Estimation of actual irrigation area using remote sensing monitoring method in Hetao Irrigation District

Abstract Groundwater is an important resource of water in arid and semi-arid agricultural regions. This study considered the spatial differentiation of geographical features and the concentration of groundwater flow. The upstream of the Hetao Irrigation District Shenwu Irrigation Area (SWIA) and the downstream Wulate Irrigation Area (WLTIA) were selected as the study area, and a total of 85 groundwater samples (42 from SW and 43 from WLTIA) were collected. The aims of the study were to analyze the chemical composition and main control mechanisms of groundwater, and to evaluate the suitability of groundwater irrigation in the study area from the perspective of salt and alkali damage. Geological and environmental factors increase the spatial variability of groundwater chemical characteristics in the Hetao Irrigation District. In addition the groundwater of the study area is weakly alkaline, with the flow of groundwater; the solute content of downstream (WLTIA) is higher than that of upstream (SWIA); SWIA is mainly fresh water (47.62%); and WLTIA is mainly brackish water (65.12%). The main water chemistry types are Cl-Na type, Cl·SO-Ca· Mg type, Na+ and Cl− have obvious advantages in WLTIA, and they are the main contribution indicators of groundwater TDS in the study area. Rock weathering, ions exchange and evaporate crystallization are the main controlling factors for groundwater in the Hetao Irrigation District. Na+ mainly originates from the dissolution of evaporate salt rock and silicate rock, and Ca2+ from the dissolution of gypsum and carbonate. The order of contribution of different rocks is evaporation rock > silicate rock > carbonate rock, and the contribution rates of human activities and atmospheric input are small. The groundwater quality of the upstream SW is better than that of the downstream WLTIA. However, due to the high chemical ion concentration of the groundwater, most of the groundwater cannot be directly used for irrigation, which may cause salt and alkali damage. Therefore, when using groundwater irrigation, either drip irrigation or irrigation water aeration pretreatment can be used to avoid damages such as reduced soil permeability and compaction.

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A Preliminary Study On Remote Sensing Monitoring Method For Oil And Gas Resources- A Case Study In Ordos Basin

E3S Web of Conferences ◽

10.1051/e3sconf/202019401003 ◽

2020 ◽

Vol 194 ◽

pp. 01003

Author(s):

Zhao Yuling ◽

Yang Jinzhong ◽

Zhang Zhi

Keyword(s):

Remote Sensing ◽

Shale Gas ◽

Coalbed Methane ◽

Oil And Gas ◽

Ordos Basin ◽

Monitoring Method ◽

Remote Sensing Monitoring ◽

Unconventional Oil ◽

Oil And Gas Resources ◽

Unconventional Oil And Gas

With the continuous improvement of the understanding of the geological law and continuous innovation of unconventional oil and gas exploration and mining technology, China has made great breakthroughs in newly-added geological reserves of unconventional oil and gas resources, such as shale gas, coalbed methane, etc. But for many reasons, attention has not been paid to oil and gas resources (petroleum, natural gas, coalbed methane, shale gas), and regional remote sensing monitoring research has not been carried out. Based on high-resolution remote sensing data of the year 2018 and human-computer interactive interpretation technique, this paper built remote sensing interpretation signs of oil and gas mines, carried out exploration of remote sensing monitoring methods for oil and gas mines, completed remote sensing monitoring over development status of oil and gas mines in Ordos Basin, and proved feasibility of remote sensing monitoring method.

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REMOTE SENSING MONITORING AND ANALYSIS OF AGRICULTURAL DROUGHT IN SPRING CONSIDERING IRRIGATION AREA: A CASE STUDY OF DONGLEI IRRIGATION DISTRICT (PHASE II)

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-v-3-2020-483-2020 ◽

2020 ◽

Vol V-3-2020 ◽

pp. 483-488

Author(s):

H. Liu ◽

W. Song ◽

Y. Duan ◽

T. Sun ◽

H. Li ◽

...

