tendinitis
发表于 2025-3-23 10:58:15
,Statistical Analysis of Long-Term Temporal Trends of Temperature During 1901–2002 at Kancheepuram iiers, among others. Kancheepuram district falls under the northeastern agroecological zones of Tamil Nadu. Agriculture is the main occupation and is mainly dependent on the monsoon. Since the potential agricultural yields are predicted to decrease for the projected increase in temperature, the aim o
critic
发表于 2025-3-23 14:27:00
,Statistical Analysis of Long-Term Temporal Trends of Temperature During 1901–2002 at Kancheepuram iiers, among others. Kancheepuram district falls under the northeastern agroecological zones of Tamil Nadu. Agriculture is the main occupation and is mainly dependent on the monsoon. Since the potential agricultural yields are predicted to decrease for the projected increase in temperature, the aim o
货物
发表于 2025-3-23 19:41:51
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变化
发表于 2025-3-24 01:30:13
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oblique
发表于 2025-3-24 04:25:05
Assessment of Changes in Wetland Storage in Gurupura River Basin of Karnataka, India, Using Remote nd cover dynamics and other contributing factors on spatial status of Gurupura river basin wetland ecosystem located in Karnataka region. The impact assessment has been carried out by analyzing the multi-temporal changes in the storage capacities of wetlands in the watershed, by using remote sensing
Blanch
发表于 2025-3-24 09:19:36
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思考
发表于 2025-3-24 14:25:09
,Multivariate Statistical Analysis of River Water Quality—A Study on River Godavari in Andhra Pradester quality indices (WQI) are computed in two methods, viz. NSFWQI and WAIWQI methods. The water quality data pertaining to the period 2002–2016 is analyzed for its seasonal variation using multivariate statistical methods like CA, PCA, FA and taking into consideration the physico-chemical, biologic
Aspirin
发表于 2025-3-24 16:40:30
,Multivariate Statistical Analysis of River Water Quality—A Study on River Godavari in Andhra Pradester quality indices (WQI) are computed in two methods, viz. NSFWQI and WAIWQI methods. The water quality data pertaining to the period 2002–2016 is analyzed for its seasonal variation using multivariate statistical methods like CA, PCA, FA and taking into consideration the physico-chemical, biologic
慢慢冲刷
发表于 2025-3-24 21:14:22
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FLINT
发表于 2025-3-24 23:51:05
A Study on Seasonal Variation of the Groundwater Chemistry in Andhra University Campus, Visakhapatns suitability for domestic purpose. Groundwater samples are collected from the twenty-five bore wells located in the campus during the post-monsoon (November 2015–February 2016), Pre-monsoon (March 2016–June 2016) and Monsoon (July 2016–October 2016) periods at regular intervals of time and are anal