen, FENG Chunhui, MA Ziqiang, LIU Weiyang, PENG Jie, JI Yanzhen. Remote sensing inversion of desert soil moisture based on improved spectral indices[J]. Remote Sensing for Natural Resources, 2022, 34(1): 142-150.
[5]	HU Yingying, DAI Shengpei, LUO Hongxia, LI Hailiang, LI Maofen, ZHENG Qian, YU Xuan, LI Ning. Spatio-temporal change characteristics of rubber forest phenology in Hainan Island during 2001—2015[J]. Remote Sensing for Natural Resources, 2022, 34(1): 210-217.
[6]	WU Yijie, KONG Xuesong. Simulation and development mode suggestions of the spatial pattern of “ecology-agriculture-construction” land in Jiangsu Province[J]. Remote Sensing for Natural Resources, 2022, 34(1): 238-248.
[7]	YU Xinli, SONG Yan, YANG Miao, HUANG Lei, ZHANG Yanjie. Multi-model and multi-scale scene recognition of shipbuilding enterprises based on convolutional neural network with spatial constraints[J]. Remote Sensing for Natural Resources, 2021, 33(4): 72-81.
[8]	WU Jiang, LIU Chun, YING Shen, YU Ting. Spatial delineation methods of urban areas[J]. Remote Sensing for Natural Resources, 2021, 33(4): 89-97.
[9]	AI Lu, SUN Shuyi, LI Shuguang, MA Hongzhang. Research progress on the cooperative inversion of soil moisture using optical and SAR remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(4): 10-18.
[10]	GAO Wenlong, ZHANG Shengwei, LIN Xi, LUO Meng, REN Zhaoyi. The remote sensing-based estimation and spatial-temporal dynamic analysis of SOM in coal mining[J]. Remote Sensing for Natural Resources, 2021, 33(4): 235-242.
[11]	WANG Shuang, ZHANG Lei, ZHANG Junyong, WANG Yile. Characteristics of GIS applications in national fitness[J]. Remote Sensing for Natural Resources, 2021, 33(4): 265-271.
[12]	SUN Ang, YANG Qinghua, LIU Zhi, CHEN Hua, JIANG Xiao, JIANG Shoumin, BIAN Yu, TIAN Li. Transportation in the Siliguri Corridor, West Bengal, India: distribution characteristics, trafficability, and geological environment[J]. Remote Sensing for Natural Resources, 2021, 33(3): 138-147.
[13]	ZHANG Aizhu, WANG Wei, ZHENG Xiongwei, YAO Yanjuan, SUN Genyun, XIN Lei, WANG Ning, HU Guang. A hierarchical spatial-temporal fusion model[J]. Remote Sensing for Natural Resources, 2021, 33(3): 18-26.
[14]	YANG Yunxue, ZHANG Yanfang. Temporal-spatial evolutionary characteristics of ecological sensitivity in Yanhe River basin based on spatial distance index[J]. Remote Sensing for Natural Resources, 2021, 33(3): 229-237.
[15]	WEI Geng, HOU Yuqiao, ZHA Yong. Analysis of aerosol type changes in Wuhan City under the outbreak of COVID-19 epidemic[J]. Remote Sensing for Natural Resources, 2021, 33(3): 238-245.

Viewed

Full text

Abstract

Cited

Shared

Discussed