Keyword(s):

Remote Sensing ◽

Drought Resistance ◽

Meteorological Data ◽

Precipitation Anomaly ◽

Agricultural Drought ◽

Irrigation District ◽

Drought Monitoring ◽

Irrigation Area ◽

Irrigated Area

Abstract. As one of the common natural disasters, drought is extremely destructive to agriculture. Drought has risen in recent years, so how to effectively monitor drought has become the focus of attention of relevant government departments. When drought occurs, irrigation measures will be taken in the irrigation district for drought resistance and disaster reduction. At this time, drought monitoring based on meteorological data and remote sensing index has certain limitations. Based on the surface temperature data of MODIS, this paper extracted the irrigation area information in the irrigated district, compared the drought monitoring results of irrigated area with those based on precipitation anomaly percentage and vegetation anomaly index, and analysed the importance of agricultural drought monitoring based on remote sensing of irrigated area. This paper considers that it is necessary to consider the distribution of the irrigated area when conducting drought monitoring in the irrigation district, it can improve the accuracy of agricultural monitoring, and it can provide the basis for government and agriculture and other related departments to manage water resources and formulate drought-resistance policies.

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Spatial Distribution and Pollution Assessment of Heavy Metals in Soils in the Jiefangzha Irrigation Area of the Hetao Irrigation District, China

10.21203/rs.3.rs-1072604/v1 ◽

2021 ◽

Author(s):

Qi Zhang ◽

Qingfeng Miao ◽

Junping Lu ◽

Linfeng Yuan ◽

Guoxia Pei

Keyword(s):

Heavy Metal ◽

Spatial Distribution ◽

Hazard Index ◽

Spherical Model ◽

Irrigation District ◽

Kriging Interpolation ◽

Gis Technology ◽

Index Method ◽

Irrigation Area ◽

Hetao Irrigation District

Abstract To explore the characteristics of heavy metal pollution in farmland soils in the Jiefangzha Irrigation Area of the Hetao Irrigation District, Inner Mongolia, 60 samples of the surface soil (0–20 cm) of the irrigation area were collected to detect and analyze the content of the typical heavy metal elements Cu, As, and Pb in the soil. The methods utilized included the single factor index method, the Nemerow index method, the geological accumulation index method, and the potential ecological hazard index method to evaluate their pollution and ecological risks, and these were combined with geostatistical methods using GIS technology to quantitatively analyze their spatial distribution characteristics. The results showed that the average content of Cu, As, and Pb did not exceed the background values in the Hetao Irrigation Area, and the contents showed a moderate variation, with the order of variation as As>Cu>Pb. The multivariate statistical analysis results showed that the three elements, Cu, As, and Pb, had similar sources, being primarily the use of agrochemicals, such as fertilizers and pesticides. The semi-variance function model fitting results showed that Pb was a spherical model, and Cu and As were Gaussian models. The Kriging interpolation showed that the contents of As, Pb, and Cu, in general, showed a trend that was higher in the northwest and lower in the southeast, with a change of gradient increasing from the southeast to the northwest. Human activities were the primary factors that were causing the distribution difference.

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Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database

Remote Sensing ◽

10.3390/rs11151772 ◽

2019 ◽

Vol 11 (15) ◽

pp. 1772

Author(s):

Ke Sun ◽

Qinghua Su ◽

Yanfang Ming

Keyword(s):

Remote Sensing ◽

Dust Storm ◽

Land Surface ◽

Dust Storms ◽

Radiative Transfer Model ◽

Transfer Model ◽

Surface Reflectance ◽

Monitoring Method ◽

Remote Sensing Monitoring ◽

Land Surface Reflectance

MODIS (Moderate Resolution Imaging Spectroradiometer) land product subsets can provide high-quality prior knowledge for the quantitative inversion of land and atmospheric parameters. Using the LSR (Land Surface Reflectance) dataset, dust storm remote sensing monitoring in this study was carried out via quality control and data synthesis. A dynamic threshold supported dust storm monitoring method was proposed based on a monthly synthesized LSR database, which is produced using MOD09A1 data. The apparent reflectance of clear-pixels with different atmospheric conditions was simulated by the radiative transfer model. A pixel can be identified as a dust pixel if the apparent reflectance is larger than that of the simulated data. The proposed method was applied to the monitoring of four dust storms, the results of which were evaluated and analyzed via visual interpretation, MICAPS (Meteorological Information Comprehensive Analysis and Process System), and the OMI AI (Ozone Monitoring Instrument Aerosol Index) with the following conclusions: the dust storm monitoring results showed that most of the dust areas could be accurately detected when compared with the true color composite images, and the dust monitoring results agreed well with the MICAPS observation station data and the OMI AI dust products.

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